categories,certificates,courseId,courseType,description,domainTypes,instructorIds,instructors,level,name,partnerIds,partnerLogo,partners,photoUrl,primaryLanguages,s12nIds,slug,specializations,workload,_run_id,_dataset_id
[],"[""VerifiedCert""]",l31la3mKEe-zFg7heHyXOQ,v2.ondemand,"This is a self-paced lab that takes place in the Google Cloud console. This lab will provide an introductory, hands-on experience with Generative AI on Google Cloud.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Getting started with the Vertex AI Gemini 1.5 Pro Model,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c5/e1dc34a146454fad3d65ce2304cb2b/Logo-Image_GC-Projects.png,"[""en""]",[],googlecloud-getting-started-with-the-vertex-ai-gemini-1-5-pro-model-i43mr,[],1 hour 30 minutes,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",mukrVoSKEe-L8RKezlgehQ,v2.ondemand,This is a self-paced lab that takes place in the Google Cloud console. Learn how to secure a Compute Engine instance with Identity-Aware Proxy (IAP).,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Securing Compute Engine Applications and Resources using Chrome Enterprise Premium,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8f/7d0162fcc7497f8fd420f0bcca6271/Logo-Image_GC-Projects.png,"[""en""]",[],googlecloud-securing-compute-engine-applications-and-resources-using-chrom-or1ml,[],1 hour 30 minutes,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert"", ""Specialization""]",rrZX06kxEeyjPxJkzIUqCw,v2.ondemand,"This is a self-paced lab that takes place in the Google Cloud console.

In this lab, you migrate MySQL data from an Amazon RDS instance for MySQL to Cloud SQL for MySQL using a one-time Database Migration Service job and an IP allowlist for connectivity. After you create and run the migration job, you confirm that the data have been successfully migrated to your Cloud SQL for MySQL instance.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,Migrating to Cloud SQL from Amazon RDS for MySQL Using Database Migration Service,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a5/5132d1e2b745e98406ea168e0b4196/Logo-Image_GC-Projects.png,"[""en""]","[""child~VdSS0tvpQ56tUwmkMX7V5g""]",googlecloud-migrating-to-cloud-sql-from-amazon-rds-for-mysql-using-databas-lyazm,[],1.5 hours,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",pkGGJ4SKEe-L8RKezlgehQ,v2.ondemand,"This is a self-paced lab that takes place in the Google Cloud console. In this lab you learn how to use Gemini code generation, explanation and suggestions in BigQuery.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Develop Code with Gemini in BigQuery,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c6/37e68e74a84a4c9dec29d2236b7480/Logo-Image_GC-Projects.png,"[""en""]",[],googlecloud-develop-code-with-gemini-in-bigquery-l6l2o,[],1 hour 30 minutes,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",YnC4qHR6Ee2hYgoC8bKiUw,v2.ondemand,"Ce cours présente une approche pratique du workflow de ML avec une étude de cas dans laquelle une équipe est confrontée à plusieurs exigences métier et cas d'utilisation de ML. Cette équipe doit comprendre quels outils sont nécessaires pour gérer et gouverner les données, et trouver la meilleure approche pour les prétraiter.

On présente à cette équipe trois options de création de modèles de ML pour deux cas d'utilisation spécifiques. Ce cours explique pourquoi l'équipe tire parti des avantages d'AutoML, de BigQuery ML ou de l'entraînement personnalisé pour atteindre ses objectifs.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Machine Learning in the Enterprise - Français,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f1/2afc90480611e880aa37659b7d325c/new-ml-on-gcp-logo.png,"[""fr""]",[],machine-learning-in-enterprise-fr,[],"3 weeks of study, 5-7 hours per week",BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",3K3rBiYYEe6JJAruShrzEQ,v2.ondemand,"Ce cours présente les modèles de diffusion, une famille de modèles de machine learning qui s'est récemment révélée prometteuse dans le domaine de la génération d'images. Les modèles de diffusion trouvent leur origine dans la physique, et plus précisément dans la thermodynamique. Au cours des dernières années, ils ont gagné en popularité dans la recherche et l'industrie. Ils sont à la base de nombreux modèles et outils Google Cloud avancés de génération d'images. Ce cours vous présente les bases théoriques des modèles de diffusion, et vous explique comment les entraîner et les déployer sur Vertex AI.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Introduction to Image Generation - Français,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d3/096bada5a04c7eb189170bd8986460/GFX_Coursera_Asset_Full_1200x1200.png,"[""fr""]",[],introduction-to-image-generation---franais,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",B6LZjKkwEeyjPxJkzIUqCw,v2.ondemand,This is a self-paced lab that takes place in the Google Cloud console. This lab teaches you how logging works on GKE and some best practices for log collection by going through some common logging use cases.,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Debugging Apps on Google Kubernetes Engine,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bd/276fc6cc174efb8a17978351516748/Logo-Image_GC-Projects.png,"[""en""]",[],googlecloud-debugging-apps-on-google-kubernetes-engine-8pzmb,[],1 hour 15 minutes,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",JnH_K9STEe6PnQom9vUvGw,v2.ondemand,This is a self-paced lab that takes place in the Google Cloud console. This lab provides a variety of different use cases enabled by multimodality with Gemini Pro Vision.,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Multimodality with Gemini,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ca/892da14a34453dae5172b7ee5d71bf/Logo-Image_GC-Projects-1-.png,"[""en""]",[],googlecloud-multimodality-with-gemini-zlf0n,[],60 minutes,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert"", ""Specialization""]",DX6sNLStEeyQSBIjGmLcFQ,v2.ondemand,"This course teaches you how to implement various capabilities that include data organization and management, application security, actions and integrations in your app using AppSheet. The course also includes topics on managing and upgrading your app, improving performance and troubleshooting issues with your app.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Building No-Code Apps with AppSheet: Implementation,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ab/119d3ad1574041b2c0f1ac069bfbff/T-APSDEV2-I_Coursera_Badge.png,"[""en""]","[""RqbzaBT2Ee23lA5M6fYDvQ""]",building-no-code-apps-with-appsheet-implementation,[],"3 weeks of study, 3-4 hours/week.",BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",UPRTlVKVEfG32w6eQkxMUQ,v2.ondemand,本课程旨在帮助 Google Workspace 管理员排查常见的 Google Workspace 问题。学员将练习诊断并解决 Gmail、日历和云端硬盘中的问题，并了解管理控制台的使用方法。学员还将体验如何分析审核日志以排查安全问题，以及收集信息并使用可用资源来排查并报告技术问题。,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Google Workspace 问题排查,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e1/6791dd855b4e09b6cde185b47af180/Logo-Image_GC-Projects.png,"[""zh-CN""]",[],google-workspace-troubleshooting-zh,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",HOpuOakxEeywagovoAKHOQ,v2.ondemand,"This is a self-paced lab that takes place in the Google Cloud console.
In this lab, you will learn how to implement a full data protection strategy with NetApp Cloud Volumes ONTAP and Cloud Manager capabilities.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Protecting Data with NetApp Cloud Manager & Cloud Volumes ONTAP for Google Cloud,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/86/a25ccbf95640aa9ff30da6fbdeb9aa/Logo-Image_GC-Projects.png,"[""en""]",[],googlecloud-protecting-data-with-netapp-cloud-manager-cloud-volumes-ontap-iojct,[],1 hour 30 minutes,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",6R2fSxKeEe-r_Ar_6dbL9Q,v2.ondemand,This is a self-paced lab that takes place in the Google Cloud console. This lab shows you how to assess data quality using Dataplex.,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Assessing Data Quality with Dataplex,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/49/e332c28c484246b550da69f17a3d0d/Logo-Image_GC-Projects.png,"[""en""]",[],googlecloud-assessing-data-quality-with-dataplex-fk1hs,[],90 minutes,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert"", ""Specialization""]",meTYWAVTEe60fA6KcFIaOQ,v2.ondemand,"This course introduces the Cloud Run serverless platform for running applications. 
In this course, you learn about the fundamentals of Cloud Run, its resource model and the container lifecycle. 
You learn about service identities, how to control access to services, and how to develop and test your 
application locally before deploying it to Cloud Run. The course also teaches you how to integrate 
with other services on Google Cloud so you can build full-featured applications.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Developing Applications with Cloud Run on Google Cloud: Fundamentals,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/dd/5a96f85cc1488cad320393a3a908e4/Logo-Image_GC-Projects-1-.png,"[""en""]","[""7Hg0vr9JTaGBg9VFPF_ndA"", ""child~OG7fAJ-YSsyGuLFyABAvlQ"", ""cpD9gcn8SaSlOab7SGBAmA""]",developing-applications-with-cloud-run-on-gcp-fundamentals,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert"", ""Specialization""]",7sNP37xrEeiL4Q6DgrZ6DA,v2.ondemand,"This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.

- Recognize the NLP products and the solutions on Google Cloud.
- Create an end-to-end NLP workflow by using AutoML with Vertex AI.
- Build different NLP models including DNN, RNN, LSTM, and GRU by using TensorFlow.
- Recognize advanced NLP models such as encoder-decoder, attention mechanism, transformers, and BERT.
- Understand transfer learning and apply pre-trained models to solve NLP problems.

Prerequisites: Basic SQL, familiarity with Python and TensorFlow","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,Natural Language Processing on Google Cloud,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/02/677f75c3f14f1091cf63cdbd1a30bc/T-SQML-O_BDG_P_EN.png,"[""en""]","[""child~sA-5ClqkEe2w_w4kwSRnwQ""]",sequence-models-tensorflow-gcp,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",CJlO86ktEeyjPxJkzIUqCw,v2.ondemand,This is a self-paced lab that takes place in the Google Cloud console. In this lab you use Machine Learning (ML) to analyze the public NCAA dataset and predict NCAA tournament brackets.,"[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Bracketology with Google Machine Learning,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9b/8c0fcac53f460384b44f61ce2e4052/Logo-Image_GC-Projects.png,"[""en""]",[],googlecloud-bracketology-with-google-machine-learning-5ytsd,[],1 hour,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",6EWxW0jVEe-mywr_6bZvLw,v2.ondemand,"이 과정에서는 AI 기반 검색 기술, 도구, 애플리케이션을 살펴봅니다. 벡터 임베딩을 활용하는 시맨틱 검색, 시맨틱 방식과 키워드 방식을 결합한 하이브리드 검색, 그라운딩된 AI 에이전트로서 AI 할루시네이션을 최소화하는 검색 증강 생성(RAG)에 대해 알아보세요. Vertex AI 벡터 검색을 활용해 지능형 검색 엔진을 빌드하는 실무 경험을 쌓을 수 있습니다.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,벡터 검색 및 임베딩,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c0/33e2f245084d4fb3f6ce384116f3f3/GFX_Coursera_Asset_Full_1200x1200.png,"[""ko""]",[],vector-search-and-embeddings-ko,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert"", ""Specialization""]",baumlTm8Eeeahg4SvlLy9A,v2.ondemand,"In this course, you learn how to secure your APIs. You explore the security concerns you will encounter for your APIs. You learn about OAuth, the primary authorization method for REST APIs. You will learn about JSON Web Tokens (JWTs) and federated security. You also learn about securing against malicious requests, safely sending requests across a public network, and how to secure your data for users of Apigee.

Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform.

This is the second course of the Developing APIs with the Apigee API Platform series. After completing this course, enroll in the API Development with the Apigee API Platform course.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,API Security with the Apigee API Platform,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d5/1a3640f0d311e7b588674c27e9b674/1.png,"[""en""]","[""child~1lYWrsuwEeq7JgosNqPxKQ""]",api-security-apigee-gcp,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",Zu4U6Dh2Ee-hvAr_8yolJQ,v2.ondemand,"Neste curso, apresentamos conceitos de IA responsável e princípios de IA. Ele contém técnicas para identificar e reduzir o viés e aplicar a imparcialidade nas práticas de ML/IA. Vamos abordar ferramentas e métodos práticos para implementar as práticas recomendadas de IA responsável usando produtos do Google Cloud e ferramentas de código aberto.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Responsible AI for Developers: Fairness & Bias - Português,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e5/1c627d97654e14b964246e86375d0e/Logo-Image_GC-Projects-1-.png,"[""pt-BR""]",[],responsible-ai-for-developers-fairness-ptbr,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",zBpEbnDwEe-26RI4cE3yzw,v2.ondemand,이 과정은 BigQuery에서 생성형 AI 작업에 AI/ML 모델을 사용하는 방법을 보여줍니다. 고객 관계 관리와 관련된 실제 사용 사례를 통해 Gemini 모델로 비즈니스 문제를 해결하는 워크플로를 설명합니다. 이해를 돕기 위해 SQL 쿼리와 Python 노트북을 사용하는 코딩 솔루션을 단계별로 안내합니다.,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Work with Gemini Models in BigQuery - 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/33/0c99c92de54e5680efc78a0d8e644b/Logo-Image_GC-Projects-1-.png,"[""ja""]",[],work-with-gemini-models-in-bigquery-ja,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert"", ""Specialization""]",iktJcZkYEfC7qhKhVbTnqQ,v2.ondemand,"「生成式 AI：掌握幕後技術與環境」是 Generative AI Leader 學習路徑的第三門課程。生成式 AI 正在改變我們的工作方式,以及我們如何與周遭的世界互動。身為領導者,您要如何駕馭 AI 強大的功能,創造實際業務成果?在本課程中,您將認識建構生成式 AI 解決方案時的各個層面、Google Cloud 產品,以及選擇解決方案時應考量的因素。","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,生成式 AI：掌握幕後技術與環境,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/75/b33b614af64f91939450ab25703156/Logo-Image_GC-Projects-1-.png,"[""zh-TW""]","[""mX2hiLKzS1KrhyoTAtqGwA""]",gen-ai-navigate-the-landscape-zhtw,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",R1B09BpoEe6dsRI5EA87dw,v2.ondemand,このコースでは、Transformer アーキテクチャと Bidirectional Encoder Representations from Transformers（BERT）モデルの概要について説明します。セルフアテンション機構をはじめとする Transformer アーキテクチャの主要コンポーネントと、それが BERT モデルの構築にどのように使用されているのかについて学習します。さらに、テキスト分類、質問応答、自然言語推論など、BERT を適用可能なその他のタスクについても学習します。このコースの推定所要時間は約 45 分です。,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,Transformer Models and BERT Model - 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/94/3d064ee27b4268a3b53a600201c0af/Logo-Image_GC-Projects-1-.png,"[""ja""]",[],transformer-models-and-bert-model-ja,[],"1 week of study, 6-8 hours",BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",MloiaILnEfGm-Q67LiuERQ,v2.ondemand,"Banyak perusahaan tradisional menggunakan sistem dan aplikasi lama yang tidak dapat mengikuti ekspektasi pelanggan modern. Para pemimpin bisnis sering kali harus memilih antara mempertahankan sistem IT lama mereka atau berinvestasi pada produk dan layanan baru. Kursus ini mengeksplorasi tantangan tersebut dan menawarkan solusi untuk mengatasinya dengan menggunakan teknologi cloud.

Sebagai bagian dari alur pembelajaran Cloud Digital Leader, kursus ini bertujuan membantu individu berkembang dalam peran mereka dan membangun masa depan bisnis mereka.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Memodernisasi Infrastruktur dan Aplikasi dengan Google Cloud,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b8/5961c454074d059a76684d2c5c762b/GFX_Coursera_Asset_Full_1200x1200.png,"[""id""]",[],google-cloud-product-fundamentals-id,[],"3-4 hours of study, no less than 1 hour/day",BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",JMshuFW8EfCt0wr_8L_7mQ,v2.ondemand,"Este curso foi criado para ajudar a entender como os usuários e recursos são gerenciados no Workspace. Os estudantes vão conhecer a configuração de unidades organizacionais e como ela pode ser adaptada às demandas das organizações em que trabalham. Além disso, os estudantes vão aprender a gerenciar vários tipos de grupos do Google. O curso também vai mostrar como gerenciar as configurações de domínios no Google Workspace. Por fim, os estudantes aprenderão a otimizar e estruturar recursos no seu ambiente do Google Workspace.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Gerenciamento de usuários e recursos no Google Workspace,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9a/ea4d96bf1c4301bbb55c8b6813d4ce/GFX_Coursera_Asset_Full_1200x1200.png,"[""pt-BR""]",[],google-workspace-user-and-resource-management-ptbr,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",NFdmBE0-EfGWtRJ02S6Hnw,v2.ondemand,"Spécialement conçu pour les professionnels de santé, ce cours lève le voile sur l'IA générative (la dernière avancée en matière d'intelligence artificielle) et les grands modèles de langage ou LLM (la technologie qui alimente ce type d'IA). Découvrez des applications concrètes de l'IA générative dans le secteur de la santé et apprenez à créer des prompts efficaces adaptés à vos objectifs.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,L'IA générative pour le secteur de la santé,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/57/a112d94a9e4f29bb4fd5f45be53480/GFX_Coursera_Asset_Full_1200x1200.png,"[""fr""]",[],lia-gnrative-pour-le-secteur-de-la-sant-fr,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",Kcsq-jQpEfGX5xJ4G1cncw,v2.ondemand,"Neste curso, você vai embarcar em uma jornada completa pelas soluções de armazenamento disponíveis no Google Cloud, especialmente desenvolvidas para cargas de trabalho de IA e de computação de alto desempenho (HPC, na sigla em inglês). Você vai aprender a escolher o armazenamento certo para cada etapa do ciclo de vida de machine learning, descobrir como otimizar o desempenho de E/S durante o treinamento, como gerenciar conjuntos de dados enormes para preparação de dados e como disponibilizar artefatos do modelo com baixa latência. Por meio de exemplos práticos e demonstrações, você vai adquirir a experiência necessária para projetar soluções de armazenamento robustas que aceleram a inovação em IA.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Infraestrutura de IA: opções de armazenamento,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e1/d6cca524214c669b405335a920049e/GFX_Coursera_Asset_Full_1200x1200.png,"[""pt-BR""]",[],ai-infrastructure-storage-options-ptbr,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert"", ""Specialization""]",zLmOlIuWEeuE_RKa-eRtaQ,v2.ondemand,"En este curso, te presentamos Google Meet, el software para videoconferencias de Google que se incluye en Google Workspace. 

Aprenderás a crear y administrar reuniones de videoconferencia con Google Meet. Descubrirás diferentes maneras para abrir Google Meet y agregar personas a una videoconferencia. También aprenderás a unirte a reuniones desde diferentes fuentes, como eventos de calendario o vínculos de reuniones.

Explicaremos cómo Google Meet te puede ayudar a comunicarte mejor, intercambiar ideas y compartir recursos con tu equipo donde sea que estén. Aprenderás a personalizar el entorno de Google Meet según tus necesidades y a utilizar eficazmente los mensajes de chat durante una videoconferencia. También descubrirás diferentes maneras para compartir recursos, como usar las invitaciones o los archivos adjuntos del calendario.

Aprenderás a usar los controles del organizador en Google Meet para administrar a los participantes y utilizar las funciones de moderación interactiva. También aprenderás a grabar y transmitir en vivo las videoconferencias.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Google Meet - Español,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7e/aac52fdf3b4242bf7fe1fe5a88cf3d/google_meet_espanol_test-02-07.png,"[""es""]","[""child~P3fLbdcmSWqmwObo0vZPuA""]",google-meet-and-google-chat-es,[],"3 weeks of study, 6-8 hours/week",BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",HnLOFXQKEe-CUA7-5BJkaw,v2.ondemand,This is a self-paced lab that takes place in the Google Cloud console. Learn how to run distributed services on multiple Google Kubernetes Engine (GKE) clusters in Google Cloud using Multi Cluster Ingress and GKE Service Mesh,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,Manage and Secure Distributed Services with GKE Managed Service Mesh,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5d/6977dce2644d39910d89ed3e48dd04/Logo-Image_GC-Projects.png,"[""en""]",[],googlecloud-manage-and-secure-distributed-services-with-gke-managed-servic-ap1vv,[],1 hour 30 minutes,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert"", ""Specialization""]",Rdn9ByChEey1uRLrSkRGzw,v2.ondemand,"La technologie cloud est un atout de taille qui, lorsqu'elle est associée aux données, devient un catalyseur d'innovation et d'amélioration de l'expérience client. Le cours ""Explorer la transformation des données avec Google Cloud"" explique comment les entreprises peuvent exploiter le cloud pour rendre leurs données plus accessibles, exploitables et utiles.

Ce cours fait partie du parcours de formation Cloud Digital Leader. Il vise à aider les participants à évoluer dans leur poste et à bâtir l'avenir de leur entreprise.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Exploring Data Transformation with Google Cloud - Français,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c0/d3e686696c4db781469e543bf5a78f/C-INNDATA-B_Innovatio_Data_Google_Cloud_1200x1200_dark.png,"[""fr""]","[""y3KeiyCiEey21BJJm06_RQ""]",innovating-with-data-google-cloud-fr,[],"1 week of study, 3-4 hours/week",BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",Ln-PV6G8Ee-wtA68ZKvl0w,v2.ondemand,"Ce cours présente Gemini dans BigQuery, une suite de fonctionnalités basées sur l'IA conçue pour faciliter le workflow ""des données à l'IA"". Ces fonctionnalités incluent l'exploration et la préparation des données, la génération et le dépannage de code, ainsi que la découverte et la visualisation du workflow. Au moyen d'explications conceptuelles, d'un cas d'utilisation concret et d'ateliers pratiques, le cours explique aux professionnels des données comment booster leur productivité et accélérer le pipeline de développement.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Boost Productivity with Gemini in BigQuery - Français,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/32/2342328d034de4a27c6fb0d3e1ef43/Logo-Image_GC-Projects-1-.png,"[""fr""]",[],boost-productivity-with-gemini-in-bigquery---franais,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",TgqxVz_aEfGz9w42jcKzgw,v2.ondemand,本課程介紹 Google Workspace 的使用者和資源管理功能，學員將瞭解如何根據組織需求來設定組織單位、管理各類型的 Google 群組、培養有關管理 Google Workspace 網域設定的專業知識，最後學會如何最佳化及整理 Google Workspace 環境內的資源。,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Google Workspace 的使用者和資源管理功能,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6b/e6e7c5d20446ebb9ddf4535fe86536/GFX_Coursera_Asset_Full_1200x1200.png,"[""zh-TW""]",[],google-workspace-user-and-resource-management-zhtw,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",06HnvWkJEe-ZVAr_5CUYPw,v2.ondemand,"This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will create a Cloud Function for Node.js that reports whether a specified temperature is acceptable or too hot. You will create, test, and debug your Cloud Function using Visual Studio Code on your local machine. Lastly, you'll deploy your function to Google Cloud Platform.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Building and Debugging Cloud Functions for Node.js,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5c/7a482efc5846fa810e1c0ea0749995/Logo-Image_GC-Projects.png,"[""en""]",[],googlecloud-building-and-debugging-cloud-functions-for-node-js-yayd9,[],1 hour 30 minutes,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",W7QwooTDEfCzbgr_1h6UfQ,v2.ondemand,"""このコースでは、一部の Google Workspace ユーザーが利用できるオンラインの動画制作および編集アプリ、Google Vids について学びます。レッスンとデモを通じて、職場で動画を通じて魅力的なストーリーを作成し伝える方法を学びます。また、メディア、音声、動画クリップをシームレスに取り込む、スタイルをカスタマイズする、作成した動画を簡単に共有するといった方法も学べます。

Google Vids の一部の機能では、作業効率を高めるために生成 AI を使用しています。Gemini を含む生成 AI ツールは不正確または不適切な情報を示す場合があるため、Gemini 機能を医療、法律、金融、またはその他の専門的な助言として利用しないでください。また、Gemini 機能による提案は Google の見解を述べるものではなく、Google に帰属するものでもないことにもご留意ください。""","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Google Vids で魅力的な動画を作成,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d8/75ef6b44c348339992e59daf599970/Logo-Image_GC-Projects-1-.png,"[""ja""]",[],google-vids-ja,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",eZ6q1UIPEfGz9w42jcKzgw,v2.ondemand,"Ce cours constitue un guide complet pour déployer, gérer et optimiser des charges de travail d'IA et de calcul hautes performances (HPC) sur Google Cloud. À travers une série de leçons et de démonstrations pratiques, vous explorerez diverses stratégies de déploiement, allant d'environnements hautement personnalisables utilisant Google Compute Engine (GCE) à des solutions gérées comme Google Kubernetes Engine (GKE). Plus précisément, vous apprendrez à créer des clusters et à déployer GKE pour l'inférence.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Infrastructure d'IA : types de déploiements,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/01/eaa7016a054a0495edd8526c1f4298/GFX_Coursera_Asset_Full_1200x1200.png,"[""fr""]",[],ai-infrastructure-deployment-types-fr,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",SxXuFKkyEeyjPxJkzIUqCw,v2.ondemand,"This is a self-paced lab that takes place in the Google Cloud console. In this lab you use Cloud Functions and Pub/Sub to create an end-to-end document processing pipeline using Document AI. The Document AI API is a document understanding solution that takes unstructured data, such as documents and emails, and makes the data easier to understand, analyze, and consume.

In this lab, you will create a document processing pipeline that will automatically process documents that are uploaded to Cloud Storage. The pipeline consists of a primary Cloud Function that processes new files that are uploaded to Cloud Storage using a Document AI form processor and then saves form data detected in those files to BigQuery. If the form data includes any address fields the address data is then written to a Pub/Sub topic that in turn triggers a second Cloud Function that uses to Geocoding API to provide geographic coordinate data for the address that is also written to BigQuery.

This is a simple pipeline that uses a general form processor that will detect basic form data, such as a labelled field containing address information. Document AI processors that use one of the specialized parsers that are beyond the scope of this lab provide enhanced entity information for specific document types even when those documents do not include labelled fields. For example, a Document AI Invoice parser can provide detailed address and supplier information, from an unlabelled invoice document because it understands the layout of invoices.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Build an End-to-End Data Capture Pipeline using Document AI,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d7/3a85ffa8a443c5bd59082a6b376759/Logo-Image_GC-Projects.png,"[""en""]",[],googlecloud-build-an-end-to-end-data-capture-pipeline-using-document-ai-wiisg,[],1 hour,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",sXUTm6G_Ee-BtBK6nJIJew,v2.ondemand,このコースでは、データを AI 活用へつなげるためのワークフローに役立つ AI 搭載の機能スイート、Gemini in BigQuery について説明します。この機能スイートには、データの探索と準備、コード生成とトラブルシューティング、ワークフローの検出と可視化などが含まれます。このコースでは、概念の説明、実際のユースケース、ハンズオンラボを通じて、データ実務者が生産性を高め、開発パイプラインを迅速化できるよう支援します。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Boost Productivity with Gemini in BigQuery - 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0e/7dab20af244ad8b50b04cab029e115/Logo-Image_GC-Projects-1-.png,"[""ja""]",[],boost-productivity-with-gemini-in-bigquery-ja,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",HHIwfNd-Ee24zA5Eu0YNIw,v2.ondemand,"This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use the Cloud Operations Tracing and Profiler tools to diagnose and correct application latencies.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Optimizing Applications Using Cloud Profiler,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/63/468c3e597a46a3956cc622ad3de9f6/Logo-Image_GC-Projects-1-.png,"[""en""]",[],googlecloud-optimizing-applications-using-cloud-profiler-1sh2v,[],90 minutes,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",I4IHiKkpEeyxDg4ukgkVlw,v2.ondemand,"This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to collect, record, and monitor time-series data on Google Cloud Platform (GCP) using OpenTSDB running on Google Kubernetes Engine and Google Cloud Bigtable.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Using OpenTSDB to Monitor Time-Series Data on Cloud Platform,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a5/0b1681d3424835bd5c660a0aabf040/Logo-Image_GC-Projects.png,"[""en""]",[],googlecloud-using-opentsdb-to-monitor-time-series-data-on-cloud-platform-spfpj,[],1 hour,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert"", ""Specialization""]",Tq_sjE-_EeiNBQqYqBGpZg,v2.ondemand,"Le cours ""Google Cloud Fundamentals: Core Infrastructure"" présente les concepts et les termes à connaître pour utiliser Google Cloud. À travers des vidéos et des ateliers pratiques, il décrit et compare la plupart des services Google Cloud de calcul et de stockage, ainsi que des outils importants de gestion des ressources et des règles.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Google Cloud Fundamentals: Core Infrastructure en Français,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/31/8ffb301bf011e79fa2d5b154b6a30b/GCP-Fundamentals-Core-Infra.jpg,"[""fr""]","[""8eVWiSx0EeykngqJ-yiGOw"", ""child~gC-JSanNEeq38A5jIrONVw"", ""kSzHp4vUEeqD9xLSDzLx6w"", ""vHrpByx1EeyVbAoZMu9cMw""]",gcp-fundamentals-fr,[],"Une semaine de formation, six à dix heures par semaine",BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",jKBytSs9EfCFOw5SEzGjMQ,v2.ondemand,"Com o Agentspace, você aproveita o melhor do Google em pesquisa e IA. Ele é uma ferramenta empresarial que ajuda as pessoas a encontrar informações específicas em documentos armazenados, e-mails, chats, sistemas de emissão de tickets e outras fontes de dados, tudo em apenas uma barra de pesquisa. O assistente do Agentspace também ajuda a criar ideias, fazer pesquisas, estruturar documentos e realizar ações como convidar colegas para um evento da agenda, agilizando os trabalhos intelectuais e todos os tipos de colaboração.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Acelere o intercâmbio de conhecimento com o Gemini Enterprise,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b2/85a2019776426cb9e9231980bda4c3/Logo-Image_GC-Projects-1-.png,"[""pt-BR""]",[],acelere-a-troca-de-conhecimento-com-o-agentspace,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",k8BRgbSQEfC9DA7IUsuzoQ,v2.ondemand,"Este curso é uma preparação para o exame da certificação Professional Cloud Security Engineer (PCSE). Os estudantes terão contato com os tópicos do exame e vão praticá-los em uma série de aulas, perguntas de diagnóstico e testes de conhecimento. Após a conclusão do curso, os alunos terão um material de apoio personalizado para ajudar no restante da jornada de preparação para a certificação.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Preparação para sua jornada até a certificação Professional Cloud Security Engineer,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1a/524bcf74ff4fa3a80234692c8c2373/GFX_Coursera_Asset_Full_1200x1200.png,"[""pt-BR""]",[],preparao-para-sua-jornada-at-a-certificao-pcse-ptbr,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert"", ""Specialization""]",m9Rh-EPaEeqEIAr9EHdN-Q,v2.ondemand,"Many traditional enterprises use legacy systems and apps that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems and investing in new products and services. This course explores these challenges and offers solutions to overcome them by using cloud technology.

As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Modernize Infrastructure and Applications with Google Cloud,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/58/220c3c9a90494ab97e8c78ec14eac2/google-cloud-product-fundamentals.png,"[""en""]","[""child~CfLFvLpPEeugUg6IsgGD_Q"", ""child~oI3ru_gaRm2_zh_ytWoHaQ"", ""child~NxJ7OUSzSXmXoTDNLZkJwA""]",google-cloud-product-fundamentals,[],"3-4 hours of study, no less than 1 hour/day",BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",f4-5tZHSEe-jlw4NkAElrw,v2.ondemand,在本课程中，您将了解 Google Cloud 数据工程、数据工程师的角色和职责，以及相关的 Google Cloud 产品和服务。您还将了解如何应对数据工程挑战。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Introduction to Data Engineering on Google Cloud - 简体中文,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/99/41681f46b34577a7464bdce8ecc175/0-Logo-Image_GC-Projects.png,"[""zh-CN""]",[],introduction-to-data-engineering-on-google-cloud-zh,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",IlaflWDCEfGHDw4Tc-Ry9Q,v2.ondemand,データベース向け MCP ツールボックスを使用して、エンタープライズ データベースを活用できる AI エージェントを構築します。安全なデータベース操作ツールを定義し、インテリジェントなクエリ機能を実装します（ベクトル エンベディング、構造化クエリを活用）。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,エンタープライズ データベースを使用した AI エージェントの構築,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/29/41d3e739c441fe9986100c7ad3405c/GFX_Coursera_Asset_Full_1200x1200.png,"[""ja""]",[],build-ai-agents-with-enterprise-databases-ja,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",vTrmvqkpEeyxDg4ukgkVlw,v2.ondemand,"This is a self-paced lab that takes place in the Google Cloud console.

Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Distributed Load Testing Using Kubernetes,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d1/1277f573064a2494eda7ee734c0eb3/Logo-Image_GC-Projects.png,"[""en""]",[],googlecloud-distributed-load-testing-using-kubernetes-9vl8y,[],1 Hour,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",J_6Tix6OEfC5wQ7Ux-t3bw,v2.ondemand,"Optimieren Sie die Navigationsumgebung Ihrer Website mit generativer KI, um die Suchfunktion für die Nutzer zu verbessern. In diesem Kurs lernen Sie, wie Sie mit Vertex AI Search Ihren Nutzern eine auf generativer KI basierende Suchfunktion bieten können, mit der sich Inhalte auf der Website einfacher finden lassen. Als Website-Editor lernen Sie außerdem, wie Sie mit generativer KI schnell und effizient anhand von Vorschlägen Inhalte übersetzen und verbessern können.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Websitemodernisierung mit generativer KI in Google Cloud,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/82/d7be3760004a60a35b239286c32708/GFX_Coursera_Asset_Full_1200x1200.png,"[""de""]",[],websitemodernisierung-mit-generativer-ki-in-google-cloud-de,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert"", ""Specialization""]",LOl6u1yQEfCdDhJt6L1Wkw,v2.ondemand,"Agents d'IA générative : transformer l'entreprise est le cinquième et dernier cours du parcours de formation ""Leader en IA générative"". Il aborde la façon dont les entreprises peuvent utiliser des agents d'IA générative personnalisés pour relever des défis métier spécifiques. Des exercices pratiques vous apprendront à créer un agent d'IA générative de base tout en découvrant les composants de ces agents, comme les modèles, les boucles de raisonnement et les outils.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Agents d'IA générative : transformer l'entreprise,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3d/a3b1e6516241709484ddc247340a4c/GFX_Coursera_Asset_Full_1200x1200.png,"[""fr""]","[""bdz7kb0XS8K7hbuxuH8gKg""]",agents-dia-gnrative--transformer-lentreprise-fr,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert"", ""Specialization""]",g-STJPVhEeuWbhLo_UpjIw,v2.ondemand,"?מהי טכנולוגיית ענן ומהו מדע הנתונים? וחשוב יותר, איך הם יכולים לעזור לכם, לצוות שלכם ולעסק שלכם

.קורס המבוא הזה בנושא טרנספורמציה דיגיטלית מתאים למי שרוצה ללמוד על טכנולוגיית הענן כדי להתמקצע ולהצטיין בעבודתו וכדי לעזור בפיתוח העתיד של העסק
.בקורס יוגדרו מונחי יסוד כגון הענן, נתונים וטרנספורמציה דיגיטלית. בנוסף, נבחן דוגמאות של חברות מרחבי העולם המשתמשות בטכנולוגיית הענן כדי לבצע טרנספורמציה בעסק. הקורס כולל סקירה של סוגי ההזדמנויות שיש לחברות ושל האתגרים הנפוצים שחברות מתמודדות איתם במהלך טרנספורמציה דיגיטלית
.הקורס גם מדגים איך עמודי התווך של פתרונות גוגל קלאוד יכולים לעזור בתהליך  
חשוב לומר: טרנספורמציה דיגיטלית לא קשורה רק לשימוש בטכנולוגיות חדשות. כדי הטרנספורמציה תהיה מלאה, ארגונים צריכים גם ליישם חדשנות ולפתח דפוס חשיבה שמקדם חדשנות בכל התחומים והצוותים. השיטות המומלצות המתוארות בקורס יעזרו לכם להשיג את המטרה הזו.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Digital Transformation with Google Cloud - בעברית,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a0/439b4f2cfa4b388a6ad56a21b2f994/C-DIGTRA-B_Introduction_Digital_Transformation_1200x1200_dark.png,"[""he""]","[""P6p-IhSlEeyxoQrK6fVNaQ""]",digital-transformation-google-cloud-iw,[],"1 week of study, 3-4 hours",BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert"", ""Specialization""]",EJLU-t6tEe2LfA4g_9G5IQ,v2.ondemand,"En este curso, te presentamos Google Chat, el software de chat de Google que se incluye en Google Workspace.

Aprenderás a enviar mensajes a usuarios individuales y grupos en Google Chat. Además, descubrirás opciones de personalización, funciones de colaboración y cómo Google Chat se integra en otros productos de Google Workspace.

Exploraremos el uso de Espacios en Google Chat, y te enseñaremos cómo crearlos, administrarlos, buscarlos y unirte a ellos. También comprenderás las diferencias entre utilizar un espacio y un chat en grupo.

Explorarás las apps de Google Chat y aprenderás a buscar apps y usarlas en la plataforma.

Además de los videos del curso, completarás actividades prácticas para aplicar lo que aprendiste. Considera invitar a un colega o dos para que interactúen contigo en Google Chat a medida que completas las actividades.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Google Chat - Español,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ef/cf75fd34fc43c8ac7f2f3476e03c8f/Logo-Image_GC-Projects-1-.png,"[""es""]","[""child~P3fLbdcmSWqmwObo0vZPuA""]",google-chat-espanol,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",LQMVqakqEeyjPxJkzIUqCw,v2.ondemand,This is a self-paced lab that takes place in the Google Cloud console. This page shows you how to create a streaming pipeline using a Google-Provided Cloud Dataflow template.,"[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Dataflow: Qwik Start - Templates,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/04/ee9f8effcf4c81843566f913a9dc36/Logo-Image_GC-Projects.png,"[""en""]",[],googlecloud-dataflow-qwik-start-templates-jvtzv,[],30 minutes,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],"[""VerifiedCert""]",i4bJ3zqREe-xLxIpRr2Opw,v2.ondemand,"이 과정에서는 Google Cloud의 생성형 AI 기반 파트너인 Gemini가 고객 데이터를 분석하고 제품 판매를 예측하는 데 어떤 도움이 되는지 알아봅니다. BigQuery에서 고객 데이터를 사용해 신규 고객을 식별, 분류, 개발하는 방법도 다룹니다. 실무형 실습을 통해 Gemini로 데이터 분석 및 머신러닝 워크플로가 얼마나 개선되는지 경험할 수 있습니다.

Duet AI의 이름이 Google의 차세대 모델인 Gemini로 변경되었습니다.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Gemini for Data Scientists and Analysts - 한국어,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ca/02e8c32a064546b96a43fabe64c68b/Logo-Image_GC-Projects-1-.png,"[""ko""]",[],gemini-for-data-scientists-and-analysts-ko,[],,BeTQgntBmC6vZWmcD,gVj0O2aKRDRYEvREs
[],[],uu65YNEZEfCOyw4T7tU5XQ,v2.ondemand,"***This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some courses have accessibility limitations and are working to address. If you require accommodation, please contact [AWS Training and Certification Customer Support](https://support.aws.amazon.com/#/contacts/aws-training).*** In this course you will learn how to choose an AWS identity or access management service, what each service does, and which services are applicable to your current needs.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Choosing your AWS identity service,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/24/d3ba96d1b84e178d8d7144d3a3085a/a7c6ede40689fe04bb72e221945f1a12.jpg,"[""en""]",[],choosing-your-aws-identity-service,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],NSJFT9yKEe6V5xI34US_kw,v2.ondemand,"Using the document database service Amazon DocumentDB (with MongoDB compatibility), you can store and scale JavaScript Object Notation (JSON) workloads. You don't need to worry about running cluster management software, configuring backups, or monitoring production workloads. You can also migrate self-managed MongoDB-compatible databases to Amazon DocumentDB because it is fully managed.

In this course, you will learn about the benefits and technical concepts of Amazon DocumentDB. If you are new to the service, you will learn how to start using Amazon DocumentDB through a demonstration of the AWS Management Console and AWS Command Line Interface (AWS CLI). You will learn about the native architecture and how the built-in features help scale and manage your document database workload. The course covers how Amazon DocumentDB fits into a larger cloud-based architecture and typical use cases that are a good fit when building solutions.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Getting Started with Amazon DocumentDB (with MongoDB compatibility),"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/04/eeb3bfca46446baf93dc3bd661cabf/Screenshot-2024-03-14-at-2.17.13-PM.png,"[""en""]",[],aws-getting-started-with-amazon-documentdb-with-mongodb-compatibility,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],HGfFFVWXEe-lhwr_3jGqSQ,v2.ondemand,"In this course, you will learn essential data engineering concepts such as what does a data engineer do, how to perform data discovery, and which AWS data services are available for running, automating, and securing your data solutions and projects. The course introduces you to data engineering tools for continuous integration and continuous delivery (CI/CD), infrastructure as code (IaC), serverless applications, cost optimization, and authentication. You will also learn what networking concepts should be taken into consideration for data engineers.

The course is divided into different modules. With the learning modules, you will learn new concepts and get introduced to AWS services to build your solution.

In this course you will learn to:

- Describe the data engineering role and personas they work with.
- Identify how to perform data discovery to help define requirements and review considerations.
- Identify common data architectures and appropriate AWS services.
- Recognize how to orchestrate and automate data pipelines using AWS services.
- Identify AWS security and monitoring services.
- Identify common CI/CD tools used by data engineers on AWS.
- Identify IaC tools used by data engineers on AWS.
- Describe AWS Serverless Application Model (AWS SAM).
- Identify AWS cost optimization tools.
- Identify different AWS security mechanisms.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Data Engineering on AWS - Foundations,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ab/b0451fdc8d41a1b430f89c3b078033/Screenshot-2024-08-08-at-5.48.09-PM.png,"[""en""]",[],data-engineering-on-aws-foundations,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],"[""VerifiedCert"", ""Specialization""]",zfwFaOQQEe-ccQr_xjRSew,v2.ondemand,"In this course, we focus on the DevOps practices of building, deploying, and managing applications enhanced with generative AI features. You’ll learn how to implement Continuous Integration and Continuous Deployment (CI/CD) pipelines, explore strategies for reliable automation, and improve monitoring and observability for your applications. The course emphasizes practical skills to streamline releases, reduce potential errors, and maintain high-quality, scalable systems in dynamic cloud environments.  

With dedicated modules for Automatic deployments, Infrastructure as Code, Monitoring, and Operations, you’ll improve your understanding and ability to execute as a Developer or DevOps Engineer. Get comfortable with AWS services by learning how to use Amazon CodeDeploy in a CI/CD pipeline and using the AWS Cloud Development Kit. You’ll then use AWS Services to help with observability and monitoring (Amazon CloudWatch Anomaly detection and AWS X-Ray insights) - both services with AI features to help with more effective monitoring and alarms. By the end of this course, you’ll have built a robust application that supports continuous releases, improves time to market for new features and fixes, and reduce potential for human error.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""35622718"", ""62060084"", ""37505720""]","[""Russell Sayers"", ""Rafael Lopes"", ""Morgan Willis""]",BEGINNER,DevOps and AI on AWS: CI/CD for Generative AI Applications,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c6/4772d4ffec4e02bd2c4d19804c183a/EDX_Thumbnails-02.png,"[""en""]","[""HSEJAlhXT0WZl_qjY842-g""]",cicd-generative-ai-apps,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],"[""VerifiedCert"", ""Specialization""]",6uSYtQGGEe-sPwr_7QHe7w,v2.ondemand,"In this course, you’ll model, transform, and serve data for both analytics and machine learning use cases. You’ll explore various data modeling techniques for batch analytics, including normalization, star schema, data vault, and one big table, and you’ll use dbt to transform a dataset based on a star schema and one big table. You’ll also compare the Inmon vs Kimball data modeling approaches for data warehouses. You’ll model and transform a tabular dataset for machine learning purposes. You’ll also model and transform unstructured image and textual data. You’ll explore distributed processing frameworks such as Hadoop MapReduce and Spark, and perform stream processing. You’ll identify different ways of serving data for analytics and machine learning, including using views and materialized views, and you’ll describe how a semantic layer built on top of your data model can support the business. In the last week of this course, you’ll complete a capstone project where you’ll build an end-to-end data pipeline that encompasses all of the stages of the data engineering lifecycle to serve data that provides business value.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""6941"", ""37505720""]","[""Joe Reis"", ""Morgan Willis""]",INTERMEDIATE,"Data Modeling, Transformation, and Serving","[""475"", ""338""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI"", ""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c1/4a5bd492854f1e8b572037899b9446/5.png,"[""en""]","[""1vz7HcRFRD6Z3n1eCgmMKw""]",data-modeling-transformation-serving,[],This is a 4-week course with an estimate of 4-6 hours of learning activities per week,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],"[""VerifiedCert"", ""Specialization""]",3gSileNMEe-ccQr_xjRSew,v2.ondemand,"Explore the intersection of DevOps and Generative AI on AWS in this hands-on course. Learn to enhance existing applications with powerful AI features using Amazon Bedrock's large language models (LLMs). You'll gain practical experience in implementing customized text generation, mastering prompt engineering, and applying advanced techniques like fine-tuning and Retrieval Augmented Generation (RAG).

We focus on essential DevOps practices, guiding you through the process of coding, building, and testing an application upgraded with generative AI capabilities. You'll learn to integrate these AI features seamlessly into your software development lifecycle, ensuring smooth deployment and maintenance.

The course also sharpens crucial developer skills. We highlight how to enable effective source control management, enabling efficient collaboration and version control in your projects. Additionally, you'll master unit testing to ensure the reliability of your applications.By the end of this course, you'll be equipped to modernize applications using generative AI, implement proven DevOps practices, and leverage AWS' AI services. Whether you're a developer expanding your AI expertise or a DevOps professional incorporating AI technologies, this course provides the tools to excel in the evolving landscape of software development and artificial intelligence.

Join us to transform your applications and development practices with the power of generative AI on AWS.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""35622718"", ""62060084"", ""37505720""]","[""Russell Sayers"", ""Rafael Lopes"", ""Morgan Willis""]",BEGINNER,DevOps and AI on AWS: Upgrading Apps with Generative AI,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1b/d6fd4a1c4044ee8f170b0a33ad4cc5/AI_Thumbnails_1.9_v2-05.png,"[""en""]","[""HSEJAlhXT0WZl_qjY842-g""]",upgrading-apps-generative-ai,[],2-4 hours per week,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],UiTrYdyLEe6J_wr_0biVVQ,v2.ondemand,"This course introduces you to AWS Elemental MediaConnect. You will learn how to use MediaConnect to ingest live video into the AWS Cloud, and then distribute it to multiple destinations inside or outside of the AWS Cloud.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""information-technology"", ""subdomainId"": ""networking""}]","[""143913599""]","[""AWS Instructor ""]",,Introduction to AWS Elemental MediaConnect - v.02.00.01,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/66/71f79712c847c7af3cfc86bfe1b695/Screenshot-2024-03-19-at-4.40.41-PM.png,"[""en""]",[],aws-introduction-to-aws-elemental-mediaconnect,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],"[""VerifiedCert"", ""Specialization""]",czWnruJJEe6PQQ5ZiTVI-w,v2.ondemand,"This course gives you a thorough introduction to the python programming language. You'll start by learning the definition of python, its history, semantics, and how it works. The first week concludes by writing a python script to solve a problem. In Week 2, you'll learn about Serverless Architectures and understand the differences between microservices, service-oriented and monolith architectures. You'll build a microservices architecture by learning how to use the following tools: AWS Lambda, Amazon API Gateway, and Cloud9. It's then time to go deep with AWS Databases. You'll see Amazon RDS and Amazon DynamoDB in action, visualizing the important role they play in developing applications in python. The course's final week will cover application integration services. Amazon's Simple Notification Service (SQS), Simple Queue Service (SQS), and EventBridge take center stage as important “glue” components for scalable, cloud-based applications. You'll close the course with a hands-on project, writing some code to use some hardcoded data to write to dynamodb and then convert that into a lambda function.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""35622718"", ""37505720""]","[""Russell Sayers"", ""Morgan Willis""]",BEGINNER,Python for Serverless Applications and Automation on AWS,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/58/550b6907f448b8b1255bd932be17a9/CTC-Prof-Cert-Courses_CSA6.png,"[""en""]","[""aEPB1K-GTKm1Yl7dX_sD5w""]",aws-python-serverless,[],2-4 hours per week,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],Ru6BKtyJEe6J_wr_0biVVQ,v2.ondemand,"Porting applications from .NET Framework to .NET can be a significant manual effort. The process includes spending valuable time identifying the dependencies and APIs that are incompatible with .NET, and estimating the level of effort involved to remediate. Porting Assistant for .NET is an analysis tool that helps you port your applications to Linux faster. Additionally, porting .NET Framework applications to .NET lets you take advantage of the performance, cost savings, and robust ecosystem of Linux. 

Porting Assistant for .NET quickly scans .NET Framework applications to identify incompatibilities with .NET, finds known replacements, and generates a detailed compatibility assessment. This reduces the manual effort involved in modernizing your applications to Linux.

As you progress through this course, you will relate the concepts that you are learning about to a real-world scenario use case. For illustration purposes, we will refer to the company in this use case as AnyCompany.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""143913599""]","[""AWS Instructor ""]",,Microsoft on AWS - Porting Assistant for .NET,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f0/b500b3ae68492597a7b7e1d8291c00/Logo.png,"[""en""]",[],aws-microsoft-on-aws-porting-assistant-for-net,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],"[""VerifiedCert"", ""Specialization""]",4BvqLQCqEe612QpSO89dGw,v2.ondemand,"Let’s get you working efficiently in a software development team and shorten the time it takes to get high quality applications to your customers. We start with the theory and benefits of building software with Continuous Integration and Continuous Delivery. Continuous Integration starts with source control. We get you working with AWS CodeCommit, a managed source control service that makes it easier for teams to collaborate on code and with Git repository you learn branching strategies and get hands-on committing bug fixes and writing unit tests. Your commits initiate an AWS CodePipeline pipeline where we can run automated tests for fast code quality feedback. We then use AWS CodeBuild to run tests and package code for deployment. Finally, we use AWS CodeDeploy to automate code deployment. Let’s use your coding skills to automate the process of getting quality code to production infrastructure.  

This course will provide a combination of video-based lectures, demonstrations and hands-on lab exercises to get you hands-on committing code that flows through a full Continuous Integration and Continuous Delivery pipeline.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""35622718"", ""41700785"", ""37505720""]","[""Russell Sayers"", ""Seph Robinson"", ""Morgan Willis""]",BEGINNER,Hands-on with AWS: Software Development Practices,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/af/9e0780154b48be9396cca4e6e917dd/Artboard-6.png,"[""en""]",[],aws-software-dev,[],2-4 hours per week,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],bltCVZkoEe6AFxJXMEb-hw,v2.ondemand,The Building a Generative AI Ready Organization course provides components needed for a successful organizational adoption of Generative AI. This course focuses on business leaders and other decision-makers currently or potentially involved in Generative AI projects.,"[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Building a Generative AI-Ready Organization,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/eb/92fc4884004279aab2b3d708f0957f/a7c6ede40689fe04bb72e221945f1a12.jpg,"[""en""]",[],building-generative-ai-ready-organization,[],1 hour,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],N5w0gk6HEe-SdxJ_Axw1wQ,v2.ondemand,"In this course, you will learn about responsible artificial intelligence (AI) practices. 

In the first section of this course, you will be introduced to what responsible AI is. You will learn how to define responsible AI, understand the challenges that responsible AI attempts to overcome, and explore the core dimensions of responsible AI.

Then in the next section of the course, you will dive into some topics for developing responsible AI systems. In this section of the course, you will learn about some of the services and tools that AWS offers to help you with responsible AI. You will also learn about responsible AI considerations for selecting a model and preparing data for your AI systems.

Finally, in the last section of the course, you learn what it means for a model to be transparent and explainable. You will also learn about tradeoffs to consider between safety and transparency for an AI model and the principles of human-centered design for explainable AI.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Responsible AI Practices,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2d/41e8a3f99c48efa8ee3ac72ab113e7/Screenshot-2024-07-29-at-4.25.23-PM.png,"[""en""]",[],responsible-artificial-intelligence-practices,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],4Q1OrdyJEe6V5xI34US_kw,v2.ondemand,"With AWS Migration Hub Refactor Spaces, you can fast-track the application refactoring of existing applications into distributed applications, typically based on microservices.

In this course, you will learn the benefits and technical concepts of Refactor Spaces. If you are new to the service, you will learn how to start with Refactor Spaces through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can help you focus on refactoring your applications. This means you can focus less on creating and managing the underlying infrastructure that makes refactoring possible.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Getting Started with Migration Hub Refactor Spaces,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/67/878fc0c1d84850998eb77ad8664045/Logo.png,"[""en""]",[],aws-getting-started-with-migration-hub-refactor-spaces,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],"[""VerifiedCert"", ""Specialization""]",9-xBQujJEe6FNA7nQoA3-Q,v2.ondemand,"This course's focus will be on practical aspects of preparing to work as a support agent in organizations with AWS environments. We will start with some review of previous topics covered in the series, with specific attention paid towards debugging and troubleshooting. We’ll then move into concepts around interacting with customers to obtain information and progress towards a solution. 
In the next module, you'll have the opportunity to view the architecture from various perspectives, such as builder, supporter, and interviewer. We will then shift into preparing you to apply for Cloud Support Associate positions. This will involve diving into resume and portfolio building, as well as the creation of an online presence. The second module will close out with a look at how you can evaluate opportunities and any gaps you may have in your knowledge. The third module of the course will have a focus on interviewing. This will involve preparing for interviews, discussions with professions from AWS Premium Support around the interviewing and hiring process, and looking at mock interviews and sample questions. The last module of the course will allow you to practice using the knowledge and various skills you’ve acquired over the course of the series with a multi-part project. In the project, you’ll build, analyze, and document an application architecture. You’ll also can view the architecture from various perspectives, such as builder, supporter, and interviewer.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""100030717"", ""92822012""]","[""Alex G."", ""Oksana Hoeckele""]",BEGINNER,Capstone: Preparing to work as a Cloud Support Associate,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f0/d5df8631024751b2b7eaae1cff8ff2/CTC-Prof-Cert-Courses_CSA7.png,"[""en""]","[""aEPB1K-GTKm1Yl7dX_sD5w""]",aws-capstone-cloud-support-associate,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],GMLIfdyKEe62jQ6HK-YxMQ,v2.ondemand,Compute services are the backbone that power most web-based applications. Amazon Elastic Compute Cloud (Amazon EC2) is the foundation that many other Amazon Web Services (AWS) offerings are built upon. This course provides you with the opportunity to explore the different families of EC2 instances and identify the target workloads for each of these families. You will learn about the different instance types and how to select the best instance types to maximize price and performance.,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Amazon EC2 Basics,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/07/a35fc24e6547a58101ac5f136fc08f/Screenshot-2024-03-14-at-2.17.13-PM.png,"[""en""]",[],aws-amazon-ec2-basics,[],1 hour,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],avTi99yMEe62jQ6HK-YxMQ,v2.ondemand,"This training provides an introduction to AWS Elemental Live, a video processing solution that efficiently formats live video for broadcast television and streaming to internet-connected devices.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""information-technology"", ""subdomainId"": ""networking""}]","[""143913599""]","[""AWS Instructor ""]",,AWS Elemental Live Foundations,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/09/982d70e1344715ba988a7bcf3a4fb7/Screenshot-2024-03-19-at-4.40.41-PM.png,"[""en""]",[],aws-elemental-live-foundations,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],"[""VerifiedCert"", ""Specialization""]",9k_e10RdEe2WggqTpXEoiw,v2.ondemand,"Are you looking to get more technical? Are you looking to begin working in the cloud, but don’t know where to go next? Are you looking to up your game by prepping for the AWS Solutions Architect Associate Exam? Do you see yourself as a cloud consultant, but can’t quite envision how your days would be? Are you puzzled how to match a customer’s requirements with the right AWS services/solutions? If so, you are in the right place!! You’ll learn how to plan, think, and act like a Solution Architect in a real-life customer scenario.

In this course, you’ll get prepared to begin your career architecting solutions on AWS. Through a series of use case scenarios and practical learning, you’ll learn to identify services and features to build resilient, secure, and highly available IT solutions in the AWS Cloud. Each week, a fictional customer will present a different need. We will then review the options, choose the best one for the use case and walk you through the architecture design on a whiteboard. You’ll learn about event-driven architectures with a focus on performance efficiency and cost. You’ll then gain knowledge on how to architect a solution using many purpose-built AWS services. With this understanding, you’ll get a sense of hybrid architectures with a refined focus on reliability and operational efficiency. Finally, you’ll wrap up your learning by understanding a multi-account strategy centered on security and cost.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""62060084"", ""37505720""]","[""Rafael Lopes"", ""Morgan Willis""]",INTERMEDIATE,Architecting Solutions on AWS,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fc/400f19fc1247c7aff13b88980b5730/Thumbnail_Image2.png,"[""en""]","[""BTjfIi_BEe2kcQqdZg17Fw"", ""child~Wnn71xf6S3qWZl195Rqukg""]",architecting-solutions-on-aws,[],5-7 hours/week,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],67RmOtyKEe6V5xI34US_kw,v2.ondemand,"This course introduces you to Amazon Quantum Ledger Database (Amazon QLDB), an AWS fully managed ledger database.



This course introduces you to the service and its core features and capabilities. You will see how this service integrates with other AWS services and be introduced to important terminology and technology concepts. The course includes a demonstration of Amazon QLDB and provides an assessment to help you gauge how well you understand the concepts covered.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""143913599""]","[""AWS Instructor ""]",,Amazon QLDB Primer,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c5/5a7a851afe4a6796553a6550e91ea0/Screenshot-2024-03-19-at-4.40.41-PM.png,"[""en""]",[],aws-amazon-quantum-ledger-database-qldb-service-primer,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],We897tyLEe62jQ6HK-YxMQ,v2.ondemand,"This course introduces you to Amazon DynamoDB, the AWS service that provides a non-relational, key-value/wide-column and document database that delivers single-digit millisecond performance at any scale. It's a fully managed database with built-in security, backup and restore, and in-memory caching for internet-scale applications.

This course introduces you to the service and its core features and capabilities. You will see how this service integrates with other AWS services and be introduced to important terminology and technology concepts. The course includes a demonstration of DynamoDB and provides an assessment to help you gauge how well you understood the concepts covered.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""143913599""]","[""AWS Instructor ""]",,Amazon DynamoDB Primer,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5a/10a76fbdfa4438ad9de42081d884dd/Screenshot-2024-03-19-at-4.40.41-PM.png,"[""en""]",[],aws-amazon-dynamodb-service-primer,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],rSNrl9HpEfCUKQr_3GN6mQ,v2.ondemand,"Tout au long de ce cours, vous examinerez la proposition de valeur de l'intégration d'Amazon Web Services (AWS) et de Salesforce. Vous vous concentrerez sur la manière dont cette intégration renforce l'agilité de l'entreprise, améliore l'expérience client et favorise l'excellence opérationnelle. Chaque leçon approfondit vos connaissances progressivement. Vous allez commencer par les concepts de base avant d'explorer les applications pratiques. En comprenant ces modèles d'intégration, vous serez mieux équipée pour évaluer les avantages de ce partenariat pour votre organisation. À la fin de ce cours, vous aurez une bonne compréhension du fonctionnement de l'intégration entre Salesforce et AWS, de la valeur commerciale qu'elle apporte et des types de problèmes qu'elle permet de résoudre. Ces connaissances vous aideront à identifier les opportunités de mise en œuvre de ces technologies dans votre propre organisation.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Salesforce on AWS: Basics to Business Innovation - Français,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/24/d3ba96d1b84e178d8d7144d3a3085a/a7c6ede40689fe04bb72e221945f1a12.jpg,"[""en""]",[],salesforce-on-aws-basics-to-business-innocation-francais,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],Sq4hQdyJEe6V5xI34US_kw,v2.ondemand,"In this course, you will learn the fundamental concepts of cloud computing and how a cloud strategy can help companies in the healthcare and life sciences (HCLS) industries meet business objectives. It explores how Amazon Web Services (AWS) brings the most advanced and secure cloud services, the deepest collaborative business solutions, and the fastest rate of innovation. With AWS, your organization can cloudify its business and create new efficiencies, differentiating and innovating at every stage of the journey.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Cloud Essentials for Business Leaders - Healthcare and Life Sciences v01.00.00,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/38/af4cbabe3a4335ada89f725ffbd084/Logo.png,"[""en""]",[],aws-cloud-essentials-for-business-leaders-healthcare-and-life-sciences,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],n_1JytHoEfCy_hIjunc-ow,v2.ondemand,"A lo largo de este curso, examinará la propuesta de valor de la integración de Amazon Web Services (AWS) y Salesforce. Se centrará en cómo esta integración permite la agilidad empresarial, mejora las experiencias del cliente e impulsa la excelencia operativa. Cada lección construye sus conocimientos progresivamente. Comenzará con conceptos básicos antes de explorar aplicaciones prácticas. Al comprender estos patrones de integración, estará mejor equipado para evaluar cómo esta asociación podría beneficiar a su organización. Al final de este curso, comprenderá claramente cómo funciona la integración de Salesforce y AWS, el valor comercial que ofrece y los tipos de problemas que resuelve. Este conocimiento le ayudará a identificar oportunidades para implementar estas tecnologías en su propia organización.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Salesforce on AWS - From Basics to Business Innovation-LATAM,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/24/d3ba96d1b84e178d8d7144d3a3085a/a7c6ede40689fe04bb72e221945f1a12.jpg,"[""en""]",[],salesforce-on-aws-from-basics-to-business-innovation-latam,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],KPuSd9yJEe6V5xI34US_kw,v2.ondemand,"Amazon EMR is a managed cluster solution that can make it more efficient to run big data frameworks, such as Apache Hadoop and Apache Spark, on Amazon Web Services (AWS) to process and analyze vast amounts of data.

In this course, you will learn the benefits and technical concepts of Amazon EMR. If you are new to the service, you will learn how to start using Amazon EMR through a demonstration using the AWS Management Console and AWS Command Line Interface (AWS CLI). You will learn about the native architecture and how the built-in features can help you process data for analytics purposes and business intelligence workloads.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Amazon EMR Getting Started,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/36/1606f747bd446f88f0f3ab63a26332/Logo.png,"[""en""]",[],aws-amazon-emr-getting-started,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],NR8ltpkkEe6AFxJXMEb-hw,v2.ondemand,"Amazon Bedrock is a fully managed service that makes foundation models (FMs) from Amazon and leading artificial intelligence (AI) startups available through an API. In this course, you will learn the benefits of Amazon Bedrock. You will learn how to start using the service through a demonstration in the Amazon Bedrock console. You will also learn about the AI concepts of Amazon Bedrock and how you can use the service to accelerate development of generative AI applications.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Amazon Bedrock - Getting Started with Generative AI,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/eb/92fc4884004279aab2b3d708f0957f/a7c6ede40689fe04bb72e221945f1a12.jpg,"[""en""]",[],amazon-bedrock-getting-started,[],1 hour,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],"[""VerifiedCert"", ""Specialization""]",XOJ3IP8IEe2-pgqew4M3vw,v2.ondemand,"In this course, we start with the basics of AWS Identity and Access Management to understand the different forms of authentication and security when integrating AWS services. We refactor an existing application using the AWS SDK to replace storage functionality with Amazon Simple Storage Service and Amazon DynamoDB. Next, we investigate using compute services Amazon EC2 and AWS Lambda to run our application code. In the final upgrade, we expose the application functionality as an API with Amazon API Gateway. Our experienced instructors take you on a deep dive on the workings and benefits of each service. This course will provide a combination of video-based lectures, demonstrations and hands-on lab exercises, taking you from concept to an API-based application hosted in AWS.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""35622718"", ""41700785"", ""37505720""]","[""Russell Sayers"", ""Seph Robinson"", ""Morgan Willis""]",BEGINNER,Integrating AWS with the SDK,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6e/96e1f1a9f34c66be1bc2e09908276f/Artboard-4.png,"[""en""]",[],integrate-aws-sdk,[],2-4 hours per week,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],"[""VerifiedCert"", ""Specialization""]",dQdSvWdUEeuI4Aqy1at7YQ,v2.ondemand,"Are you in a technical role and want to learn the fundamentals of AWS? Do you aspire to have a job or career as a cloud developer, architect, or in an operations role? If so, AWS Cloud Technical Essentials is an ideal way to start. This course was designed for those at the beginning of their cloud-learning journey - no prior knowledge of cloud computing or AWS products and services required!

Throughout the course, students will build highly available, scalable, and cost effective application step-by-step. Upon course completion, you will be able to make an informed decision about when and how to apply core AWS services for compute, storage, and database to different use cases. You’ll also learn about cloud security with a review of AWS' shared responsibility model and an introduction to AWS Identity and Access Management (IAM). And, you’ll know how AWS services can be used to monitor and optimize infrastructure in the cloud.

AWS Cloud Technical Essentials is a fundamental-level course and will build your competence, confidence, and credibility with practical cloud skills that help you innovate and advance your professional future. Enroll in AWS Cloud Technical Essentials and start learning the technical fundamentals of AWS today!

Note: This course was designed for learners with a technical background. If you are new to the cloud or come from a business background, we recommend completing AWS Cloud Practitioner Essentials (https://www.coursera.org/learn/aws-cloud-practitioner-essentials) before enrolling in this course.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""information-technology"", ""subdomainId"": ""networking""}]","[""41700785"", ""37505720""]","[""Seph Robinson"", ""Morgan Willis""]",BEGINNER,AWS Cloud Technical Essentials,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/59/2abd89f8b54ad1a1805b6cdc90c341/Artboard-2.png,"[""en""]","[""BTjfIi_BEe2kcQqdZg17Fw"", ""bS6KvjKVSz-dNHb8MRzXOA"", ""aEPB1K-GTKm1Yl7dX_sD5w"", ""child~Wnn71xf6S3qWZl195Rqukg""]",aws-cloud-technical-essentials,[],"4 weeks of study, 3-4 hours per week",c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],-mP4n9yJEe62jQ6HK-YxMQ,v2.ondemand,"This self-paced digital course explores the various databases that Amazon Web Services (AWS) offers and helps you understand how each of them solve unique business problems. It introduces you to AWS recommended best practices when designing solutions with AWS databases, and common tools for data migration. This course is designed to help you learn the fundamentals of choosing the right database to support your use case.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Introduction to Building with AWS Databases V01.01.00,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/24/d3ba96d1b84e178d8d7144d3a3085a/a7c6ede40689fe04bb72e221945f1a12.jpg,"[""en""]",[],aws-introduction-to-building-with-aws-databases,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],RNkZRtyKEe6V5xI34US_kw,v2.ondemand,"This course provides an overview of statistical multiplexing workflows in cable and satellite broadcast. In this training, you will learn how to configure, operate, and monitor statmux workflows using AWS Elemental Conductor, AWS Elemental Live, and AWS Elemental Statmux appliances.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""information-technology"", ""subdomainId"": ""networking""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,AWS Elemental Statmux,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/39/8c783797b445b5b6410de62c4c1e35/Screenshot-2024-03-14-at-2.17.13-PM.png,"[""en""]",[],aws-elemental-statmux,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],FKeOQ7RKEfC9DA7IUsuzoQ,v2.ondemand,"This course delves into the intersection of generative AI security and application development, with a specific focus on prompt injection and Amazon Bedrock guardrails. Designed for practical implementation, this course equips participants with the knowledge and skills needed to build safeguarded GenAI applications while protecting against common security vulnerabilities such as prompt injection attacks. Through hands-on demonstrations, technical deep-dives, tech talks, and expert insights, participants will learn how to use Amazon Bedrock guardrails and implement security measures in their GenAI applications. The course culminates with a special tech talk featuring industry experts discussing cutting-edge security practices in the GenAI landscape.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Increasing Application Security: Bedrock Guardrails & GenAI,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/09/1c4d663be448e58b1f295463733747/AWS.png,"[""en""]",[],increasing-application-security-bedrock-guardrails--genai,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],2elttdyMEe62jQ6HK-YxMQ,v2.ondemand,"In this course, you will learn the benefits and technical concepts of Amazon CloudWatch. If you are new to the service, you will learn how to start with CloudWatch through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can help you simplify monitoring resources and applications in the AWS, on premises, hybrid, or on other clouds.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""information-technology"", ""subdomainId"": ""networking""}]","[""143913599""]","[""AWS Instructor ""]",,Amazon CloudWatch Getting Started,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2e/adda1a45ca479e88a0afe34aa8909c/Screenshot-2024-03-19-at-4.40.41-PM.png,"[""en""]",[],aws-amazon-cloudwatch-getting-started,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],ZbDNsNyJEe62jQ6HK-YxMQ,v2.ondemand,"Amazon Web Services (AWS) storage provides you with the services you need to build the storage solution that’s right for your organization. Hybrid storage services span location both on premises and in the cloud. You will discover the depth and breadth of hybrid storage service options available for you to choose from to meet your organization’s requirements. 

The AWS hybrid storage services include Amazon Simple Storage Service (Amazon S3) and Amazon Elastic Block Store (Amazon EBS) on AWS Outposts. They also include AWS Storage Gateway and Amazon File Cache storage offerings. You can select from these different service offerings and apply them to your organization’s needs. You can then determine the possible paths to take to arrive at the best storage solution. Before choosing an AWS storage solution, AWS recommends that you first assess what storage characteristics are appropriate for your applications and business. 

After familiarizing yourself with AWS storage, you can then compare your requirements to the available storage services and select the solution that meets your needs. This course introduces customers to the benefits, features, use cases, and considerations for AWS hybrid storage services. By the end of the course, learners will be able to discuss the features and use cases for the available AWS hybrid storage services.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,AWS Hybrid Storage Services Getting Started,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b1/2d5cca82334df3af4194c879f4c516/Logo.png,"[""en""]",[],aws-hybrid-storage-services-getting-started,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],2U4gB9yJEe62jQ6HK-YxMQ,v2.ondemand,"With Amazon Elastic Container Registry (Amazon ECR), you can store, share, and deploy your container software anywhere. Amazon ECR is a fully managed container registry offering high-performance hosting that helps you reliably deploy application images and artifacts anywhere.  

In this course, you will learn the benefits and technical concepts of Amazon ECR. If you are new to the service, you will learn how to start with Amazon ECR through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can streamline managing, storing, and deploying container images in the Amazon ECR registry.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Getting Started with Amazon ECR,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1a/03f94309054b7c9295cba6330bfe2a/Logo.png,"[""en""]",[],aws-getting-started-with-amazon-ecr,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],BImWT9yJEe6J_wr_0biVVQ,v2.ondemand,"With AWS X-Ray, you can gain insights into the data requests that your application serves to identify issues and opportunities for optimization. X-Ray provides tools that you can use to view, filter, and analyze the collected data.

In this course, you will learn the benefits and technical concepts of X-Ray. If you are new to the service, you will learn how to start using X-Ray through a demonstration using the AWS Management Console. You will learn about the X-Ray architecture and instrumentation options. Interactive demonstrations show you how the built-in features can help you gain a complete view of application requests as they travel through your application.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""information-technology"", ""subdomainId"": ""networking""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,AWS X-Ray Getting Started,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/87/c79e6915374d529ad9665c674a74d5/Logo.png,"[""en""]",[],aws-aws-x-ray-getting-started,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],FM2eBlWsEe-Hewr_7yl6ww,v2.ondemand,"With Amazon Connect Contact Lens, organizations analyze customer conversations, evaluate agent performance, and continuously improve customer experience.

In this course, you will recognize the benefits, typical use cases, and core concepts of Contact Lens. You will explore implementation scenarios and identify the key considerations to uncover trends, sentiment, and conversation characteristics from contact interactions. You will learn how post-contact summaries are used to replace manual notetaking so supervisors can review interactions efficiently.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""143913599""]","[""AWS Instructor ""]",,Amazon Connect Contact Lens Fundamentals,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f0/7810df6f774fe0a7678d555dbc7a4d/Screenshot-2024-08-08-at-5.48.09-PM.png,"[""en""]",[],amazon-connect-contact-lens-fundamentals,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],cOV_n9yKEe6J_wr_0biVVQ,v2.ondemand,"Migration Evaluator algorithmically determines the best-fit and lowest-cost placement for each workload. This results in the delivery of optimized, cost-modelling scenarios for your workloads on AWS. 

In this course, you will learn the benefits and technical concepts of Migration Evaluator. If you are new to the service, you will learn how to start using Migration Evaluator through a demonstration using the AWS Management Console. Additionally, you will learn about the architecture and how the built-in features can help simplify on-premises analysis of compute, local storage, and memory.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,AWS Migration Evaluator Getting Started,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c2/e97b9dce2f4631b03e1184a3643249/Screenshot-2024-03-14-at-2.17.13-PM.png,"[""en""]",[],aws-migration-evaluator-getting-started,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],"[""VerifiedCert"", ""Specialization""]",J_kELTwlEeyScxKfWjmBww,v2.ondemand,"This new intermediate-level course from Amazon Web Services (AWS) is designed to help you to assess your preparedness for the AWS Certified Solutions Architect - Associate exam. You will learn how to prepare for the exam by exploring the exam’s topic areas and how they map to architecting on AWS. You will review sample certification questions in each domain, practice skills with hands-on exercises, test your knowledge with practice question sets, and learn strategies for identifying incorrect responses by interpreting the concepts that are being tested in the exam. At the end of this course you will have all the knowledge and tools to help you identity your strengths and weaknesses in each certification domain areas that are being tested on the certification exam. 

The AWS Certified Solutions Architect – Associate exam is intended for individuals who perform in a solutions architect role. The exam validates a candidate’s ability to design secure and robust solutions by using AWS technologies. The exam also validates a candidate’s ability to complete the following tasks: Design a solution by using appropriate AWS services and by following architectural principles based on requirements. Provide implementation guidance based on best practices to the organization throughout the workload lifecycle.

This course covers material specific to the SAA-C03 version of the AWS Certified Solutions Architect - Associate exam. 

In the new version of the exam, many of the domains and task statements were reordered or renumbered; however, most of the content is the same.

Only one task statement for the new version of the exam is NOT included in this course:
Domain 3: Design High-Performing Architectures, Task Statement 5: Determine high-performing data ingestion and transformation solutions.

At the end of the course materials, you will find a new section (“SAA-C03 Updates”) that contains additional information about differences between the exam versions:
SAA-C02 versus SAA-C03
SAA-C03 New Material","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""127046050"", ""37505720""]","[""Julie Elkins"", ""Morgan Willis""]",INTERMEDIATE,Exam Prep: AWS Certified Solutions Architect - Associate,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/31/a21e663b7f44e5ba6b5edd13b39b12/Artboard-2-copy-2.png,"[""en""]","[""BTjfIi_BEe2kcQqdZg17Fw""]",aws-certified-solutions-architect-associate,[],"4 weeks, 2-3 hours/week",c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],mPeiENyJEe62jQ6HK-YxMQ,v2.ondemand,"AWS IoT Core provides secure, bidirectional communication between internet-connected devices, such as sensors, actuators, embedded microcontrollers, or smart appliances and the AWS Cloud. 

In this course, you will learn how to securely connect a device to the cloud using AWS IoT Core and ensure that an AWS IoT policy is properly set up to allow the sensor to publish messages on a specified topic.

As you progress through this course, you relate the concepts that you are learning about to a real-world use case of a food services company trucking ice cream products to stores.

This course assumes you have completed the course Getting Started with AWS IoT or have equivalent knowledge of the AWS Internet of Things (IoT) concepts covered.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""information-technology"", ""subdomainId"": ""networking""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Securely Connecting AWS IoT Devices to the Cloud V01.00.00,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/55/04cbcd6fff43bd9fc3a10403dca69e/Logo.png,"[""en""]",[],aws-securely-connecting-aws-iot-devices-to-the-cloud,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],N8YKb9yJEe62jQ6HK-YxMQ,v2.ondemand,"With AWS Organizations, you can consolidate and centrally manage AWS accounts into an organization.

In this course, you will learn the benefits and technical concepts of Organizations. If you are new to the service, you will learn how to start with Organizations through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can help you manage multiple accounts under a single organization.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,AWS Organizations Getting Started,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/61/fc506ca6a64f8f9f9c3cb255b9bd38/Logo.png,"[""en""]",[],aws-organizations-getting-started,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],"[""VerifiedCert"", ""Specialization""]",gRUEQ0kLEe68aRLfH8OQLw,v2.ondemand,"Technology is omnipresent, but how did we get here? And what does the future hold for a world that's increasingly connected, mobile and data-rich? This course is intended to give learners enough technical context to understand how to build solutions in the cloud starting from zero technical knowledge. Before diving into the cloud, we will cover the basics of: how do computers work (including software and operating systems), an introduction to information technology, the basics of modern IT infrastructure, and the cloud careers that will be increasingly in-demand. We will then move into the world of internet connected networks (the Internet), covering local hosts, web servers, web applications, web security, the inner workings of a website and the differences between static and dynamic content. We'll close the course by introducing Cloud Computing, its role in our world, the differences between public, private and hybrid, and why APIs are so important.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""62060084"", ""37505720""]","[""Rafael Lopes"", ""Morgan Willis""]",BEGINNER,Introduction to Information Technology and AWS Cloud,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/97/286e9ab03347b2a1d7262c877e28b1/CTC-Prof-Cert-Course-Image-800x800CourseraCourse-1.png,"[""en""]","[""aEPB1K-GTKm1Yl7dX_sD5w"", ""bS6KvjKVSz-dNHb8MRzXOA""]",information-technology-and-aws,[],2-4 hours per week,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],ch0xrNyJEe6V5xI34US_kw,v2.ondemand,"In this course, you review how a fictitious company migrated their SAP workloads to the AWS Cloud to improve performance, reduce costs, and facilitate digital transformation. Throughout the course, you learn about the SAP to Amazon Web Services (AWS) migration process, relevant AWS services, and available migration tools.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""143913599""]","[""AWS Instructor ""]",,Migrating SAP Workloads to AWS,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ff/261a27e8a346659ce23aec1cf5bf88/Logo.png,"[""en""]",[],aws-migrating-sap-workloads-to-aws,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],PzNwUNyJEe62jQ6HK-YxMQ,v2.ondemand,"Cloud unit economics helps you measure the success of your business using key performance indicators (KPIs). This course is part of the Amazon Web Services (AWS) Financial Operations (FinOps) series. You will learn about cloud business KPIs and why they are important for your organization. Then, you will learn how to calculate unit metrics for your business using the cloud unit economics, or Q Tool.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""143913599""]","[""AWS Instructor ""]",,AWS FinOps - Creating Cloud Business KPIs (Unit Economics),"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/65/c758625d9240d080d35980a76e6cac/Logo.png,"[""en""]",[],aws-aws-finops-creating-cloud-business-kpis-unit-economics,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],3VQ-QdyJEe6V5xI34US_kw,v2.ondemand,"With Amazon EKS Anywhere, you can create and operate on-premises Kubernetes clusters with support from AWS.

In this course, you will learn the benefits and technical concepts of Amazon EKS Anywhere. If you are new to the service, you will learn how to start using Amazon EKS Anywhere through a demonstration using the AWS Command Line Interface (AWS CLI). You will learn about the native architecture and how the built-in features can help you simplify on-premises Kubernetes management.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""143913599""]","[""AWS Instructor ""]",,Getting Started with Amazon EKS Anywhere,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/da/78f3839adc4e26baca42718dbd1549/Logo.png,"[""en""]",[],aws-getting-started-with-amazon-eks-anywhere,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],UoyYV9yJEe62jQ6HK-YxMQ,v2.ondemand,"With Amazon Transcribe, you can produce transcriptions of recorded or live audio sources, including video.

In this course, you will learn the benefits and technical concepts of Amazon Transcribe. If you are new to the service, you will learn how to start with Amazon Transcribe through demonstrations using the AWS Management Console. You will learn about the native architecture and how the built-in features can help you with transcribing a variety of audio sources.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Amazon Transcribe Getting Started,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/50/8b896c65f5431b9f291e525a6e1490/Logo.png,"[""en""]",[],aws-amazon-transcribe-getting-started,[],2 hours,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],INwL_1WTEe-IcxJNXaNf3w,v2.ondemand,"This course is designed to help IT business and technical professionals understand effective strategies for migrating from VMware to the Amazon Web Services (AWS) cloud. Whether you are managing workloads, network, infrastructure, designing a cloud architecture, or just trying to get awareness on migration strategies, this course will guide you through the entire migration process, from initial assessment to post-migration optimization.","[{""domainId"": ""information-technology"", ""subdomainId"": ""networking""}, {""subdomainId"": ""security"", ""domainId"": ""information-technology""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Migrating VMware Workloads to AWS,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b5/555aa0d192425ea479f277b4060377/Screenshot-2024-08-08-at-5.48.09-PM.png,"[""en""]",[],aws-flash-migrating-vmware-workloads-to-aws,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],aabKzdyKEe6V5xI34US_kw,v2.ondemand,"In this course, you will learn how to improve the quality of your code and strengthen your current DevOps practices by using Amazon CodeGuru Reviewer. You will also learn how to integrate CodeGuru Reviewer into development workflows to enhance code reviews with automated feedback. Finally, you will learn how to associate existing code repositories on GitHub and AWS CodeCommit with Amazon CodeGuru.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Improve Code Quality with Amazon CodeGuru Reviewer,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fd/b4135677024c18a16e9f3052bde9de/Screenshot-2024-03-14-at-2.17.13-PM.png,"[""en""]",[],aws-improve-code-quality-with-amazon-codeguru-reviewer,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],5Pcz1tyJEe62jQ6HK-YxMQ,v2.ondemand,"Amazon Neptune is a fully managed service you can use to operate graph databases without worrying about hardware provisioning, software patching, setup, configuration, or backups.

In this course, you will learn the benefits and technical concepts of Neptune. If you are new to the service, you will learn how to start using Neptune through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can help you simplify any application that uses connections among data.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,Getting Started with Amazon Neptune,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fe/257633e3c04dafada0a33af013dc85/Logo.png,"[""en""]",[],aws-getting-started-with-amazon-neptune,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],DbSyC9Q7EfC0DRIFHjAuTw,v2.ondemand,"This course offers a streamlined introduction to artificial intelligence on AWS, guiding learners from core concepts to real-world applications, while also helping learners understand the core concepts of generative AI and prepare for the AWS Certified AI Practitioner exam. In this course, learners will explore generative AI and foundation models, including how they work, common use cases, and how Amazon Bedrock enables scalable AI solutions.

The course also highlights practical ways to apply foundation models for tasks like text generation, search, summarization, and vision, along with tools that simplify deployment and customization. To complete the learning journey, participants review essential principles for building secure and responsible AI systems, including fairness, privacy, governance, and compliance, supported by AWS best practices and frameworks.

By the end, learners will understand AI fundamentals, how to use generative AI on AWS, and how to build safe, effective AI applications","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""143913599""]","[""AWS Instructor ""]",BEGINNER,AWS AI Practitioner Power Hour,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/24/d3ba96d1b84e178d8d7144d3a3085a/a7c6ede40689fe04bb72e221945f1a12.jpg,"[""en""]",[],aws-ai-practitioner-power-hour,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],LM86V9yKEe6V5xI34US_kw,v2.ondemand,"Amazon Connect is a cloud contact center that helps you offer superior customer service. Because it is designed from the ground up to be omnichannel, Amazon Connect provides a seamless experience across voice, chat, and tasks for your customers and contact center agents. Amazon Connect includes tools for skills-based routing, powerful real-time and historical analytics, and intuitive management tools. With pay-as-you-go pricing, Amazon Connect can lower costs while improving contact center operations and agent efficiency.

This course guides you through how to set up an Amazon Connect contact center that can scale to support millions of customers.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""143913599""]","[""AWS Instructor ""]",,Amazon Connect: Creating & Managing Amazon Connect Instances,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ec/3d76669df14f43ae21aae9dcb82f46/Screenshot-2024-03-14-at-2.17.13-PM.png,"[""en""]",[],aws-amazon-connect-creating-and-managing-amazon-connect-instances,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],"[""VerifiedCert"", ""Specialization""]",fIhC10rrEfC_uBJiENVY7Q,v2.ondemand,"e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.Step up your generative AI skills with this course focused on building generative AI applications using Amazon Bedrock. Building on the fundamentals, you'll dive deep into advanced features and services that enable more complex solutions.

The course begins with a deep dive of Amazon Bedrock Knowledge Bases, teaching you how to enhance AI responses using Retrieval-Augmented Generation (RAG). You'll learn to create and manage knowledge bases, integrating them into your applications to provide context-aware, domain-specific AI interactions.

Next, you'll learn Amazon Bedrock Prompt Management and Flows, enabling you to design intricate workflows that chain multiple AI operations. This section empowers you to create more sophisticated generative AI behaviors in your applications.The latter part of the course focuses on generative AI-driven agents for task automation. You'll learn to configure and deploy Bedrock Agents, integrating them with various AWS services to create smart, autonomous systems. You'll also explore the Converse API, enabling more natural, context-aware conversations in your AI applications.

Throughout the course, hands-on labs and real-world scenarios will help you apply these concepts. By the course's end, you'll be designing and implementing advanced generative AI applications with Amazon Bedrock.

Please note: The hands-on exercises are optional and require access to your own AWS account. Completing these activities may result in minimal usage charges.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""35622718"", ""100030717"", ""37505720""]","[""Russell Sayers"", ""Alex G."", ""Morgan Willis""]",BEGINNER,Generative AI Applications with Amazon Bedrock,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3a/92a9b7afde4796801797e02c67cc38/Ai-for-Devs-2-800x800.jpg,"[""en""]","[""y9ygXC-gSwS2wdrCGVzF_g""]",generative-ai-applications-amazon-bedrock,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],[],abOACU23Ee-eawr_8Oio8w,v2.ondemand,The Building a Machine Learning Ready Organization course provides components needed for a successful organizational adoption of machine learning (ML). This course focuses on business leaders and other decision-makers currently or potentially involved in ML projects.,"[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""143913599""]","[""AWS Instructor ""]",,Building a Machine Learning Ready Organization,"[""338""]",http://coursera-university-assets.s3.amazonaws.com/a7/00aba8e49f4da9b2e6ed2c6fd827fc/Amazon_Web_Services-Logo.wine.png,"[""Amazon Web Services""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/87/6f79959262489b8145cdbdd8608469/Screenshot-2024-07-29-at-4.25.23-PM.png,"[""en""]",[],building-a-machine-learning-ready-organization,[],,c5scd7unJRHKmk0id,xsYhqRGTSAggHnTJC
[],"[""VerifiedCert""]",69Bku0KoEeWZtA4u62x6lQ,v2.ondemand,"Gamification is the application of game elements and digital game design techniques to non-game problems, such as business and social impact challenges. This course will teach you the mechanisms of gamification, why it has such tremendous potential, and how to use it effectively. For additional information on the concepts described in the course, you can purchase Professor Werbach's book For the Win: How Game Thinking Can Revolutionize Your Business in print or ebook format in several languages.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""226710""]","[""Kevin Werbach""]",,Gamification,"[""6""]",https://s3.amazonaws.com/coursera_assets/xdp/overridePartnerLogos/wharton-online-logo-1.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera.s3.amazonaws.com/topics/gamification/large-icon.png,"[""en""]",[],gamification,[],4-8 hours/week,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert""]",5zjIsJq-EeW_wArffOXkOw,v2.ondemand,"The vital signs – heart rate, blood pressure, body temperature, respiration rate, and pain – communicate important information about the physiological status of the human body. In this six-part course we explore the anatomy and physiology underlying the vital signs so that you will develop a systematic, integrated understanding of how the body functions. Relevant body systems are reviewed including cardiovascular and respiratory, followed by explanations of how the function of these systems affects vital signs. We discuss normal ranges, normal variants, and the mechanisms that underlie changes in the objective measurement of vital signs. The course also includes demonstrations of appropriate techniques for measuring vital signs in yourself and others.

The course is designed for a broad, general audience but will be particularly interesting for individuals working in healthcare, those considering a career as a healthcare professional, lay caregivers, those with an interest in personal health and fitness, or anyone who simply wants to understand how the body functions.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""3515023""]","[""Connie B. Scanga, PhD""]",,Vital Signs: Understanding What the Body Is Telling Us,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/55/8d2e309e6811e3bf47177a6a987fca/Vital-Signs-1.png,"[""en""]",[],vital-signs,[],3-5 hours/week,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",rc5KG0aUEeWG1w6arGoEIQ,v2.ondemand,"Accounting Analytics explores how financial statement data and non-financial metrics can be linked to financial performance.  In this course, taught by Wharton’s acclaimed accounting professors, you’ll learn how data is used to assess what drives financial performance and to forecast future financial scenarios. While many accounting and financial organizations deliver data, accounting analytics deploys that data to deliver insight, and this course will explore the many areas in which accounting data provides insight into other business areas including consumer behavior predictions, corporate strategy, risk management, optimization, and more. By the end of this course, you’ll understand how financial data and non-financial data interact to forecast events, optimize operations, and determine strategy. This course has been designed to help you make better business decisions about the emerging roles of accounting analytics, so that you can apply what you’ve learned to make your own business decisions and create strategy using financial data. ","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""1937011"", ""14757138""]","[""Brian J Bushee"", ""Christopher D. Ittner""]",,Accounting Analytics,"[""6""]",https://s3.amazonaws.com/coursera_assets/xdp/overridePartnerLogos/wharton-online-logo-1.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/82/f043f04cd411e5aad6dd6dd2e8b945/coursera_accounting_analytics_8x8.png,"[""en""]","[""utjeMEgmEeWJSQ6Y2aPmQQ""]",accounting-analytics,[],"4 weeks, 3 -5 hours per week",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",75TPppoQEeaeaRLE7qfOBA,v2.ondemand,"You are encouraged to take the first four courses of the Foundations of Positive Psychology Specialization before starting this course and completing the Specialization Project. This course, taught by Dr. Martin E.P. Seligman brings all the key concepts from the first four courses to practice as you develop and test a new positive intervention for an audience of your choice. You identify opportunities in your daily life to increase the wellbeing by using knowledge you developed in the first four courses of the Specialization. In this final project, you evaluate the efficacy of a positive intervention based on subjective and objective measures. Then, you compare how empirical and non-empirically-based positive interventions can be applied to influence a person's wellbeing. Lastly, you reflect on how the fundamental elements of research methods are important in the everyday application of positive psychology.

After completing all five courses, learners earn a certificate signed by Dr. Martin E.P. Seligman, Dr. James Pawelski, Dr. Angela Duckworth, Dr. Claire Robertson-Kraft and Dr. Karen Reivich.","[{""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""21550535""]","[""Martin E.P. Seligman, Ph.D.""]",,Positive Psychology Specialization Project: Design Your Life for Well-being,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/07/b68a40c20411e68f50e962790277d4/PositivePsychology_MOOC_Icons_Course5.jpg,"[""en""]","[""4Nm6G3qgEeaz6w5WDnMvFQ""]",positive-psychology-project,[],"4 weeks of study, 2-5 hours per week.",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",-FpKiRmcEem6cA6kboa4Lg,v2.ondemand,"Copyright law is unique in the greater intellectual property regime, as it protects original expression that is fixed in a tangible medium and is the product of authorship.  This course is designed for creative professionals — such as screenwriters, musicians, documentary filmmakers or artists — who want to understand the scope and limits of which works can enjoy U.S. copyright protection. The course will introduce students to the workings of copyright law through an examination of the system’s basic principles, rules, and institutions. Topics will include; the justifications for copyright law, copyrightable subject matter, authorship, the nature and scope of copyright’s exclusive rights, fair use, and remedies for infringement. 

We will also explore real-world examples of legal battles surrounding copyright law, from the recent litigation over Robin Thicke’s hit song “Blurred Lines” to more peculiar cases such as the infamous “monkey selfie” case. By understanding what copyright does and does not protect, producers of creative expression will be able to protect and maximize the commercial value of their works.","[{""subdomainId"": ""law"", ""domainId"": ""social-sciences""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""8956964""]","[""Shyam Balganesh""]",,Copyright Law,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/22/546e70618340f6a2689e3f83b4f42a/Copyright-v3-01.png,"[""en""]","[""VySIY6ofEeiGvwpvb2VtxA""]",copyright-law,[],"4 weeks, 3-4 hours/week",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",k1EoDdm3EeWpMxLJs6PspQ,v2.capstone,"El Proyecto Final de Conocimiento Aplicado de Wharton te permite aplicar tus habilidades analíticas a retos de negocios reales, incluyendo el tuyo. Usarás esas habilidades empresariales recientemente adquiridas, para evaluar de manera reflexiva una oportunidad o situación real de compañías dirigidas por Wharton como Televisa.También podrás preparar un análisis estratégico y plantear una solución a un reto al que se enfrente tu propia compañía u organización. Personal cualificado de Wharton evaluará los mejores trabajos, y equipos de dirección de Televisa revisarán los proyectos que obtengan mejor puntuación.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""1349478""]","[""Christian Terwiesch""]",,Proyecto de Fundamentos Empresariales de Wharton,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b3/8442d0da7011e5aa3f239013f9115f/capstone_foundation2.png,"[""es""]","[""5cRd_NmpEeWkogoQ284TMQ""]",wharton-proyecto-final-empresariales,[],,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert""]",HxW1_n3iEeyRTg6FtAvfBw,v2.ondemand,"This course begins by exploring short term entry and long term entry into the United States. We will cover the various means of short term entry and long term entry, as well as the general application processes. We will also examine exclusion and deportation in the United States. In particular, we will discuss how and why individuals may not be admitted into the United States and possible reasons for deportation or removal. Lastly, we will cover the process of how to become a United States citizen and the various requirements for naturalization.","[{""subdomainId"": ""law"", ""domainId"": ""social-sciences""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""101199546""]","[""Fernando Chang-Muy""]",INTERMEDIATE,Nuts and Bolts of U.S. Immigration Law,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cd/c767d59c924a0a87958cf254c85b68/Immigration_Logo_3.1-01_final.png,"[""en""]",[],us-immigration-law,[],"4 weeks, 3-4 hours/week",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",oEqrMXqhEear9RKoJLO5Cw,v2.ondemand,"Learners discover how apply to research methods to their study of Positive Psychology. In this course, we study with Dr. Angela Duckworth and Dr. Claire Robertson-Kraft. Through an exploration their work ""True Grit"" and interviews with researchers and practitioners, you develop a research hypothesis and learn how to understand the difference between internal and external validity. You also begin to understand and apply the strengths and weaknesses associated with different types of measurements and evaluation designs. You then interpret the results in an empirical study. Suggested prerequisites: Positive Psychology: Martin E. P. Seligman’s Visionary Science and Positive Psychology: Applications and Interventions.","[{""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""22264801"", ""22265022""]","[""Claire Robertson-Kraft, Ph.D."", ""Angela Duckworth, Ph.D.""]",BEGINNER,"Positive Psychology: Character, Grit and Research Methods","[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d9/afb400c20311e6b6c7572d01deb319/PositivePsychology_MOOC_Icons_Course3.jpg,"[""en""]","[""4Nm6G3qgEeaz6w5WDnMvFQ""]",positive-psychology-methods,[],"Four weeks of study, 5-7 hours a week.",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",d0Liq6RGEeuDgAowKXa1Bw,v2.ondemand,"Covid-19 has accelerated radical changes that will revolutionize retailing in every way. Shoppers' expectations are being ratcheted up, making winning (and keeping) those consumers all the more challenging. In this course, Professor Barbara Kahn will explain what it means to switch from a product-focused approach to a customer-focused approach and create marketing strategy to deliver real customer value. Learning from companies that have been most successful during this wave of change, this course will offer insights as to what we can learn from their ascendance. Building on these insights, Professor Kahn will present the ""Kahn Retailing Success Matrix"" which provides a framework that any company can use to create a competitive strategy to survive and thrive in today's – and tomorrow's – disruptive environment. By the end of this course, you will be able to identify the changing expectations with regard to creating superior customer experiences and valued-based branding.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""3749002""]","[""Barbara E. Kahn""]",BEGINNER,Retail Marketing Strategy,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/33/376ce9b7da4421a18f8719440f9cf3/omniChannelRetail_marketing_coursera-1-.png,"[""en""]","[""KUeTF8VkEeumMBLHmUEnqw""]",wharton-retail-marketing-strategy,[],2-3 hours per week,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",Kdf551i6Eeaw3QoEHqdPHw,v2.ondemand,"Teams are essential to the modern organization, but most never reach their potential. Co-workers miscommunicate, and groups struggle to adapt to changes in the market or their organizations. When teams lack self-awareness about these challenges, performance suffers. Based on years of team culture research and consulting experience, this course helps you understand the problems that hurt productivity, and gives you tools for creating positive change. This course also guides you through creating the ground rules and structure needed to set your team up for success. 

You gain the skills to diagnose issues such as conflicts, groupthink and lack of commitment in your team before they get out of control. The course offers frameworks to adjust team behaviors and get the best performance out of your people. You also understand frequent stumbling blocks for common team types, such as startups and virtual teams, and learn solutions tailored to each one.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""8147732"", ""11465210""]","[""Derek Newberry, Ph.D."", ""Dr. Aviva Legatt""]",BEGINNER,Building High-Performing Teams,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9b/e7b3106fac11e6b2ca3731316e0856/MOOC_CourseLogos_Course3.jpg,"[""en""]","[""RPJeWVi4EeaGJBJETQZ8Bw""]",high-performing-teams,[],"4 weeks of study, 2-4 hours/week",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],[],FXS00V1oEeWK1woL5P9cGQ,v2.ondemand,"Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences. Distinguishing features of the course include: 1) the introduction and use of Taylor series and approximations from the beginning; 2) a novel synthesis of discrete and continuous forms of Calculus; 3) an emphasis on the conceptual over the computational; and 4) a clear, dynamic, unified approach.

In this fourth part--part four of five--we cover computing areas and volumes, other geometric applications, physical applications, and averages and mass.  We also introduce probability.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""227062""]","[""Robert Ghrist""]",,Calculus: Single Variable Part 4 - Applications,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f6/5d96f0977311e5ad0793158b451d11/CSV-logo-chapter-4-copy.jpg,"[""en""]",[],applications-calculus,[],6-8 hours/week,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",d1d6BnmpEe-cBRK_mZB3Bw,v2.ondemand,"Data visualization is a crucial aspect of data analysis and decision-making in today's data-driven world. In this course, you will delve into the fascinating realm of data visualization and harness the power of Tableau, a leading data visualization tool. You'll learn how to transform raw data into insightful visuals that convey complex information effectively. This course will empower you to create compelling visualizations that aid in decision-making, storytelling, and conveying insights to both technical and non-technical stakeholders. Data analysis is only as impactful as your ability to communicate the findings to others. This course will equip you with the skills and techniques necessary to craft compelling data stories and deliver persuasive presentations that resonate with diverse audiences.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""14993672""]","[""Brandon Krakowsky""]",BEGINNER,Data Viz Using Tableau & Presenting With Storytelling,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8b/283719c24e46a6991ac098b4b5c526/1200-x-1200_HTUD-Mooc3.png,"[""en""]","[""vTinyuu9RDeS6glWSD8Gcg""]",data-viz-using-tableau-presenting-with-storytelling,[],3 weeks of study,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert""]",FmDuCnEzEeWKsgrp3VnvAw,v2.ondemand,"Colossal pyramids, imposing temples, golden treasures, enigmatic hieroglyphs, powerful pharaohs, strange gods, and mysterious mummies are features of Ancient Egyptian culture that have fascinated people over the millennia.  The Bible refers to its gods, rulers, and pyramids. Neighboring cultures in the ancient Near East and Mediterranean wrote about its god-like kings and its seemingly endless supply of gold.  The Greeks and Romans describe aspects of Egypt's culture and history.

As the 19th century began, the Napoleonic campaign in Egypt highlighted the wonders of this ancient land, and public interest soared.  Not long after, Champollion deciphered Egypt's hieroglyphs and paved the way for other scholars to reveal that Egyptian texts dealt with medicine, dentistry, veterinary practices, mathematics, literature, and accounting, and many other topics. Then, early in the 20th century, Howard Carter discovered the tomb of Tutankhamun and its fabulous contents. Exhibitions of this treasure a few decades later resulted in the world's first blockbuster, and its revival in the 21st century has kept interest alive.

Join Dr. David Silverman, Professor of Egyptology at Penn, Curator in Charge of the Egyptian Section of the Penn Museum, and curator of the Tutankhamun exhibitions  on a guided tour of the mysteries and wonders of this ancient land.  He has developed this online course and set it in the galleries of the world famous Penn Museum.  He uses many original Egyptian artifacts to illustrate his lectures as he guides students as they make their own discovery of this fascinating culture.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}, {""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}]","[""16464307""]","[""David P. Silverman""]",INTERMEDIATE,Introduction to Ancient Egypt and Its Civilization,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/92/4f072099f811e5804aa1dc561b44cc/Egyptology.jpg,"[""en""]",[],introancientegypt,[],,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert""]",R6Moq5R5EeqJLQ7R1g895w,v2.ondemand,"What does it mean to truly change something? How does one persuade others to change? How do we reduce roadblocks to change? In this course, you’ll learn about the barriers to change and how to become more effective in inspiring change within others and your organization. Professor Jonah Berger of the Wharton School has designed this course to help you understand the REDUCE framework, and shows you how to develop your skills of persuasion and influence. By the end of this course, you’ll know both the strengths and weaknesses of certain strategies for removing barriers in change, plus you'll learn how to leverage those strategies to achieve change in both business and in life.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""15982693""]","[""Jonah Berger""]",BEGINNER,Removing Barriers to Change,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/af/ea10fe051847138a27c76461ce7d4e/removingBarriers_coursera.png,"[""en""]",[],removing-barriers-to-change,[],,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",GNtVE1J0EeaAmBJfqzpttQ,v2.ondemand,"Do you want to be more successful? This course was designed to help you define what success means to you, and to develop a plan for achieving it. Wharton Professor G. Richard Shell, an award-winning author and the creator of the popular Wharton School course on the meaning of success, created this course to help you answer the questions that arise when you consider how best to use your life. Drawing on his decades of research and mentoring, Shell offers personalized assessments to help you probe your past, imagine your future, and measure your strengths. He then combines these with the latest scientific insights on everything from self-confidence and happiness to relationships and careers. Throughout, he shares inspiring examples of people who found what they were meant to do by embracing their own true measure of success. Get ready for the journey of a lifetime—one that will help you reevaluate your future and envision success on your own terms. Students and executives say that Richard Shell’s courses and executive training programs have changed their lives. Let this course change yours.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""11666630""]","[""Richard Shell""]",BEGINNER,Success,"[""6""]",https://s3.amazonaws.com/coursera_assets/xdp/overridePartnerLogos/wharton-online-logo-1.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/09/2c2e90fa1011e6ae9951edaf03fc11/ASSuccess_Coursera_Course_Thumb.png,"[""en""]","[""child~r-3LASJLSKuxOkb_dGJang""]",wharton-success,[],,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",jdWf49xyEeiHNgpoL91vEg,v2.ondemand,"Intellectual property is the currency of the tech world, with the world’s most valuable intellectual property assets dwarfing the value of their real-world counterparts. Apple’ trademarked brand was valued at over $100 billion as of 2017. J.K. Rowling’s Harry potter franchise has generated over $25 billion to date. But how did the law come to create such enormous value in intangible assets?

This course will introduce the various types of U.S. intellectual property: patents, which cover inventions and process innovations; copyright, which protects original works of authorship; and trademarks, which protect a business’ commercial identity as the source of valuable goods and services. You will then explore case studies of how global businesses have used intellectual property law to generate enormous value from these intangible assets.","[{""subdomainId"": ""law"", ""domainId"": ""social-sciences""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""1968775""]","[""R. Polk Wagner""]",BEGINNER,Introduction to Intellectual Property,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c4/e1f10e380e4eb5b3bb32f7ec63b0d8/IP-Law_v3-01.png,"[""en""]","[""VySIY6ofEeiGvwpvb2VtxA""]",introduction-intellectual-property,[],"4 weeks, 3-4 hours/week",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],[],dBEymJ2XEe2L_wpgKckryw,v2.ondemand,"Applying to College 101 empowers learners of all backgrounds to demystify and better understand the college search and selection process, combining the expertise of an Ivy League admissions office and a leading college access and success organization. Led by expert educators, including Whitney Soule, Dean of Admissions at the University of Pennsylvania, and Dr. Sean Vereen and Sara Woods, Co-presidents of Heights Philadelphia, this free course will help students, family members, college counselors, and any curious learner to navigate each stage from the start of the college search process through preparing your applications to colleges.  

This free course includes a variety of videos, readings, and activities—all designed to encourage self-reflection, information sharing, and moments of connection.  

In this course, you’ll learn about:  

1. The organizational skills you’ll need to be successful in this process  

2. Important financial aid resources and how to make college affordable   

3. How to better understand your story and how it connects to what interests you and what colleges look for  

4. How to find your right college fit 

5. The steps and materials needed to complete your college application 

This course is designed for students who are planning to apply to college soon (11th graders and 12th graders), but the activities and videos can still be useful for students who are earlier in their college search journey as they plan for the future. Regardless of where you are in your understanding of the college search process—from those who are the first in their family to pursue a bachelor’s degree and who may be trying to figure out where to even begin—to those who are well on their way to preparing an application—this course provides a road map to helping you move through this journey in your own way and on your own time.    

This course is open to the public, asynchronous, and self-directed without a facilitator. Please note although this course is designed by the University of Pennsylvania (Penn), this is not a course about applying to Penn.  

The course is also intended for students who may not have access to college counseling – if you attend a school that offers college counseling, your counselor is the best source of information on applying to college.  

This course is for students who are applying to college for the first time, intending to pursue undergraduate degrees at a four-year institution in the U.S. 

If you are an international student attending a school outside the U.S. interested in learning more about navigating the U.S. university system and application process, we recommend enrolling in this course: Applying to US Universities.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""130486815"", ""130487329"", ""130487763""]","[""Whitney Soule"", ""Sean Vereen"", ""Sara Woods""]",BEGINNER,Applying to College 101,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/92/7752a99654498cba5c37ff023e4523/ADM_Coursera_CourseGraphics_FINAL_LogoImage.png,"[""en""]",[],applying-to-college-101,[],,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],[],1BWQ2MOEEeS3kiIACx2NTg,v2.ondemand,"Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences. Distinguishing features of the course include: 1) the introduction and use of Taylor series and approximations from the beginning; 2) a novel synthesis of discrete and continuous forms of Calculus; 3) an emphasis on the conceptual over the computational; and 4) a clear, dynamic, unified approach.

In this first part--part one of five--you will extend your understanding of Taylor series, review limits, learn the *why* behind l'Hopital's rule, and, most importantly, learn a new language for describing growth and decay of functions: the BIG O.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""227062""]","[""Robert Ghrist""]",,Calculus: Single Variable Part 1 - Functions,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/25/1fd880977511e5894d4f9b8bb1895f/CSV-logo-chapter-1-copy.jpg,"[""en""]",[],single-variable-calculus,[],6-8 hours/week,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert""]",CPy7BAtMEeeyDAoXlzPrFg,v2.ondemand,"We have all heard the phrase “correlation does not equal causation.”  What, then, does equal causation?  This course aims to answer that question and more!  

Over a period of 5 weeks, you will learn how causal effects are defined, what assumptions about your data and models are necessary, and how to implement and interpret some popular statistical methods.  Learners will have the opportunity to apply these methods to example data in R (free statistical software environment).

At the end of the course, learners should be able to:
1.  Define causal effects using potential outcomes
2.  Describe the difference between association and causation
3.  Express assumptions with causal graphs
4.  Implement several types of causal inference methods (e.g. matching, instrumental variables, inverse probability of treatment weighting)
5.  Identify which causal assumptions are necessary for each type of statistical method

So join us.... and discover for yourself why modern statistical methods for estimating causal effects are indispensable in so many fields of study!","[{""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""25154278""]","[""Jason A. Roy, Ph.D. ""]",INTERMEDIATE,A Crash Course in Causality:  Inferring Causal Effects from Observational Data,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b1/7db6500b4e11e79da877cf76ec2f89/newtons_cradle.png,"[""en""]",[],crash-course-in-causality,[],"5 weeks of study, 3-5 hours per week",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],[],VlVL7qXiEeScJCIACymM8Q,v2.ondemand,"“It depends.”  That is what you’ll hear when asking about the U.S. university admission process.  With over 4,000 universities in the United States and no standard application system, the U.S. admission process can be confusing for everyone, but especially for students applying from other countries.

This course will help international students (non-U.S. citizens) and non-native English speakers navigate the U.S. university admission process by offering practical information about the documents and pieces that make up a U.S. university application.  More importantly, admission officers will discuss how they use those pieces to decide who is accepted and who is denied, so that you can understand the process beyond the pieces.

By the end of this course, you will understand application basics that include researching schools, creating a school list, and establishing an application plan.  This course will not answer all of your application questions, but it will teach you to ask the right questions of yourself and the universities.  Ultimately, you will have all the information you need to start your process the right way, putting you on the path to acceptance.

* Please note, while the English Language Programs are part of the University of Pennsylvania, this is not a course about applying to Penn.  Furthermore, this course is intended for international students educated in the national curriculum of their country.  While other students are welcome to enroll, the course is not intended for American students or students studying in an American, International Baccalaureate, or Advanced Placement curriculum.  The course is also intended for students who do not have access to university counseling – if you attend a school that offers university counseling, your counselor is the best source of information on applying to university.  Finally, this course is for undergraduate (Bachelors degree) freshmen (students who have not attended any university) applicants.  Undergraduate transfer applicants, students who have attended a university, will find some of the information helpful, but graduate (Masters and Doctoral) applicants will not.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""5455877""]","[""Erick Hyde""]",BEGINNER,Applying to U.S. Universities,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e9/f626e06aca11e691a92b8fcb3cb5d5/ELP_Coursera_CourseIcon.jpg,"[""en""]",[],study-in-usa,[],14 hours of videos,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",KkFXzUXEEeWb8RJf7Z1H0w,v2.ondemand,"This course is designed to impact the way you think about transforming data into better decisions. Recent extraordinary improvements in data-collecting technologies have changed the way firms make informed and effective business decisions. The course on operations analytics, taught by three of Wharton’s leading experts, focuses on how the data can be used to profitably match supply with demand in various business settings. In this course, you will learn how to model future demand uncertainties, how to predict the outcomes of competing policy choices and how to choose the best course of action in the face of risk. The course will introduce frameworks and ideas that provide insights into a spectrum of real-world business challenges, will teach you methods and software available for tackling these challenges quantitatively as well as the issues involved in gathering the relevant data.

This course is appropriate for beginners and business professionals with no prior analytics experience.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""14187320"", ""14171478"", ""14137260""]","[""Senthil Veeraraghavan"", ""Sergei Savin"", ""Noah Gans""]",,Operations Analytics,"[""6""]",https://s3.amazonaws.com/coursera_assets/xdp/overridePartnerLogos/wharton-online-logo-1.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/66/fd32504cd611e5bb11bbbec9ff99cd/coursera_operations_analytics_8x8.png,"[""en""]","[""utjeMEgmEeWJSQ6Y2aPmQQ""]",wharton-operations-analytics,[],"4 weeks of study, 2-3 hours/week",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",dZoAyibQEeiHXRK9Gf-Ucg,v2.ondemand,"In this course, you’ll learn the foundational economic theories behind health care innovation and how to optimize your own health care practice or organization. Designed to help you gain a practical understanding of innovation techniques, operations management, and value and quality in the health care setting, this course will help you apply these frameworks to assess health care practices and apply innovation while managing risk. You’ll also explore the best practices for evaluating one’s innovative practices, using real-life examples of success to see the concepts in action. By the end of this course, you’ll have honed your skills in optimizing health care operations, and be able to develop the right set of evaluations and questions to achieve best innovative practices within your organization.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""183954256"", ""118378508"", ""80967122"", ""33180220"", ""1349478"", ""183928329""]","[""Amber Bird"", ""Sarah Rottenberg"", ""Neha Patel"", ""Roy Rosin, MBA"", ""Christian Terwiesch"", ""Lee A. Fleisher""]",,Health Care Innovation,"[""6""]",https://s3.amazonaws.com/coursera_assets/xdp/overridePartnerLogos/wharton-online-logo-1.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9e/c0cf203c2611e88f3eebe26be0882e/BOHC_Innovation_Coursera_Course_Thumb.png,"[""en""]","[""ngGrbCfFEeiBCA4w6CjTYA""]",wo-pmo-healthcareinnovation,[],,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert""]",hY2iRD3pEe6hFxLQCGE4Mw,v2.ondemand,"Elevate your operational management skills with our Driving Operational Performance course, building upon the foundations laid in the Introduction to Operations Management. Led by the renowned Dr. Terwiesch, this course provides an in-depth exploration of advanced operational concepts, equipping you with the tools to analyze and optimize complex processes. You will gain practical insights into enhancing operational efficiency through hands-on problem-solving and engaging video lectures.

In this course, you'll delve into the intricacies of process analysis, learning to identify bottlenecks within intricate systems and understanding how variability impacts operational performance. You'll explore the relationship between customization and setup times, enabling you to fine-tune processes for maximum efficiency. Capacity planning will be demystified as you discover how product mix affects capacity calculations and the importance of implied utilization. Additionally, you'll develop the ability to bridge finance and operations, using the Return on Invested Capital (ROIC) framework to connect financial and operational variables.

Our course structure is designed for your success, combining engaging video lectures, hands-on practice problems, and interactive discussions. You'll have the flexibility to pause videos, work on problems, and witness Dr. Terwiesch's problem-solving approach, ensuring a thorough grasp of the material.

Join us in pursuing operational excellence and acquiring the advanced skills necessary to drive success within your organization. Enhance your ability to analyze and optimize complex processes, link operations with finance, and improve customer experiences. With a focus on practicality and real-world applications, this course empowers you to become a more effective operational manager. Enroll today to take your career to the next level and make a lasting impact on your organization's performance.

Real-world examples from industry leaders will illustrate key concepts throughout the course. Please note that these case studies are for educational purposes and do not imply endorsements of the mentioned businesses. To fully benefit from this course, it's recommended to complete the Introduction to Operations Management course beforehand.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""1349478""]","[""Christian Terwiesch""]",INTERMEDIATE,Driving Operational Performance,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/53/d28d514e104fbe9991d4e8b62ca90d/OperationalExcellence3.png,"[""en""]",[],driving-operational-performance,[],"4 weeks of study, 4-6 hours/week",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",BNA6sibtEei_mBIiERYEUg,v2.ondemand,"People are the most valuable asset of any business, but they are also the most unpredictable, and the most difficult asset to manage. And although managing people well is critical to the health of any organization, most managers don't get the training they need to make good management decisions. Now, award-winning authors and renowned management Professors Mike Useem and Peter Cappelli of the Wharton School have designed this course to introduce you to the key elements of managing people. Based on their popular course at Wharton, this course will teach you how to motivate individual performance and design reward systems, how to design jobs and organize work for high performance, how to make good and timely management decisions, and how to design and change your organization’s architecture. By the end of this course, you'll have developed the skills you need to start motivating, organizing, and rewarding people in your organization so that you can thrive as a business and as a social organization.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}]","[""7931643"", ""20997263""]","[""Michael Useem"", ""Peter Cappelli""]",BEGINNER,Management Fundamentals,"[""6""]",https://d15cw65ipctsrr.cloudfront.net/5a/dfee2041ae11e88c430bfb2ac9bdfc/BOHC_WhartonOnline_Square_color_noupenn.png?auto=format%2Ccompress&dpr=1&w=180&h=,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/17/e631f03c3711e8bc0f676717e0b927/BOHC_Management_Coursera_Course_Thumb.png,"[""en""]","[""ngGrbCfFEeiBCA4w6CjTYA""]",management-fundamentals-healthcare-administrators,[],2-3 hours per week,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert""]",WhMdfX8-EeWkMQ6S5uJulw,v2.ondemand,"Ever wondered why some things become popular, and other don't? Why some products become hits while others flop?  Why some ideas take off while others languish? What are the key ideas behind viral marketing? This course explains how things catch on and helps you apply these ideas to be more effective at marketing your ideas, brands, or products. You'll learn how to make ideas stick, how to increase your influence, how to generate more word of mouth, and how to use the power of social networks to spread information and influence. Drawing on principles from his best-selling book, ""Contagious: Why Things Catch On,"" Professor Jonah Berger illustrates successful strategies for you to use buzz to create virality so that your campaigns become more shareable on social media and elsewhere. By the end of this course, you'll have a better understanding of how to craft contagious content, build stickier messages, and get  any product, idea, or behavior to catch on.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""15982693""]","[""Jonah Berger""]",,Viral Marketing and How to Craft Contagious Content,"[""6""]",https://spark-public.s3.amazonaws.com/whartonmarketing/wharton_online_360x360.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c8/b698008a4e11e5a4fe9d45300b6e5a/Contagious-how-things-catch-on-MoocLogo.jpg,"[""en""]",[],wharton-contagious-viral-marketing,[],,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert""]",nEZQiqBbEeWw6Q7sxrDlWQ,v2.ondemand,"Perfect markets achieve efficiency: maximizing total surplus generated. But real markets are imperfect. In this course we will explore a set of market imperfections to understand why they fail and to explore possible remedies including as antitrust policy, regulation, government intervention. Examples are taken from everyday life, from goods and services that we all purchase and use. We will apply the theory to current events and policy debates through weekly exercises. These will empower you to be an educated, critical thinker who can understand, analyze and evaluate market outcomes.","[{""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""248242""]","[""Rebecca Stein""]",,Microeconomics: When Markets Fail,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cc/d29c75169172a7c1b1cdb15bb47b4c/DS_tax.png,"[""en""]",[],microeconomics-part2,[],,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],[],2C2e6l1gEeWFhAqDMJTKuQ,v2.ondemand,"Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences. Distinguishing features of the course include: 1) the introduction and use of Taylor series and approximations from the beginning; 2) a novel synthesis of discrete and continuous forms of Calculus; 3) an emphasis on the conceptual over the computational; and 4) a clear, dynamic, unified approach.

In this second part--part two of five--we cover derivatives, differentiation rules, linearization, higher derivatives, optimization, differentials, and differentiation operators.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""227062""]","[""Robert Ghrist""]",,Calculus: Single Variable Part 2 - Differentiation,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2c/9de020977511e582019b1785938f93/CSV-logo-chapter-2-copy.jpg,"[""en""]",[],differentiation-calculus,[],6-8 hours/week,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",nnIQMUfEEeylbAqjSwTWlQ,v2.ondemand,"In this course, you will get an overview of the impact of contemporary ESG ratings and how a company balances ESG issues against its financial performance. You will evaluate the effectiveness of corporate authenticity and the impacts of politics when building corporate ESG policy. You will also learn about social activism’s ability to disrupt markets, and the roles that stakeholders play when dealing with financial markets. 

Next, you will learn about corporate Boards, and the importance of creating independent Directors that can maintain neutrality to protect the interests of both the business and shareholders. You will also learn how Board structure is managed, methods for selecting Board members, and the role that Boards play when crafting ESG policy. 

Lastly, you will look at the necessity of creating a diverse and inclusive culture within an organization and will examine best practices for boards to create strong crisis and risk management policies. 

By the end of this course, you will have a comprehensive understanding of how social activism affects the corporate world in the 21st century, how to build a Board of Directors that can incorporate ESG issues into risk management and governance strategies, and how encouraging diverse and inclusive culture benefits companies.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""98294153""]","[""Mary-Hunter McDonnell""]",BEGINNER,ESG and Social Activism,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e1/5b4d8660554f0493a3f122d9658958/351343594-esg_activism_coursera.png,"[""en""]","[""R6BbtVRuEeyuwBK7I5Qtyw""]",esg-social-activism,[],,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",JWd4VXqhEeaDmw5QsxT7tQ,v2.ondemand,"Dr. Martin E.P.  Seligman—renowned worldwide as the “father of Positive Psychology”—has led visionary leaps in the scientific research, empirical data and personal understandings of human flourishing. This course explores the past, present and future of positive psychology as a journey through the key scientific leaps led by Dr. Seligman and his colleagues at the University of Pennsylvania's Positive Psychology Center and Master of Applied Positive Psychology program. 

There are no prerequisites.","[{""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""21550535""]","[""Martin E.P. Seligman, Ph.D.""]",BEGINNER,Positive Psychology: Martin E. P. Seligman’s Visionary Science,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/aa/455620c20311e690bdff42f215166e/PositivePsychology_MOOC_Icons_Course1.jpg,"[""en""]","[""4Nm6G3qgEeaz6w5WDnMvFQ""]",positive-psychology-visionary-science,[],"4 weeks of study, 4-6 hours/week",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert""]",BjlSsD4pEeaz7A4rbi9N3w,v2.ondemand,"This  course is Part 2 of the Social Norms, Social Change series.  In this course, we will examine social change, the tools we may use to enact change, and put into practice all we have learned in Part 1.   See Social Norms, Social Change Part I at this link:    https://coursera.org/learn/norms 

This course covers scripts and schemas, the cognitive structures in which social expectations are embedded, and their relationship with social norms.  The course then examines the essentials of norm abandonment, including the relations between personal beliefs and social expectations. We will also evaluate existing intervention strategies, including legal reforms, information campaigns, economic incentives, and group deliberations.  Finally, we look at a variety of tools policy makers may use to effect change, highlight the role of trendsetters in social change, and explore the conditions under which they can be successful. The course is a joint Penn-UNICEF project.""

Please see the following link for a 30% discount on the book that accompanies this course:   
https://global.oup.com/academic/product/9780190622053/?cc=us&lang=en&promocode=AAFLYG6","[{""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}]","[""806874""]","[""Cristina Bicchieri""]",BEGINNER,"Social Norms, Social Change II","[""6"", ""451""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania"", ""Unicef""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ab/3d7400648811e6b7bea771e817b4f2/SocialNorms-w-logo.jpg,"[""en""]",[],change,[],2-3 hours of work per week,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",es3OSXqhEea1Vw7ENWFEPw,v2.ondemand,"Learn how to incorporate resilience interventions into your personal and professional life with Dr. Karen Reivich. In this course, you are exposed to the foundational research in resilience, including protective factors such as mental agility and optimism. Several types of resilience interventions are explored including cognitive strategies; strategies to manage anxiety and increase positive emotions such as gratitude; and a critical relationship enhancement skill. Throughout the course, you will hear examples of individuals using resilience skills in their personal and professional lives.  Suggested prerequisites: Positive Psychology: Martin E. P. Seligman’s Visionary Science, Positive Psychology: Applications and Interventions and Positive Psychology: Character, Grit & Research Methods.","[{""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""22395593""]","[""Karen Reivich, Ph.D.""]",BEGINNER,Positive Psychology: Resilience Skills,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f3/5e41f0c20311e6a5952722e88dfa33/PositivePsychology_MOOC_Icons_Course4.jpg,"[""en""]","[""4Nm6G3qgEeaz6w5WDnMvFQ""]",positive-psychology-resilience,[],"Four weeks of study, 2-5 hours a week.",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",dZEaNbNjEeurEQ7HpnWdKw,v2.ondemand,"In this course, you will discover AI and the strategies that are used in transforming business in order to gain a competitive advantage. You will explore the multitude of uses for AI in an enterprise setting and the tools that are available to lower the barriers to AI use. You will get a closer look at the purpose, function, and use-cases for explainable AI. This course will also provide you with the tools to build responsible AI governance algorithms as faculty dive into the large datasets that you can expect to see in an enterprise setting and how that affects the business on a greater scale. Finally, you will examine AI in the organizational structure, how AI is playing a crucial role in change management, and the risks with AI processes. By the end of this course, you will learn different strategies to recognize biases that exist within data, how to ensure that you maintain and build trust with user data and privacy, and what it takes to construct a responsible governance strategy. For additional reading, Professor Hosanagar's book ""A Human’s Guide to Machine Intelligence"" can be used as an additional resource for more extensive information on topics covered in this module.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""16224543"", ""89232929"", ""226710"", ""85788163""]","[""Kartik Hosanagar"", ""Lynn Wu"", ""Kevin Werbach"", ""Prasanna Tambe""]",BEGINNER,AI Strategy and Governance,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ee/8c4c11ca8f4e12a8ed0af616de4b78/AIforBusiness_governance_coursera.png,"[""en""]","[""Wh6nmdkOEeuYJQ5ZkEJmKQ""]",wharton-ai-strategy-governance,[],,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",_nPk0sh8Eeu0XApuhnGpjQ,v2.ondemand,"In this course, you will focus on understanding the main challenges and opportunities that the Retailer’s supply chains are seeing today. You will start by revisiting the supply chain fundamentals, concentrating on the impact that the digital transformation is having on these fundamentals. You'll then learn how meaningful retail analytics can generate value for retailers and their supply chains. By the end of this course, you will be able to identify what traditional retailers are doing to successfully navigate the digital transformation.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""88032406""]","[""Santiago Gallino""]",BEGINNER,Retail Digital Supply Chain,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/25/c4b253740a4b639e8480310b258aa0/omniChannelRetail_supply_coursera-1-.png,"[""en""]","[""KUeTF8VkEeumMBLHmUEnqw""]",wharton-retail-supply-chain,[],2-3 hours per week,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],[],yeli1ehUEeSBtCIAC3lLIA,v2.ondemand,"ModPo is a FREE (no fee, no charge) fast-paced introduction to modern and contemporary U.S. poetry, with an emphasis on experimental verse, from Emily Dickinson and Walt Whitman to the present. Participants (who need no prior experience with poetry) will learn how to read poems that are supposedly ""difficult."" We encounter and discuss the poems one at a time. It's much easier than it seems! Join us and try it!

ModPo is open all year, so you can enroll now, or any time, and join us. Each year we host a lively, interactive 10-week session, in which we move together through the ten-week syllabus. The next live 10-week session of ModPo will begin on August 31, 2025, and will conclude on November 10, 2025. Al Filreis will be in touch with you by email before the September 1 start of the course with all the information you'll need to participate. If you have questions, you can email the ModPo team any time at modpo@writing.upenn.edu. Much more information about ModPo can be found at modpo.org.

During the 10 weeks of the course, you will be guided through poems, video discussions of each poem, and community discussions of each poem. And (unique among open online courses) we offer weekly, interactive live webcasts. Our famed TAs also offer office hours throughout the week. We help arrange meet-ups and in-site study groups. 

If you are curious about the ModPo team, type ""ModPo YouTube introduction"" into Google or your favorite search engine, and watch the 20-minute introductory video. You will get an overview of the course and will meet the brilliant TAs, who will be encountering the poems with you all the way to the end.

If you use Facebook, join the always-thriving ModPo group: from inside Facebook, search for ""Modern & Contemporary American Poetry"" and then request to be added as a member. If you have any questions about ModPo, you can post a question to the FB group and you'll receive an almost instant reply.

Much more information about ModPo can be found at modpo.org .

ModPo is hosted by—and is housed at—the Kelly Writers House at 3805 Locust Walk on the campus of the University of Pennsylvania in Philadelphia USA. All ModPo'ers are welcome to visit the Writers House when they are in our area. Our discussions are filmed there. Our live webcasts take place in the famed ""Arts Cafe"" of the House. To find out what's going on at the Writers House any time, just dial 215-746-POEM.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""224886""]","[""Al Filreis""]",BEGINNER,Modern & Contemporary American Poetry (“ModPo”),"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera.s3.amazonaws.com/topics/modernpoetry/large-icon.png,"[""en""]",[],modpo,[],,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",oovXvNmbEeW6jg7jFY56EQ,v2.ondemand,"Aprende a analizar y a mejorar los procesos empresariales en servicios o en la industria. Aprende cómo incrementar la productividad y a ofrecer niveles de calidad mayores. Después de que finalices con éxito este curso, podrás aplicar estas habilidades en un reto empresarial del mundo real como parte de la Programa Especializado de Fundamentos Empresariales de Wharton.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""1349478""]","[""Christian Terwiesch""]",,Introducción a la Gestión de Operaciones,"[""6""]",https://s3.amazonaws.com/coursera_assets/xdp/overridePartnerLogos/wharton-online-logo-1.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/92/e771b0e99111e6920bd9039f8ce9e5/Operations_Coursera_Course_Thumb.png,"[""es""]","[""5cRd_NmpEeWkogoQ284TMQ""]",wharton-gestion-operaciones,[],"4 weeks of study, 4-6 hours a week",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",C-WALZ3LEeWVBgpelZA5Jw,v2.ondemand,"This course is designed to show you how use quantitative models to transform data into better business decisions. You’ll learn both how to use models to facilitate decision-making and also how to structure decision-making for optimum results. Two of Wharton’s most acclaimed professors will show you the step-by-step processes of modeling common business and financial scenarios, so you can significantly improve your ability to structure complex problems and derive useful insights about alternatives. Once you’ve created models of existing realities, possible risks, and alternative scenarios, you can determine the best solution for your business or enterprise, using the decision-making tools and techniques you’ve learned in this course.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""16532798"", ""16532832""]","[""Richard Lambert"", ""Robert W. Holthausen""]",,Decision-Making and Scenarios,"[""6""]",https://s3.amazonaws.com/coursera_assets/xdp/overridePartnerLogos/wharton-online-logo-1.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/37/a0b700b00611e5ae9d8158e68cbd96/Wharton_online_decision_8x8.png,"[""en""]","[""kAtEJ53KEeW9ng5xPiEOCQ""]",wharton-decision-making-scenarios,[],"4 weeks of study, 1-3 hours/week",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",gwI23F2CEeW7fArvq3U29Q,v2.ondemand,"This course provides a brief introduction to the fundamentals of finance, emphasizing their application to a wide variety of real-world situations spanning personal finance, corporate decision-making, and financial intermediation. Key concepts and applications include: time value of money, risk-return tradeoff, cost of capital, interest rates, retirement savings, mortgage financing, auto leasing, capital budgeting, asset valuation, discounted cash flow (DCF) analysis, net present value, internal rate of return, hurdle rate, payback period.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""10339756""]","[""Michael R Roberts""]",,Introduction to Corporate Finance,"[""6""]",https://s3.amazonaws.com/coursera_assets/xdp/overridePartnerLogos/wharton-online-logo-1.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4f/d297b0e99111e6a3f04f721ab5825e/Finance_Coursera_Course_Thumb.png,"[""en""]","[""GM-5z8kaEembiRJiedmGqA"", ""XvFLWP2uEeqmKw5GnbMYDw"", ""child~y1UW-PoUEeaJcg5fc3xSYA""]",wharton-finance,[],"4 weeks of study, 3-5 hours/week",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert""]",0ej5C6CJEeiAExLt68dqiA,v2.ondemand,"Computational thinking is the process of approaching a problem in a systematic manner and creating and expressing a solution such that it can be carried out by a computer.  But you don't need to be a computer scientist to think like a computer scientist!  In fact, we encourage students from any field of study to take this course.  Many quantitative and data-centric problems can be solved using computational thinking and an understanding of computational thinking will give you a foundation for solving problems that have real-world, social impact.   

In this course, you will learn about the pillars of computational thinking, how computer scientists develop and analyze algorithms, and how solutions can be realized on a computer using the Python programming language.  By the end of the course, you will be able to develop an algorithm and express it to the computer by writing a simple Python program. 

This course will introduce you to people from diverse professions who use computational thinking to solve problems. You will engage with a unique community of analytical thinkers and be encouraged to consider how you can make a positive social impact through computational thinking.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""33934068""]","[""Susan Davidson""]",BEGINNER,Computational Thinking for Problem Solving,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/84/272c2c215b4b1badd5032dafd2a761/1200-x-1200_Computational-Thinking.png,"[""en""]",[],computational-thinking-problem-solving,[],"4 weeks, 6-8 hours/week",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",G6SPg3t8EeeAExLLhasP5A,v2.ondemand,"This course will focus on the interprofessional realtionship of dentistry and medicine. For each session, the medical specialist will present a broad overview of specific disease entity which will be followed by a dental educator discussing the relevant oral manifestations and implications. The final module of each session will be devoted to the interaction between the dental and  other health care professionals.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}]","[""6317837"", ""6306783"", ""3645467""]","[""Dr. Thomas P. Sollecito"", ""Dr. Eric Stoopler"", ""Dr. Uri Hangorsky""]",INTERMEDIATE,The Oral Cavity: Portal to Health and Disease,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/26/7f17f08a1111e79a8463be7d3581b4/Oral-Cavity-Course-5.png,"[""en""]","[""2O6nTqofQHKNAMTSVtg6kQ""]",oralcavity,[],,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",NSGc8tiHEeiHIA7llb1GCg,v2.ondemand,"Once you have an understanding of what compliance is, and why it may be important, it is natural to wonder next, “What should I do about it?”  In this course, we’ll explore one of the key factors for creating a positive culture of compliance: human psychology. We’ll think about what drives us, what makes us pay attention, what distracts, and how all of these pieces help build a strong belief in an organizational culture of compliance. 

We will examine formal compliance programs, diving into the nuances of how they are applied in practice. We’ll also explore the technologies, workflows, policies, monitoring, and training necessary to create a toolkit for designing an effective compliance program.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""law"", ""domainId"": ""social-sciences""}]","[""25105451"", ""30368268""]","[""Lauren Steinfeld"", ""Andrew Kandel""]",,Effective Compliance Programs,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a4/399295762c4279b6de1bca66c1cfbb/Effective-Compliance-Programs-01.png,"[""en""]","[""iFaGmaofEeiMdw78GmphOA""]",effective-compliance-programs,[],"4 weeks of study, 3-4 hours/week",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",iHw2uqofEeiD6g6696FGog,v2.ondemand,"Compliance isn’t only about preventing problems and ensuring that everyone is abiding by laws, rules, and regulations.  It’s also about the positive impact a robust and ethical compliance program can have on a business or organization.

In this course we will discuss why compliance is important – from the needs facing businesses in highly regulated industries to avoiding fines and penalties to preventing reputational and economic nightmares. We’ll examine real-world examples of compliance and governance failures and their impact, and consider strategies for avoiding similar situations in our own organizations. You’ll be able to think about risk management in new ways and apply strategies to manage it.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""law"", ""domainId"": ""social-sciences""}]","[""30368268"", ""25105451""]","[""Andrew Kandel"", ""Lauren Steinfeld""]",,What is Compliance?,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4c/0c2ee249554653af58e7a9dafc30dc/Introduction-to-Compliance-Why-compliance-is-important-to-everyone-01.png,"[""en""]","[""iFaGmaofEeiMdw78GmphOA""]",what-is-compliance,[],"4 weeks, 3-4 hours per week",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",Y7GjB55UEeyecw4_xU2sgw,v2.ondemand,"In this course, Frontiers in Dentistry, you will be able to explore some of the latest advances in the field of dental medicine. The innovations in therapeutic techniques as well as our understanding of the biomedical sciences have been made possible by our research enterprise which integrates the latest emerging technology along with interdisciplinary collaborations. 

The material presented will focus on five distinct domains which have recently undergone significant transformation and hold endless possibilities for continued advancement in oral health care delivery. You will learn about each domain and how it addresses the clinical needs of the population, varying therapeutic and scientific innovations that have been incorporated into each domain, what technologies have enabled the domains to develop, and more. 

Each topic will be contained within a module containing an interview-style video with supporting visuals and accompanying quiz material, as well as any suggested supplementary reading or documents provided by the speaker.  You'll finish this course with a deeper understanding about some of the newest innovations in dentistry and how the field has evolved over the past few decades.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""3645467""]","[""Dr. Uri Hangorsky""]",INTERMEDIATE,Frontiers in Dentistry,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3e/2e7617db4f41159ef04dd51da70278/Asset-1.png,"[""en""]","[""2O6nTqofQHKNAMTSVtg6kQ""]",frontiers-in-dentistry,[],,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert""]",zily1gP8EfCSEQ5mmEHERQ,v2.ondemand,"In every era, individuals and families have been forced to flee their homelands due to war, persecution, or grave human rights abuses. This course offers a comprehensive overview of the legal, historical, and humanitarian frameworks that shape refugee protection and asylum in the United States. Drawing on international treaties, U.S. law, and real-world case studies, learners will examine the refugee definition, the processes by which individuals seek protection, and the durable solutions that uphold the right to live in safety and dignity.

Through four modules, participants will explore the full arc of the refugee experience—from forced migration and legal recognition to resettlement, integration, and civic participation. Designed for both advocates and individuals directly affected by displacement, this course empowers learners with practical knowledge and a human rights lens. It affirms that protection is not merely an act of policy—it is a profound expression of global solidarity and shared humanity.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""101199546""]","[""Fernando Chang-Muy""]",,Refugee & Asylum Advocacy: Legal Frameworks for Protection,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d8/f7657c3a084efa857a6dc0000fca84/asylum-logo-01.png,"[""en""]",[],refugee-asylum-advocacy,[],,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert""]",dScDad8bEeWNrAqe1RXmgw,v2.ondemand,"Welcome to English for Career Development, a course created by the University of Pennsylvania, and funded by the U.S. Department of State Bureau of Educational and Cultural Affairs, Office of English Language Programs. 

To enroll in this course for free, click on “Enroll now” and then select ""Full Course.  No certificate.""

This course is designed for non-native English speakers who are interested in advancing their careers in the global marketplace.  In this course, you will learn about the job search, application, and interview process in the United States, while comparing and contrasting the same process in your home country. This course will also give you the opportunity to explore your global career path, while building your vocabulary and improving your language skills to achieve your professional goals. The first unit in this course will introduce the U.S. job application process and provide strategies for identifying the jobs that match your interests and skills. Unit 2 will take you through the steps necessary to produce a professional-looking resume. In unit 3, you will work to develop a clear and concise cover letter. The final unit of the course focuses on networking and interview skills.

Anyone may take this course for free. If you want to get a Coursera Verified Certificate for free, please fill out the Financial Aid form.

 Unless otherwise noted, all course materials are available for re-use, repurposing and free distribution under a Creative Commons 4.0 Attribution license.

Supplemental reading materials were provided by Newsela, which publishes daily news articles at a level that's just right for each English language learner.","[{""domainId"": ""language-learning"", ""subdomainId"": ""learning-english""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""18326342"", ""18426335""]","[""Brian McManus"", ""Robyn Turner""]",,English for Career Development,"[""6""]",https://d396qusza40orc.cloudfront.net/phoenixassets/penn-USstate-logo.jpg,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ed/2e3ef251f64ad385a065d9d9c54bf2/BC-5768_VisMerch-Phase-3-Assets_Youtube_EnglishCareerDevelopment.png,"[""en""]",[],careerdevelopment,[],,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert""]",wZm0CJ0jEeWILQ7D3uPEMw,v2.ondemand,"This course offers an introduction to the U.S. Constitution and landmark Supreme Court cases interpreting it. It explores the Constitution’s origins, its amendment over the years, and methods of constitutional interpretation. Topics include the nature and structure of the federal government, the powers of the federal government, and individual rights.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}, {""subdomainId"": ""law"", ""domainId"": ""social-sciences""}]","[""5076688""]","[""Professor Kermit Roosevelt, III""]",BEGINNER,Introduction to Key Constitutional Concepts and Supreme Court Cases,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8d/0c3fd0d55a11e38627ff5d6657be75/Wethepeople.png,"[""en""]",[],constitution,[],,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert""]",qP8H0jR0Ee2fgRKcLe05yw,v2.ondemand,"사회적 선에 투자하기 위해 좋은 비즈니스 관행을 실천해야 하는 때는 언제일까요? 전 세계에 긍정적인 사회적 영향을 미치기 위한 가장 혁신적이고 효과적인 비즈니스 전략은 무엇일까요? 와튼 스쿨의 명성 높은 교수인 캐서린 클라인(Katherine Klein)과 크리스 제지(Chris Geczy)가 개인, 조직, 투자자들이 사회적 변화를 도모할 수 있도록 도움을 주기 위해 설계한 이 강의에서는 영향 투자의 기본 요소를 소개하고, 사회적 영향을 주도하는 비즈니스 전략을 개발하는 방법을 다룹니다. 여러분은 이제 목적을 키우며 변화를 도모하는 리더가 되는 방법, 증거 기반의 모델을 통해 사회적 영향을 측정하는 방법, 벤처 기업에 효과적이고 의미 있게 투자하는 방법을 학습할 것입니다. 이 과정을 이수한 뒤에는 목적을 가지고 조직을 이끄는 현실에 대해 심도 있게 이해하고, 전 세계에 영향력 있는 변화를 이끌어 낼 성공적인 전략을 구축할 수 있을 것입니다.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""2161017""]","[""Katherine Klein""]",,사회적 영향을 위한 비즈니스 전략,"[""6""]",https://s3.amazonaws.com/coursera_assets/xdp/overridePartnerLogos/wharton-online-logo-1.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/db/709040aad611e7b2ec3fdd2fe0097b/BSSocialImpact_Coursera_Course_Thumb.png,"[""ko""]",[],wharton-social-impact-ko,[],,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",tAfppJ3KEeWoKRLkmmHLTQ,v2.ondemand,"The simple spreadsheet is one of the most powerful data analysis tools that exists, and it’s available to almost anyone. Major corporations and small businesses alike use spreadsheet models to determine where key measures of their success are now, and where they are likely to be in the future. But in order to get the most out of a spreadsheet, you have the know-how to use it. This course is designed to give you an introduction to basic spreadsheet tools and formulas so that you can begin harness the power of spreadsheets to map the data you have now and to predict the data you may have in the future. Through short, easy-to-follow demonstrations, you’ll learn how to use Excel or Sheets so that you can begin to build models and decision trees in future courses in this Specialization. 
Basic familiarity with, and access to, Excel or Sheets is required.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""253929""]","[""Don Huesman""]",,Introduction to Spreadsheets and Models,"[""6""]",https://s3.amazonaws.com/coursera_assets/xdp/overridePartnerLogos/wharton-online-logo-1.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/22/602700b00511e5ada4195d312ad6aa/Wharton_online_spreadsheets_8x8.png,"[""en""]","[""GM-5z8kaEembiRJiedmGqA"", ""kAtEJ53KEeW9ng5xPiEOCQ""]",wharton-introduction-spreadsheets-models,[],"4 weeks of study, 1-3 hours/week",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert""]",3NogQ11pEeWJEg4Ftlh5hw,v2.ondemand,"Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences. Distinguishing features of the course include: 1) the introduction and use of Taylor series and approximations from the beginning; 2) a novel synthesis of discrete and continuous forms of Calculus; 3) an emphasis on the conceptual over the computational; and 4) a clear, dynamic, unified approach.

In this fifth part--part five of five--we cover a calculus for sequences, numerical methods, series and convergence tests, power and Taylor series, and conclude the course with a final exam.  Learners in this course can earn a certificate in the series by signing up for Coursera's verified certificate program and passing the series' final exam.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""227062""]","[""Robert Ghrist""]",,Single Variable Calculus,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/05/cda840977511e5aa161903ab17f92e/CSV-logo-chapter-5-copy.jpg,"[""en""]",[],discrete-calculus,[],6-8 hours/week,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert""]",Vp52vu4EEe-GKw4xJmSE0Q,v2.ondemand,"This course delves into the complex forces driving the high cost of US healthcare, offering a deep dive into why the system is both costly on a macro level and burdensome for individuals. You’ll explore how factors such as high prices, intensive service use, and system inefficiencies contribute to soaring expenditures. By comparing the US system with those in England and Germany, the course highlights how governance, financing, and resource allocation strategies can help contain costs while still providing high-quality care.

Throughout the course, you will gain a nuanced understanding of the interplay between healthcare prices and utilization. You’ll learn how differences in system design—such as clear boundaries, integrated care models, and regulatory frameworks—shape outcomes and impact overall spending. By examining real-world data and case studies, you’ll be equipped to critically assess policy interventions and consider reforms that might offer a “least worst” solution for controlling costs. Join us to unravel the intricacies of healthcare economics and discover practical insights for navigating and potentially reforming the US healthcare landscape.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""47205003""]","[""Angus Corbett""]",INTERMEDIATE,The Cost of Care: Why is U.S. Healthcare so Expensive?,"[""6""]",http://coursera-university-assets.s3.amazonaws.com/0b/2bbb602d5c4c95b3889b602e9d1650/Wide-Penn-Logo.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a3/625feac59b41f3bf2c3cd4f1f6fcca/healthcare-logo-01.png,"[""en""]",[],the-cost-of-care-why-is-us-healthcare-so-expensive,[],,JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",ct9K_oG4EeWyzwo1CAL63Q,v2.capstone,Wharton's Applied Knowledge Capstone Project enables you to apply your analytic skills to real business challenges – including your own. You’ll use your newly earned business skills to thoughtfully evaluate a real situation or opportunity from Wharton-governed companies like Shazam and SnapDeal.,"[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""1349478""]","[""Christian Terwiesch""]",,Wharton Business Foundations Capstone,"[""6""]",https://s3.amazonaws.com/coursera_assets/xdp/overridePartnerLogos/wharton-online-logo-1.png,"[""University of Pennsylvania""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d5/fe6dd0451111e5b6772f0600645aad/capstone_foundation2.png,"[""en""]","[""child~y1UW-PoUEeaJcg5fc3xSYA""]",wharton-capstone,[],"5 weeks of study, 3-5 hours/week",JkvsWhpidrE2xdWga,8nYhmueMGBDO3lNxi
[],"[""VerifiedCert"", ""Specialization""]",MmxI4xQSEfGTgQr_yxD4Aw,v2.ondemand,"This course focuses on community growth strategies that deepen participation, strengthen loyalty, and sustain long-term community value. You’ll learn how to design interactive experiences such as virtual events, multimedia campaigns, and storytelling initiatives that drive meaningful engagement. You’ll also explore how partnerships, influencer collaboration, and personalized communication support community growth and member trust. You’ll be introduced to practical approaches for gamification and monetization that add value for members while supporting organizational goals. Throughout the course, you’ll learn how AI tools can enhance content creation, efficiency, and personalization without replacing human judgment. By the end of the course, you’ll be equipped to plan scalable, engaging community programs that balance growth, retention, and member experience.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""30575670""]","[""Taught by Meta Experts""]",BEGINNER,Growing and Sustaining Online Communities,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ca/ea5bd7a0a5494aa962e19e6ef49dfa/C4.1-Logo.png,"[""en""]","[""g4Vx7CUjSjCMkM6zJsuftg""]",growing-and-sustaining-online-communities,[],"4 weeks, 5-6 hours per week",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",BEjQU3kbEeqayxIVuQI5Hw,v2.ondemand,"This course lays the foundation of social media marketing. You’ll learn what social media marketing entails, including the history and the different social media channels that exist. You’ll learn how to select a social media channel that fits your needs, set goals and success metrics, and determine who your target audience is.

By the end of this course, you will be able to: 
• Understand the landscape of traditional, digital, and social media marketing
• Understand how to become certified as a Digital Marketing Associate 
• Understand the major social media platforms, how they function, and what role they play in marketing
• Create SMART goals and identify KPIs
• Define your target audience and their customer journey
• Choose the right social media platforms and learn how to create social media policies

Whatever level of knowledge you start with, this course will help you build a solid foundation for social media marketing and gain applicable skills that will allow you to make your social media marketing efforts more successful and noticeable.

Learners don't need marketing experience, but should have basic internet navigation skills and be eager to participate and connect in social media.  Learners must have a Facebook account and an Instagram account helps.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""44053421""]","[""Anke Audenaert""]",BEGINNER,Introduction to Social Media Marketing,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ea/47a5f777984a1e8c0cf1b8cc117234/Introduction-to-Social-Media-Marketing_1.png,"[""en""]","[""child~Q3N4tji8EeuArBIb7wedmw""]",social-media-marketing-introduction,[],"5 weeks of study, 5-6 hours/week",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",XsJx2AxYEe2inQ7Ty0HBww,v2.ondemand,"Learn how to work with web technologies and persistent data on Android applications even after you close or restart an app. There is a focus on web communication and developer tools and you will discover how Kotlin applications communicate over the web. You’ll learn how data formats and web protocols work in relation to Kotlin apps. Furthermore, you will practice applying asynchronous programming techniques using Kotlin. 

Learn the core functionality and uses of the SQLite database management system (DBMS). Learn about web clients and databases by adding connections from your app to other languages to access custom-built web application programming interfaces (APIs) and database management systems.

To complete this course, it is recommended that you have an advanced understanding of Kotlin programming, along with a functional knowledge of operating Android Studio to complete this course.

By the end of this course, you will be able to:

•	Identify some of the most useful tools and packages available to a Kotlin developer 

•	Apply Kotlin coroutines in Android applications 

•	Apply the general principles of using Room 

•	Integrate code from other languages into Kotlin

•	Build a data driven Android app","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",INTERMEDIATE,Working with Data in Android,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/98/7d402e8fed413394caeaf87e6c6424/Android-dev11.png,"[""en""]","[""child~9upD8oAgEe2QiRJPGgoVdw""]",working-with-data-in-android,[],"5 weeks of study, 3-5 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",KeDOWffmEeygtQ689i7kPw,v2.ondemand,"Welcome to Introduction to Back-End Development, the first course in the Meta Back-End Developer program.  

This course is a good place to start if you want to become a web developer. You will learn about the day-to-day responsibilities of a web developer and get a general understanding of the core and underlying technologies that power the internet. You will learn how front-end developers create websites and applications that work well and are easy to maintain. 

You’ll be introduced to the core web development technologies like HTML and CSS and get opportunities to practice using them. You will also be introduced to modern UI frameworks such as Bootstrap and React that make it easy to create interactive user experiences. 

By the end of the course, you will be able to: 
- Describe the front-end developer role 
- Explain the core and underlying technologies that power the internet 
- Use HTML to create a simple webpage 
- Use CSS to control the appearance of a simple webpage 
- Explain what React is 
- Describe the applications and characteristics of the most popular UI frameworks 

For the final project in this course, you will create and edit a webpage using HTML and the Bootstrap CSS framework. Using a responsive layout grid, you will construct a responsive webpage containing text and images that looks great on any size screen. 

This is a beginner course intended for learners eager to learn the fundamentals of web development. To succeed in this course, you do not need prior web development experience, only basic internet navigation skills and an eagerness to get started with coding.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",BEGINNER,Introduction to Back-End Development,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e1/c5c12969714f7bb91cd6d740bce678/back-end-dev1.jpg,"[""en""]","[""child~O9lcQYAhEe2ifgpUSi87bw""]",introduction-to-back-end-development,[],"4 weeks of study, 4-8 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",PRc2KuuyEeyLcA5hHZ0Uxw,v2.ondemand,"React Native is an open-source framework for building cross-platform applications (apps) using React and the platform’s native capabilities. In this course, you will move from the basics of React to a more advanced implementation using React Native. You’ll review a wide range of different React components and ways of styling them. And you’ll get to practice using different mobile methods of interactivity with React Native.

Some of the basics skills you will learn include:
•	Building a single-page React Native app and styling it using basic components
•	Building large lists and configuring user inputs within a React Native app
•	Using the Pressable component to build buttons and other clickable areas
•	Setting up an app with React Navigation and moving between screens

You’ll gain experience with the following tools and software: 
•	React
•	React Native
•	Front End development languages (HTML, CSS and JavaScript)
•	JSX
•	Code editing programs, such as Expo and Visual Studio Code

This course is for learners who would like to prepare themselves for a career in mobile development. To succeed in this course, you will need foundational knowledge of React basics, internet navigation skills and an eagerness to code.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",INTERMEDIATE,React Native,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/88/de3111c1ff4f2e91a68ca29615c333/Android-dev9.png,"[""en""]","[""child~9upD8oAgEe2QiRJPGgoVdw"", ""child~Ma1Vgm87Ee2u3RLatl4oDw"", ""child~mvYSmYAgEe2bzg4SCBDeqw""]",react-native-course,[],"5 weeks of study, 3-5 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",So1rPaCBEeyFDhLpwtOZqw,v2.ondemand,"JavaScript is the programming language that powers the modern web. In this course, you will learn the basic concepts of web development with JavaScript. You will work with functions, objects, arrays, variables, data types, the HTML DOM, and much more. You will learn how to use JavaScript and discover interactive possibilities with modern JavaScript technologies. Finally, you will learn about the practice of testing code and how to write a unit test using Jest.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",BEGINNER,Programming with JavaScript,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f4/21b9e84729459cb4f0fc48b7a19788/c2-logo.jpg,"[""en""]","[""JlxJAk26SC-XRTs8e7k0eQ"", ""KPSzVL9AEeyfhAreTccY9Q"", ""child~mvYSmYAgEe2bzg4SCBDeqw""]",programming-with-javascript,[],"5 weeks of study, 6-9 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",wef7mhP_EfGTgQr_yxD4Aw,v2.ondemand,"This course introduces the foundations of community engagement and content strategy. You’ll learn how to build engaging online communities, create content that drives participation, and align community initiatives with broader business objectives. Through practical examples and guided activities, you’ll explore the role of a community manager, the key elements of successful online communities, and how various community types serve different goals. You’ll also learn how to plan and coordinate content across Meta technologies, establish a consistent brand tone and voice, and encourage meaningful interaction through user-generated content. By the end of the course, you’ll be prepared to support healthy, engaging communities that balance member needs with organizational priorities.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""30575670""]","[""Taught by Meta Experts""]",BEGINNER,Building Community Engagement Foundations,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/aa/e14135f6964fb8a41d199eace23428/C1.1-Logo.png,"[""en""]","[""g4Vx7CUjSjCMkM6zJsuftg""]",building-community-engagement-foundations,[],"4 week of study, 5-6 hours per week",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",CvxnisdEEeyduw6ktL3Xvw,v2.ondemand,"Learn how to use more advanced React concepts and features, become proficient in JSX, and confidently test your applications.

You’ll examine different types of React components and learn various characteristics and when to use them. You’ll dig into more advanced hooks and create your own. You’ll look into building forms with React. You’ll explore component composition and new patterns, such as Higher Order Components and Render Props. You’ll create a web application that consumes API data and get familiar with the most commonly used React framework integrations, tools, and testing techniques.

By the end of this course, you will be able to:
•	Render lists and form components efficiently in React.
•	Lift shared state up when several components need the updated data.
•	Leverage React Context to share global state for a tree of components.
•	Fetch data from a remote server.
•	Use advanced hooks in React, and put them to use within your application.
•	Build your own custom hooks.
•	Understand JSX in depth.
•	Embrace component composition techniques
•	Use advanced patterns to encapsulate common behavior via Higher Order Components and Render Props.
•	Test your React components.
•	Build a portfolio using React.

You’ll gain experience with the following tools and software: 
•	React.js
•	JSX
•	React
•	HTML, CSS, and JavaScript 
•	VSCode

You will be able to leverage the potential of this course to develop new skills, improve productivity, act effectively with data and boost your career.

To take this course, you should understand the basics of React, HTML, CSS, and JavaScript. Additionally, it always helps to have a can-do attitude!","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",INTERMEDIATE,Advanced React,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bf/0b0c4e3cb74bd59cf0eb5d448e355a/front-end-dev6.png,"[""en""]","[""JlxJAk26SC-XRTs8e7k0eQ"", ""KPSzVL9AEeyfhAreTccY9Q"", ""cQOIYjvBT46HlGkcOW4YjA""]",advanced-react,[],"4 weeks of study, 3 - 5 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",QIQS0UdaEe6gvRIgticq3Q,v2.ondemand,"This course introduces the use of the Python programming language to manipulate datasets as an alternative to spreadsheets. You will follow the OSEMN framework of data analysis to pull, clean, manipulate, and interpret data all while learning foundational programming principles and basic Python functions. You will be introduced to the Python library, Pandas, and how you can use it to obtain, scrub, explore, and visualize data. 

By the end of this course you will be able to:
• Use Python to construct loops and basic data structures
• Sort, query, and structure data in Pandas,  the Python library
• Create data visualizations with Python libraries
• Model and interpret data using Python

This course is designed for people who want to learn the basics of using Python to sort and structure data for data analysis.

You don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""92802189""]","[""Victor Geislinger""]",BEGINNER,Python Data Analytics,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/05/efcd0ff9a64ac0b38a6ba02c223a85/Logo_4.png,"[""en""]","[""5k8XWuYWQb-y5-3Tbls4sA"", ""child~SqcZEdZmTVysuQCd1FTevQ""]",python-data-analytics,[],"5 weeks of study, 5-6 hours/week",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",hOXjB9BCEey8_hLA_31upQ,v2.ondemand,"This course expands upon the knowledge you gained from the React Native course, and will prepare you to make more informed decisions about how you access, store, retrieve and present data within your React Native applications.

The course is designed to be completed over five weeks. You will learn about data and databases in a more general sense, and then proceed to become familiar with tools and practices for working with data specifically in React Native.

By the end of this course you will be able to:

•	Explain what REST APIs are and identify best practices for working with them
•	Make network calls to retrieve online content and handle responses from the server
•	Create databases and tables and use SQL to store data in them in a structured, relational way
•	Read and write data for a mobile application using AsyncStorage
•	Read and write data for a mobile application using SQLite

To complete this course, you will need React Native experience.  Additionally, it always helps to have a can-do attitude!","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",INTERMEDIATE,Working with Data,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7c/802a0a7860439f947a56756256b289/c7-logo.png,"[""en""]","[""child~mvYSmYAgEe2bzg4SCBDeqw""]",meta-working-with-data,[],"5 weeks of study, 3-5 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",9QacvQxYEe2k2RKm3PLQoQ,v2.ondemand,"This course introduces you to the core principles of working with data in iOS. You will delve deeper into the processes and concepts behind APIs, explore data formats that allow you to transfer data between servers and devices and discover how to work with data in Swift using Core Data. 

By the end of this course, you’ll be able to: 
 
-Demonstrate a working knowledge of how Swift applications communicate over the web. 
-Apply asynchronous programming techniques using Swift.
-Utilize a variety of methods to take advantage of the Core Data package in a Swift application.  

This course is ideal for intermediate learners who would like to prepare themselves for a career in iOS development. To succeed in this course, you should have an advanced understanding of Swift programming and a functional knowledge of APIs.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",INTERMEDIATE,Working with Data in iOS,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/48/555acd13a840229dbb079fa62bbc0f/iOS-dev7.jpg,"[""en""]","[""child~Ma1Vgm87Ee2u3RLatl4oDw""]",working-with-data-in-ios,[],"4 weeks of study, 3 - 5 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",Q1epK7S1EeqDFRJRweFckw,v2.ondemand,"This course takes a deep dive into paid advertising on social media. Learn how to start advertising on platforms like Facebook and Instagram by developing effective ads. Learn how to work with design teams by capturing the essence of your ad campaign in a creative brief, and understand how privacy policies may affect your ads. Complete the course with a project where you will produce a creative brief with assets you would deliver to a design team for your ad campaign. You’ll also create your first social media ad. 

By the end of this course you will be able to:
• Determine why and when to invest in paid advertising on social media 
• Understand the anatomy of a social media ad and how they differ from organic posts
• Evaluate on which platforms to run social media ad campaigns and what makes an ad effective
• Craft compelling and effective visuals and copy for social media ads
• Learn how to collaborate effectively with others through creative briefs
• Build foundational understanding for data, data-based advertising and privacy protection
• Build an ad directly from your Facebook Business Page and your Instagram Business Account
• Use Instagram Stories Ads effectively to connect with customers
• Write a creative brief and create a social media ad

This course is intended for people who want to learn how to create and manage ads on social media. Learners don't need marketing experience, but they have basic internet navigation skills and are eager to participate and connect in social media.  Having a Facebook or Instagram account helps and ideally learners have already completed course 1 (Introduction to Social Media Marketing) and 2 (Social Media Management) in this program.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""58996683""]","[""Daniel Kob""]",BEGINNER,Fundamentals of Social Media Advertising,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ba/bfa7f453774f20a9823ab4c35768fb/Fundamentals-of-Social-Media-Advertising_1.png,"[""en""]","[""child~Q3N4tji8EeuArBIb7wedmw""]",social-media-advertising-fundamentals,[],"5 weeks of study, 5-6 hours/week",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",CKfOGM95EeyIXQ7d-KWeWQ,v2.ondemand,"This course is ideal for beginners eager to learn the fundamental concepts that underpin the Swift programming language. Explore the basic programming concepts and data structures that are core to any language, while discovering the unique aspects that make Swift as versatile as it is today.

In this course, you will receive hands-on practice utilizing these concepts. More specifically, you will learn how to use constants and variables with different data types and explore how to sort and store information in collection types such as arrays, tuples and dictionaries. Finally, you will discover how to make your code reusable and more expressive by using functions and closures. 

By the end of this course, you will be able to:
•	Demonstrate a working knowledge of general programming principles
•	Prepare your computer system for Swift programming
•	Show understanding of Swift syntax and how to control the flow of code
•	Demonstrate knowledge of how to declare, use and modify constants and variables
•	Differentiate between the different types of operators and their functions
•	Demonstrate how to create simple control flow patterns and call functions using Swift

This is a beginner course for learners who would like to prepare themselves for a career in iOS development. To succeed in this course, you do not need prior web development experience, only basic internet navigation skills and an eagerness to get started with coding.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",BEGINNER,Programming Fundamentals in Swift,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a6/f4e8c2abcc46a99bbc8b0b0de7656a/iOS-dev2-1-.jpg,"[""en""]","[""5QIXWq1JT7GvWhyg_KQdRg"", ""child~Ma1Vgm87Ee2u3RLatl4oDw""]",programming-fundamentals-swift,[],"5 weeks of study, 3-5 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert""]",vyTXXR_OEe2BPRI-bktxDQ,v2.ondemand,"The metaverse isn’t just for gamers or developers, it will be for everyone. In this course from the experts at Meta, you’ll learn what the metaverse is, what it means for our world today and into the future, and the opportunities it presents for both professionals and businesses.  

Understand the metaverse fundamentals
Experts will guide you through a broad range of topics spanning the metaverse ecosystem, from communication and collaboration to NFTs and cryptocurrency, from avatars and devices to platforms and game engines. You’ll learn about augmented reality (AR), virtual reality (VR), extended reality, NFTs, blockchain, web3, cryptocurrency, and more. 

Discover new ways to connect, learn, and work 
The metaverse provides new ways to connect people, websites, platforms and realities. You’ll explore how it will enhance online social experiences, the future of work and learning. 

Opportunities for professionals and businesses
The metaverse will be built by everyone, with creative and practical applications being developed every day by imaginative people. Learn how the metaverse will be applied in areas like healthcare, education, city planning, art, and more—and how you can start creating these experiences today. You’ll also learn how the metaverse can make the world a more diverse, equitable, and inclusive place.

By the end of the course, you’ll be equipped with the fundamental knowledge of the metaverse to determine future areas of interest, learning, or professional growth.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""117838245""]","[""Taught by Experts""]",BEGINNER,What is the Metaverse?,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/22/07eeacdc0a4cbeb854364aad6e7a83/WITM-course_Square.jpg,"[""en""]",[],what-is-the-metaverse,[],"2 weeks of study, 5 hours per week",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",k-reWsdAEeyyUBK3-TLTlw,v2.ondemand,"It's time to build something bigger. In this course, you will use the Django web framework to build, secure and administer a web server. You will have the opportunity to create, design and configure a web app using the Django framework in-line with best practices. 

Explore the usage of models in Django and their relationship to databases. Use views to render requested data to meaningful template structures for a composed user interface (UI). Implement proactive security practices and mitigate common security risks.

B​y the end of the course you will be able to:

• Design a Django web application using Python, HTML and CSS.
• Describe and implement the HTTP request response cycle by creting views, routes and templates.
• Describe and build a data model to create database tabless and dynamic web forms.
• Explore the Django Template Language to create dyanamic webpages that display data stored in a database.
• Create, share and test your web application by using industry standard best practice and guidelines.  

To succeed in this course, you are required to have a fundamental knowledge of the following:
HTML and CSS
Python
MySQL

You also require basic internet navigation skills and an eagerness to get started with coding in Django!","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",BEGINNER,Django Web Framework ,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/91/e27ff4f78942848ad3b0266e14dbfc/back-end-dev3.png,"[""en""]","[""JlxJAk26SC-XRTs8e7k0eQ"", ""child~O9lcQYAhEe2ifgpUSi87bw"", ""vOC_jof9S2iFZfabFDKXQQ""]",django-web-framework,[],"5 weeks of study, 1.5 - 3 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",2jTqHscpEeyduw6ktL3Xvw,v2.ondemand,"In this course, you will be introduced to foundational programming skills with basic Python Syntax. You’ll learn how to use code to solve problems. You’ll dive deep into the Python ecosystem and learn popular modules, libraries and tools for Python. 

You’ll also get hands-on with objects, classes and methods in Python, and utilize variables, data types, control flow and loops, functions and data structures. You’ll learn how to recognize and handle errors and you’ll write unit tests for your Python code and practice test-driven development.

By the end of this course, you will be able to:
•	Prepare your computer system for Python programming
•	Show understanding of Python syntax and how to control the flow of code
•	Demonstrate knowledge of how to handle errors and exceptions
•	Explain object-oriented programming and the major concepts associated with it
•	Explain the importance of testing in Python, and when to apply particular methods

This is a beginner course for learners who would like to prepare themselves for a career in back-end development or database engineering. To succeed in this course, you do not need prior web development experience, only basic internet navigation skills and an eagerness to get started with coding.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",BEGINNER,Programming in Python,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/18/c722f78d9449ecb74e8a24013d6e36/DBA4.jpg,"[""en""]","[""JlxJAk26SC-XRTs8e7k0eQ"", ""child~O9lcQYAhEe2ifgpUSi87bw"", ""gFlwf79AEey5fg5A0od4Mw"", ""vOC_jof9S2iFZfabFDKXQQ""]",programming-in-python,[],"5 weeks of study, 6-9 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",9paKlrDIEeqPAQ6DYjMmAw,v2.ondemand,"This course equips you with critical content creation and management skills. You’ll learn how to create effective social media posts and how to create a strong brand to help you build a social media presence. You’ll also learn how to establish an ongoing process to manage your content. This includes setting up a content calendar, managing and moderating your posts, analyzing data for insights and iteration, and how to increase post effectiveness. You will end the course with real-world application of your skills through a content management project.

By the end of this course, you will be able to: 
• Establish and manage a social media presence 
• Create a Facebook business page and an Instagram account for business
• Understand how and why to create content for social media 
• Create a brand, tone, and voice for a social media presence
• Manage a content calendar for your social media presence
• Evaluate the performance of your content on social media to iterate and optimize the performance
• Create a content calendar for your social media presence
• Manage social media content using real world data

This course is intended for people who want to learn how to create and manage a business presence on social media, including creating content, interacting and engaging with customers on social media and evaluating the results of different posts.  

Learners don't need marketing experience, but they have basic internet navigation skills and are eager to participate and connect in social media.  Having a Facebook or Instagram account helps and ideally learners already completed course 1 (Introduction to Social Media Marketing) in this program.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""44053421""]","[""Anke Audenaert""]",BEGINNER,Social Media Management ,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c9/48188e7b2a4efb9f79ac73d3c5ecee/Social-Media-Management_1.png,"[""en""]","[""child~Q3N4tji8EeuArBIb7wedmw""]",social-media-management,[],"4 weeks of study, 5-6 hours/week",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",a9fROwxWEe2Y4woRe4onvw,v2.ondemand,"In this course, you will expand your Kotlin fluency by exploring the advanced concepts used by many Kotlin programmers. You will learn the more advanced features of Kotlin that are required to build a robust, functional Android app.  

Each week’s learning provides ample opportunity for you to practice and apply what you learn as you learn it.

By the end of this course, you will have an array of advanced programming tools to help you engineer solutions for your future Kotlin projects, progressing you toward a better understanding of Android development. On successful completion of the course you will be able to:
Implement an Android application with an Activity
Implement advanced object-oriented features in Android
Use mocks and fakes to perform unit testing in Android
Use a Lambda expression to define a function as an object
Use collection processing methods for multistep collection processing

To be successful in this course, you require a foundational understanding of Kotlin programming fundamentals and of creating a  UI in Android Studio. ","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",INTERMEDIATE,Advanced Programming in Kotlin,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/31/7bb60f7043496c9154e326f6d5e21b/Android-dev4.png,"[""en""]","[""XUSdMa2kSYOQhvrGbJ9yOg"", ""child~9upD8oAgEe2QiRJPGgoVdw""]",advanced-programming-in-kotlin,[],"4 weeks of study, 3-5 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert""]",tcwcTTmJEe-hvAr_8yolJQ,v2.ondemand,"In this short course, you learn what generative AI is and discover how it can be applied in different business scenarios. You will explore how you can utilize generative AI to enhance your social media strategy, target your audience and streamline your social media content creation. You are introduced to Meta's powerful AI tools.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""44053421""]","[""Anke Audenaert""]",BEGINNER,GenAI in Social Media Marketing,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/59/e9d2b8cfa7499a80cbd8c323975de4/GenAI-in-Social-Media-Marketing_Logo.png,"[""en""]",[],genai-in-social-media-marketing,[],"1 week of study, 3-4 hours",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",d6XuBsdAEeyyUBK3-TLTlw,v2.ondemand,"As you prepare for your role in back-end development, practice bringing together multiple skills to build a full-stack Django app. You’ll start by setting up an environment for a local practical project, and refactoring the front and back-ends of an existing application. You will then have the opportunity to create the front and back-ends of a new application using your full-stack developer skills.

By the end of this course you will be able to:
- Explain common concepts related to full stack development
- Use HTML, CSS and JavaScript to develop well-structured, interactive and responsive websites
- Build a full stack application using Django that stores its data in models on a MySQL database and updates its pages with forms and API endpoints
- Describe the different environments that web applications are deployed to

To complete this course you will need previous experience with back-end development, Python, version control, databases, Django web framework and APIs.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",INTERMEDIATE,The Full Stack,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f9/26553ed4394a9ca52dd81e928d5b05/iOS-dev4.png,"[""en""]","[""child~O9lcQYAhEe2ifgpUSi87bw""]",the-full-stack,[],"5 weeks of study, 3-5 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",b21PY8n0EeuSaBKehLlWLQ,v2.ondemand,"This course lays the foundation of marketing analytics. You’ll learn the basic principles of marketing, the role data analysis  plays in digital marketing and how data is collected and managed.

By the end of this course you will be able to:
• Describe how marketers use data to inform campaign decisions
• Describe the basic principles of marketing
• Identify why data analysis  matters in digital marketing
• Implement the Meta pixel to capture data used to track visitor activity on a website
• Explain how an API connects data captured offline to an online platform
• Describe common platforms for online data management and evaluation
• Navigate Google Analytics and Meta Ads Manager reports
• Explain the significance of the privacy regulations that govern the online marketing space

Regardless of your current marketing and analytics experience, this course will help you build a solid foundation for incorporating data into your marketing efforts. 

Learners should have basic internet navigation skills and be eager to participate.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""44053421""]","[""Anke Audenaert""]",BEGINNER,Marketing Analytics Foundation,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8d/9000ccb7a84740ae3faa17ae848abb/MA_Course1_Logo.png,"[""en""]","[""JjwjXcwISfWWEp208-8XUw"", ""child~SqcZEdZmTVysuQCd1FTevQ""]",marketing-analytics-foundation,[],"4 weeks of study, 5-6 hours/week",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",ERIzRKCGEeyFDhLpwtOZqw,v2.ondemand,"Learn how modern software developers collaborate across the world without messing up each other's code. You will look at the different version control systems and how to create an effective software development workflow. You will be introduced to some of the most commonly used Linux commands that you can use to work with files on your hard drive and create powerful workflows that will automate your work, saving you time and effort. 

Finally, you will see how Git can be used in software development projects to manage team files. And you will create a repository that can manage code revisions.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",BEGINNER,Version Control,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/40/45d53f15db4da492c650debdbd1368/GettyImages-1384894514.jpg,"[""en""]","[""KPSzVL9AEeyfhAreTccY9Q"", ""JlxJAk26SC-XRTs8e7k0eQ"", ""child~mvYSmYAgEe2bzg4SCBDeqw"", ""child~9upD8oAgEe2QiRJPGgoVdw"", ""child~Ma1Vgm87Ee2u3RLatl4oDw"", ""gFlwf79AEey5fg5A0od4Mw"", ""child~O9lcQYAhEe2ifgpUSi87bw""]",introduction-to-version-control,[],,d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",p_so-L9AEeyInQ4kvXUz6Q,v2.ondemand,"This course is an ideal stepping stone if you want to become a mobile developer. We’ll introduce you to this career path and give you a high-level overview of programming and the tools needed to develop Android applications. 

Explore the Android Studio and the fundamental concepts of Android app development. Learn about operating systems and different platforms for creating mobile apps. You’ll conclude your introduction to Android application development by building out each aspect of a guided project.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",BEGINNER,Introduction to Android Mobile Application Development ,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3e/897594b52e4058a599baa12e530b06/Android-dev1.jpg,"[""en""]","[""XUSdMa2kSYOQhvrGbJ9yOg"", ""child~9upD8oAgEe2QiRJPGgoVdw""]",introduction-to-android-mobile-application-development,[],"3 weeks of study, 1.5 - 3 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",HLV9ibR2Ee2RFw58751QMQ,v2.ondemand,"Aprenda sobre el sistema operativo y la plataforma de desarrollo para obtener información acerca del desarrollo iOS. Descubra cómo configurar y preparar un entorno local. Familiarícese con la página de configuración de Swift y escriba código en Swift.

Al final de este curso, podrá: 
 
-Demostrar un conocimiento práctico de los principios generales de las aplicaciones móviles y el ecosistema iOS
-Configurar y explorar el entorno de Xcode  
-Demostrar que entiende cómo se usa Xcode en el proceso de desarrollo de aplicaciones de Swift 
-Escribir código Swift y crear una interfaz de usuario con el uso de las páginas de configuración de Swift 
-Navegar por la interfaz de usuario de Swift 
-Manipular datos en Swift 
 
Obtendrá experiencia con las siguientes herramientas y software: 
 
-Aplicación y software Swift 
-Software y entorno de desarrollo iOS
-SO móvil 
-XCode 
-Objective-C 
-Marcos de interfaz de usuario 
-Testflight 
-Interfaz de usuario de un storyboard
-MVC 
-API","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",BEGINNER,Introducción al desarrollo de aplicaciones móviles para iOS,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b7/593664ab29419698e9c58875b26a88/iOS-dev1-1-.jpg,"[""es""]",[],introduction-to-ios-mobile-application-development-es,[],"3 semanas de estudio, de 1,5 a 3 horas por semana.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",02kFB79AEeyUxgoSRgtsGw,v2.ondemand,"Learn about iOS development by learning about the OS and the development platform. Discover how to set up and prepare a local environment. Get acquainted with the Swift playground and write code in Swift. 

By the end of this course, you’ll be able to: 
 
-Demonstrate a working knowledge of the general principles of mobile apps and the iOS ecosystem 
-Set up and explore the XCode environment  
-Demonstrate an understanding of how XCode is used in the Swift app development process 
-Write Swift code and create UI with the use of Swift playgrounds 
-Navigate the Swift UI 
-Manipulate data in Swift 
 
You’ll gain experience with the following tools and software: 
 
-Swift application and software 
-iOS software and development environment 
-Mobile OS 
-XCode 
-Objective-C 
-UI frameworks 
-Testflight 
-UI storyboard 
-MVC 
-APIs","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",BEGINNER,Introduction to iOS Mobile Application Development,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b7/593664ab29419698e9c58875b26a88/iOS-dev1-1-.jpg,"[""en""]","[""5QIXWq1JT7GvWhyg_KQdRg"", ""child~Ma1Vgm87Ee2u3RLatl4oDw""]",introduction-to-ios-mobile-application-development,[],"3 weeks of study, 1.5 - 3 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",OG6ezsdEEey3GgqQBm7DaQ,v2.ondemand,"Learn the fundamentals of User Experience (UX) research and design. Become immersed in the UX process of identifying problems and iterating and testing designs to find appropriate solutions. You’ll learn how to empathize with users through best-practice research approaches, and create common UX artifacts such as user personas. And you’ll use UX insights to make appropriate design decisions. 

By utilizing the User Interface (UI) design process, you will be able to create wireframes for features in Figma, and turn them into Minimum Viable Product (MVP) style prototypes from your mockups. You’ll also learn the core principles of design such as hierarchy and the use of grids.

By the end of this course you will be able to: 

• Design digital products that create value and solve a user's problems in meaningful ways. 
• Recognize what constitutes successful UX UI and evaluate existing interfaces for design consistency and quality.
•  Identify best practice interaction design methods and evaluate and improve your own and others' designs.
•  Create, share and test your UX UI designs following best practice guidelines.

This is a beginner course for learners who would like to prepare themselves for a career in UX  UI development. To succeed in this course, you do not need prior development experience, only basic internet navigation skills and an eagerness to learn.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",BEGINNER,Principles of UX/UI Design,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f1/8247f0e4974c67b048ffa8f3af0ea9/iOS-dev4-2-.png,"[""en""]","[""KPSzVL9AEeyfhAreTccY9Q"", ""child~9upD8oAgEe2QiRJPGgoVdw"", ""child~Ma1Vgm87Ee2u3RLatl4oDw"", ""child~mvYSmYAgEe2bzg4SCBDeqw""]",principles-of-ux-ui-design,[],"5 weeks of study, 3-5 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",wOGmOscqEeyduw6ktL3Xvw,v2.ondemand,"This is a beginner course for learners who would like to prepare themselves for a career in Android development. To succeed in this course, you should understand the basics of Kotlin and cross-platform development for mobile applications.

The course introduces you to creating a User Interface (UI) in Android Studio on a foundational level. 
You will learn about the fundamentals that will enable you to build meaningful and functional user interfaces for Android using Android Studio and Kotlin.

By the end of this course, you will be able to: 

•	Identify different approaches for building UI with Kotlin and build a basic UI.
•	You will learn about Jetpack compose, describe how composables are decorated with modifiers, how to handle state management and how to better lay out composables based on Material Design guidelines.
•	You will also learn how to apply themes, custom styles and animations to develop an attractive UI.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",INTERMEDIATE,Create the User Interface in Android Studio,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d2/e9e62da5d742b3acf15989839dd4f8/front-end-dev7.png,"[""en""]","[""XUSdMa2kSYOQhvrGbJ9yOg"", ""child~9upD8oAgEe2QiRJPGgoVdw""]",create-the-user-interface-android-studio,[],"5 weeks of study, 3-5 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",62RUvsdDEeyyUBK3-TLTlw,v2.ondemand,"React is a powerful JavaScript library that you can use to build user interfaces for web and mobile applications (apps). In this course, you will explore the fundamental concepts that underpin the React library and learn the basic skills required to build a simple, fast, and scalable app.

By the end of this course, you will be able to:
•	Use reusable components to render views where data changes over time
•	Create more scalable and maintainable websites and apps 
•	Use props to pass data between components 
•	Create dynamic and interactive web pages and apps
•	Use forms to allow users to interact with the web page 
•	Build an application in React

You’ll gain experience with the following tools and software: 
•	React.js
•	JSX
•	React
•	HTML, CSS and JavaScript 
•	VSCode

You will be able to leverage the potential of this course to develop new skills, improve productivity, act effectively with data and boost your career.

This is a beginner course for learners who would like to prepare themselves for a career in mobile development. To succeed in this course, you do not need prior development experience, only basic internet navigation skills and an eagerness to get started with coding.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",BEGINNER,React Basics,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2e/289c392ddc43f2a1c5840cdb8d0cec/iOS-dev8.png,"[""en""]","[""KPSzVL9AEeyfhAreTccY9Q"", ""JlxJAk26SC-XRTs8e7k0eQ"", ""child~mvYSmYAgEe2bzg4SCBDeqw"", ""child~9upD8oAgEe2QiRJPGgoVdw"", ""child~Ma1Vgm87Ee2u3RLatl4oDw"", ""cQOIYjvBT46HlGkcOW4YjA""]",react-basics,[],"4 weeks of study, 3 - 5 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",qfuuEccqEeyduw6ktL3Xvw,v2.ondemand,"Practice and expand on the fundamentals of programming that are core to any language as well as the unique aspects of Kotlin syntax. You will work with data types, functions, conditionals, operators, collections-arrays, variables and loops. 

Furthermore, you will declare and initialize different types of variables and explain their scope as well as create arrays and collections in Kotlin. You’ll create control flow patterns using conditionals and loops. There will be opportunities to practice using structs and classes while considering best cases for both. Discover deeper ways to use objects in Kotlin through exploring interfaces and classes.

After completing this course, you will be able to:

•	Describe basic types and variables 
•	Explain numbers in Kotlin 
•	Explain what conditions are 
•	Describe how to use loops
•	Explain the concept of a function  
•	Differentiate between a parameter and an argument 
•	Explain that a function can return a value and describe how it works 
•	Explain the difference between a class, an object and a type 
•	Differentiate between various visibility modifiers 
•	Describe the use of collections in programming 
•	Identify which collection type to use in any given situation
•	Explain the difference between List, Set and Map
•	Synthesize the skills you gained from the course to create code for the Bank Account project. 

This is a beginner course for learners who would like to prepare themselves for a career as an Android developer using Kotlin. To succeed in this course, you do not need prior web development experience, only basic internet navigation skills and an eagerness to get started with coding.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",BEGINNER,Programming Fundamentals in Kotlin,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3c/3934bcec074814811dc610d090049a/Android-dev3.png,"[""en""]","[""XUSdMa2kSYOQhvrGbJ9yOg"", ""child~9upD8oAgEe2QiRJPGgoVdw""]",meta-programming-fundamentals-kotlin,[],"4 weeks of study, 3-5 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",FbTOjccpEey3GgqQBm7DaQ,v2.ondemand,"Develop a working knowledge of the MySQL database management system (DBMS). Gain DBMS skills such as data creation, querying and manipulation. You’ll gain further experience with SQL statements, clauses and data types. 
 
By the end of this course, you’ll be able to: 
 
- Utilize the MySQL DBMS to build and modify relational databases with SQL 
- Add records to a MySQL database 
- Perform intricate queries on database records with filters and groupings 
- Create simple joins and unions within a database 
- Create relationships between tables using primary and foreign keys 
- Demonstrate the ability to complete a database normalization project

You’ll gain experience with the following tools and software: 
 
- MySQL DBMS 
- Joins and Unions 
- SQL statements, clauses and data types 
- Primary and foreign keys 
- Database normalization","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""30575670""]","[""Taught by Meta Experts""]",BEGINNER,Database Structures and Management with MySQL,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5b/29787d7f8d490387dc88f0902509ca/DBA2.jpg,"[""en""]","[""gFlwf79AEey5fg5A0od4Mw""]",database-structures-and-management-with-mysql,[],"4 weeks of study, 3-5 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",dSzZKCqREeu7Wg7KVYqVpw,v2.capstone,"In this capstone course, you will practice creating a presentation on the marketing campaign you’ve been developing throughout the program with a project where you will gain hands-on experience with communicating results and formulating recommendations based on the results of a social marketing campaign. In addition, you will sign up for and take the Meta Digital Marketing Associate Certification Exam and receive your Digital Marketing Associate Certification from Meta. After successfully completing your project and passing the Meta exam, you will receive your Coursera certificate of completion for the Meta Social Media Marketing Professional Certificate Program. 

By the end of this course, you will be able to:
• Present and communicate the results of a campaign to a team
• Complete the Digital Marketing Associate Certification Exam

This course is for people who have completed all 5 previous courses of the Meta Social Media Marketing Professional Certificate and are ready to take their Digital Marketing Associate Certification Exam and complete a Capstone project to receive their Meta Social Media Marketing Professional Certificate. 
In order to take the exam, learners must have access to a Mac or PC with a webcam.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""44053421""]","[""Anke Audenaert""]",BEGINNER,Meta Social Media Marketing Capstone,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/47/5a3db8def6484b897a1a5ac480d4c0/Meta-Social-Media-Marketing-Capstone_1.png,"[""en""]","[""child~Q3N4tji8EeuArBIb7wedmw""]",facebook-social-media-marketing-capstone,[],"3 weeks of study, 5-6 hours per week",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",BB03eBpCEeyZ9BL8TB78QQ,v2.ondemand,"This course takes a deep dive into the statistical foundation upon which data analytics is built. The first part of this course will help you to thoroughly understand your dataset and what the data actually means. Then, it will go into sampling including how to ask specific questions about your data and how to conduct analysis to answer those questions.

Many of the mistakes made by data analysts today are due to a lack of understanding the concepts behind the tests they run, leading to incorrect tests or misinterpreting the results. This course is tailored to provide you with the necessary background knowledge to comprehend the ""what"" and ""why"" of your actions in a practical sense.

By the end of this course you will be able to:
• Understand the concept of dependent and independent variables
• Identify variables to test
• Understand the Null Hypothesis, P-Values, and their role in testing hypotheses
• Formulate a hypothesis and align it to business goals
• Identify actions based on hypothesis validation/invalidation
• Explain Descriptive Statistics (mean, median, standard deviation, distribution) and their use cases
• Understand basic concepts from Inferential Statistics
• Explain the different levels of analytics (descriptive, predictive, prescriptive) in the context of marketing  
• Create basic statistical models for regression using data
• Create time-series forecasts using historical data and basic statistical models
• Understand the basic assumptions, use cases, and limitations of Linear Regression
• Fit a linear regression model to a dataset and interpret the output using Tableau
• Explain the difference between linear and multivariate regression
• Run a segmentation (cluster) analysis
• Describe the difference between observational methods and experiments

This course is designed for people who want to learn the basics of descriptive and inferential statistics.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""122446179""]","[""Brandi Robinson""]",BEGINNER,Statistics Foundations,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/64/6696147ee4413d9886b30a057cc081/MA_Course3_Logo.png,"[""en""]","[""5k8XWuYWQb-y5-3Tbls4sA"", ""JjwjXcwISfWWEp208-8XUw"", ""child~SqcZEdZmTVysuQCd1FTevQ""]",statistics-for-marketing,[],"4 weeks of study, 5-6 hours/week",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",6BWy3McrEey3GgqQBm7DaQ,v2.ondemand,"This course gives you the opportunity to demonstrate the skills you have gained throughout the Android Developer Professional Certificate program. You'll do this by developing an Android app to order food from the Little Lemon restaurant. In other words, you'll create a solution to a real-world problem.
 
At this point in the program, you've gained all the skills you need to successfully complete this project.  But you might need to refresh your memory when it comes to the previous courses in the program. For that reason, each module in this course will take you through a brief recap of relevant content from previous courses in the program. And, don't worry, there will be links too so you can review content in more detail if necessary. In this way, you will be guided through the process of building the Little Lemon food ordering app which allows you to show off your Android development skills.

By the end of the course, you will be able to:
- Set up a Jetpack Compose application
- Commit a project to a Git repository
- Plan the UI and UX of an application
- Set up a navigation hierarchy between app screens
- Create a user onboarding flow
- Develop a food menu user interface
 
On completion of the Capstone Project, you’ll have an interactive mobile application that you can share with recruiters and impress potential employers with.
 
This is an advanced course, intended for learners with a background in Android app development. And, it always helps to have a can-do attitude!","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",INTERMEDIATE,Android App Capstone ,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/38/d4342e2b8c4dfeae4c7b1c8c4c77eb/front-end-dev4.jpg,"[""en""]","[""child~9upD8oAgEe2QiRJPGgoVdw""]",android-app-capstone,[],"4 weeks of study, 3 - 5 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert""]",3V-Qs3izEe2QHRL3YiV0EQ,v2.ondemand,"Are you interested in learning how the WhatsApp Business Platform can help businesses achieve better audience engagement and customer support? Designed for developers and engineers responsible for the implementation of APIs, this course will teach you to set up and configure the WhatsApp Business Platform and the WhatsApp Business Management API.

By the end of this course you will be able to:

1. Explain the purpose and use cases of the WhatsApp Business Platform and the benefits of using the Cloud API, hosted by Meta.
2. Create an app on Meta for Developers, set up API access, send a test message, configure webhooks and set up a phone number.
3. Recognize different types of messages, create templates and use the Cloud API to send messages through WhatsApp.
4. Implement the WhatsApp Business Management API including proper setup, management, migration, and monitoring of key elements.

Enroll today to unlock the power of the WhatsApp Business Platform for your business!","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""121460436""]","[""Dmitry Vinnik""]",INTERMEDIATE,WhatsApp Business Platform for Developers,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/18/9ad935d76f43738a6b0665b3fc13bf/Logo_1.png,"[""en""]",[],whatsapp-business-platform-for-developers,[],"4 weeks of study, 2-4 hours/week",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",mlAZb8cEEeyduw6ktL3Xvw,v2.ondemand,"If you want to become a mobile developer, this course is a good place to start. You will learn about the day-to-day responsibilities of web and mobile developers and get a general understanding of the core and underlying technologies that power the internet.
 
You’ll be introduced to core technologies like HTML and CSS, and get opportunities to practice using them. 
 
In this course, you will also discover the unique world of cross-platform mobile applications (apps). Explore the various benefits of using a system like React Native to build mobile apps and get an opportunity to practice the basics.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",BEGINNER,Introduction to Mobile Development,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0d/4ac4029ca544c4a154d8b91dd6fa87/c1-logo.png,"[""en""]","[""child~mvYSmYAgEe2bzg4SCBDeqw""]",intro-to-mobile-development,[],"4 weeks of study, 3-5 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",KYd9Lr9AEeyUxgoSRgtsGw,v2.ondemand,"In this course, you’ll use software development tools like HTML to build attractive web pages that work well—and you’ll use structured semantic data to control how websites appear to the end user. 

You will then dive deeper into CSS by applying increasingly specific styling to various elements. You’ll learn to use Bootstrap’s grid system to create layouts and work with components and themes. Finally, you’ll explore debugging and learn how it can be utilized to banish common front-end errors.

By the end of this course you will be able to:

•	Create a simple form with a responsive layout using HTML5 and CSS
•	Create a responsive layout using CSS 
•	Create a UI using Bootstrap
•	Implement debugging tools

This is a beginner course for learners who would like to prepare themselves for a career in front-end development. To succeed in this course, you do not need prior development experience, only basic internet navigation skills and an eagerness to get started with coding.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",BEGINNER,HTML and CSS in depth,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1e/30b8f132b649e5afbf496dac6d21a9/front-end-dev4.jpg,"[""en""]","[""JlxJAk26SC-XRTs8e7k0eQ"", ""KPSzVL9AEeyfhAreTccY9Q"", ""vOC_jof9S2iFZfabFDKXQQ""]",html-and-css-in-depth,[],"3 weeks of study, 1.5 - 3 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",CuJ2PscqEeyyUBK3-TLTlw,v2.ondemand,"Develop a working knowledge and familiarity with advanced database concepts such as usage, modeling, automation, storage, optimization and administration.  

To take this course, you must have completed the previous Database courses. You must also be eager to continue your journey with coding.

The Professional Certificates create opportunities so that anyone regardless of education, background or experience can learn high-quality skills to land a high-growth career—no degree or experience required to get started. 
 
By the end of this course, you’ll be able to:  
 
- Deploy basic data modeling skills and navigate modern storage options for a data warehouse 
- Apply planning and execution of ETL style database engineering by building upon existing MySQL skills 
- Develop a working knowledge of the different aspects of managing a database including administration of database operations and concerns, alongside processes and solutions for monitoring, reporting and debugging  
- Demonstrate data modeling skills within a real-world project environment 
 
You’ll gain experience with the following tools and software: 
 
- Workbench data modeling software 
- Syntaxes used to interact with a data warehouse 
- Extract, transform and loading (ETL) techniques and methods 
- MySQL data warehouse administration 
- Data warehouse monitoring and reporting tools 
- Database debugging and testing tools 
- Data modeling tools","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""30575670""]","[""Taught by Meta Experts""]",INTERMEDIATE,Advanced Data Modeling,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cd/ac50907ade43f0a103815341f9f192/DBA6.png,"[""en""]","[""gFlwf79AEey5fg5A0od4Mw""]",advanced-data-modeling,[],"4 weeks of study, 3-5 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",O-9W2rS2Eeqd6grv25Fyuw,v2.ondemand,"This course provides you with the skills to optimize your social media marketing efforts. Learn to evaluate and interpret the results of your advertising campaigns. Learn how to assess advertising effectiveness through lift studies and optimize your campaigns with split testing. Understand how advertising effectiveness is measured across platforms and devices, learn how to evaluate the ROI of your marketing, and master how to communicate your social media marketing results to others in the company.  

By the end of this course, you will be able to:
• Analyze dashboards and evaluate ROI from your social media marketing efforts
• Understand different techniques used to optimize marketing campaigns, such as attribution and marketing mix models
• Implement an A/B test to optimize your campaign
• Present and communicate the results of your campaign to a team

This course is for people who want to learn how to analyze their campaign marketing results, optimize their campaigns, and effectively communicate findings to their teams. Learners don't need marketing experience but should have basic internet navigation skills and be eager to participate and connect on social media. Having a Facebook or Instagram account helps, and ideally, learners have already completed the four previous courses in this program.

This course will be followed by the Meta Social Media Marketing Capstone course, the final course of this certification, in which learners will take the Digital Marketing Associate Certification Exam and complete a Capstone project to receive their Meta Social Media Marketing Professional Certificate.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""44053421""]","[""Anke Audenaert""]",BEGINNER,Measure and Optimize Social Media Marketing Campaigns,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3f/73d6c664ea4293a42df330dc585710/Measure-and-Optimize-Social-Media-Marketing-Campaigns_1.png,"[""en""]","[""child~Q3N4tji8EeuArBIb7wedmw""]",measure-and-optimize-social-media-marketing-campaigns,[],"4 weeks of study, 5-6 hours/week",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",70DCZBoqEeyZ9BL8TB78QQ,v2.ondemand,"This course provides a practical understanding and framework for basic analytics tasks, including data extraction, cleaning, manipulation, and analysis. It introduces the OSEMN cycle for managing analytics projects and you'll examine real-world examples of how companies use data insights to improve decision-making.

By the end of this course you will be able to:
• Formulate business goals, KPIs and associated metrics
• Apply a data analysis process using the OSEMN framework
• Identify and define the relevant data to be collected for marketing
• Compare and contrast various data formats and their applications across different scenarios
• Identify data gaps and articulate the strengths and weaknesses of collected data

You don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate. Ideally you have already completed course 1: Marketing Analytics Foundation in this program.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""44053421""]","[""Anke Audenaert""]",BEGINNER,Introduction to Data Analytics,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/08/def58e1d5746108f2b295082809e2e/MA_Course2_Logo.png,"[""en""]","[""5k8XWuYWQb-y5-3Tbls4sA"", ""child~SqcZEdZmTVysuQCd1FTevQ""]",data-analytics-introduction,[],"4 weeks of study, 5-6 hours/week",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert""]",_CcjZWVdEeyQuAqyaULE4w,v2.ondemand,"Ce cours pose les bases du marketing des réseaux sociaux. Vous apprendrez ce que le marketing des réseaux sociaux implique, y compris son histoire et les différents canaux de réseaux sociaux qui existent. Vous apprendrez à sélectionner un canal de réseau social qui répond à vos besoins, à définir des objectifs et des indicateurs de réussite et à déterminer qui est votre public cible.

À la fin de ce cours, vous serez capable de :
• Comprendre le paysage du marketing traditionnel, numérique et des réseaux sociaux
• Comprendre comment devenir certifié comme Digital Marketing Associate 
• Comprendre les principales plateformes de réseaux sociaux, leur fonctionnement et le rôle qu’elles jouent dans le marketing
• Créer des objectifs SMART et identifier les ICP
• Définir votre public cible et son parcours client
• Choisir les bonnes plateformes de réseaux sociaux et apprendre à créer des politiques en matière de réseaux sociaux

Quel que soit le niveau de connaissances avec lequel vous commencez, ce cours vous aidera à bâtir une base solide en marketing des réseaux sociaux et à acquérir les compétences nécessaires qui vous permettront de rendre vos efforts de marketing des réseaux sociaux plus efficaces et plus visibles.

Il n’est pas nécessaire d’avoir une expérience en marketing, mais vous devez posséder les compétences de base en matière de navigation sur Internet et être désireux de participer et de communiquer sur les réseaux sociaux.  Vous devez avoir un compte Facebook et un compte Instagram.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""44053421""]","[""Anke Audenaert""]",BEGINNER,Introduction au Marketing des réseaux sociaux,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/84/89d1ab5ac1480e8a52d65e43e19bc1/Course1-logo.png,"[""fr""]",[],social-media-marketing-introduction-fr,[],"5 semaines d’études, 5-6 heures/semaine",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",K8T2nhQAEfGMqxJXqQYYkQ,v2.ondemand,"This course introduces data-driven community management, teaching you how to measure community performance, interpret insights, and make informed decisions that improve engagement and alignment with organizational goals. It breaks down analytics into practical, approachable concepts, showing how metrics, benchmarks, and trends reveal what’s working and where to adjust. You’ll learn how to track engagement, growth, retention, and sentiment using native Meta  tools. You'll then translate data into clear reports, and connect insights to content, moderation, and strategy decisions. The course also introduces AI-supported analytics, including personalization and forecasting, to help you work more efficiently while maintaining human judgment. By the end of the course, you’ll be equipped to confidently use data to guide community strategy and demonstrate community impact.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""30575670""]","[""Taught by Meta Experts""]",BEGINNER,Data-Driven Community Management,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d0/9c39d353b54925aa7b70f783e59e10/C3.1-Logo.png,"[""en""]","[""g4Vx7CUjSjCMkM6zJsuftg""]",data-driven-community-management,[],"4 weeks, 5-6 hours per week",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",7ywCCu4QEe6ttAr_4F1oww,v2.ondemand,"This course explores the basics of data management. You will learn the role that data plays in making decisions and the standard methods of data collection and quality management. You will gain an understanding of data storage systems and data storage architecture. You will examine the fundamentals of data privacy and compliance, as well as the basics of machine learning.

By the end of this course, you will be able to:
• Describe the fundamentals of data collection and data quality management
• Explain data storage solutions and architectures, including big data management
• Define data security, privacy and governance principles

This course is for learners who want to gain foundational knowledge of data management.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""115843034""]","[""Brandon Larkin""]",BEGINNER,Introduction to Data Management,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/55/bb688a6a864cef919a75c676277857/Introduction-to-Data-Management_Logo-1-.png,"[""en""]","[""5k8XWuYWQb-y5-3Tbls4sA""]",introduction-to-data-management,[],"4 weeks of study, 5-6 hours/week",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",OVECvNA_EeyidwpgqoGYxw,v2.ondemand,"In this capstone course, you’ll demonstrate your proficiency in your new skill set by creating a native iOS app. 

At this point in the program, you've gained all the skills you need to successfully complete this project.  But you might need to refresh your memory when it comes to the previous courses in the program. For that reason, each module in this course will take you through a brief recap of relevant content from previous courses in the program. And don't worry, there will be links too so you can review content in more detail if necessary. In this way, you will be guided through the process of building the Little Lemon app which allows you to show off your new development skills.
 
This course is ideal for intermediate learners who would like to prepare themselves for a career in iOS development. On completion of the capstone project, you’ll have an interactive mobile application that you can share with recruiters and impress potential employers with.
 
To complete this course, you will need experience in iOS and a good understanding of the Swift programming language.  Additionally, it always helps to have a can-do attitude!

 
By the end of this course, you’ll be able to: 
 
-Build a native iOS mobile app 
-Publish and sell it on the Apple Store","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",INTERMEDIATE,iOS App Capstone,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/60/15fd5af96a48e09915e5871124951e/iOS-dev8-1-.jpg,"[""en""]","[""child~Ma1Vgm87Ee2u3RLatl4oDw""]",ios-app-capstone,[],"3 weeks of study, 1.5 - 3 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",XL6AN7S1EeqIOhJUGQdzsQ,v2.ondemand,"This course will establish you as an expert in Meta Ads Manager. Learn how to structure campaigns in Ads Manager by selecting ad objectives, target audience, budget, and placement that fit your unique goals. Learn to create and manage ads across Facebook and Instagram and evaluate and optimize the results of your Ads Manager campaigns.  You will end the course by creating an actual ad campaign in Ads Manager to expand not only your knowledge, but your social media marketing portfolio. 
 
By the end of this course, you will be able to:
• Structure campaigns in Meta Ads Manager
• Identify the major components and elements of an ad in Meta Ads Manager
• Build an ad that aligns with your marketing objectives and target it to your intended audience
• Set a budget, placement, and schedule for your ads in Meta Ads Manager
• Edit and troubleshoot your ads in Meta Ads Manager
 
This course is intended for people who want to learn how to use Meta Ads Manager to create, manage and optimize campaigns on Facebook and Instagram. Learners don't need marketing experience, but they have basic internet navigation skills and are eager to participate and connect in social media.  

Learners must have a Facebook account and an Instagram account helps. Ideally, learners have already completed the four previous courses in this program.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""58996683""]","[""Daniel Kob""]",BEGINNER,Advertising with Meta,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1f/cbec33d6dc450bbb93112f26165cdd/Advertising-with-Meta_1.png,"[""en""]","[""child~Q3N4tji8EeuArBIb7wedmw""]",advertising-with-facebook,[],"5 weeks of study, 5-6 hours/week",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",LqzAgMcqEeyduw6ktL3Xvw,v2.ondemand,"The Capstone project enables you to demonstrate multiple skills from the Certificate by solving an authentic real-world problem. Each module includes a brief recap of, and links to, content that you have covered in previous courses in this program. 

This course will test your knowledge and understanding, and provide you with a platform to show off your new abilities in front-end web development using React. During this course, you will be guided through the process of building an app, combining all the skills and technologies you've learned throughout this program to solve the problem at hand. 

On completion of the Capstone project, you’ll have a job-ready portfolio that you can show to recruiters, demonstrate during interviews and impress potential employers.

To complete this course, you will need front-end developer experience.  Additionally, it always helps to have a can-do attitude!","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",INTERMEDIATE,Front-End Developer Capstone ,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6b/22232c9d5e41b4ad9f4db644e88467/front-end-dev8.png,"[""en""]","[""KPSzVL9AEeyfhAreTccY9Q""]",meta-front-end-developer-capstone,[],"4 weeks of study, 3-5 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",kaSGSTNjEeyTERK47a9PLQ,v2.capstone,"This course helps you prepare for the Meta Marketing Science Certification exam. You’ll be guided through scheduling and taking the exam through Meta Blueprint. You’ll get access to the study guide and other resources to help you prepare for the exam. 

This course is only accessible to learners who have successfully completed Course 1: Marketing Analytics Foundation, Course 2: Introduction to Data Analytics, Course 3: Data Analysis with Spreadsheets and SQL, Course 4: Python Data Analytics, Course 5: Statistics for Marketing, Course 6: Data Analytics for Marketing and Course 7: Marketing Analytics with Meta in this program.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""44053421""]","[""Anke Audenaert""]",BEGINNER,Meta Marketing Science Certification Exam,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/41/cc9485ea714d179fbdc86885357386/MA_Course6_Logo.png,"[""en""]","[""child~SqcZEdZmTVysuQCd1FTevQ""]",meta-marketing-science-certification,[],2 weeks of study/2-3 hours per week,d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",0BGCkdBCEeyDjw4-lQuHnw,v2.ondemand,"This course enables you to demonstrate multiple skills from this program by solving an authentic real-world problem. Each module includes a brief recap of, and links to, content that you have covered in previous courses in this program. The course Capstone project will test your knowledge and understanding in mobile development using React Native. 

To complete this course, you will need React Native experience.  

During this course, you will be guided through the process of building an app, combining all the skills and technologies you've learned throughout this program to solve the problem at hand. 

By the end of this course, you will be able to demonstrate the following skills:
 - Set up a development environment for working on a React Native project
 - Set up a remote GitHub repository to which you can commit local project changes
 - Apply UX and UI principles to guide creation of a wireframe and prototype for your app
 - Develop screens for a React Native app featuring various components and interactive elements
 - Design an onboarding process for welcoming new users to your app
 - Set up a navigation flow to enable users to move between screens in your app
 - Fetch data from a remote server and store it in a database, and then render it in your app
 - Implement data filtering functionality to enable users to customize information
 - Evaluate the work of your peers and provide informed and constructive feedback

On completion of the Capstone project, you’ll have a job-ready portfolio that you can show to recruiters, demonstrate during interviews and impress potential employers.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",INTERMEDIATE,Capstone (React App),"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c6/85ff40a5f242fc8b5017b1b98be96b/c10-logo.png,"[""en""]","[""child~mvYSmYAgEe2bzg4SCBDeqw""]",capstone-react-app,[],"3 weeks of study, 1.5 - 3 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",x-hi8ARvEe21Qg76AlMoeQ,v2.ondemand,"At the heart of any remarkable iOS applies a thorough understanding of the Swift programming language. Embark on a journey to expand your knowledge and skillset with Advanced Programming in Swift. Discover Swift’s advanced custom data types, explore code organization best practices, tap into error handling to improve your program’s performance, and foster an understanding of programming the functional way with higher-order functions like map, filter and reduce. Then, to further understand the inner workings of successful app development, learn how to implement unit tests to ensure that your applications function as intended.

By the end of this course, you will practice creating the functionality you often encounter in apps with large lists of items. You’ll implement advanced programming concepts including higher-order functions to process collections and build your own list in Xcode.

Upon completion of this course, you will be able to:
•	Create custom data types including enumerations and sets.
•	Organize and optimize your code by using subclassing and inheritance, typecasting and polymorphism.
•	Discover how to set restrictions in your code using access control.
•	Create blueprints for your code with optional and required protocols.
•	Give control and pass responsibilities from one instance to another with delegation.
•	Employ appropriate error handling approaches, implement throwable functions and catch errors.
•	Describe what recursion is and identify common use cases.
•	Implement higher-order functions like map, filter and reduce.
•	Ensure your applications perform as expected by implementing unit tests.

This course is ideal for intermediate learners who would like to prepare themselves for a career in iOS development. To succeed in this course, you need a foundational understanding of the programming fundamentals of Swift and SwiftUI.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""30575670""]","[""Taught by Meta Experts""]",INTERMEDIATE,Advanced Programming in Swift,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/eb/d6d6f2ece543dba1646f7f65d644d4/iOS-dev4.png,"[""en""]","[""5QIXWq1JT7GvWhyg_KQdRg"", ""child~Ma1Vgm87Ee2u3RLatl4oDw""]",advanced-programming-in-swift,[],"4 weeks of study, 6-8 hours/week.",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",kERdj6m4Ee6wGxK96EWoDQ,v2.capstone,"This course helps you prepare for the Meta Marketing Science Certification exam. You’ll be guided through scheduling and taking the exam through Meta Blueprint. You’ll get access to the study guide and other resources to help you prepare for the exam. 

This course is only accessible to learners who have successfully completed Course 1: Marketing Analytics Foundation, Course 2: Statistics for Marketing, Course 3: Data Analytics for Marketing and Course 4: Marketing Analytics with Meta in this program.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""44053421""]","[""Anke Audenaert""]",INTERMEDIATE,Prepare for the Meta Marketing Science Certification Exam,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8a/159b1a6b564971a1e82bebdf05fe06/MA_Course6_Logo.png,"[""en""]","[""JjwjXcwISfWWEp208-8XUw""]",prepare-for-the-meta-marketing-science-certification-exam,[],2 weeks of study/2-3 hours per week,d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert""]",kCVhhDrnEe-9Ig7qA4dB5w,v2.ondemand,"In this short course, you learn what generative AI is and how it functions. You also discover how GenAI can be applied in different business scenarios as well as navigating the concerns around its usage. Then you explore how to incorporate GenAI into your data analytics efforts to streamline processes and improve data quality.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""44053421""]","[""Anke Audenaert""]",BEGINNER,GenAI in Data Analytics,"[""641""]",http://coursera-university-assets.s3.amazonaws.com/dd/9d81501fcf46f7981257ec9f7f5a0a/Metalogo_transparent.png,"[""Meta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/75/200b86c5e24cbbaf4b167c385afb57/GenAI-in-Data-Analytics_Logo.png,"[""en""]",[],genai-in-data-analytics,[],"1 week of study, 3-4 hours",d8HMhEQS8SVEMFlln,OvhfafZqaxEKDqr9c
[],"[""VerifiedCert"", ""Specialization""]",sI_-QEBiEemtDRLx7Ne8jg,v2.ondemand,"The Unordered Data Structures course covers the data structures and algorithms needed to implement hash tables, disjoint sets and graphs. These fundamental data structures are useful for unordered data. For example, a hash table provides immediate access to data indexed by an arbitrary key value, that could be a number (such as a memory address for cached memory), a URL (such as for a web cache) or a dictionary. Graphs are used to represent relationships between items, and this course covers several different data structures for representing graphs and several different algorithms for traversing graphs, including finding the shortest route from one node to another node. These graph algorithms will also depend on another concept called disjoint sets, so this course will also cover its data structure and associated algorithms.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""4327824""]","[""Wade Fagen-Ulmschneider""]",,Unordered Data Structures,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c3/af0d2d2c184f819a920187eafc9563/CS400_Logo_B.jpg,"[""en""]","[""LODdXambEem2zg65nJJ_6A""]",cs-fundamentals-3,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert""]",xpDmwnYyEeyrDAqvINCGXQ,v2.ondemand,في هذه الدورة التدريبية، ستكتسب فهمًا عميقًا لأهمية الأخلاقيات ودورها داخل المؤسسة وخارجها، كما ستتعرّف على مزايا وتحديات تنوُّع الثقافات وتعدُّد وتغيُّر وجهات النظر العالمية. وستساعدك مهارات الأعمال المهنية المرتبطة بالأخلاقيات والثقافة ووجهات النظر العالمية المُكتسَبة خلال هذه الدورة التدريبية في تحقيق النجاح عند العمل بأي مؤسسة.,"[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""94734459""]","[""Gies College of Business, University of Illinois""]",BEGINNER,الأخلاقيات والثقافة ووجهات النظر العالمية,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/54/d20400e4184956a6b191adca19b543/Gies-Square-Logo-from-MarCom.jpg,"[""ar""]",[],ethics-culture-and-global-perspectives-ar,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert""]",d5CWKvhvEeSBSSIAC7JSBQ,v2.ondemand,"You should complete the VLSI CAD Part I: Logic course before beginning this course.

A modern VLSI chip is a remarkably complex beast:  billions of transistors, millions of logic gates deployed for computation and control, big blocks of memory, embedded blocks of pre-designed functions designed by third parties (called “intellectual property” or IP blocks).  How do people manage to design these complicated chips?  Answer:  a sequence of computer aided design (CAD) tools takes an abstract description of the chip, and refines it step-wise to a final design. This class focuses on the major design tools used in the creation of an Application Specific Integrated Circuit (ASIC) or System on Chip (SoC) design.  Our focus in this part of the course is on the key logical and geometric representations that make it possible to map from logic to layout, and in particular, to place, route, and evaluate the timing of large logic networks. Our goal is for students to understand how the tools themselves work, at the level of their fundamental algorithms and data structures. Topics covered will include: technology mapping, timing analysis, and ASIC placement and routing.

Recommended Background:
Programming experience (C, C++, Java, Python, etc.) and basic knowledge of data structures and algorithms (especially recursive algorithms).  An understanding of basic digital design:  Boolean algebra, Kmaps, gates and flip flops, finite state machine design.  Linear algebra and calculus at the level of a junior or senior in engineering.  Elementary knowledge of RC linear circuits (at the level of an introductory physics class).","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""887472""]","[""Rob A. Rutenbar""]",INTERMEDIATE,VLSI CAD Part II: Layout,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/86/666d339fc14df589170a7fc79a7d39/large-icon-attr.png,"[""en""]",[],vlsi-cad-layout,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert""]",JlKWCXH0Ee-Quwr_1ABTmQ,v2.ondemand,"This course provides a comprehensive understanding of sustainability reporting and ESG (Environmental, Social, and Governance) practices. It emphasizes the integration of sustainability within business operations and effective communication through structured narratives, visual tools, and textual clarity to engage stakeholders and enhance corporate transparency. Participants will learn to navigate ESG ratings, optimize sustainability initiatives, and apply best practices in reporting to improve corporate reputation and investor confidence.

Upon successful completion of this course, you will be able to:
•	Examine various perspectives on ESG issues, including consumer, investor, and business-to-business, and understand the financial implications and benefits of investing in ESG, as well as the role and methodologies of ESG rating agencies.
•	Understand key regulatory frameworks and directives related to sustainability and ESG reporting in the USA and Europe, grasp SASB/GRI materiality concepts, and assess the value of assurance in ESG reporting.
•	Apply tools and methods for comparative analysis of sustainability reporting, identify best practices from leading companies, and recognize and address greenwashing practices and gaps in sustainability reporting.
•	Map and integrate internal sustainability activities within business processes, collect and manage sustainability data effectively using appropriate tools, and create impactful visualizations to communicate sustainability performance.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}]","[""31660351"", ""37568086""]","[""Mark E. Peecher, PhD, CPA"", ""Fei Du, PhD""]",INTERMEDIATE,Sustainability Reporting: From Regulation to Implementation,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5c/53fae7b60445b4a614fdc029b41cce/GIES_Icon_B.png,"[""en""]",[],sustainability-reporting-from-regulation-to-implementation,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",nW1dUu13Eea2mxLTB28_VA,v2.ondemand,"You may have noticed that what is new often behaves differently than what has become accepted over time whether it is in a market, technology, or with people and firms. This course helps you develop a perspective on managing innovation. That is, you will build your capability to lead and design your organization in effectively implementing innovation initiatives and achieving their strategic intent. 

To do this, you will learn a set of frameworks, tools, and concepts that can help you address several important challenges in managing innovation. The first challenge is in regards to how to successfully implement innovation efforts within established firms and alongside established businesses. You then investigate the particulars of managing innovation when disruptive technologies are involved. Other topics include leadership of new product development teams, planning and evaluation of innovation initiatives, and management of innovation across organizational boundaries, as happens with alliances or virtual firms.

You will be able to:

-	Analyze innovations and their impact on organizations
-	Articulate a research-informed perspective on innovation
-	Utilize frameworks, tools, and concepts to address challenges that arise in innovation

This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""26864992""]","[""E. Geoffrey Love""]",BEGINNER,Strategic Innovation: Managing Innovation Initiatives,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/24/97de1ed58b48599f61707d710153ff/GIES_Icon_B.png,"[""en""]","[""0yyhGcxvTXiQkcaGHm1PIA"", ""child~XBXEz2D0TtCTQRwxtI0UWg""]",strategic-innovation-innovation-at-the-frontier,[],"3-4 hours a week of study, including watching videos, doing the readings, and completing assessment",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert""]",5aTJVUhVEeWJHwqqqPAooQ,v2.ondemand,"The foundation for this course lies with unique synergies between pioneering research, teaching, and social initiatives through the Subsistence Marketplaces Initiative. Unique to this approach is a bottom-up understanding of the intersection of poverty and the marketplace.

The goals of this course are to help you develop an understanding of marketplace activity in the radically different context of subsistence where much of humanity resides and survives, and for you to design solutions that can be implemented by individuals, businesses, and social enterprises through economically, ecologically, and socially sustainable products for subsistence marketplaces.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""4061619""]","[""Madhu Viswanathan""]",BEGINNER,Subsistence Marketplaces,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d0/b1a007bf41407782bdd4e38b7ebfd0/GIES_Icon_B.png,"[""en""]",[],subsistence-marketplaces,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",w6WbWj15Eey2HhKRvGWgpQ,v2.ondemand,"The purpose of this course is to provide you with an understanding of central bank policies and how such policies affect financial markets and the economy. The main aim of this course is to provide you with insights about the macroeconomic relationships between interest rates, inflation, and unemployment that allow you to assess central bank actions and appreciate how this action will affect the economy. The ability to extract relevant information from financial market and economic data about the macroeconomic environment and central bank actions is an important skill that will be useful for your decision-marking in your professional career and your personal financial choices.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""82364205""]","[""Ralf Meisenzahl""]",INTERMEDIATE,Central Banks and Monetary Policy,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c4/4e696de2bf47bfb847543d5cfbd73d/Gies_Coursera-icon.png,"[""en""]","[""child~oZASWq4-TeOf4TJjTYkL6w""]",central-banks-monetary-policies,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert""]",-CXas9YJEeiCPwpF46-ztg,v2.ondemand,"Accountants perform a wide variety of activities which include, but are not limited to, accounting, auditing, tax, management consulting, and financial management.  However, a professional accountant’s responsibility is not exclusively to satisfy the needs of an employer or professional services client.  One of the distinguishing characteristics of the accounting profession is its acceptance of the responsibility to act in the public interest. 

This course will introduce you to professional guidance that enables accountants to uphold the obligation to act in the public interest while meeting their professional responsibilities to employers and clients.  You will also learn foundational knowledge of the moral dimensions of business that are helpful for recognizing and interpreting the ethical issues embedded in situations you will encounter in your career.  Topics in the course include professional standards, values and norms, ethical theories, theories of a firm and business purpose, and corporate governance.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""28515913""]","[""Susan Curtis""]",BEGINNER,Professional Responsibility and Ethics for Accountants,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/50/682902be3a4b5e81bf35de87621368/Gies_Coursera-icon.png,"[""en""]",[],ethics,[],"4 weeks of study, 3-4 hours/week",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",YNmpTktXEe-xZA5vzJyFBw,v2.ondemand,"Learners will obtain foundational knowledge and insights to begin to identify potential targets for innovation in healthcare. This course provides an overview of the healthcare ecosystem, which is comprised of diverse stakeholders, including hospitals and non-hospital entities within various healthcare value chains. The course will also introduce the healthcare innovation process and value creation. Emphasis is placed on key concepts and principles essential for efficiently designing and managing healthcare delivery systems.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""research""}]","[""36405323""]","[""Sridhar Seshadri""]",BEGINNER,Understanding the Healthcare Ecosystem,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2e/59d988953a49499ffd808fe983d7c3/Gies_Coursera-icon.png,"[""en""]","[""DffAi32JRCWZ0Q18w2O-rQ""]",understanding-healthcare-ecosystem,[],4–7 hours/week for 4 weeks,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",9LVz3HXtEeaisA57vr8X4Q,v2.ondemand,"Starting in the late 1990s, “globalization” became a buzzword to describe the apparent integration of markets in the world economy. Many authors and pundits claimed that the world was converging towards a market-friendly democratic place, while gurus and consulting firms were rapidly producing formulae and advice on how to make profits out of the global economy. Decades later, new realities show that globalization does not necessarily mean political, cultural, and economic convergence and that, in fact, forces against it are strong.  

This course seeks to help you understand the forces of globalization and how cross-cultural management and the relationship of a multinational organization to various host countries is becoming more and more critical in today’s global economy. This course begins with the discussion of these issues and global relationships and delves into a deeper understanding of business strategy in today’s global business marketplace. 

You will be able to: 

• Understand how we got to the present moment of globalization and why it matters 
• Understand the complexities of the current globalization, recognizing not all countries are the same
• Evaluate the effects of international trade regulations on international business 
• Evaluate when and why companies  operate as multinationals

This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""22102454""]","[""Marcelo Bucheli""]",BEGINNER,Global Strategy I: How The Global Economy Works,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ee/0daa06664f4a50b48e0fe688652c3a/GIES_Icon_B.png,"[""en""]","[""ZhfpwaYNRl6KFoOXKUiB4g"", ""child~Exj3-7n7SMay0TdOLfP92A""]",global-strategy,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",GmLOTktZEe-SdxJ_Axw1wQ,v2.ondemand,"Innovating in healthcare requires more than just a great idea—it demands a deep understanding of market needs, cost-effectiveness, and regulatory challenges. This course takes you through the full healthcare innovation process, from identifying critical gaps in care to developing and evaluating new products and processes. Through real-world case studies and practical insights, you’ll explore how to balance cost, quality, and usability while integrating technology trends and user feedback. You’ll also gain key skills in market analysis, demand forecasting, financial assessment, and stakeholder engagement—essential tools for turning healthcare innovations into viable solutions. Whether you're a healthcare professional, entrepreneur, or business leader, this course will equip you with the strategic mindset to drive impactful change in the industry.","[{""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}]","[""33497999""]","[""Ujjal Kumar Mukherjee""]",INTERMEDIATE,Understanding the Healthcare Innovation Process I,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2e/59d988953a49499ffd808fe983d7c3/Gies_Coursera-icon.png,"[""en""]","[""DffAi32JRCWZ0Q18w2O-rQ""]",healthcare-innovation-process,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",3mYHbQqBEey5zQ4LqE3elQ,v2.ondemand,"The objective of this course is to provide you with the knowledge and skills necessary to analyze, interpret, understand and use financial information to make informed decisions.  We will discuss financial reporting from a user’s perspective, use a variety of tools to break apart financial reports into meaningful units for analysis, forecast financial statements, and value a firm.  This course is intended to give you exposure to the issues facing users of financial statements. You will better understand your role in the financial reporting process if you know how the financial statements will ultimately be used.

Beyond the Financials: Insights, Analysis and Valuations will require you to think critically about issues for which there can be more than one “correct” answer.  Hence, your analysis and conclusions must be based on sound assumptions and well-constructed analysis and arguments.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""79757972"", ""40920037"", ""5957785""]","[""Brian Hamm"", ""Nerissa C. Brown, PhD, CFE"", ""W. Brooke Elliott""]",INTERMEDIATE,"Beyond the Financials: Insights, Analysis and Valuations","[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2a/16da73bf894bb6830b13b37941e06d/Gies_Coursera-icon.png,"[""en""]","[""I97P7SYSQwmnO5wYNZ7ZxA""]",beyond-financials-insights-analysis-valuations,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",cIU8oaTGEei1igqyy64WCg,v2.ondemand,"This course, Learning Technologies Foundations and Applications, is one of the two four-week MOOC courses that form part of Instructional Design MasterTrack Certificate. 
After completing the course, you will be able to:
1.	Identify suitable learning technology applications for problem-solving tasks.
2.	Evaluate learning technology solutions based on Cognitive Load Theory and related multimedia learning design models.
3.	Justify the selection of learning technologies for solving organizational problems based on evidence and best practices.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""32399603""]","[""Wenhao David Huang""]",BEGINNER,Learning Technologies Foundations and Applications,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7e/ab4ed569904129bd71fe883155806e/Screenshot-2025-02-19-at-3.57.19-PM.png,"[""en""]","[""So3ARNgYQjuWXe53uR4v4w""]",learning-technologies-foundations-applications,[],2-5 hours/week,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",IUHc0inGEeuSLA4bQRe5jw,v2.ondemand,"In today’s competitive environment, learning to manage projects effectively is a critical skill. This course will focus on initiating and planning projects. The course will cover the more traditional linear process, such as the waterfall approach, as well as the dynamic, iterative approaches of agile and hybrid models, so learners can decide when one approach is more suitable for their projects to maximize the chances of a successful outcome. The course will also help you understand how AI is used in project management to support faster and better decision-making, and explore practical applications of AI chatbots in project initiation and planning.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""124377655""]","[""Ismail Kirci, Ph.D., PMP""]",BEGINNER,Project Initiation and Planning,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/09/6062443ba245829c0636c2ee2a7572/GIES_Icon_B.png,"[""en""]","[""_JNR7JitEey4Fw6cQWvEVw""]",project-initiation-planning,[],"4 weeks of study, 8-10 hours/week",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",YO9_vwpyEeun9Q5tylnU9Q,v2.ondemand,"This course covers deep learning (DL) methods, healthcare data and applications using DL methods. The courses include activities such as video lectures, self guided programming labs, homework assignments (both written and programming), and a large project.

The first phase of the course will include video lectures on different DL and health applications topics, self-guided labs and multiple homework assignments. In this phase, you will build up your knowledge and experience in developing practical deep learning models on healthcare data. The second phase of the course will be a large project that can lead to a technical report and functioning demo of the deep learning models for addressing some specific healthcare problems. We expect the best projects can potentially lead to scientific publications.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""49374407""]","[""Jimeng Sun""]",ADVANCED,Advanced Deep Learning Methods for Healthcare,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/08/c9be449b504220953ade38c350965b/Screen-Shot-2020-08-14-at-11.11.18-AM.png,"[""en""]","[""pn-KOF3bEeykngrRUF5Grw""]",advanced-deep-learning-methods-healthcare,[],"This course is designed for 4 weeks, but it can be stretched out by the learner as needed.",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",dCN9UQMpEe-SXg6EFTZuww,v2.ondemand,"In this course, we will discuss market failures. A market failure is a situation when the market does not do a good job of distributing resources among members of society. In fact, in all of these cases the market is the problem.","[{""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""884324""]","[""Dr. José J. Vázquez-Cognet""]",BEGINNER,"Public Goods, Common Resources, and Externalities","[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera.s3.amazonaws.com/topics/microecon/large-icon.png,"[""en""]","[""jOsQN9XgRF-KuQ1XGbUYPw""]",public-goods-common-resources-and-externalities,[],Customizable based on your level of interest,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",jq3NGKJ7EeWM5RIHOLu8Dw,v2.capstone,"The capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.

This course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""16532853""]","[""Jeff Flesher""]",BEGINNER,Strategic Leadership and Management Capstone,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/01/a8d95fe6864741a358ea655ee7e3ed/GIES_Icon_B.png,"[""en""]","[""yEVwdp0mEeW7xQ6l-xJMQQ""]",strategic-leadership-capstone,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",MWvdwMVpEeeoqQp801tMaA,v2.ondemand,"This class deals with the business law topics that appear on the CPA exam: Agency, Contracts, Debtor-Creditor Relationships, Government Regulation of Business, and Business Organizations. Students will gain an understanding of how these areas of the law affect businesses and their operations, with an eye on preparation for the business law portions of the REG section of the CPA exam. By the end of the class, students will be able to identify the legal principles that govern various business situations and apply those principles to an issue to determine the outcome when the law is applied to the facts of a scenario.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""27185006""]","[""Michael R Fricke""]",INTERMEDIATE,Corporate & Commercial Law I: Contracts & Employment Law,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1f/dc09a0b90b4ebcb104403fa92228cc/GIES_Icon_B.png,"[""en""]",[],corporate-commercial-law-part1,[],6 to 8 hours per week,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",OdQlmynGEeuJ2QrrskyyVw,v2.ondemand,"The focus of this course is on the process of managing projects. After planning is done, we need to know how to successfully execute the plan and deliver within the allocated timeframe and cost. This course will focus on how execution and progress evaluation are performed in a waterfall approach, as well as the agile approach to project management.  The goal is to learn the tools and techniques offered by both approaches and empower project managers to use what works for a given project. This course will also help you apply artificial intelligence to support project managers during the project execution and control phases.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""124377655""]","[""Ismail Kirci, Ph.D., PMP""]",BEGINNER,Project Execution and Control,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/dc/02bbb63580403aa983054eb360c7f5/GIES_Icon_B.png,"[""en""]","[""_JNR7JitEey4Fw6cQWvEVw""]",project-execution-control,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",SPXfEJz9EeWILQ7D3uPEMw,v2.ondemand,"This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes.  To this end, the course aims to cover statistical ideas that apply to managers by discussing two basic themes: first, is recognizing and describing variations present in everything around us, and then modeling and making decisions in the presence of these variations. The fundamental concepts studied in this course will reappear in many other classes and business settings. Our focus will be on interpreting the meaning of the results in a business and managerial setting.

While you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through use of Excel and using data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts but also understanding the meaning of the results obtained. 

You will be able to: 

• Test for beliefs about a population
• Compare differences between populations
• Use linear regression model for prediction
• Use Excel for statistical analysis

This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""12639351""]","[""Fataneh Taghaboni-Dutta, Ph.D., PMP, CSM, CSPO""]",INTERMEDIATE,Inferential and Predictive Statistics for Business,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0d/747064a4e043939a17b7fa7e9b4c0a/GIES_Icon_B.png,"[""en""]","[""child~oZASWq4-TeOf4TJjTYkL6w""]",business-statistics,[],"4 weeks of study, 2-4 hours/week",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",UwQkL5z8EeWJORITtzkPnQ,v2.ondemand,"In markets, prices act as rationing devices, encouraging or discouraging production and consumption to find an equilibrium. In this course, you will learn to construct demand curves to capture consumer behavior and supply curves to capture producer behavior. The resulting equilibrium price “rations” the scarce commodity. Additionally, the course examines the ways in which markets are subject government intervention and the impacts of these interventions.
You will be able to: 
• Explain how different market structures result in different resource allocations
• Model the impact of external shocks to a particular market structure and demonstrate the new equilibrium price and quantity after the impact of this external shock has played out
• Evaluate the efficiency of an equilibrium
 • Explain when and why the government might intervene with regulatory authority or antitrust litigation to lessen inefficiencies in some markets
• Describe how information problems can cause inefficient outcomes
• Understand externalities and consider optimal government response to these market failures

This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""16631679""]","[""Larry DeBrock""]",INTERMEDIATE,Firm Level Economics: Markets and Allocations,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/27/6139eb25364a8db5020761625a8e8e/GIES_Icon_B.png,"[""en""]","[""child~oZASWq4-TeOf4TJjTYkL6w""]",firm-level-economics-markets,[],"4 weeks of study, 3-5 hours/week",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",S5-h8gMpEe-knBIDDnXmpw,v2.ondemand,"Most people make the incorrect assumption that economics is ONLY the study of money. My primary goal in this course is to shatter this belief. During this course, we will be addressing the above questions as well as many more relating to:

-the environment
-love and marriage
-crime
-labor markets
-education
-politics
-sports
-business

My main goal is to show you the way economists think and how to use this analytical system to answer questions related not only to these and other important human issues but to anything you end up doing with your life after this class. After all, as you will quickly find out, I believe that everything is economics!","[{""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""884324""]","[""Dr. José J. Vázquez-Cognet""]",BEGINNER,"Market Equilibrium, Government Policy & Elasticity","[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera.s3.amazonaws.com/topics/microecon/large-icon.png,"[""en""]","[""jOsQN9XgRF-KuQ1XGbUYPw""]",market-equilibrium-government-policies-and-elasticity,[],Customizable based on your level of interest,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",KinX8iwGEeaA3A6P4rV07Q,v2.ondemand,"In this course, you will explore advanced topics in financial accounting. You will start your journey with accounting for assets with more than a 1-year life. You will learn in detail how firms account for fixed assets. You will then move on to the financing of assets and discuss accounting for liabilities. The course will continue with an in-depth exploration of shareholders’ equity. Finally, you will critically evaluate the preparation, components, and analysis of the cash flows statement.  

Upon successful completion of this course, you will be able to
•    account for fixed assets,
•    understand accounting for liabilities,
•    evaluate shareholders’ equity section of a balance sheet, and
•    understand preparation and information provided by cash flows statement.

This course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""19198012""]","[""Oktay Urcan""]",INTERMEDIATE,Financial Accounting: Advanced Topics,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2a/d47f6594f74e52b1338ad0f16be52c/GIES_Icon_B.png,"[""en""]","[""MT4VSJi0EeyBmwpnAaIOxQ"", ""_JNR7JitEey4Fw6cQWvEVw"", ""child~YjE9TmhFTmW6J94UybykZA""]",financial-accounting-advanced,[],"4 weeks of study, 4-6 hours/week",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",-RpsW7fLEeS-WiIAC1OKoQ,v2.ondemand,"This course opens with an exploration of the social context and aims of literacy teaching and learning. It goes on to describe a range of historical and contemporary approaches to literacy pedagogy, including didactic, authentic, functional, and critical approaches. The course takes has a 'Multiliteracies' perspective, which aims to expand the definition of literacy to encompass today's multimodal communications, and the diversity of literacies across different social and culltural contexts. A Multiliteracies approach also suggests a broad range of activity types—experiential, conceptual, analytical and critical.

--------------------------------
Recommended Background
--------------------------------

This course is designed for people interested in literacy teaching and learning, including people who may wish to join education as a profession, practicing teachers interested in exploring future directions for a vocation that is currently undergoing transformation, and community and workplace leaders who regard their mission to be in part ""educative.""

--------------------------------
Related Resources
--------------------------------

Online resources are available here:
https://newlearningonline.com

Book:
https://www.amazon.com/Literacies-Mary-Kalantzis/dp/1107578698/ref=sr_1_1?qid=1661288799&refinements=p_27%3ABill+Cope&s=books&sr=1-1&text=Bill+Cope

--------------------------------
Join our Online Communities!
--------------------------------

CGScholar (Create an account and join the New Learning community)
https://cgscholar.com/community/community_profiles/new-learning/community_updates

Facebook
https://www.facebook.com/newlearningonline

Twitter
https://twitter.com/neolearning

--------------------------------
Take this Course for Credit at the University of Illinois
--------------------------------

This course has the same content and anticipates the same level of contribution by students in the Assessment for Learning course offered to graduate certificate, masters, and doctoral level students in the Learning Design and Leadership Program in the College of Education at the University of Illinois.

Of course, in the nature of MOOCs many people will just want to view the videos and casually join some of the discussions. Some people say that these limited kinds of participation offer evidence that MOOCs suffer from low retention rates. Far from it – we say that any level of engagement is good engagement.

On the other hand, if you would like to take this course for credit at the University of Illinois, you will find more information about our program here:
https://ldlprogram.web.illinois.edu/overview/

And you can apply here:
https://education.illinois.edu/epol/programs-degrees/ldl

--------------------------------
The Learning Design and Leadership Series of MOOCs
--------------------------------

This course is one of a series of eight MOOCs created by Bill Cope and Mary Kalantzis for the Learning Design and Leadership program at the University of Illinois. If you find this MOOC helpful, please join us in others!

e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age
https://www.coursera.org/learn/elearning

New Learning: Principles and Patterns of Pedagogy
https://www.coursera.org/learn/newlearning

Assessment for Learning
https://www.coursera.org/learn/assessmentforlearning

Learning, Knowledge, and Human Development 
https://www.coursera.org/learn/learning-knowledge-human-development

Ubiquitous Learning and Instructional Technologies
https://www.coursera.org/learn/ubiquitouslearning

Negotiating Learner Differences: Towards Productive Diversity in Learning
https://www.coursera.org/learn/learnerdifferences

Literacy Teaching and Learning: Aims, Approaches and Pedagogies
https://www.coursera.org/learn/literacy-teaching-learning

Multimodal Literacies: Communication and Learning in the Era of Digital Media
https://www.coursera.org/learn/multimodal-literacies","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""3734792"", ""3726726""]","[""Dr William Cope"", ""Dr Mary Kalantzis""]",BEGINNER,"Literacy Teaching and Learning: Aims, Approaches and Pedagogies","[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a9/1cb6503fd311e787d927eef3674b46/Screen-Shot-2017-05-23-at-11.18.08-AM.png,"[""en""]",[],literacy-teaching-learning,[],"4 weeks of study, 2-4 hours/week",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",RTYEnkomEee4pw7hxA2o1A,v2.ondemand,"This course builds upon what you learned in Financial Accounting: Foundations and Financial Accounting: Advanced Topics and introduces you to formal foundations of financial accounting. The main purpose of the course is to familiarize you with technical terms in financial accounting, such as debit, credit and T-account. While knowledge on technical aspects of financial accounting is not necessary to understand and interpret financial statements, this knowledge is critical to be able to understand advanced topics in accounting. Formal Financial Accounting is a prerequisite course for the University of Illinois' iMSA program and the terminology we will cover will be used throughout the courses in iMSA program.

The University of Illinois at Urbana-Champaign, consistently ranked as one of the nation's top three accounting programs, now offers a master’s in accounting at a very affordable tuition rate and is completely online. The iMSA is a full Master of Accountancy program and students graduate with a highly recognized master degree. Try an open course or two, then apply for admission into the credit-bearing version, as you may be eligible to take credit-bearing courses during the application process. If you are missing any prerequisites for the full degree, you can complete Coursera courses to demonstrate readiness and strengthen your application for the iMSA. For more information on this exciting online master's in accounting program, refer to this link: https://www.coursera.org/university-programs/imsa ","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""19198012""]","[""Oktay Urcan""]",BEGINNER,Formal Financial Accounting,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d0/9ae41f3a034a2ea30a92ba88d15241/GIES_Icon_B.png,"[""en""]",[],formal-financial-accounting,[],3-5 hours/week,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert""]",puZcCyS0Eeusew4XJ-az5w,v2.ondemand,"Dieser Kurs bietet einen analytischen Rahmen zur strukturierten Beurteilung von Schlüsselproblemen und gibt Ihnen Tools an die Hand, mit denen Sie die Unsicherheiten besser in den Griff bekommen, die in Geschäftsprozessen auftreten und diese komplizieren. Sie werden insbesondere in die Statistik eingeführt und in die Art und Weise, wie man Daten zusammenfasst. Sie erfahren etwas über Häufigkeitskonzepte, Normalverteilung, statistische Untersuchungen, Stichproben und Konfidenzintervalle.

Sie werden zwar in einige Gebiete der didaktischen Wissenschaft eingeführt, der Schwerpunkt liegt jedoch auf der Anwendung von Methoden. Dies geschieht mittels Excel und Datensätzen aus vielen verschiedenen Fachrichtungen und ermöglicht Ihnen, etwas über die Anwendung von Statistik in sehr unterschiedlichen Situationen zu lernen. Schwerpunkte des Kurses sind nicht allein die Erklärung dieser Konzepte, sondern ebenfalls das Verständnis der Bedeutung erzielter Resultate.

Wenn Sie diesen Kurs erfolgreich absolviert haben, werden Sie in der Lage sein:

•	umfangreiche Datensätze in grafischer, tabellarischer und numerischer Form zusammenzufassen.
•	zu verstehen, welche Bedeutung ordnungsgemäße Stichprobenverfahren haben und warum Sie sich auf Stichprobendaten verlassen können.
•	zu verstehen, warum Normalverteilung in so vielen Situationen angewandt werden kann.
•	Stichprobeninformationen zu verwenden, um mit einem gewissen Grad an Sicherheit im Hinblick auf die Genauigkeit der Schätzungen Rückschlüsse auf die Population zu ziehen.
•	Excel für statistische Analysen einzusetzen.

Dieser Kurs ist Teil des von der University of Illinois angebotenen iMBA, einem flexiblen, voll anerkannten Online-MBA zu einem unglaublich günstigen Preis. Ausführliche Informationen erhalten Sie auf der Seite „Resources“ in diesem Kurs sowie unter onlinemba.illinois.edu.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""12639351""]","[""Fataneh Taghaboni-Dutta, Ph.D., PMP, CSM, CSPO""]",BEGINNER,Untersuchen und Erstellen von Daten für Unternehmen,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d8/75854299774de397ef0258b40fce94/Gies-Square-Logo-from-MarCom.jpg,"[""de""]",[],business-data-de,[],"4 Kurswochen, 4-6 Stunden/Woche",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",YC48XgMpEe-SXg6EFTZuww,v2.ondemand,"In this course, we will begin covering the theory of the firm. Economists call this ""The Economics of the Lemonade Stand."" And that title makes perfect sense, since the concepts we cover can be used by anyone, from someone owning a lemonade stand, to a car manufacturing company, to a hair salon, to a burrito stand, etc. We will continue our discussion of the firm by focusing on those firms working in a perfectly competitive (or competitive) environment. 

Also, why is it that when you fly, the person sitting next to you in the plane probably paid a different price for the ticket than what you paid for it? And why does Starbucks charge so much for its coffee even though you can buy coffee at Dunkin’ Donuts for almost half of that price? We will finish our discussion of the firm by focusing on cases that should be more familiar to you than the perfect competition examples we have been using.","[{""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""884324""]","[""Dr. José J. Vázquez-Cognet""]",BEGINNER,The Theory of the Firm,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera.s3.amazonaws.com/topics/microecon/large-icon.png,"[""en""]","[""jOsQN9XgRF-KuQ1XGbUYPw""]",production-costs-market-power-competition,[],Customizable based on your level of interest,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",x8UUAPwNEe6mvg738PZ9QQ,v2.ondemand,"In this course, learners will get familiarized with the major components of wetland delineation, including the steps involved and the resources available for remote identification. They will explore the field indicators for hydrology, hydric soils, and vegetation, essential for accurate wetland delineation. The course will cover the best practices for writing wetland delineation reports and the differences between wetland delineation and jurisdictional determination. By the end of the course, learners will have a comprehensive understanding of the processes and indicators used in wetland delineation, enabling them to conduct accurate and effective assessments.

This course is part of the College of ACES suite of online programs, including the graduate-level certificate, ""Wetland Science and Conservation"" that can be stacked toward an online master's degree in Natural Resources and Environmental Sciences. To learn more about online programs from the College of ACES and explore ways to apply your Coursera work toward a degree program at the University of Illinois, visit ACES Online at acesonline.illinois.edu.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""subdomainId"": ""chemistry"", ""domainId"": ""physical-science-and-engineering""}]","[""159804295""]","[""Caitlin Bloomer, Ph.D.""]",INTERMEDIATE,Wetland Delineation Fundamentals,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8a/10359278374f09b1fbbbbdcdb115b1/Wetland-MOOC-2a.png,"[""en""]","[""ApuWYraRRUuyNI9-LfKTsA"", ""dT2f3oE6QD-mqAaq957TZA""]",wetland-delineation-fundamentals,[],"4 weeks of study, 2.5 hours/week",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",LSKyLoqnEeiA2BLnQCAh6g,v2.ondemand,"This course, Instructional Design Foundations, introduces learners to the conceptual and theoretical foundations of instructional design as well as the analysis aspect of instructional systems design in order to create an innovative instructional solution to performance problems in organizations. This particular course also introduces learners to concepts covered in the Instructional Design MasterTrack Certificate.
Upon successful completion of this course, you will be able to:
●Describe the major concepts of instructional systems design 
●Describe the major learning and instructional theories
●Describe the process of instructional design and instructional design models
●Describe various analysis activities for instructional design","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""32400437""]","[""Eunjung Grace Oh""]",,Instructional Design Foundations and Applications,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5e/a181c68e314bd398e2a3dd03c4c8a9/Screenshot-2025-02-19-at-4.03.19-PM.png,"[""en""]","[""So3ARNgYQjuWXe53uR4v4w""]",instructional-design-foundations-applications,[],2-5 hours/week,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert""]",B8py5X7UEfCFkA4C8q11Ww,v2.ondemand,"Discover how fermentation is transforming industries and driving a sustainable future. This course begins by exploring the evolution of fermentation—from ancient food traditions to modern precision techniques—and why it matters today. You’ll dive into the science behind fermentation, including microbes, synthetic biology, and feedstocks, before examining the innovative products shaping global markets in food, beauty, and industrial materials. Finally, you’ll tackle one of the biggest challenges: scaling fermentation from lab to commercial production.

This course is part of the College of ACES suite of online programs and is supported by the Integrated Bioprocessing Research Lab (IBRL), a pilot plant facility focused on bioprocessing technologies located at the University of Illinois in Urbana-Champaign. The IBRL was built with the needs of industry projects and customers in mind, supporting over 1,000 scale-up projects for our clients since opening in 2018.
 
 Learn more about online programs from the College of ACES:  https://acesonline.illinois.edu
 Learn more about IBRL: https://ibrl.aces.illinois.edu","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""subdomainId"": ""chemistry"", ""domainId"": ""physical-science-and-engineering""}]","[""43836013"", ""110647903""]","[""Vijay Singh"", ""Brian Jacobson""]",BEGINNER,New Fermentation Markets and How They Scale,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a2/ecee7805fa4651a613e6e71e1adace/IBRL-Logos-4-.png,"[""en""]",[],new-fermentation-markets-and-how-they-scale,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",Dta9_D8qEeeuygoU7FlITg,v2.ondemand,"For several decades now, assessment has become an increasingly pressing educational priority. Teacher and school accountability systems have come to be based on analysis of large-scale, standardized summative assessments. As a consequence, assessment now dominates most conversations about reform, particularly as a measure of teacher and school accountability for learner performance. Behind the often heated and at times ideologically gridlocked debate is a genuine challenge to address gaps in achievement between different demographically identifiable groups of students. There is an urgent need to lift whole communities and cohorts of students out of cycles of underachievement. For better or for worse, testing and public reporting of achievement is seen to be one of the few tools capable of clearly informing public policy makers and communities alike about how their resources are being used to expand the life opportunities for their children. This course is an overview of current debates about testing, and analyses the strengths and weaknesses of a variety of approaches to assessment. The course also focuses on the use of assessment technologies in learning. It will explore recent advances in computer adaptive and diagnostic testing, the use of natural language processing technologies in assessments, and embedded formative assessments in digital and online curricula. Other topics include the use of data mining, learning analytics and artificial intelligence in learning management systems and educational technology platforms. Participants will be required to consider issues of data access, privacy and the challenges raised by ‘big data’ including data persistency and student profiling.

--------------------------------
Recommended Background
--------------------------------

This course is designed for people interested in the future of education and the ""learning society,"" including people who may wish to join education as a profession, practicing teachers interested in exploring future directions for a vocation that is currently undergoing transformation, and community and workplace leaders who regard their mission to be in part ""educative.""

--------------------------------
Related Resources
--------------------------------

Online resources are available here:
https://newlearningonline.com

--------------------------------
Join our Online Communities!
--------------------------------

CGScholar (Create an account and join the New Learning community)
https://cgscholar.com/community/community_profiles/new-learning/community_updates

Facebook
https://www.facebook.com/newlearningonline

Twitter
https://twitter.com/neolearning

--------------------------------
Take this Course for Credit at the University of Illinois
--------------------------------

This course has the same content and anticipates the same level of contribution by students in the Assessment for Learning course offered to graduate certificate, masters, and doctoral level students in the Learning Design and Leadership Program in the College of Education at the University of Illinois.

Of course, in the nature of MOOCs many people will just want to view the videos and casually join some of the discussions. Some people say that these limited kinds of participation offer evidence that MOOCs suffer from low retention rates. Far from it – we say that any level of engagement is good engagement.

On the other hand, if you would like to take this course for credit at the University of Illinois, you will find more information about our program here:
https://ldlprogram.web.illinois.edu/overview/

And you can apply here:
https://education.illinois.edu/epol/programs-degrees/ldl

--------------------------------
The Learning Design and Leadership Series of MOOCs
--------------------------------

This course is one of a series of eight MOOCs created by Bill Cope and Mary Kalantzis for the Learning Design and Leadership program at the University of Illinois. If you find this MOOC helpful, please join us in others!

e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age
https://www.coursera.org/learn/elearning

New Learning: Principles and Patterns of Pedagogy
https://www.coursera.org/learn/newlearning

Assessment for Learning
https://www.coursera.org/learn/assessmentforlearning

Learning, Knowledge, and Human Development 
https://www.coursera.org/learn/learning-knowledge-human-development

Ubiquitous Learning and Instructional Technologies
https://www.coursera.org/learn/ubiquitouslearning

Negotiating Learner Differences: Towards Productive Diversity in Learning
https://www.coursera.org/learn/learnerdifferences

Literacy Teaching and Learning: Aims, Approaches and Pedagogies
https://www.coursera.org/learn/literacy-teaching-learning

Multimodal Literacies: Communication and Learning in the Era of Digital Media
https://www.coursera.org/learn/multimodal-literacies","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""3734792"", ""3726726""]","[""Dr William Cope"", ""Dr Mary Kalantzis""]",BEGINNER,Assessment for Learning,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d0/8fd6303fd911e79e71e78acf0bed19/21959660328_36d64e3aa6_o.jpg,"[""en""]","[""So3ARNgYQjuWXe53uR4v4w""]",assessmentforlearning,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",lQpeAht8EemDxxJ40YD1SA,v2.ondemand,"Businesses run on data, and data offers little value without analytics. The ability to process data to make predictions about the behavior of individuals or markets, to diagnose systems or situations, or to prescribe actions for people or processes drives business today. Increasingly many businesses are striving to become “data-driven”, proactively relying more on cold hard information and sophisticated algorithms than upon the gut instinct or slow reactions of humans. 

This course will focus on understanding key analytics concepts and the breadth of analytic possibilities. Together, the class will explore dozens of real-world analytics problems and solutions across most major industries and business functions. The course will also touch on analytic technologies, architectures, and roles from business intelligence to data science, and from data warehouses to data lakes. And the course will wrap up with a discussion of analytics trends and futures.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""35411911""]","[""Douglas B. Laney""]",INTERMEDIATE,Business Analytics Executive Overview,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5d/8bcef9ebda431ab2ae257f6e3f7a88/GIES_Icon_B.png,"[""en""]","[""-ox4JcZzRh69qE2DrjLKow"", ""child~duhlNLk8R4SOhur2H7aaXw""]",business-analytics-executive-overview,[],4-6 hours/week,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",2yrg8AmqEeehuBIVBG78lg,v2.ondemand,"This course is the first in the Customer Insights and New Product Development (CIPD) specialization. It will introduce learners to the tools and process of gathering customer insights for identifying and developing new product opportunities. Through an integrated set of five modules and hands-on project experiences, learners will acquire the knowledge and skills to turn their ideas gained from understanding customer needs into innovative new products.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""12891058""]","[""William Qualls""]",BEGINNER,Customer Insights: New Product Development Orientation,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cd/da674127eb464cb973a045872d70ea/GIES_Icon_B.png,"[""en""]",[],customer-insights-orientation,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",n5AW3NAIEe65Mwqc6CotZw,v2.ondemand,"Modern agriculture has evolved into an accessible and lucrative asset class for a wide range of investors. Gain insights into the financial performance of this capital-intensive industry, anchored in valuable real estate assets and agricultural investments. Learners who enroll in this course will examine the scale, structure, and capital frameworks of the agricultural sector, explore the innovative channels emerging for investment, and explore the dynamics of agricultural financing. 

This course is part of the College of ACES suite of online programs, including the 4-week graduate-level course that can be stacked toward the Agribusiness and Sustainable Food Production Economics graduate certificate and a graduate degree. To learn more about online programs from the College of ACES and explore ways to apply your Coursera work toward a degree program at the University of Illinois, visit ACES Online at acesonline.illinois.edu.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""134106245"", ""128179242""]","[""Ailie Elmore"", ""Bruce Sherrick, Ph.D.""]",INTERMEDIATE,Agriculture as an Asset Class,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/73/167161821a41f98b6b0b9568790f96/Ag-as-an-Asset.png,"[""en""]","[""JMxxNuOySb-RDtIsoCWZog""]",agriculture-as-an-asset-class,[],"4 weeks of study, 2.5 hours/week",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert""]",WoHbNCO-EeuYSw6LSjHEtw,v2.ondemand,"Este curso analisa como ferramentas digitais, por exemplo, a Internet, os smartphones e a impressão 3D, estão revolucionando o mundo do marketing ao mudar as funções e práticas das empresas e dos consumidores. O Marketing no mundo digital é um dos cursos mais procurados da Coursera com mais de 250 mil alunos e ele foi classificado pela Class Central como um dos 50 melhores cursos on-line abertos e massivos (MOOCs, na sigla em inglês) de todos os tempos (https://www.class-central.com/report/top-moocs/).
Este curso foi lançado inicialmente em 2015 e atualizado em abril de 2020.

Este curso faz parte do iMBA oferecido pela Universidade de Illinois, que é um MBA on-line, flexível e credenciado, a um preço incrivelmente competitivo. Para obter mais informações, consulte a página Recurso neste curso e o site onlinemba.illinois.edu.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}]","[""9695082""]","[""Aric Rindfleisch""]",BEGINNER,Marketing no mundo digital,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c1/70ec1fe57b48e5a0d988ee4a82a081/GIES_Icon_B.png,"[""pt-BR""]",[],marketing-digital-pt,[],"4 semanas de estudo, de 6 a 8 horas/semana",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",-DUwIIc7Ee-Prw4pgRltBQ,v2.ondemand,"This course offers a comprehensive exploration of dairy cow health and nutrition, focusing on physiological changes around calving and their impact on nutrient needs. Students will learn about production diseases, major metabolic changes, and key biomarkers of health and disease. The course addresses common health problems in dairy cows and the role of biomarkers in diagnosis and management. A systems approach to nutritional management is emphasized, exploring how genetics, cellular networks, and dietary components influence cow health and productivity. Expert instructors will guide learners through practical applications to optimize dairy cow health and production

This course is part of the College of ACES suite of online programs, including the graduate certificate, ""Dairy Nutrition for Udder Success"" that can be stacked toward an advanced degree in the College of ACES. To learn more about online programs from the College of ACES and explore ways to apply your Coursera work toward a degree program at the University of Illinois, visit ACES Online @ aces.illinois.edu/online.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""animal-health""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""research""}]","[""175612643""]","[""Juan Loor""]",INTERMEDIATE,Dairy Nutrition & Health: Analyzing Cow Wellness,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/43/c39d800ace4090b95833057af3789f/ANSC502a-Logo.png,"[""en""]","[""BUxzq0KcQWG3GaBg5AVFzQ""]",dairy-nutrition-and-health-analyzing-cow-wellness,[],"4 weeks of study, 2.5 hours/week",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert""]",TE5yWMG5EeikXg7aK_-m0g,v2.ondemand,"This course is an introduction to 3D scientific data visualization, with an emphasis on science communication and cinematic design for appealing to broad audiences. You will develop visualization literacy, through being able to interpret/analyze (read) visualizations and create (write) your own visualizations.

By the end of this course, you will:
-Develop visualization literacy.
-Learn the practicality of working with spatial data.
-Understand what makes a scientific visualization meaningful.
-Learn how to create educational visualizations that maintain scientific accuracy.
-Understand what makes a scientific visualization cinematic.
-Learn how to create visualizations that appeal to broad audiences.
-Learn how to work with image-making software. (for those completing the Honors track)","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""research-methods""}]","[""24403424"", ""34790280""]","[""Kalina Borkiewicz"", ""AJ Christensen""]",BEGINNER,3D Data Visualization for Science Communication,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b5/1b74c6c946434b88ce2926ae621d1e/Icon-1.png,"[""en""]",[],data-visualization-science-communication,[],"4 weeks of study, 5-10 hours per week",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",HdedLT8sEeeQDg6xSmfOXg,v2.ondemand,"This course sets out to provide an understanding of theories of learning and development and how these theories relate to educational technology. It has two components. The first is theoretical, in which we attempt to develop an overall frame of reference, locating approaches to the psychology of learning in terms of large paradigm shifts, from ‘behaviorism’ to ‘brain developmentalism’ to ‘social cognitivism’. The second component is practical, in which we will use these theoretical concepts to ‘parse’ a technology-mediated learning environment for its underlying presuppositions.

--------------------------------
Recommended Background
--------------------------------

This course is designed for people interested in the future of education and the ""learning society,"" including people who may wish to join education as a profession, practicing teachers interested in exploring future directions for a vocation that is currently undergoing transformation, and community and workplace leaders who regard their mission to be in part ""educative.""

--------------------------------
Related Resources
--------------------------------

Online resources are available here:
https://newlearningonline.com

--------------------------------
Join our Online Communities!
--------------------------------

CGScholar (Create an account and join the New Learning community)
https://cgscholar.com/community/community_profiles/new-learning/community_updates

Facebook
https://www.facebook.com/newlearningonline

Twitter
https://twitter.com/neolearning

--------------------------------
Take this Course for Credit at the University of Illinois
--------------------------------

This course has the same content and anticipates the same level of contribution by students in the Assessment for Learning course offered to graduate certificate, masters, and doctoral level students in the Learning Design and Leadership Program in the College of Education at the University of Illinois.

Of course, in the nature of MOOCs many people will just want to view the videos and casually join some of the discussions. Some people say that these limited kinds of participation offer evidence that MOOCs suffer from low retention rates. Far from it – we say that any level of engagement is good engagement.

On the other hand, if you would like to take this course for credit at the University of Illinois, you will find more information about our program here:
https://ldlprogram.web.illinois.edu/overview/

And you can apply here:
https://education.illinois.edu/epol/programs-degrees/ldl

--------------------------------
The Learning Design and Leadership Series of MOOCs
--------------------------------

This course is one of a series of eight MOOCs created by Bill Cope and Mary Kalantzis for the Learning Design and Leadership program at the University of Illinois. If you find this MOOC helpful, please join us in others!

e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age
https://www.coursera.org/learn/elearning

New Learning: Principles and Patterns of Pedagogy
https://www.coursera.org/learn/newlearning

Assessment for Learning
https://www.coursera.org/learn/assessmentforlearning

Learning, Knowledge, and Human Development 
https://www.coursera.org/learn/learning-knowledge-human-development

Ubiquitous Learning and Instructional Technologies
https://www.coursera.org/learn/ubiquitouslearning

Negotiating Learner Differences: Towards Productive Diversity in Learning
https://www.coursera.org/learn/learnerdifferences

Literacy Teaching and Learning: Aims, Approaches and Pedagogies
https://www.coursera.org/learn/literacy-teaching-learning

Multimodal Literacies: Communication and Learning in the Era of Digital Media
https://www.coursera.org/learn/multimodal-literacies","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""3734792"", ""3726726""]","[""Dr William Cope"", ""Dr Mary Kalantzis""]",BEGINNER,"Learning, Knowledge, and Human Development ","[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/19/312b903fdb11e79e71e78acf0bed19/8289601826_98413ca030_o.jpg,"[""en""]","[""owixDfJsRrKiVKa225sFlg""]",learning-knowledge-human-development,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",uHqKzJFyEeutdhLeSmY08w,v2.ondemand,"This course introduces several tools for processing business data to obtain actionable insight. The most important tool is the mind of the data analyst. Accordingly, in this course, you will explore what it means to have an analytic mindset. You will also practice identifying business problems that can be answered using data analytics. You will then be introduced to various software platforms to extract, transform, and load (ETL) data into tools for conducting exploratory data analytics (EDA). Specifically, you will practice using Python to conduct the ETL and EDA processes. 

The learning outcomes for this course include:
1.	Development of an analytic mindset for approaching business problems.
2.	The ability to appraise the value of datasets for addressing business problems using summary statistics and data visualizations.
3.	The ability to competently operate business analytic software applications for exploratory data analysis.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""35891395"", ""105866635""]","[""Ronald Guymon"", ""Kimberly Mendoza""]",BEGINNER,Tools for Exploratory Data Analysis in Business,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e6/92aa1bca094ee79386dcc6b01cab3a/Gies_Coursera-icon.png,"[""en""]","[""JAvVoafYEeiGnxLVeReang""]",tools-exploratory-data-analysis-business,[],"4 weeks of study, 3-5 hours/week",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",UYDiMVFeEe2_Sw71Lq9Tow,v2.ondemand,"This course embarks on the journey of understanding multicultural marketing's essentials. It elaborates on how culture influences consumer behavior and decision-making, and it explores the roles of multicultural consumer segments, generational and regional subcultures. The course imparts knowledge of various advertising strategies tailored for multicultural markets and discusses concepts like bilingual use, frame-switching, and communication channels' significance. 

Upon successful completion of this course, you will be able to:
- understand how culture influences consumer behavior and decision-making processes,
- identify and describe the roles of multicultural consumer segments, generational, and regional subcultures in marketing,
- analyze and apply various advertising strategies tailored for multicultural markets,
- recognize the effects of bilingual use and frame-switching in advertising communication,
- appreciate the importance of different communication channels in multicultural marketing campaigns,
 -evaluate real-world multicultural marketing campaigns, identifying their strengths and areas for improvement,
- develop skills to create culturally responsive marketing strategies that acknowledge and appeal to the cultural backgrounds of diverse consumer segments, and
- enhance your multicultural marketing acumen, preparing you for leadership roles in culturally diverse business environments.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""86964098""]","[""Maria Rodas""]",BEGINNER,Global Impact: Multiculturalism,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/61/b9945bf6bb469eae993250c94734e0/Gies_Coursera-icon.png,"[""en""]","[""child~Exj3-7n7SMay0TdOLfP92A""]",global-impact-multiculturalism,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert""]",z7nClydMEe-qLxJFbw2Hbw,v2.ondemand,"We often think that managing people looks like a charismatic and courageous person effective enough to be in front pointing out to everyone the direction the group should take, while others follow behind. However, in today’s world (where the difference between supervisors and employees is smaller than ever), leaders are just as often teammates and collaborators as they are supervisors and managers who can hire and fire their team at will. This course is an introduction for how managers can construct and supervise individuals who work as a team to get their work done quickly and effectively – where all individuals add unique value and skill.  

Taught by an internationally recognized expert in leadership and team development, this course is helpful to anyone interested in the basics of supervising other humans in work and community settings. If you already consider yourself more advanced, this short course might help to remind you of basic strategies and concepts you may have gotten away from. Each short video and reading is designed to be practical, clear, and backed by the latest research in management and leadership development.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""157113160""]","[""David Michael Rosch""]",BEGINNER,Managing Professional Work Teams,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/74/50920a29444336b0a3a13f7cceaa42/FSHN-582-10-.png,"[""en""]",[],managing-professional-work-teams,[],"5 weeks of Study, 2 hours/week ",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",ZeL5XQMtEe-knBIDDnXmpw,v2.ondemand,"A “one size fits all” approach to nutrition may not work for everyone. We each have unique variations in our genome, epigenome and microbiome, which interact with our external environment to affect how our bodies respond to dietary intake. Learners will exam the basic principles of nutrition, explore the foundational aspects of personalized nutrition, and analyze the research about the roles of genetics and microbiomes in our personalized nutrition journey. 

This course is part of the College of ACES suite of online programs, including the graduate-level certificate, ""Food Regulations, Nutrition Policy, and Personalized Nutrition"" that can be stacked toward an online master's degree. To learn more about online programs from the College of ACES and explore ways to apply your Coursera work toward a degree program at the University of Illinois, visit ACES Online at acesonline.illinois.edu.","[{""subdomainId"": ""nutrition"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""research""}]","[""153609246""]","[""Sharon M. Donovan""]",INTERMEDIATE,Putting the Personal in Personalized Nutrition,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fb/74965b00514f8e9fab5c469cad9e70/FSHN-582.png,"[""en""]","[""OwlV0kVGQ_qnvdXnJ2MPsg""]",putting-the-personal-in-personalized-nutrition,[],"4 weeks of study, 3 hours/week",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",eGXWjGZyEfCZkgr__qctWQ,v2.ondemand,"RiskWise: Insurance and Your Financial Future introduces learners to the fundamentals of risk management and insurance as essential tools for financial planning. Whether you're exploring a career in insurance or seeking to strengthen your personal financial strategy, this course offers practical insights into risk types, human capital, insurance operations, and the roles of professionals in the field.

Through real-world examples, interactive activities, and expert interviews, you’ll learn how to evaluate personal risks, understand insurance products, and apply risk management strategies to build financial resilience. Designed for a broad audience—including aspiring and current insurance professionals—this course empowers you to make informed decisions and better serve clients or your own household.

This course is part of the College of ACES suite of online programs. To learn more about online programs from the College of ACES and explore ways to apply your Coursera work toward a degree program at the University of Illinois, visit ACES Online. @ aces.illinois.edu/online","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""152224472""]","[""Dr. Craig Lemoine ""]",BEGINNER,RiskWise: Insurance and Your Financial Future,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ef/f27a66b0cf46bb963fa688edbbb064/RiskWise-1-Insurance.png,"[""en""]","[""WTLv2SqhQUKvD8YbUKl7oA"", ""YvFTVW1eThi_pdHmIRRJ2Q""]",riskwise-insurance-and-your-financial-future,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert""]",4nKsdN83Eea3uhKgRSNY-g,v2.ondemand,"Globalization has brought dramatic changes to the marketplace. A proliferation of global brands brings diverse cultures to a consumer population that is also culturally diverse. This course enables students to understand how globalization changes consumers at a psychological level and provides tools for infusing  brands with cultural meaning that can resonate with global consumers. The focus is on understanding that culture exists in the mind as well as in the environment, and that globalization creates multi-cultural spaces in contemporary societies. Consumers can use the cultural meaning of a brand to build their identities or reject the brand’s cultural meaning. 

The course will help students identify when assimilation vs. exclusionary reactions are more likely to occur and to devise strategies for imbuing brands with cultural meanings that can elevate them to the status of cultural icons. 

You will be able to: 

• Understand how globalization impacts the psychological responses of consumers in global markets 
• Explain  what culture is and how it manifests itself in business environments
• Understand how brands acquire cultural meanings and predict consumers’ responses to the cultural meanings in brands 
• Identify strategies to win-over multi-cultural consumers in globalized markets 
• Practice the fundamentals of  how to build an iconic brand
 
This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}]","[""22582221""]","[""Carlos J. Torelli""]",BEGINNER,Global Impact: Cultural Psychology,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c6/b467f44a054e85b7a3acca7f47728d/GIES_Icon_B.png,"[""en""]",[],cultural-psychology-globalization,[],"4 weeks of study, 4-6 hours/week",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert""]",RuirxGVdEeyxLxJK4mLviw,v2.ondemand,"Ce cours aborde la manière dont les nouveaux outils numériques (Internet, smartphones, impression 3D) révolutionnent le monde du marketing en modifiant les rôles et les habitudes des entreprises comme des clients. Avec plus de 500 000 étudiants, le cours « Le marketing dans un monde numérique » est l’un des plus populaires de Coursera, et Class Central le considère comme l’un des 50 meilleurs MOOC de tous les temps (https://www.class-central.com/report/top-moocs/).

Vous pourrez :
•	Comprendre comment les outils numériques modifient la nature du marketing
•	Expliquer comment les outils numériques permettent aux clients de jouer un rôle plus actif dans le développement, la promotion, le placement et le prix des produits
•	Acquérir un nouvel ensemble de concepts, d’outils et de récits pour améliorer vos activités de marketing digital

Ce cours fait partie de la suite de programmes en ligne du Gies College of Business, notamment l’iMBA et l’iMSM. Pour en savoir plus sur l’inscription à ces programmes et découvrir comment utiliser votre travail Coursera en cas d’admission dans un programme diplômant, consultez le site https://degrees.giesbusiness.illinois.edu/idegrees/.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}]","[""9695082""]","[""Aric Rindfleisch""]",BEGINNER,Le marketing dans un monde numérique,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cd/9947e944184c3c985115d0765460fd/GIES_Icon_B.png,"[""fr""]",[],marketing-digital-fr,[],"4 semaines d’études, 6-8 heures/semaine",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert""]",vHMlG5cpEe6Yvg6sv84HSQ,v2.ondemand,"Dive into the transformative world of blockchain with our course, designed to navigate the complexities of digital currencies, smart contracts, and decentralized applications. Whether you're intrigued by Bitcoin, Ethereum, or the broader implications of blockchain for industries and governance, this course offers deep insights and practical knowledge to leverage blockchain technology for innovation and problem-solving. Perfect for both beginners and seasoned enthusiasts, it's your gateway to mastering the blockchain ecosystem and its burgeoning impact on the digital age.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""25293176""]","[""Robert J. Brunner""]",BEGINNER,"Blockchains, Tokens, and The Decentralized Future","[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/90/2a7a646b744658bb7ec5035e5dea97/Gies_Coursera-icon.png,"[""en""]",[],blockchains-tokens-decentralized-future,[],"4 weeks of study, 4-6 hours/week",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",HivnY-KfEeaKBwrG-FP2zg,v2.ondemand,"This course will highlight the potential of quantitative marketing research for assessing new product opportunities. In addition to focusing on the skills and practices for a successful New Product Development (NPD), the course will illustrate the multi-faceted challenges of NPD using authentic business situations. The first module will provide business practice foundations to help learners devise creative solutions to problems using a design-thinking framework. Learners will experience the idea creation process and then apply the role of surveys for evaluating consumer responses to an idea before introducing a product to market. The second module will explore the technique of conjoint analysis for quantifying the customer benefits, customer values, and the trade-off he or she is willing to make between the price of the product and desired features of the product or service. Concept testing identifies perceptions, wants, and needs of a product or service as the foundation of targeting and positioning a product in the marketplace. The third module will describe a multitude of tools for assessing technology readiness and defining the product features to target the key customer need requirements. Learners will hear an in-depth interview with one of the leading U.S. business executives on the management challenges of innovation. Learners will develop a survey (with appropriate data privacy agreements) and analyze the data for decisions about the pricing and positioning a new product into a focused market. The fourth module will illustrate the use of the tools to create a sales and pricing forecast for a new product. Three new product ideas representing three different types of market unknowns will be analyzed using market research tools. Upon completion of this course, the learner will have defined and redefined their product idea and created a credible sales forecast for use in an overall business case.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""24105098""]","[""James Lenz""]",,Customer Insights: Quantitative Techniques,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/49/e3aedfbda74f99917c95daad939652/GIES_Icon_B.png,"[""en""]",[],quantitative-customer-insights,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",lcCqna1jEemETRI5coYdLg,v2.ondemand,"This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses model evaluation and model optimization. This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems.

Accounting Data Analytics with Python is a prerequisite for this course. This course is running on the same platform (Jupyter Notebook) as that of the prerequisite course. While Accounting Data Analytics with Python covers data understanding and data preparation in the data analytics process, this course covers the next two steps in the process, modeling and model evaluation. Upon completion of the two courses, students should be able to complete an entire data analytics process with Python.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""27764319""]","[""Linden Lu""]",INTERMEDIATE,Machine Learning for Accounting with Python,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/97/7bfe4146b849af883f8b82ee1d0117/Gies_Coursera-icon.png,"[""en""]","[""child~YyYcEf7YRICmRc8-iMv01w""]",machine-learning-accounting-python,[],"Eight weeks of study, eight hours per week.",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",EeyElZz9EeWoKRLkmmHLTQ,v2.ondemand,"This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you   will learn how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals.

While you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through the use of Excel and data sets from different disciplines, allowing you to see the use of statistics in a range of settings. The course will focus not only on explaining these concepts, but also understanding and interpreting the results obtained. 

You will be able to: 

• Summarize large data sets in graphical, tabular, and numerical forms
• Understand the significance of proper sampling and why one can rely on sample information
• Understand why normal distribution can be used in a wide range of settings
• Use sample information to make inferences about the population with a certain level of confidence about the accuracy of the estimations
• Use Excel for statistical analysis

This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""12639351""]","[""Fataneh Taghaboni-Dutta, Ph.D., PMP, CSM, CSPO""]",BEGINNER,Exploring and Producing Data for Business Decision Making,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/29/87c37dec9649ea84cc8cf0809c144c/Gies_Coursera-icon.png,"[""en""]","[""child~oZASWq4-TeOf4TJjTYkL6w""]",business-data,[],"4 weeks of study, 4-6 hours/week",C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert""]",U7sIn3MQEeyKjA79ESMRTQ,v2.ondemand,"En este curso, mejorarás tu capacidad y tus oportunidades para trabajar de manera creativa dentro de cualquier organización, aprenderás a comprender la importancia y la función del trabajo en equipo dentro de la organización, y desarrollarás habilidades que te diferenciarán como participante influyente del equipo. Las habilidades comerciales profesionales relacionadas con el trabajo en equipo y la creatividad que obtendrás en este curso te ayudarán a tener éxito en tu trabajo en cualquier organización.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""94734459""]","[""Gies College of Business, University of Illinois""]",BEGINNER,Trabajo en equipo y creatividad,"[""17""]",http://coursera-university-assets.s3.amazonaws.com/1d/7a53408c1411e7983a499797d625fe/200x48-illinois.png,"[""University of Illinois Urbana-Champaign""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a7/4756b235fe44b7a287626db74319d1/Gies-Square-Logo-from-MarCom.jpg,"[""es""]",[],teamwork-and-creativity-es,[],,C0A1eBcecDTaIcXEE,Aq5M2UymYGyyxMyIE
[],"[""VerifiedCert"", ""Specialization""]",A4W_GyDjEeW5Rwo0txKkgQ,v2.ondemand,"This course teaches computer programming to those with little to no previous experience. It uses the programming system and language called MATLAB to do so because it is easy to learn, versatile and very useful for engineers and other professionals. MATLAB is a special-purpose language that is an excellent choice for writing moderate-size programs that solve problems involving the manipulation of numbers. The design of the language makes it possible to write a powerful program in a few lines. The problems may be relatively complex, while the MATLAB programs that solve them are relatively simple: relative, that is, to the equivalent program written in a general-purpose language, such as C++ or Java. As a result, MATLAB is being used in a wide variety of domains from the natural sciences, through all disciplines of engineering, to finance, and beyond, and it is heavily used in industry. Hence, a solid background in MATLAB is an indispensable skill in today’s job market.

Nevertheless, this course is not a MATLAB tutorial. It is an introductory programming course that uses MATLAB to illustrate general concepts in computer science and programming. Students who successfully complete this course will become familiar with general concepts in computer science, gain an understanding of the general concepts of programming, and obtain a solid foundation in the use of MATLAB.

Students taking the course will get a MATLAB Online license free of charge for the duration of the course. The students are encouraged to consult the eBook that this course is based on. More information about these resources can be found on the Resources menu on the right.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""7529359"", ""8333701""]","[""Akos Ledeczi"", ""Mike Fitzpatrick""]",BEGINNER,Introduction to Programming with MATLAB,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/88/95d1ba5b2d48fab009356787a26dff/SquareLogo.png,"[""en""]","[""child~vAVOQLSISFiqtAcOZW12Yw""]",matlab,[],"9 weeks, 3-4 hours/week",cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",IJYk1iefEfG4pBJar8B_YQ,v2.ondemand,"AI is not just a tool. It is becoming your team.

The leaders who win in the next decade will not be the ones who “use AI occasionally.” They will be the ones who know how to deploy it—to turn a simple idea, question, or conversation into fully realized outputs: dashboards, reports, systems, analyses, and decisions that would normally require entire teams to produce.

This course teaches you how to do exactly that with AI Agent Skills that anyone can deploy in ChatGPT, Claude, and Gemini.

AI Agent Skills are a new way of working with AI. Instead of starting from scratch every time you ask for something, you create reusable “skills” that act like on-demand training manuals for your AI—teaching it how to think, how to structure work, and how to produce outputs the way you want them done.

But the real breakthrough is not just automation—it is transformation.

Most people use AI to generate text. Leaders use AI to generate artifacts.

Instead of getting an explanation, you get an interactive dashboard.
Instead of a summary, you get a decision framework.
Instead of a pile of files, you get a fully organized system packaged and ready to use.

You are not just getting answers—you are getting work done.

This course will teach you how to think like a CEO assigning work to a team: how to design AI Agent Skills that take the raw intelligence of a conversation and turn it into outputs that are structured, tailored, visually polished, and immediately actionable.

You will learn how to take something that would normally require hours—or days—of effort and compress it into a single interaction. How to turn a few lines of instruction into dashboards, PDFs, spreadsheets, file systems, and tools that live beyond the chat and create real-world value.

By the end of this course, you will be able to:

- Turn any conversation into an interactive HTML dashboard you can download and share
- Create AI-powered file organization systems that rename, categorize, and package messy data into structured archives
- Build reusable AI Agent Skills that perform complex workflows on demand
- Generate decision frameworks with scoring models, tradeoffs, and recommendations
- Produce executive-ready reports, PDFs, and slide decks automatically
- Design custom tools and systems (not just text) tailored to your work, team, or business
- Transform raw ideas into structured plans with timelines, dependencies, and execution steps
- Convert explanations into visualizations, simulations, and learning systems
- Capture your best workflows and turn them into repeatable, high-quality outputs every time
- Think like a leader who doesn’t just ask for answers—but deploys AI to produce outcomes

This is not a course about prompts.

This is a course about leverage.

Once you understand how to build and use AI Agent Skills, you stop interacting with AI like a chatbot—and start operating it like a team that can produce high-quality work on demand.

Almost every task you do today can be upgraded.

This course shows you how.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,AI Agent Skills for Leaders,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/00/4b742817c64cbf8b9782d9240aec1e/juleswhite_3d_colorful_flat_vibrant_geometric_shape_logo_long_s_53c73484-4cf4-4e78-83bf-b61e4777fab4.png.webp,"[""en""]","[""MA86jMO6Rr6gTYF_NOZQgQ"", ""vOVIYRaJQMmdANF2vIRO0w""]",agent-skills,[],,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",grHerun8Ee-mrRK-FPQYAw,v2.ondemand,"Master the Art of Building Intelligent Python Agents That Think, Reason, and Act

Unlock the full potential of Python for creating autonomous AI agents that solve complex problems without constant human direction. In this comprehensive course on AI Agents and Agentic AI with Python & Generative AI, you'll learn how to architect sophisticated agent systems that leverage Python's robust ecosystem and industry-standard capabilities.

This course takes you beyond the foundations covered in the AI Agents and Agentic AI with Python & Generative AI course to explore advanced patterns for building truly intelligent agents in Python. You'll delve into specialized techniques like self-prompting, expert personas, document-as-implementation, and multi-agent orchestration - all implemented with Python's powerful frameworks and libraries.

What You'll Learn:

- Self-Prompting Patterns in Python: Build agents that dynamically adopt different thinking modes to handle specialized tasks, transforming unstructured data into structured formats with clean Python implementations

- Python-Based Expert Persona Systems: Implement consultation frameworks where agents can invoke domain experts for specialized knowledge while maintaining clean architecture

- Document-as-Implementation: Use Python's powerful file handling to create systems where human-readable documents become executable business logic

- Multi-Agent Collaboration with Python: Design sophisticated memory sharing and coordination mechanisms between specialized Python agents

- Progress Tracking & Planning: Implement robust planning and reflection capabilities using Python's comprehensive tooling

- Python Agent Safety & Trust Systems: Build transaction management and safety mechanisms that leverage Python's exception handling and security features

By the end of this course, you'll be equipped to build complex, production-ready agent systems in Python that can reason across multiple domains, handle complex workflows, and safely interact with real-world systems.

Whether you're building productivity tools, automating complex business processes, or creating intelligent assistants, you'll have the Python-specific knowledge to implement agentic AI solutions that provide genuine business value.

This course will teach you these concepts using OpenAI's APIs, which require paid access, but the principles and techniques can be adapted to other LLMs.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,AI Agents and Agentic AI Architecture in Python,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/04/b083afac3c4c1ea74064c4ca486870/juleswhite_3d_colorful_volumeric_organic_rounded_vibrant_highly_36940433-9683-4324-92db-a8221209319f.png,"[""en""]","[""AZal18caQfOPCtxczxMkgg"", ""m55Ol2pRRCSCIHdXN3uvKQ""]",ai-agents-architecture-python,[],~2hrs a week,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",4rkU34_-Ee-QNwr_wLmrww,v2.ondemand,"Unlock the power of automation with ChatGPT + Zapier: From Email Inbox to Excel Spreadsheet! This hands-on course teaches you how to streamline workflows by extracting valuable information from your email inbox and effortlessly organizing it into spreadsheets. Whether you want to track expenses, log action items, collect customer reviews, or manage follow-ups, this course gives you the skills to automate tedious tasks and turn unstructured email content into structured data.

Imagine transforming your Gmail inbox—or any other email provider supported by Zapier—into a dynamic source of insights. Learn how to automate data extraction and integration with thousands of popular apps in Zapier, such as Salesforce, Office365, HubSpot, Notion, and more. With detailed, step-by-step guidance, you’ll create “Zaps” that connect email providers, ChatGPT, and various apps to build seamless, automated workflows. Each lesson builds your automation skills, from setting up your data destinations and labeling emails, to configuring Zapier actions and leveraging ChatGPT’s natural language processing capabilities to extract actionable information.


What You’ll Learn:

	•	Automate Your Data Collection: Build Zaps that automatically extract key information from labeled emails and store it in tools like Google Sheets.
	•	Customize Prompts for ChatGPT: Master the art of prompt engineering to extract structured data like dates, vendors, amounts, and categories from email bodies.
	•	Use Code by Zapier to Process Data: Add custom JavaScript to parse ChatGPT’s responses and format them for various app integrations.
	•	Expand and Tailor Your Automation: Clone and customize your Zap workflows to track different types of information, such as project tasks, customer feedback, or event dates.


Key Course Highlights:

	•	From Email to Apps in Minutes: Quickly set up Zaps that move data from your inbox into Google Sheets, freeing up time and reducing manual data entry.
	•	Hands-On Projects: Follow along with practical examples, like automating expense tracking, to learn real-world applications of ChatGPT and Zapier.
	•	Scalable Solutions: Discover how to adapt your workflows for various use cases by changing prompts, labels, or data formats.

Go Beyond the Course:

While this course teaches you how to integrate Gmail and Google Sheets, the skills you’ll learn can be applied to other email providers supported by Zapier and thousands of connected apps, such as Salesforce, Office365, HubSpot, Notion, and more. The techniques covered will empower you to extend your automations to a variety of tools and platforms—from CRM systems to project management apps—giving you the flexibility to target different data sources and destinations with your new automation expertise.

By the end of the course, you’ll be equipped to automate data extraction from emails, save time, and boost your productivity. Let ChatGPT and Zapier work together to transform your everyday tasks—taking you from email overload to organized data and seamless app integrations with the click of a button!","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,ChatGPT + Zapier: From Email Inbox to Excel Spreadsheet,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/66/6e274e7f3d44109363c399da889802/juleswhite_3d_colorful_volumeric_organic_rounded_vibrant_highly_06b545a8-79d5-4a6f-be1b-d2853bd373df.png,"[""en""]","[""TQvYvM1LQouPvrYnPfCyYw""]",chatgpt-zapier-email-excel,[],3-4hrs,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",_APuJMtnEe6SjxKHxThXWw,v2.ondemand,"This course covers what Generative AI is and its applications to a variety of tasks in the legal field. The course will cover ethics and privacy, basic prompt engineering strategies for legal use cases, and how to leverage Generative AI to augment your legal expertise. This is a rapidly advancing area and a primary goal of this course is to prepare everyone for the pace of change that is taking place and to develop a mindset of continuous curiosity that will enable lawyers to adapt along with the technology","[{""subdomainId"": ""law"", ""domainId"": ""social-sciences""}]","[""130817893""]","[""Mark Williams""]",BEGINNER,Generative AI for Legal Services Primer,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/61/dc8a13a4cd4d8b923f28f179fcbc94/black-white.png,"[""en""]","[""Zrasx6gnSCKt3RTf45mz9Q""]",generative-ai-for-legal-services-primer,[],"3 Weeks of Study, 2-3 hours/week ",cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert""]",AQ9Go5hyEeWqkw5zNB248Q,v2.ondemand,"This MOOC describes by example how to build cloud services via the use of object-oriented design techniques; Java programming language features; Java Servlets, the Java Spring Framework; and cloud computing platforms, such as Amazon Web Services.  Due to the importance of building secure and scalable mobile/cloud platforms, this MOOC will not only show you how to build cloud services, but how to do so securely, scalably, and efficiently. Security and scalability topics will be woven into discussions of cloud service creation so that students learn, from the start, how to create robust cloud services.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""4639533"", ""1337829""]","[""Dr. Jules White"", ""Dr. Douglas C. Schmidt""]",INTERMEDIATE,Building Cloud Services with the Java Spring Framework,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/da/dc72e0a35b11e594b36397a5830f12/coursera_course_logo.png,"[""en""]",[],cloud-services-java-spring-framework,[],,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert""]",SucUgXlPEe-LiAr_7NWd6w,v2.ondemand,"Dive into the world of generative AI and learn how to select the right model for your needs in this practical course. You'll gain a solid understanding of how generative AI models work and compare deployment options like web APIs, hosted solutions, and local installations.

By the end of this course, you will be able to:
•	Describe the basic architecture of generative AI models
•	Compare different AI model deployment options
•	Evaluate AI models using benchmarks and custom assessments
•	Troubleshoot and improve model performance
•	Determine when to use in-context learning vs. retrieval augmented generation

Through hands-on exercises, you'll learn to evaluate models using industry benchmarks and create custom assessments for your specific use cases. You'll also master techniques to troubleshoot and enhance model performance. 

What sets this course apart is its focus on real-world application - you'll leave equipped to make informed decisions about AI model selection and optimization for your projects. Whether you're new to AI or looking to deepen your knowledge, this course will empower you to leverage generative AI effectively.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""137689304""]","[""Jesse Spencer-Smith""]",BEGINNER,Generative AI and Model Selection,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6e/4949cac8ad40c9af45cb4f8c36123d/4d_hues_of_gold_4.png,"[""en""]",[],generative-ai-and-model-selection,[],"One week of study, one week for hands-on project",cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",2QTgtx6zEfCZYg7Q5Bw5Lw,v2.ondemand,"Imagine designing databases that evolve with your business, anticipate future needs, and solve problems you haven't even encountered yet. This course teaches you to use AI as your intelligent design partner—creating database architectures neither human nor AI could achieve alone. You'll master AI-powered design techniques that transform traditional database development, leveraging generative AI for schema simulation, automated gap analysis, and AI-facilitated requirement discovery. Together with your AI collaborator, you'll craft schemas that reduce technical debt, minimize migrations, and maintain peak performance through AI-optimized design choices.

What You'll Learn:

•	Test queries against AI-simulated databases before writing any code
•	Identify design blind spots using AI-powered gap analysis techniques
•	Have AI interview you with intelligent questions to uncover critical data insights
•	Convert spreadsheets or photographs into AI-optimized database schemas
•	Use AI to simulate database performance under various usage scenarios
•	Create AI-enhanced design packages that document both implementation and reasoning

Skills That Will Transform Your Work:

•	Generate thousands of rows of AI-crafted realistic test data in seconds
•	Create AI-designed dashboards to validate your design's reporting capabilities
•	Design AI-optimized migration paths for evolving database needs
•	Build AI-documented databases that new team members can understand immediately
•	Explore multiple AI-generated design alternatives to find optimal solutions

This course is for anyone who designs or maintains databases—from beginners to seasoned architects. You'll learn practical AI collaboration techniques that dramatically enhance your ability to create systems that are adaptable, resilient, and perfectly aligned with business needs.

Join us to master the art of human-AI collaborative database design and create systems that truly stand the test of time.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""4639533""]","[""Dr. Jules White""]",INTERMEDIATE,Generative AI Database Design & Management with ChatGPT,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/53/e4b1025c3c4e369697ad7b5e34a07c/c41f1338-efe5-469e-b459-d57eeb5907d4_grid_0.webp,"[""en""]","[""Mg7xaXoNQvy2wSK78GysRw""]",generative-ai-database-design-management-chatgpt,[],3-4hrs,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert""]",oHkr8bWNEeW2iwpbOuagWQ,v2.ondemand,"Developed by David Owens at Vanderbilt University and customized for the cultural sector with National Arts Strategies, this course is designed to help arts and culture leaders create an environment where new ideas are constantly created, shared, evaluated and the best ones are successfully put to work.

One of the toughest challenges for any leader is getting traction for new ideas. Winning support can be a struggle. As a result, powerful new ideas often get stuck. This is especially true in the cultural sector. People involved in arts and culture often have little time and even less money for experimentation and risks. This course will help those in the performing arts, museums, zoos, libraries and other cultural organizations build environments where new management and program ideas flourish.

Leading Innovation in Arts & Culture will teach you how to make an ""innovation strategy"" a fundamental component of your organization's overall strategy. In this seminar you will learn to:

- Analyze constraints on innovation in your organization, foresee obstacles and opportunities, and develop a shared vision
- Develop a process to manage the demands of multiple stakeholders, shifting priorities and the uncertainty inherent in new initiatives
- Create a culture for innovation and risk-taking that generates new perspectives and challenges existing practice
- Create a strong customer focus within your organization that anticipates customer needs

National Arts Strategies worked with David Owens to customize this course for those working in the cultural sector. They based their work on David Owens’ Leading Strategic Innovation in Organizations course. This highly interactive 8-week course will engage you in a series of class discussions and exercises.","[{""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""1330818"", ""6859544""]","[""David  A. Owens, PhD, PE"", ""Jim Rosenberg""]",,Leading Innovation in Arts and Culture,"[""37"", ""227""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University"", ""National Arts Strategies""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a7/4cc520c88511e59c1a01ad7070be44/COURSE_LOGO_SQUARE.jpg,"[""en""]",[],arts-culture-innovation,[],,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",Z-R47UYCEe-_Zwr_8MK9PQ,v2.ondemand,"Unlock the full potential of generative AI and become a master of prompt engineering. Dive deeper into how you can use In-context Learning to build better and more reliable prompts. See how Retrieval Augmented Generation (RAG) works and what can go wrong that you can counteract with fact-checkable prompt formats. Overcome your struggles in getting the right output from generative AI models with template-based output formats to achieve precision in your interactions with AI models. Tap into powerful AI capabilities for tasks ranging from social media comment analysis to survey results interpretation and beyond. This course will empower you with the skills needed to build exceptional prompts, using simple techniques, such as preference-driven refinement, and become and expert in leveraging generative AI for productivity and creativity.

What You Will Learn:

In-Context Learning: Understand how to provide context within prompts to guide AI models towards more accurate and relevant outputs. Learn techniques to embed contextual information that enhances the model’s understanding and performance.

Retrieval Augmented Generation (RAG): Explore how to integrate retrieval systems with generative models to provide more precise and informed responses. This module covers the mechanisms to combine the strengths of both retrieval and generation.

Template Pattern and Examples: Master the art of crafting template-based prompts to achieve consistent and desired outputs. Learn how to tell generative AI to fit its output into your format and overcome struggles with getting exactly what you want.

Tapping Into AI Capabilities for Everyday Use: Delve into practical applications such as analyzing social media comments, interpreting survey results, and other everyday tasks where generative AI can make a significant impact. Gain hands-on experience with real-world examples.

Building Great Prompts: Discover simple methods for constructing effective prompts. Learn how preference-driven refinement can elevate your prompt engineering skills, ensuring that outputs meet your exact needs and preferences.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""4639533""]","[""Dr. Jules White""]",INTERMEDIATE,Advanced Prompt Engineering for Everyone,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2d/3c29dcbd194d058c557741b41971bf/juleswhite_3d_colorful_volumeric_super_vibrant_gradient_shape_b83cd0da-3b23-4099-a7e6-235f0f986018.png,"[""en""]","[""a9PgA8dlQdq2X05pcRS0Kw""]",advanced-prompt-engineering-for-everyone,[],,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",BK4OHYS0Ee-uPQ6cY8b-gw,v2.ondemand,"This course is intended for individuals who'd like to work with data from their organization  but don't know where to start. We'll combine generative AI and your insights to structure research questions, understand the variables in your dataset, and begin describing the data for the purpose of generating insights into better decisions.  After taking this course, learners will know how to identify the outcomes and predictors in a dataset and how to summarize different types of variables in a dataset using generative AI.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""7311681""]","[""William Doyle""]",BEGINNER,From Data to Decisions: Getting Started with AI,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fe/70b75f7f2142a7a74cb68f04563355/data-to-decisions-start.jpg,"[""en""]","[""0uDHAYaISsqOiTvNI85-3w""]",data-to-decisions-start,[],4 hours,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",ypzJLEkYEe-mywr_6bZvLw,v2.ondemand,"Agentic AI is a type of AI that combines Generative AI with tools and actions, allowing us to build ""agents"" to assist us with everyday tools like Gmail, Office365, Google Sheets, Salesforce, etc. These agents can perform tasks on our behalf, such as updating a spreadsheet or sending an email. There are classes that teach these Agentic AI concepts, but they are geared towards programmers. If you aren't a programmer, they won't teach you how to build agents to help with your daily tasks.

This class will teach you how to use ChatGPT and Zapier to build your own agents to help prioritize tasks, keep track of expenses, plan meals and shopping lists, etc. These won't be tools that require you to cut and paste the results back into an email; these will be tools that can directly create a draft email and put it into your email account or allow you to snap a picture of a receipt on the go and have it show up in a spreadsheet. These agents can automate and take action for you.

By the end of this class, not only will you understand state-of-the-art aspects of Agentic AI, but you will have built your own Travel Expense Agent. Your agent will be able to take a picture of a receipt or a description of an expense and catalog it into a Google Sheet. It will check your expense with another agent for completeness, ensure the expense isn't already in the spreadsheet, and even draft an email to your administrator with a simple reimbursement report.

This course will transform the way you work.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,ChatGPT & Zapier: Agentic AI for Everyone,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/87/f53a62e6c84b5c9be99db814e19f00/juleswhite_3d_colorful_volumeric_organic_rounded_vibrant_highly_ed068faa-2a26-4d84-94b6-5cbfb2614a39.png,"[""en""]","[""mMyPYePRSW6zl_JfQ6Iq6g""]",agentic-ai-chatgpt-zapier,[],~2hrs a week,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",7hQFxI8VEfCX0Qr_xQICLQ,v2.ondemand,"Forget everything you know about traditional artificial intelligence. Generative AI and Agentic AI aren’t just new tools—they’re a new form of cognitive labor. They don’t simply analyze information; they take action, execute multi-step workflows, and deliver outcomes that once required teams of experts. From diagnosing equipment failures with a single photo to autonomously building full-stack software applications in minutes, AI labor is redefining what organizations can achieve.  

This course shows leaders how to harness it strategically—before their competitors do.

In Generative AI & AI Agent Organizational Strategy for Leaders, you’ll learn why AI is no longer an IT initiative, a technical experiment, or a siloed innovation project. It is now a strategic workforce capability—a new category of labor that every employee can deploy through conversation, creativity, and problem-solving. You’ll discover how AI agents unlock 100x–1000x productivity gains, why vendor-locked “AI add-ons” can cripple your innovation capacity, and how organizations must rethink procurement, capability development, and labor strategy to stay competitive.  

You’ll see firsthand how simple inputs—a photo, a document, a spreadsheet, a menu, a policy—can instantly become powerful AI-driven systems that perform tasks previously impossible or cost-prohibitive. Leaders will explore how employees at every level can use AI to enhance decision-making, compress time, and scale expertise, not replace roles. The real competitive advantage comes from teaching your workforce to think in conversations, design AI workflows, and orchestrate these new digital laborers effectively.  

By the end of this course, you won’t just understand what agentic AI is—you’ll know how to operationalize it. You’ll learn how to:
	•	Build an organizational AI labor strategy that attracts the “best and brightest” models and keeps you vendor-independent.  
	•	Identify high-value starting points using simple but transformational use cases.  
	•	Train your workforce to solve problems through conversational design rather than code.  
	•	Foster innovation by enabling teams to experiment rapidly with documents, images, and real-world workflows.
	•	Differentiate meaningful strategic AI capability from hype, gimmicks, and tools that limit your future.

Whether you lead a large enterprise, a fast-growing team, or a mission-driven organization, this course will give you a powerful framework for navigating the AI revolution. You’ll learn how to scale AI labor across your workforce, unlock new forms of value, and build an organization that moves faster, thinks smarter, and out-innovates the competition.

The future belongs to leaders who understand AI not as technology—but as labor. This course will teach you how to lead in that future.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,Generative AI & AI Agent Organizational Strategy for Leaders,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/77/e2fb987dba466bb43ab72ac737eb68/icon3.png,"[""en""]","[""AOCDpV8FT-q49Dn2K2rTeQ""]",generative-ai-strategy,[],5hrs,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert""]",VYepDDszEfC3HAr_0KfBDw,v2.ondemand,"Your AI can write the perfect email, but can it actually send it? It can analyze your calendar, but can it schedule the meeting? The gap between AI's intelligence and its ability to take action has been the biggest barrier to true automation—until Model Context Protocol (MCP) broke it wide open.
MCP is the revolutionary protocol that gives AI agents actual agency—the power to discover, select, and use your business tools autonomously. When you tell an AI agent to ""add this travel expense,"" MCP enables it to list your spreadsheet rows, identify what's missing, and add the expense directly—no human intervention required. It's the difference between an AI that tells you what to do and one that does it for you.

Think of MCP as the universal translator between AI intelligence and your computer systems. It allows AI agents to automatically discover available tools—from email senders to CRM updaters to database queries—and use them in intelligent sequences to solve complex problems. The AI enters a powerful loop: assess the task, select a tool, execute through MCP, evaluate results, and repeat until the job is done. You provide the goal; the AI handles the execution.

This course teaches anyone—regardless of technical background—how Model Context Protocol actually works. We skip the technical minutiae and focus on the concepts that matter: how MCP enables AI autonomy, how it uses tools, and why it's transformative. You'll learn to integrate MCP into the AI tools you already use, like ChatGPT and Claude, transforming them from smart assistants into autonomous agents that can check your calendar, update your spreadsheets, send your emails, and manage your workflows. This isn't about becoming a programmer; it's about understanding the technology well enough to design solutions, lead implementations, and strategize competitive advantages.

By the end of this course, you'll possess the knowledge to evaluate MCP solutions, identify automation opportunities, and lead your organization's transition to autonomous AI. You'll understand not just what MCP can do, but how to harness it strategically—turning AI from a productivity tool into a force multiplier.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,Model Context Protocol for Leaders: Generative AI Agents,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/47/14fbcb09a3427f84672f521ed40cb1/juleswhite_3d_colorful_volumeric_vibrant_reflective_geometric_o_9ef36942-1570-4efe-90e2-bf712ec01e0f-2.png,"[""en""]",[],model-context-protocol-for-leaders,[],3hrs,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert""]",p6GNi4gDEeW0iQ6RUMSWEQ,v2.ondemand,"Learn how advances in biomedicine hold the potential to revolutionize drug development, drug treatments, and disease prevention: where are we now, and what does the future hold? This course will present short primers in genetics and mechanisms underlying variability in drug responses. A series of case studies will be used to illustrate principles of how genetics are being brought to bear on refining diagnoses and on personalizing treatment in rare and common diseases. The ethical and operational issues around how to implement large scale genomic sequencing in clinical practice will be addressed. 

After completing this course, learners will understand
1. The ways in which genetic variants can contribute to human disease susceptibility
2. How to choose among drug therapies based on genetic factors  
3. That the functional consequences of the vast majority of genetic variants discovered by modern sequencing are unknown.

This course is targeted primarily at physicians 5+ years out of training. Other healthcare providers, medical/health sciences students, and members of the public may also be interested. 

Course launches January 15, 2016.

* The information presented in “Case Studies in Personalized Medicine” is offered for educational and informational purposes only, and should not be construed as personal medical advice. If you have questions or concerns about a medical matter, please consult your doctor or other professional healthcare provider.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""2819004""]","[""Dan Roden, M.D.""]",,Case Studies in Personalized Medicine,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/33/2b7090986211e5aaba6fecc4615222/PM_IMGFIL_CourseSquareIconAlt.jpg,"[""en""]",[],personalizedmed,[],2-4 hours/week,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",oO4R6zi0Ee-hvAr_8yolJQ,v2.ondemand,"My son is going to grow up in a completely different world that is filled with generative AI (e.g., ChatGPT, Claude, LLama, etc.). I think this is a world of possibility, creativity, and deep thought that will enrich the way we think and solve problems. I want to make sure that my son is set up for success in this new world and understands how to use generative AI in a way that helps him learn, create, and solve problems. 

Even though generative AI seems obvious to use, it isn't. Really learning to innovate and succeed with generative AI requires a change in mindset about the way we use it and how we solve problems. We have to teach people to think more, not less about what they are doing.

I spent the last year working with my son to empower him with the skills to use generative AI to augment and amplify his critical thinking and creativity. I distilled this teaching into a series of courses that you can use to help teach your kids, either at home or in the classroom, these same skills. This is the first of these courses.

Some of the things that we have done that you will learn to do with your kids:

- Take pictures of anything and have generative AI turn the photos into world records that you can fact check
- Interactively brainstorm how to build anything out of any material using generative AI as your partner
- Invent new games from photos of everyday objects

I teach a course on Prompt Engineering, which is the study of how you converse and solve problems with generative AI that 100,000s of people have enrolled in. I have gotten to hear about how companies all over the world are changing the future of work with generative AI. These courses are specifically designed to help you teach kids to succeed in this new world.

This course is meant for parents and teachers to do with kids. You watch the videos, preview the exercises, and then lead kids through the fun activities. You decide what to show and how to best communicate with your kids. Along the way, not only will your kids learn to innovate with generative AI, but it will reshape how you use it personally.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""4639533""]","[""Dr. Jules White""]",,"Generative AI for Kids, Parents, and Teachers","[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c2/d92ec9f209410885c8e87f8872bbb0/DALL-E-2024-06-30-16.32.22---A-highly-reflective-white-Lego-rocket-blasting-off-depicted-in-a-humorous-manner.-The-background-shows-a-colorful-setting-with-a-launchpad-and-scatte.webp,"[""en""]","[""Hpeb5O2dQ7G-Ly5XVxwCcA""]",generative-ai-for-kids,[],,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",S5ROG7MvEe-zWAr_3gwxmw,v2.ondemand,"Are you ready to lead your organization into the future of cybersecurity while safeguarding privacy in an increasingly AI-driven world? This primer provides an essential foundation in generative AI, exploring its transformative potential and the specific cybersecurity and privacy risks it introduces. Learn to embrace AI’s capabilities while maintaining trust, compliance, and security in your organization.


What You'll Learn:

- Safeguard Organizational Privacy: This primer will help you understand the privacy implications of AI systems and the risks posed by data fusion across platforms.

- Address Emerging AI-Specific Threats: Develop a clear understanding of vulnerabilities like prompt injection, deepfakes, AI-enhanced phishing, and adversarial text in AI deployments.

- Build Confidence in AI Adoption: Gain the foundational tools and techniques to implement secure environments for AI development and responsible usage.

Who Is This Course For?

- Cybersecurity and Privacy Leaders: Seeking a primer to harness AI while preserving organizational integrity.

- IT Professionals: Interested in responsibly implementing AI within technical infrastructures.
Business Executives: Looking for a foundational understanding of AI integration without compromising compliance or ethics.

- Policy Makers: Aspiring to shape legislation around AI and privacy with a deep technical primer.


Why Take This Course?

Generative AI offers unmatched opportunities to enhance security and privacy, but it also brings novel challenges. From adversarial risks to complex data privacy concerns, leaders need a clear and concise primer to navigate these complexities effectively.

This course provides the essential knowledge and skills to balance innovation with protection. By the end, you’ll be empowered to lead AI initiatives that drive progress while mitigating the unique cybersecurity risks posed by generative AI. With this primer, you’ll confidently lay the groundwork for safe and responsible AI adoption.","[{""subdomainId"": ""security"", ""domainId"": ""information-technology""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""4639533"", ""80132""]","[""Dr. Jules White"", ""Dr. Sam Hays""]",BEGINNER,Generative AI Cybersecurity & Privacy for Leaders: A Primer,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/52/2d05ee8e254504ba028b014a17c6d4/DALL-E-2024-12-05-12.50.08---An-abstract-colorful-and-reflective-shield-shaped-logo-representing-generative-AI-security-and-privacy.-The-shield-is-composed-of-vibrant-flowing-g.webp,"[""en""]","[""6aiqZI4uRNe4-ALvqaygjA"", ""yZ-0iszHS06h1vwohA8Z8Q""]",generative-ai-security-privacy,[],5hrs,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert""]",VY0l-mxYEe-6xRKldbKQ1w,v2.ondemand,"Dive into the fascinating journey of artificial intelligence, from its theoretical beginnings to today's powerful generative models. This course offers a unique perspective on how AI has transformed over decades, highlighting the crucial developments in deep learning that paved the way for modern AI breakthroughs.

After completing this course, you will be able to:
- Trace the evolution of AI from its early concepts to modern generative models
- Identify key technological breakthroughs that enabled the rise of generative AI
- Understand the fundamental differences between traditional AI and generative AI
- Recognize potential applications and impacts of generative AI across various fields

You'll gain insights into the game-changing advancements—like self-supervised learning and transformers—that propelled generative AI to its current prominence. By understanding this history, you'll be better equipped to anticipate future trends and applications in AI.

Whether you're an AI enthusiast, a professional looking to leverage AI in your field, or simply curious about the technology shaping our future, this course provides valuable context to help you navigate the exciting world of generative AI.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""137689304""]","[""Jesse Spencer-Smith""]",BEGINNER,The History and Relevance of the Rise of Generative AI,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d7/d48d396ef8494c858d31169180559a/4d_hues_of_gold_5.png,"[""en""]",[],history-and-relevance-of-generative-ai,[],"One week of learning, one day for hands-on projects",cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",dHvh1wLoEfGhvhK57xOdSQ,v2.ondemand,"Build AI Agents That Actually Work

AI agents are everywhere—but most of them fail in frustrating, unpredictable ways. They get confused, waste tokens, hit dead ends, and require constant babysitting. This course teaches you the patterns and architectures that separate agents that struggle from agents that succeed.

Using Python and the Model Context Protocol (MCP), you'll learn to build AI agents from the ground up—and more importantly, you'll learn why certain designs work while others fall apart.

What You'll Learn:

- Build MCP Tool Servers — Create the bridge that lets AI agents interact with any system: filesystems, databases, APIs, or your own custom tools

- Build a Research Agent - Create your own research agent that can explore your computer and help answer questions with documents, find that missing data, or explain how code works.

- Master the Agent Loop — Understand the universal pattern every AI agent follows: PERCEIVE → DECIDE → ACT → OBSERVE → REPEAT

- Connect agents to tools — Wire up LLMs to discover, select, and execute tools autonomously

The Patterns That Make Agents Reliable:

- Response-as-Instruction — Your tools don't just return data—they guide agent behavior in real-time. Learn to design tool responses that teach the agent what to do next, when to stop, and how to communicate results.

- Failing Forward — Turn errors from dead ends into stepping stones. Design error messages that teach agents how to recover—automatically, without human intervention. For the first time in computing history, your error messages have a reader that can actually do something about them.

- Intelligence Budget — Every token in the context window is precious attention. Learn to maximize signal and minimize noise—pre-digesting data in tools, using scripted orchestration for mechanical work, and reserving the agent's cognitive resources for decisions that actually require intelligence.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,AI Agents with Model Context Protocol,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6e/7ad9bcd3b146e19f35aeb9ee45396e/juleswhite_3d_colorful_flat_vibrant_geometric_shape_logo_long_s_7e50e466-66d6-4712-af4a-bc67865171d1.png.webp,"[""en""]","[""jYASImZYSjOFquIvMAgTQw""]",ai-agents-model-context-protocol,[],,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",swIVLUuLEe-mvw5B1R6xfQ,v2.ondemand,"Forget everything you know about traditional AI. Agentic AI doesn’t just analyze data; it acts on it. From drafting sales emails to updating CRMs, it’s not just a tool—it’s a game-changer. Are you ready to harness its power? 

Agentic AI combines Generative AI with tools and actions, enabling the creation of ""agents"" that revolutionize how work is done. Unlike tools that simply generate static outputs, these agents take action—drafting emails directly in your inbox, updating a CRM with client meeting notes, or analyzing sales data and producing a PowerPoint presentation.

In the fast-paced world of AI-enhanced work, understanding Agentic AI isn’t optional—it’s your competitive advantage. These intelligent agents are reshaping how tasks are executed, decisions are made, and value is created across industries. By automating repetitive workflows and enhancing high-value tasks, they empower teams to focus on innovation and strategy. Agentic AI is transforming industries, and this course will ensure you’re leading the charge, not playing catch-up. Understanding their capabilities and limitations is essential for staying competitive in this rapidly evolving landscape. 

This course demystifies Agentic AI, teaching you how these agents work and how to design them to suit your needs. By the end, you’ll not only know how to differentiate genuine AI innovation from overhyped gimmicks but also be equipped to build tools that deliver tangible value. Whether you’re in business, technology, or leadership, this course will help you stay ahead of the curve.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,Agentic AI and AI Agents: A Primer for Leaders,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/87/f53a62e6c84b5c9be99db814e19f00/juleswhite_3d_colorful_volumeric_organic_rounded_vibrant_highly_ed068faa-2a26-4d84-94b6-5cbfb2614a39.png,"[""en""]","[""vOVIYRaJQMmdANF2vIRO0w"", ""W4Eg6e6LSB-X2Y9MvdsxSg"", ""WLIUbs-gRu-vli-vXotrhg"", ""-2TofyLDQaqp804mElZgOw"", ""AOCDpV8FT-q49Dn2K2rTeQ""]",agentic-ai,[],~2hrs a week,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",InPZ8m01EeW8nRIpKnwp7Q,v2.ondemand,"This 4 week MOOC builds upon the core Android app components and concurrency frameworks covered in Course 2 by focusing on started and bound services, local inter-process communication (IPC), and content providers. Case study apps will be examined from multiple perspectives to learn how to program these app components using Android's material design paradigm. Students will work incrementally on a hands-on project involving a material design-based RSS reader app. Each week you will add additional capabilities to the project, based on material covered in the lecture videos. You'll spend roughly 4 hours per week watching video lectures, taking quizzes, and programming assignments with Java and Android.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""1337829"", ""8511224""]","[""Dr. Douglas C. Schmidt""]",BEGINNER,"Android App Components - Services, Local IPC, and Content Providers","[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/65/c16520ba3e11e5af6189e4b33f3c68/android_deployment-2.jpg,"[""en""]","[""R_YiF7okEeWxLgqFDcygGQ""]",androidapps-2,[],,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",72OBQx4JEfCpIQr_6QDb7Q,v2.ondemand,"AI Agents Are the Next Leap in Software. Learn to Build Them in Java.

AI agents aren’t passive tools. They think, act, and solve problems—without waiting for instructions. That’s the future of software. And in this course, you’ll learn how to build it.

Frameworks come and go. Principles last. This course cuts through the noise to teach you how AI agents really work—using rock-solid Java.

Forget tutorials on trendy APIs that’ll be dead by next quarter. You’ll learn to build AI agents from the ground up. No fluff. No shortcuts. Just the core architecture that powers intelligent systems—knowledge that stays useful no matter how fast the landscape shifts.

In this course, you will:

- Master Java-based agent architectural fundamentals - Understand the core GAME components (Goals, Actions, Memory, Environment) that make AI agents tick and how they work together in a cohesive Java system

- Leverage Java's strengths for efficient agent development - Use Java's reflection, annotation processing, and strong typing to create robust, maintainable agent frameworks with minimal boilerplate code

- Rapidly prototype and implement Java agents - Learn techniques to quickly design Java agent capabilities with prompt engineering before writing a single line of code, then efficiently translate your designs into working Java implementations

- Connect Java AI agents to real-world systems - Build Java agents that can interact with file systems, APIs, and other external services

- Create Java-powered tool-using AI assistants - Develop Java agents that can analyze files, manage data, and automate complex workflows by combining LLM reasoning with Java's extensive libraries and functionality

- Build Java developer productivity agents - Create specialized Java agents that help you write code, generate tests, and produce documentation to accelerate your software development process

Why Principles Matter More Than Frameworks

The AI landscape is changing weekly, but the core principles of agent design remain constant. By understanding how to build agents from scratch, you'll gain:

- Transferable knowledge that works across any LLM or AI technology

- Deep debugging skills because you'll understand what's happening at every level

- Framework independence that frees you from dependency on third-party libraries and allows you to succeed with any of them

- Future-proof expertise that will still be relevant when today's popular tools are long forgotten

By the end of this course, you won't just know how to use AI agents—you'll know how to build them in Java, customize them, and deploy them to solve real business problems.

This course will teach you these concepts using OpenAI's APIs, which require paid access, but the principles and techniques can be adapted to other LLMs.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,AI Agents in Java with Generative AI,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/24/da74e209664fcc8cf6573dfc8d38ae/90ed35c5-778f-44d2-a65a-5b0cf2e7dc5b_grid_0.webp,"[""en""]","[""e9RQMyXNThGJtEWBZjyi2A""]",ai-agents-java,[],~2hrs a week,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert""]",xUtYTfWIEe2WoQ5A4wgsnQ,v2.ondemand,"Want to learn the basics of computer programming in a fun and innovative way? This course introduces computer programming using an educational block-based visual programming environment called NetsBlox (https://editor.netsblox.org/), emphasizing modern computer science concepts like networking, the internet, and distributed computing. The curriculum is hands-on, focusing on translating ideas into working computer programs and developing a mastery of practical computational literacy. After completing this course, you will have a solid foundation to learn professional languages like Python, Java, etc.

The course is especially suitable for K12 teachers and students who want to get a gentle introduction to computer science.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""domainId"": ""information-technology"", ""subdomainId"": ""networking""}]","[""7529359"", ""74680116"", ""80978834""]","[""Akos Ledeczi"", ""Brian Broll"", ""Clifford B Anderson""]",BEGINNER,Programming for a Networked World ,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ed/a8bedde4094a24b620b4997c4c310a/My-project-1.png,"[""en""]",[],programming-for-a-networked-world,[],"5 weeks of study, 3-5 hours/week",cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",xejbELvoEeqBKg6yFm_ByQ,v2.ondemand,"The course builds on the foundation laid by the first course of the Specialization called “Introduction to Programming with MATLAB.” It covers more advanced programming concepts such as recursion, vectorization, function handles, algorithm efficiency and others. At the same time, it presents many features that make MATLAB a powerful programming environment for engineering and scientific computing, such as  its support for object oriented programming, the new user interface design environment and Live Scripts.

By the end of this course, you will be familiar with more advanced computer programming concepts, able to write more efficient code, and able to create object oriented MATLAB applications with graphical user interfaces.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""7529359"", ""8333701""]","[""Akos Ledeczi"", ""Mike Fitzpatrick""]",INTERMEDIATE,Mastering Programming with MATLAB,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/97/d6f96a9d454c319a91672ebc3c41c2/Logo2_option2.png,"[""en""]","[""child~vAVOQLSISFiqtAcOZW12Yw""]",advanced-matlab-programming,[],,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",mDu-kRbWEfCwdwr_1g1Hsw,v2.ondemand,"Transform Your Decision-Making with AI Deep Research.

While your competitors spend weeks gathering information through traditional research methods, you'll master cutting-edge agentic AI tools that conduct comprehensive, autonomous investigations in minutes. This advanced course teaches executives and strategic leaders how to leverage generative AI's most powerful research capabilities to create sustainable competitive advantages.

What is Deep Research? Deep research is an advanced AI capability that works like hiring a team of PhD researchers who autonomously investigate complex topics for 10-15 minutes, gathering information from multiple sources, cross-referencing findings, and producing comprehensive 10-20 page reports with proper linked citations. Unlike standard AI chat where you get instant but limited responses with potentially incorrect citations, deep research agents conduct extended self-dialogue, adapt their search strategies based on what they discover, and synthesize vast amounts of current information into cohesive analysis—delivering the depth and rigor of professional consulting work in a fraction of the time and cost. Best of all, they provide fact checkable citations and links.

What You'll Master:

Instant Strategic Consulting: Deploy AI agents that deliver PhD-level analysis in 15 minutes instead of hiring consultants for weeks. Get comprehensive market assessments, competitive intelligence, and strategic recommendations when traditional consulting isn't feasible, affordable, or fast enough.

Elite Talent Discovery: Systematically identify and evaluate top performers across any domain with AI Deep Research—from ""Java AI developers in Nashville"" to ""automotive specialists for vintage Toyotas."" Move beyond superficial LinkedIn searches to evidence-based expertise verification that reveals genuine competence.

Advanced Procurement Intelligence: Generate detailed buying or procurement guides tailored to your specific situation and constraints with AI Deep Research. From HVAC systems for century-old homes to enterprise software for your industry, get expert-level purchasing recommendations with vendor comparisons, pricing strategies, and negotiation tactics.

Cross-Domain Team Assembly: Solve complex problems requiring interdisciplinary expertise by automatically identifying and connecting specialists across multiple fields with AI Deep Research. Perfect for research initiatives, strategic projects, or any challenge that spans technical domains.

Rapid Due Diligence: Compress weeks of research into hours for investment decisions, partnership evaluations, technology assessments, and market entries. Get comprehensive intelligence that traditional research timelines can't accommodate.

Actionable Intelligence Architecture: Design research tasks that deliver immediately implementable recommendations rather than abstract analysis. Learn to structure investigations that produce specific action plans, vendor contact lists, implementation roadmaps, and decision frameworks—transforming research from information gathering into strategic execution guidance that drives immediate business value.

What You Need: All you need is a generative AI account with Deep Research capabilities, such as ChatGPT Deep Research, Claude Research, or Gemini Deep Research. 

The leaders who master these AI research capabilities today will dominate their markets tomorrow. While your competitors are still scheduling meetings to plan their research, you'll already have the intelligence you need to make winning decisions. Information velocity isn't just an advantage anymore—it's the ultimate competitive differentiator.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,Generative AI Deep Research: Strategic AI Edge for Leaders,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8e/2e96cc98064845b7e8ae0cc69546a2/juleswhite_3d_colorful_volumeric_vibrant_reflective_geometric_o_b2d1b75c-993a-47e1-861c-d09327a3dc69.png,"[""en""]","[""-2TofyLDQaqp804mElZgOw""]",ai-deep-research-for-leaders,[],3hrs,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",gbVoaCPgEe6IABIijrVckw,v2.ondemand,"ChatGPT Advanced Data Analysis is going to transform tasks by helping amplify your productivity and supporting your creativity. ChatGPT Advanced Data Analysis can help you augment your intelligence and automate tasks, such as:

1. Turning an Excel file into visualizations and then slides inside a PowerPoint presentation; extracting data from a series of PDFs
2. Answering questions about what is in the PDFs, and visualizing the data; automatically determining if a receipt complies with a travel policy captured in a PDF
3. Transforming a document into a training presentation and associated quizzes; reading and reorganizing a set of documents based on what they contain
4. Producing social media and marketing content from a series of documents or video transcripts
5. Automating resizing and editing of videos/images while also cataloging them in a CSV

Anyone with ChatGPT Advanced Data Analysis can tap into these capabilities without any prior experience in programming. The course teaches you how to converse with ChatGPT Advanced Data Analysis to accomplish these tasks, how to think about problem solving, and what types of tasks are good fits for the tool. You will learn a wide range of building blocks that you can apply in your own work and life. 

Large language models respond to instructions and questions posed by users in natural language statements, known as “prompts”. Although large language models will disrupt many fields, most users lack the skills to write effective prompts. Expert users, who understand how to write good prompts, are orders of magnitude more productive and can unlock significantly more creative uses for these tools. This course will introduce you to prompt writing skills that target ChatGPT Advanced Data Analysis.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,ChatGPT Advanced Data Analysis,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7c/669fbf899e45ba9aa38650b2d65f51/sparc7.png,"[""en""]","[""WLIUbs-gRu-vli-vXotrhg"", ""7yb-5IuxRsewkoQLuFpH6A"", ""hdt6rMl0TJC-7KKuEFUTcg"", ""AZal18caQfOPCtxczxMkgg"", ""cR_MndEVQwqrXxahGetzSg""]",chatgpt-advanced-data-analysis,[],2-3,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",f86BkPTXEe6b_Ar_9IRNEQ,v2.ondemand,"In the era of Generative AI, the demand for personalized and specialized Generative AI assistants is skyrocketing. Large language models like GPTs have demonstrated their remarkable capabilities, but what if you could harness their power to create custom AI assistants tailored to your specific needs? Welcome to the world of custom GPTs, where you can build intelligent systems that understand your domain, speak your language, and solve your unique challenges.

This cutting-edge course will guide you through the exciting journey of creating and deploying custom GPTs that cater to diverse industries and applications. Imagine having a virtual assistant that can tackle complex legal document analysis, streamline supply chain logistics, or even assist in scientific research and hypothesis generation. The possibilities are endless!

Throughout the course, you'll delve into the intricacies of building GPTs that can use your documents to answer questions, patterns to create amazing human and AI interaction, and methods for customizing the tone of your GPTs. You'll learn how to design and implement rigorous testing scenarios to ensure your AI assistant's accuracy, reliability, and human-like communication abilities.

Prepare to be amazed as you explore real-world examples built around a GPT for Travel and Business Expense Management. The examples show how a GPT can help users book flights, hotels, and transportation while adhering to company policies and budgets. Additionally, the GPT can help streamline expense reporting and reimbursement processes, ensuring compliance and accuracy.

Whether you're a business leader, entrepreneur, developer, or educator, this course will equip you with the skills to harness the transformative potential of custom GPTs. Unlock new realms of productivity, innovation, and personalized experiences by building AI assistants that truly understand and cater to your unique needs.

Enroll now and join the forefront of AI revolution, where you'll learn to create intelligent systems that not only comprehend but also anticipate and exceed your expectations.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,OpenAI GPTs: Creating Your Own Custom AI Assistants,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8c/f0000faea944f8b1ef46d0b98ff784/juleswhite_3d_colorful_volumeric_gradient_shape_5730b61c-a143-4ff4-a92e-4c359f30fd74.webp,"[""en""]","[""Zrasx6gnSCKt3RTf45mz9Q"", ""W4Eg6e6LSB-X2Y9MvdsxSg"", ""a9PgA8dlQdq2X05pcRS0Kw"", ""AZal18caQfOPCtxczxMkgg"", ""2QVR-nlCRSu7ghRfUDSaTg"", ""mMyPYePRSW6zl_JfQ6Iq6g"", ""6aiqZI4uRNe4-ALvqaygjA"", ""yZ-0iszHS06h1vwohA8Z8Q"", ""ux0MaVNwTzWn8jlntVix4A"", ""AOCDpV8FT-q49Dn2K2rTeQ""]",openai-custom-gpts,[],,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",HyrbD487EfCj8wr_-Cru9Q,v2.ondemand,"AI Agents Are the Next Leap in Software. Learn to Build Them in TypeScript.

AI agents aren't passive tools. They think, act, and solve problems—without waiting for instructions. That's the future of software. And in this course, you'll learn how to build it.

Frameworks come and go. Principles last. This course cuts through the noise to teach you how AI agents really work—using TypeScript and JavaScript.

Forget tutorials on trendy APIs that'll be dead by next quarter. You'll learn to build AI agents from the ground up. No fluff. No shortcuts. Just the core architecture that powers intelligent systems—knowledge that stays useful no matter how fast the landscape shifts.

In this course, you will:

- Master TypeScript-based agent architectural fundamentals - Understand the core GAME components (Goals, Actions, Memory, Environment) that make AI agents tick and how they work together in a cohesive TypeScript system

- Leverage TypeScript's strengths for efficient agent development - Use TypeScript's type system, decorators, and modern JavaScript features to create robust, maintainable agent frameworks with excellent developer experience and type safety

- Rapidly prototype and implement TypeScript agents - Learn techniques to quickly design agent capabilities with prompt engineering before writing a single line of code, then efficiently translate your designs into working TypeScript implementations

- Connect TypeScript AI agents to real-world systems - Build agents that can interact with file systems, APIs, databases, and other external services using Node.js and the rich npm ecosystem

- Create TypeScript-powered tool-using AI assistants - Develop agents that can analyze files, manage data, and automate complex workflows by combining LLM reasoning with TypeScript's extensive libraries and functionality

- Build TypeScript developer productivity agents - Create specialized agents that help you write code, generate tests, and produce documentation to accelerate your software development process

Why Principles Matter More Than Frameworks:

The AI landscape is changing weekly, but the core principles of agent design remain constant. By understanding how to build agents from scratch, you'll gain:

Transferable knowledge that works across any LLM or AI technology

Deep debugging skills because you'll understand what's happening at every level

Framework independence that frees you from dependency on third-party libraries and allows you to succeed with any of them

Future-proof expertise that will still be relevant when today's popular tools are long forgotten

By the end of this course, you won't just know how to use AI agents—you'll know how to build them in TypeScript, customize them, and deploy them to solve real business problems.

You will need an OpenAI API Key or equivalent API keys from Anthropic, Google, etc.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,AI Agents in Typescript/Javascript with Generative AI,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/24/da74e209664fcc8cf6573dfc8d38ae/90ed35c5-778f-44d2-a65a-5b0cf2e7dc5b_grid_0.webp,"[""en""]","[""FDumAmmiTYmo2Y4F3k01RQ""]",ai-agents-javascript-typescript,[],~2hrs a week,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",PXCFpKKxEe-NWAr_wjSR3w,v2.ondemand,"Imagine if your documents—policies, procedures, or even meeting notes—could magically transform into fully functional Excel spreadsheets. What used to take hours of manual labor, deciphering complex rules, and building formulas can now be done in minutes with the help of ChatGPT.  This course is your gateway to unlocking that magic, turning the impossible into the achievable. 

Through hands-on videos, practical assignments, and real-world analogies, you'll learn how to design, prototype, and populate Excel spreadsheets like never before. For instance, think of ChatGPT as your personal assistant who not only listens to your requests but also drafts Excel formulas, creates VBA scripts, and generates polished visualizations—all while making sure everything works perfectly through robust two-sided accuracy checks.

Here’s what you’ll achieve:

- Transform Policies into Spreadsheets: Imagine taking a dense HR policy document and converting it into a sleek, interactive tool for tracking leave requests—all by simply chatting with ChatGPT.

- Prototyping on the Fly: Like sketching ideas on a napkin, ChatGPT helps you rapidly prototype Excel sheets and populate them with dummy data, giving life to your ideas in moments. Snap a picture of the inside of your pantry and have it turned into an inventory tracking system.

- Excel Formula Wizardry: Tame the most complex formulas with ChatGPT’s guidance, from financial models to error-proofed calculations, ensuring you can solve problems without breaking a sweat.

- Visualizations that Wow: Snap a picture of a graph or describe a chart, and ChatGPT will help you replicate or design it in Excel with precision and flair.

- Automate with VBA: Automate repetitive tasks by learning how ChatGPT can craft VBA scripts tailored to your unique needs—no programming experience required.

By the end of this course, you’ll have the skills to turn everyday challenges into Excel solutions, unlocking newfound productivity and creativity. Whether you’re a professional, a student, or simply someone who wants to do more with less effort, this course equips you to create, innovate, and excel like never before.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,ChatGPT + Excel: Master AI-driven Formulas & Visualizations,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6d/e5d345870a41d68149dfea4590e68d/juleswhite_3d_colorful_volumeric_organic_rounded_vibrant_highly_8472175d-e1bb-49e7-a76f-40d8aac79630.png,"[""en""]","[""8W2nYNA_SuCMYK82xV9qEQ""]",chatgpt-excel-formulas-visualizations,[],3hrs,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",CoO2oUtsEe-mywr_6bZvLw,v2.ondemand,"Struggling to prepare your team for unexpected cybersecurity threats? Imagine having an AI partner that can help you build hyper-realistic tabletop scenarios, practice decision-making under pressure, and uncover blind spots—all while saving time and resources. This course will guide you on a journey to revolutionize your approach to cybersecurity training by integrating ChatGPT into your tabletop exercises, ensuring your organization is ready for the real game.

What You'll Learn:

Create Dynamic and Realistic Cybersecurity Scenarios: Use ChatGPT to design interactive scenarios with branching decision trees. Craft exercises that adapt to participants’ choices, pushing them to think critically about complex challenges while uncovering new angles of attack.

Perform Individualized, Targeted Practice with Micro-Tabletops: Learn how to use ChatGPT to create ""micro-tabletops,"" small-scale exercises that allow individual team members or small groups to focus on their specific responsibilities and tools. These targeted simulations enable frequent practice, iterative hardening of specific domains (e.g., Active Directory or Okta), and integration with broader team exercises to ensure overall organizational preparedness.

Master the Flipped Interaction Pattern for Training: Discover how to let AI take the lead in tabletop facilitation. This unique approach allows ChatGPT to simulate evolving incidents, ask probing questions, and dynamically adapt based on your team’s responses—making every session a tailored learning experience.

Inject Real-World Pressure into Your Scenarios: Learn how to add authentic tension to decision-making exercises. With ChatGPT, you can create scenarios that mimic the real-world ripple effects of cybersecurity breaches, such as regulatory deadlines, stakeholder complaints, or operational disruptions.

Optimize Your Team’s Response Through Iterative Practice: Transform the way your organization practices cybersecurity. Generate instant feedback, identify critical gaps, and refine responses—all in a fraction of the time and cost of traditional tabletop methods.

Build Collaborative Decision-Making Skills Across Departments: Train technical, legal, and communications teams to coordinate effectively during crises. Use ChatGPT to highlight each group’s unique pressure points, ensuring all stakeholders are prepared for their roles in an incident response.


Who Is This Course For?

Cybersecurity Professionals: Overwhelmed by the time and cost of creating tabletops? Learn to streamline the process with AI.

IT and Security Teams: Want to simulate realistic, high-pressure incidents? Use ChatGPT to craft exercises that build confidence and capability.

Business Leaders and Decision Makers: Need to ensure your organization is ready for the unexpected? Gain insights into how AI can enhance readiness.

Educators and Facilitators: Interested in teaching cybersecurity skills interactively? Master tools and techniques to engage participants in novel and impactful ways.

Why Take This Course?

Cybersecurity breaches are inevitable, but unpreparedness doesn’t have to be. With ChatGPT, you can democratize access to high-quality training, creating customized, realistic exercises that challenge your team to respond effectively. Whether simulating a phishing attack, addressing regulatory fallout, or handling complex stakeholder dynamics, this course empowers you to enhance your incident response capabilities.

Imagine transforming your tabletops into immersive learning experiences—without the time, cost, and complexity of traditional methods. By the end of this course, you’ll have the skills to use generative AI for designing, facilitating, and iterating on exercises that keep your team sharp and ready for anything.

Join the growing number of professionals revolutionizing cybersecurity readiness with AI. Don’t get caught unprepared—enroll today and start building stronger defenses with ChatGPT!","[{""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""4639533"", ""80132""]","[""Dr. Jules White"", ""Dr. Sam Hays""]",BEGINNER,ChatGPT + Cybersecurity: AI-Powered Tabletops & Training,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/36/171a1194c94a24bd04419cf07585db/DALL-E-2024-12-07-09.38.39---An-abstract-colorful-and-reflective-shield-shaped-logo-representing-generative-AI-security-privacy-practice-and-coordination.-The-shield-features.webp,"[""en""]","[""yZ-0iszHS06h1vwohA8Z8Q""]",chatgpt-cybersecurity-table-tops,[],5hrs,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",MAUnL3WtEe6HfAqkyPm__w,v2.ondemand,"Imagine a world where your photos don't just capture memories, but also become intelligent assistants, helping you navigate and manage daily tasks. Welcome to ""GPT Vision: Seeing the World Through Generative AI"", a course designed to revolutionize how you interact with the world around you through the lens of Generative AI and photos.

In this course, you will learn to how take a picture of anything and turn it into: 

- a recipe
- a shopping list
- DIY plans to make it
- a plan to reorganize it
- a description for a social media post
- organized text for your notes or an email
- an expense report or personal budget entry

This course will teach you how to harness GPT Vision's power to transform ordinary photos into problem-solving tools for your job and personal life. No experience is required, just access to GPT-4(V) Vision, which is part of the ChatGPT+ subscription. Whether it's ensuring you've ticked off every item on your grocery list or creating compelling social media posts, this course offers practical, real-world applications of Generative AI Vision technology.

Social Media Mastery: Learn to create compelling descriptions for your social media photos with AI, enhancing your digital storytelling.

Capture Your Brainstorming: Take a picture of notes on a marker board or napkin and watch them be turned into well-organized notes and emailed to you. 

DIY and Culinary Creations: Explore how to use photos for DIY home projects and cooking. Discover how to generate prompts that guide you in replicating or creating dishes from images or utilizing household items for creative DIY tasks.

Data Extraction and Analysis: Gain expertise in extracting and analyzing data from images for various applications, including importing information into tools like Excel.

Expense Reporting Simplified: Transform the tedious task of expense reporting by learning to read receipts and other documents through GPT Vision, streamlining your financial management.

Progress Tracking: Develop the ability to compare photos of the real world with plans, aiding in efficient monitoring and management of project progress, such as how your construction project is progressing.

Knowledge Discovery: Learn about anything you see. Snap a picture, generate a prompt, and uncover a world of information about objects, landmarks, or any item you encounter in your daily life.

Organizational Mastery: Learn how to organize your personal spaces, like closets or storage areas, by using AI to analyze photos and suggest efficient organization strategies and systems.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,GPT Vision: Seeing the World through Generative AI,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d9/5df068833a44a390887ce32dc18ff4/juleswhite_3d_colorful_volumeric_gradient_shape_ee44113a-1a86-4bc1-9bdd-f4fb19d2c74f.png,"[""en""]","[""UZvJGpM0Sg-7Wn0x5mh82A"", ""awkDEYFaTFCN-0K_fgWJbQ"", ""cR_MndEVQwqrXxahGetzSg""]",gpt-vision,[],3hrs,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],[],Ec7jDAzAEe-PZgr_4p5lOw,v2.ondemand,"Generative AI is rapidly reshaping industries and the skills that students are going to be expected to have to be employable. As the pace of technological change accelerates, universities must innovate to stay competitive and ensure that they are giving students the skills that they need to be competitive. At the same time, generative AI offers the potential to transform university operations, from automating course scheduling and content creation to streamlining expense reporting and administrative functions.

This course provides university leaders with a foundation to understand enough of the key fundamentals of how generative AI works and what it can do to make effective strategic decisions. The course provides a primer on the innovative potential of generative AI across all disciplines and the opportunity for higher education to lead the way in reshaping how students learn and how we work in the future. It shows what is happening in industry and the strategic opportunities for institutions to focus on to help their students excel in the future of work.

The course also provides the foundation that an institution needs to get started innovating with generative AI, ranging from policy to platform. The course covers the essential platforms and infrastructure for effective generative AI integration in university settings, offering advice on investment priorities, efficient resource distribution, and pinpointing key advocates to create an interdisciplinary culture of innovation across campus.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""4639533"", ""6542365"", ""1244""]","[""Dr. Jules White"", ""Jeff Maggioncalda, Coursera CEO"", ""Andrew Ng""]",BEGINNER,Generative AI for University Leaders ,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0f/6c167bf36348899fdc97a78d7409f4/juleswhite_3d_colorful_volumeric_organic_rounded_vibrant_highly_b726a095-1ff1-42fb-b0d8-0b19d26abe69.png,"[""en""]",[],gen-ai-for-university-leaders,[],"~5 weeks, ~1 hour/week",cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert""]",Dvgs4iAXEeWKeQ6ae81EbQ,v2.ondemand,"This course will examine the music industry in the United States, with the unique perspective gained by Vanderbilt University’s location in Nashville, TN.  Nashville is a major center of music in the United States, and the music created here has a global reach, particularly in the country, rock, pop, singer-songwriter, and Americana genres.  However, students will learn that the basic principles of recording, marketing, copyright, licensing, and live performance are the same, regardless of musical style or genre.

The music business is one of the most rapidly changing industries in the US today.  It is also an industry filled with contradiction, and media headlines and anecdotal stories often add to the confusion.  Here are just a few statements paraphrased from recent news stories: 

* The music business has collapsed
* Demand for music is expanding at the greatest rate in history
* Historic recording studios are closing at an alarming rate
* More people are making recordings than ever before
* Musicians usually lose money touring
* Musicians usually make money touring
* Major artist pulls songs off streaming services because they don’t pay fairly
* Major artist makes a fortune from streaming services
* People won’t buy records anymore
* Vinyl record sales are soaring

This course will attempt to make sense of these seemingly contradictory trends and data, outline the basic structure and mechanisms of today’s music industry, and encourage students to think critically and entrepreneurially about the future of music.  Leaders from various areas of the music business will lend their perspectives through in-depth interviews, and footage from a recording session will give learners a behind the scenes look at how a song goes from the spark of an idea hummed into a cell phone to a finished recording.

Participants will grapple with questions about art and commerce which are both timeless and crucially important today, and will emerge from this course with tools allowing them to make more informed decisions as creators, promoters, and consumers of music.

Course launches February 19, 2016.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""1326353""]","[""Jen Gunderman""]",,Understanding the Music Business: What is Music Worth?,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/67/1b0be066f311e5a4b96bf44ed2f2ff/musicbiz_logo-_1_.png,"[""en""]",[],musicbiz,[],,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",Y9ZeEgBREfGh2BL9WZfHIw,v2.ondemand,"Build AI Agents That Actually Work

AI agents are everywhere—but most of them fail in frustrating, unpredictable ways. They get confused, waste tokens, hit dead ends, and require constant babysitting. This course teaches you the patterns and architectures that separate agents that struggle from agents that succeed.

Using TypeScript and the Model Context Protocol (MCP), you'll learn to build AI agents from the ground up—and more importantly, you'll learn why certain designs work while others fall apart.

What You'll Learn:

- Build MCP Tool Servers — Create the bridge that lets AI agents interact with any system: filesystems, databases, APIs, or your own custom tools

- Master the Agent Loop — Understand the universal pattern every AI agent follows: PERCEIVE → DECIDE → ACT → OBSERVE → REPEAT

- Connect agents to tools — Wire up LLMs to discover, select, and execute tools autonomously

The Patterns That Make Agents Reliable:

- Response-as-Instruction — Your tools don't just return data—they guide agent behavior in real-time. Learn to design tool responses that teach the agent what to do next, when to stop, and how to communicate results.

- Failing Forward — Turn errors from dead ends into stepping stones. Design error messages that teach agents how to recover—automatically, without human intervention. For the first time in computing history, your error messages have a reader that can actually do something about them.

- Intelligence Budget — Every token in the context window is precious attention. Learn to maximize signal and minimize noise—pre-digesting data in tools, using scripted orchestration for mechanical work, and reserving the agent's cognitive resources for decisions that actually require intelligence.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,AI Agents with Model Context Protocol & Typescript,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/21/72bfae38ae4d67a95312c74547ef7d/juleswhite_3d_colorful_flat_vibrant_geometric_shape_logo_long_s_faa6e0d3-7b10-459a-8985-1f41317a44c8.png.webp,"[""en""]","[""8YCk9FHeR-ORsbmKRm0jPQ""]",ai-agents-with-model-context-protocol,[],,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert""]",KpKHgml5Ee-o2Qr_2f2M0Q,v2.ondemand,"After taking this course, learners will be able to effectively integrate generative AI tools (Large Language Models, LLMs, like ChatGPT) into their project management workflows to enhance efficiency, communication, and decision-making while maintaining ethical standards and data security.
•	Learners will be able to apply practical AI-driven solutions to automate repetitive tasks and enhance daily project management operations.
•	Learners will be able to use generative AI to improve the accuracy of team communication
•	Learners will be able to identify and address potential ethical concerns and limitations when implementing AI in project management.
This course teaches how to effectively integrate generative AI into project management to automate tasks, enhance communication, and maintain ethical standards. Learners will understand the balance between AI capabilities and human expertise, ensuring responsible and efficient project outcomes.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""research-methods""}]","[""86221011""]","[""Bennett Landman""]",BEGINNER,Integrating Generative AI into Project Management,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/24/b9e6c41b55412789226a76e07dbc0f/course1-logo-sm.png,"[""en""]",[],integrating-generative-ai-into-project-management,[],3 hours,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",3m4z1XfuEe6AfxJZ3ZVmGQ,v2.ondemand,"Leaders are constantly seeking innovative tools to amplify their impact. Dive into the realm of Generative AI, a groundbreaking technology poised to redefine the leadership landscape more profoundly than the Internet itself. This course offers a comprehensive journey into understanding, applying, and mastering Generative AI as a robust tool to amplify leadership capabilities. 

You will gain hands-on experience that teaches you to use Generative AI for:

- Agenda Architecting: Let Generative AI craft impeccable agendas for you. Say goodbye to oversight and hello to perfectly planned meetings.

- Proposal Proficiency: Dive deep into complex proposals with AI by your side. Identify risks, ambiguities, and potential pitfalls with laser-sharp precision.

- Your Private Think-Tank: Use Generative AI as a confidential thought partner. Brainstorm, strategize, and refine your ideas with an AI confidant that's always ready.

- Masterful Communication: Draft emails, documents, and crucial materials with eloquence and precision. Let Generative AI be your co-author, ensuring your communications resonate with impact.

- Navigating HR Dynamics: Explore challenging HR conversations with added insight. Generative AI assists you in understanding nuances and guiding delicate conversations towards positive outcomes.

- Seamless Leadership Transitions: Whether it's you moving up the ladder or a team member stepping into a new role, Generative AI aids in ensuring smooth transitions. Plan, strategize, and execute leadership handovers with unparalleled confidence.


In addition to these key hands-on tasks, you will quickly come up to speed on how to innovate with Generative AI, and explore:

- Deep Dive into Generative AI: Grasp the underlying principles of Generative AI and its transformative potential. Equip yourself to make critical decisions about implementing Generative AI in your organization, ensuring you stay ahead in the modern leadership curve.

- Augmented Intelligence - The New Frontier: Discover how Generative AI acts as an 'Exoskeleton for the Mind', enhancing your cognitive capabilities. Witness firsthand how Augmented Intelligence is not just a concept but a revolutionary way to supercharge your leadership style.

- Boost Your Productivity: No more starting from scratch! Learn how Generative AI can be your assistant, creating agendas, drafting emails, generating documents, and much more. Experience a dramatic surge in efficiency, getting your work 50% to 80% completed before you even begin.

- Addressing Staff Anxiety: In a world where AI is often viewed with skepticism, understand how to navigate the waters of staff anxiety. Discover how to effectively communicate the capabilities and limitations of Generative AI, ensuring a seamless integration into your organization.

- Beyond the Internet - The Generative AI Revolution: Understand why experts are heralding Generative AI as a technological marvel surpassing the transformative impact of the Internet. Prepare yourself for the future of leadership in an AI-augmented world.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""4639533"", ""130815105""]","[""Dr. Jules White"", ""Bob Higgins""]",BEGINNER,Generative AI for Leaders,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/44/b78f26ab784286a0b8faa61d04c4e0/juleswhite_3d_colorful_volumeric_gradient_shape_5b579e26-bf91-452e-a4e0-8216640fdabd.png,"[""en""]","[""b_D1FFq9TXimEWeOnj3ljA"", ""fDtb0AoTRgOatVpaHil5Dw""]",generative-ai-for-leaders,[],2hrs,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",DyfMa9gPEe-bwhITEGGo8Q,v2.ondemand,"AI Agents Are the Next Leap in Software. Learn to Build Them in Python.

AI agents aren't passive tools. They think, act, and solve problems—without waiting for instructions. That's the future of software. And in this course, you'll learn how to build it.

Frameworks come and go. Principles last. This course cuts through the noise to teach you how AI agents really work—using Python, the leading language for AI development.

Forget tutorials on trendy APIs that'll be dead by next quarter. You'll learn to build AI agents from the ground up. No fluff. No shortcuts. Just the core architecture that powers intelligent systems—knowledge that stays useful no matter how fast the landscape shifts.

In this course, you will:

- Master Python-based agent architectural fundamentals - Understand the core GAME components (Goals, Actions, Memory, Environment) that make AI agents tick and how they work together in a cohesive Python system

- Leverage Python's strengths for efficient agent development - Use Python's dynamic typing, decorators, and metaprogramming to create flexible, maintainable agent frameworks with minimal boilerplate code

- Rapidly prototype and implement Python agents - Learn techniques to quickly design Python agent capabilities with prompt engineering before writing a single line of code, then efficiently translate your designs into working Python implementations

- Connect Python AI agents to real-world systems - Build Python agents that can interact with file systems, APIs, and other external services

- Create Python-powered tool-using AI assistants - Develop Python agents that can analyze files, manage data, and automate complex workflows by combining LLM reasoning with Python's extensive libraries and ecosystem

- Build Python developer productivity agents - Create specialized Python agents that help you write code, generate tests, and produce documentation to accelerate your software development process

Why Principles Matter More Than Frameworks

The AI landscape is changing weekly, but the core principles of agent design remain constant. By understanding how to build agents from scratch, you'll gain:

- Transferable knowledge that works across any LLM or AI technology
Deep debugging skills because you'll understand what's happening at every level

- Framework independence that frees you from dependency on third-party libraries and allows you to succeed with any of them

- Future-proof expertise that will still be relevant when today's popular tools are long forgotten

By the end of this course, you won't just know how to use AI agents—you'll know how to build them in Python, customize them, and deploy them to solve real business problems.

This course will teach you these concepts using OpenAI's APIs, which require paid access, but the principles and techniques can be adapted to other LLMs.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,AI Agents and Agentic AI with Python & Generative AI,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/87/f53a62e6c84b5c9be99db814e19f00/juleswhite_3d_colorful_volumeric_organic_rounded_vibrant_highly_ed068faa-2a26-4d84-94b6-5cbfb2614a39.png,"[""en""]","[""2QVR-nlCRSu7ghRfUDSaTg"", ""AZal18caQfOPCtxczxMkgg"", ""m55Ol2pRRCSCIHdXN3uvKQ""]",ai-agents-python,[],~2hrs a week,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",l8UDFVwpEe-6Bw5fJNBVGw,v2.ondemand,"Tired of spending hours manually replying to emails? In ChatGPT + Zapier: Automate Email Replies with AI, you’ll learn how to transform your inbox management process by setting up automated AI-driven email replies. This course will show you how to connect labeled emails and folders to workflows that draft responses while you triage your inbox. By the time you’ve finished organizing, ChatGPT will have prepared reply drafts for you to review and send.

You’ll master setting up ChatGPT with customized instructions using a Google Document or another note-taking tool, allowing you to teach ChatGPT how to adjust its responses based on different situations. Enhance your email responses with smart customization by feeding ChatGPT useful instructions like frequently asked questions, typical responses, escalation guidelines, and personal preferences for tone or formality. Provide dynamic information, such as upcoming travel plans, meeting availability, or recent project updates, to ensure replies are accurate, context-aware, and in line with your communication style. Incorporate templates for common scenarios (e.g., scheduling meetings, responding to customer inquiries, or sharing project status updates) to make your automated responses even more efficient and relevant.

You will learn skills to help tackle common email pain points, such as:

	•	Avoiding back-and-forth scheduling: Automatically include preferred meeting times or suggest open slots based on your calendar.
	•	Quickly addressing repeated queries: Generate detailed responses to FAQs or recurring requests without starting from scratch each time.
	•	Efficient escalation handling: Provide clear next steps or contact details for further assistance, using escalation guidelines for common issues.

Whether you’re looking to streamline client communication, speed up internal responses, or simply reduce the time spent on email, this course will equip you with the tools you need to automate your inbox efficiently and effectively.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,ChatGPT + Zapier: Automate Email Replies with AI,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c2/e5f5a407124caab9bac7ee10791da0/juleswhite_3d_colorful_volumeric_organic_rounded_vibrant_highly_db4cb35b-3c41-4395-9666-b0107485ecc2.png,"[""en""]","[""TQvYvM1LQouPvrYnPfCyYw""]",chatgpt-email,[],2-3hrs,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert""]",-fBdfxj4Ee-JcQr_2GDxCw,v2.ondemand,"Generative AI is revolutionizing industries and transforming the way we work. As organizations embrace these cutting-edge technologies, effective change management becomes crucial to ensure a smooth transition and maximize the benefits of generative AI. In this course, ""Change Management for Generative AI,"" we will delve into the strategies and frameworks necessary to successfully implement and adapt to these transformative technologies.

You will learn about the FASTER framework, a comprehensive approach to managing change in the era of generative AI. We will explore each component of the framework, including establishing a strong foundation, aligning stakeholders, implementing safeguards, providing training, embracing evolution, and enabling replication. Through real-world examples and practical insights, you will gain the skills to lead change initiatives and drive the adoption of generative AI in your organization.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""4639533"", ""130815105""]","[""Dr. Jules White"", ""Bob Higgins""]",BEGINNER,Change Management for Generative AI,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f1/7bdf9f975a455f8e1ff042fd130dcb/changemgmt.png,"[""en""]",[],change-management-generative-ai,[],3hrs,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",Ts7_6ApSEfCk7gr_3iO-uQ,v2.ondemand,"Imagine turning your database into a conversation partner that not only answers your questions but visualizes insights, finds patterns you've missed, and helps fix your queries. This isn't science fiction—it's the power of Generative AI applied to SQL and data analysis.

Traditional database interaction requires technical expertise, writing complex queries, and switching between multiple tools to analyze and visualize results. But what if you could simply have a conversation with your data? What if you could ask questions in plain language and receive immediate, actionable insights?

This course teaches you how to revolutionize your relationship with databases through ChatGPT-assisted analysis. You'll learn powerful techniques to establish accurate database context, collaboratively explore meaningful questions, generate precise SQL queries, and transform raw results into compelling visualizations—all through natural conversation with AI. 

All of these techniques are simple for anyone to use with just ChatGPT and your database.

We'll explore proven patterns like the CLUE framework for establishing database context, the experimental query generation approach for building complex queries, and the TRUST method for verifying your results. You'll discover how to design visualization-first queries, build reproducible analysis pipelines with the CAPTURE pattern, and efficiently troubleshoot SQL issues using the DEBUG framework.
Whether you're a data analyst seeking to accelerate your workflow, a business professional who needs insights without coding expertise, or a database administrator looking to expand your toolkit, this course equips you with immediately applicable skills. You'll learn to extract more value from your existing data while dramatically reducing the time and technical barriers traditionally associated with database analysis.

By the end of this course, you'll transform how you interact with databases—moving from rigid, technical queries to fluid, insightful conversations that reveal the full potential of your data. As Generative AI reshapes the landscape of data analysis, this course ensures you're not just keeping pace but leading the charge with powerful, practical techniques that deliver immediate results.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,Chat with Your Data: Generative AI-Powered SQL Data Analysis,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/02/8963449e19466ea5ad5c6abbcbe3f1/juleswhite_3d_colorful_volumeric_organic_rounded_vibrant_highly_c66c1964-bd56-4deb-b6d6-ce17a5ef65e4.png,"[""en""]","[""7yb-5IuxRsewkoQLuFpH6A"", ""Mg7xaXoNQvy2wSK78GysRw""]",generative-ai-for-sql,[],,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",Y_BcYzizEeuyLgpLVYD1yw,v2.ondemand,"Dive into the world of Microservices Architectures with this comprehensive course, designed to provide a clear understanding of both the theoretical and practical aspects of building scalable and robust systems. Beginning with the concept of program slicing, this course will guide you through the intricacies of Microservices, contrasting them against monolithic systems, and demonstrating the art and science behind their design, deployment, and maintenance.

What You'll Learn:

Program Slicing and its Relevance: Dive into the foundational concepts of program slicing, its significance in system design, and its relationship with Microservices.

Monoliths vs. Microservices: Contrast the architectural styles, understanding the strengths, weaknesses, and practical differences of each approach.

Decoupling and Invocation Dynamics: Grasp the intricacies of service decoupling, hidden couplings, and the complexities of service invocation within a Microservices environment.

Deployment, Scalability, and Dependency Management: Delve into the challenges and consequences of adopting Microservices, focusing on deployment strategies, scalability issues, and dependency isolation.

Building Resilient Systems: Explore client-side load balancing, circuit breakers, fallback strategies, and other resilience techniques to ensure system stability and robustness.

Who Should Enroll:

Students should have intermediate Java programming experience.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""1337829"", ""4639533""]","[""Dr. Douglas C. Schmidt"", ""Dr. Jules White""]",INTERMEDIATE,Microservice Architectures,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f1/5f0836dbdd4fa8928de853a6440f7b/juleswhite_verdent_green_3d_volumetric_shape_SPRING_LEAVES_netw_5ca02532-d872-48f1-8f86-b3a901907375.png,"[""en""]","[""mGsSCjiyEeuwLRJPicaX3Q""]",microservices,[],2hrs/week,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",mmh5SXC3EfGc7Qr_4PlpMQ,v2.ondemand,"Honors AI Foundations for High School Students

Prepare yourself for the AI-driven future.

Large language models like ChatGPT, Claude, and Gemini are transforming every field—from science and medicine to business, creative arts, and engineering. They're becoming as essential to your future as smartphones are today. But here's the difference: while everyone will have access to these tools, only those who truly understand how to use them will be prepared to innovate, lead, and succeed.

This Honors AI Foundations course is designed for accomplished high school students ready to develop genuine expertise in applied AI—not just familiarity, but real skill. Think of it as the AI equivalent of an AP course: it positions you to enter college with a competitive edge and a Vanderbilt University certificate from Coursera that signals serious preparation in one of the world's most important emerging fields.

What You'll Learn:

- Use large language models effectively and strategically
- Master prompt engineering—the skill that separates expert users from novices
- Apply prompt patterns and advanced techniques to solve problems across any domain
- Build applications powered by large language models
- Harness AI for innovation in writing, coding, summarization, planning, simulation, tutoring, and problem-solving
- Understand the limitations and risks of AI systems
- Use AI to process information, reason through complex problems, and program solutions

Concrete, practical skills. You'll work through real examples showing how AI can tutor you in math, help you write better essays, generate code for your projects, improve your cybersecurity, plan your life more effectively, and tackle problems in your job or personal interests. You'll build toward writing sophisticated prompts that can handle nuanced, multi-step problems across any field.

No prerequisites required—just basic computer skills (using a browser and accessing ChatGPT, Claude, Gemini, or another equivalent AI tool). 

Why This Matters for College and Your Future:

Colleges are beginning to recognize AI literacy as a foundational skill, much like they did with computer science. An Honors AI Foundations certificate from Vanderbilt demonstrates that you've invested in serious preparation, that you understand both the power and the responsibility of AI, and that you're ready to innovate and lead in an AI-driven world. Whether you pursue computer science, business, medicine, engineering, humanities, or any other field, this credential and these skills will distinguish your college applications and prepare you to succeed wherever AI intersects with your interests.

Upon successful completion of this course, you will receive an Honors AI Foundations Certificate from Vanderbilt University via Coursera.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,Honors AI Foundations for High School Students,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/dc/5cfbab2092477dbffc99ba51d82747/sparc.png,"[""en""]",[],honors-ai-foundations,[],2-3 hours/week,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert""]",g3hWErEzEeid7grmrzb50g,v2.ondemand,"The American criminal justice system is in need of reform. We incarcerate too many people. We pay insufficient attention to scientific advances that can help separate out the most and least culpable and dangerous. We grant the police far too much power to use force and technological surveillance. 

As a way of thinking about dealing with these problems, this course examines two over-arching issues: What should we do with people who have committed crime, and how should we identify who they are? On the first issue, we will look closely at the nature and causes of mass incarceration, the death penalty, the lawfulness and usefulness of preventive detention and risk assessment, and the role of the insanity defense and neuroscience in assessing responsibility for crime. On the second issue, we will explore the laws regulating the police use of force, the growing role of technology and big data in facilitating police surveillance and detection and deterrence of crime, and the remedies for police malfeasance, including the exclusionary rule and damages actions. 

The overall goal is to help thinking individuals assess today’s criminal justice system and consider ways of making it better. After completing this course, participants should be able to: 

1. Describe the mass incarceration problem in the United States and why it might exist; 
2. Suggest ways of reducing incarceration; 
3. Criticize risk assessment instruments and their use in preventive detention schemes; 
4. Discuss the pros and cons of the death penalty, the exclusionary rule, and the insanity defense; 
5. Analyze the relevance of neurological evidence in a criminal case;
6.  Identify some of the reasons innocent people are wrongly convicted;
7. Elaborate on the role race plays at sentencing and in police use of force, stop and frisk and consent searches and 
8. List the types of surveillance technology available to police and the constitutional principles that govern their use.","[{""subdomainId"": ""law"", ""domainId"": ""social-sciences""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""36242587""]","[""Christopher Slobogin""]",BEGINNER,Hot Topics in Criminal Justice,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1f/40f840315a11e9b156e14c11c922b0/logo_1150x1150.png,"[""en""]",[],hot-topics-criminal-justice,[],,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",mKkshjiyEeuIHA6qQSngsQ,v2.ondemand,"Unlock the power of building HTTP APIs with Spring, one of the most versatile and widely-used Java frameworks, in this comprehensive course tailored for both beginners and seasoned developers. Dive deep into building robust, scalable, and secure HTTP APIs from scratch and gain mastery over RESTful services with Spring Boot.

What You'll Learn:

Foundational Concepts: Understand the principles of REST and the significance of stateless APIs.

Spring Boot Mastery: Kickstart your applications and reduce the boilerplate with Spring Boot. Dive into data access, security configurations, and more.

Data Persistence: Integrate with databases using Spring Data JPA and discover the magic of CRUD operations without writing SQL.

Security: Safeguard your APIs with Spring Security, implementing authentication and authorization mechanisms.

Testing: Ensure your APIs stand the test of time with unit, integration, and end-to-end testing strategies.

Who Should Enroll:
Students should have a solid understanding of coding in Java.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""1337829"", ""4639533""]","[""Dr. Douglas C. Schmidt"", ""Dr. Jules White""]",BEGINNER,Building HTTP APIs with Spring,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/16/7a7674966c4ff099adc979b145d0f3/juleswhite_verdent_green_3d_volumetric_shape_SPRING_LEAVES_netw_81364e62-fbd8-423e-a25d-362011938fc8.png,"[""en""]","[""mGsSCjiyEeuwLRJPicaX3Q""]",java-spring,[],2hrs/week,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",eZoI1GhZEe6C8Aq3MM882w,v2.ondemand,"We see lots of news reports of Generative AI tools, such as ChatGPT, making mistakes and producing inaccurate information. Many of these mistakes happen because humans use the tools in the wrong way - trying to solve unsuitable problems and not thinking about risk. Hallucination isn't a bug, it's a feature when you approach problems correctly. This course teaches techniques for determining if a problem fits Generative AI's capabilities, framing problems to reduce risk, prompt engineering for trust, and appropriate human engagement in the process. Students learn concrete prompt designs, how to check outputs, how to use Generative AI for ideation and creation, ways to augment human skills, and more ethical, beneficial applications.

The course will show how you can:

- Leverage prompt engineering techniques to generate more reliable outputs
- Master methods to verify and validate outputs
- Frame problems in alternative ways to reduce risk
- Apply generative AI for creative ideation
- Use Generative AI in ways that augment rather than replace human reasoning and creativity","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,Trustworthy Generative AI,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b8/36ae1a5eee44b2815ea7130cca2365/sparc8.png,"[""en""]","[""WLIUbs-gRu-vli-vXotrhg"", ""hdt6rMl0TJC-7KKuEFUTcg"", ""AZal18caQfOPCtxczxMkgg"", ""UZvJGpM0Sg-7Wn0x5mh82A"", ""fDtb0AoTRgOatVpaHil5Dw"", ""6aiqZI4uRNe4-ALvqaygjA"", ""cR_MndEVQwqrXxahGetzSg"", ""8YCk9FHeR-ORsbmKRm0jPQ"", ""ux0MaVNwTzWn8jlntVix4A"", ""b_D1FFq9TXimEWeOnj3ljA""]",trustworthy-generative-ai,[],2-3hrs,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",KOP5ISW2EfCpQQ6CZo9v2w,v2.ondemand,"Master the Art of Building Intelligent Java Agents That Think, Reason, and Act

Unlock the full potential of Java for creating autonomous AI agents that solve complex problems without constant human direction. In this comprehensive course on AI Agents and Agentic AI with Java & Generative AI, you'll learn how to architect sophisticated agent systems that leverage Java's robust ecosystem and enterprise-grade capabilities.

This course takes you beyond the foundations covered in the AI Agents and Agentic AI with Java & Generative AI course to explore advanced patterns for building truly intelligent agents in Java. You'll delve into specialized techniques like self-prompting, expert personas, document-as-implementation, and multi-agent orchestration - all implemented with Java's powerful frameworks and libraries.

## What You'll Learn:

- **Self-Prompting Patterns in Java**: Build agents that dynamically adopt different thinking modes to handle specialized tasks, transforming unstructured data into structured formats with clean Java implementations

- Java-Based Expert Persona Systems: Implement consultation frameworks where agents can invoke domain experts for specialized knowledge while maintaining clean architecture

- Document-as-Implementation: Use Java's powerful file handling to create systems where human-readable documents become executable business logic

- Multi-Agent Collaboration with Java: Design sophisticated memory sharing and coordination mechanisms between specialized Java agents

- Progress Tracking & Planning: Implement robust planning and reflection capabilities using Java's enterprise-grade tooling

- Java Agent Safety & Trust Systems: Build transaction management and safety mechanisms that leverage Java's exception handling and security features

By the end of this course, you'll be equipped to build complex, enterprise-ready agent systems in Java that can reason across multiple domains, handle complex workflows, and safely interact with real-world systems.

Whether you're building productivity tools, automating complex business processes, or creating intelligent assistants, you'll have the Java-specific knowledge to implement agentic AI solutions that provide genuine business value.

This course will teach you these concepts using OpenAI's APIs, which require paid access, but the principles and techniques can be adapted to other LLMs.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""4639533""]","[""Dr. Jules White""]",INTERMEDIATE,AI Agent Architecture in Java with Generative AI,"[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4a/9e0a651a5a4194ae3279cfefbf1cd7/0013d70a-c72e-4856-a02d-30480e45113b.png,"[""en""]","[""e9RQMyXNThGJtEWBZjyi2A""]",ai-agents-architecture-java,[],~2hrs a week,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",lFygs6IBEe-M0A6J7VObuQ,v2.ondemand,"Struggling to keep up with your data analysis workload? Imagine having an AI assistant that not only helps you explore your Excel data but also automates mundane tasks, uncovers insights, and crafts compelling stories—all with a few prompts. This course will take you on a journey to revolutionize your Excel skills, transforming how you analyze data, make decisions, and tell impactful stories.

What You'll Learn

- Turn Data Chaos into Clear Insights: Use ChatGPT as your AI teammate to explore complex datasets. Quickly upload your data, describe every column, identify potential errors, and understand relationships—just like onboarding a new expert colleague. Gain clarity and avoid costly pitfalls before diving into deeper analysis.

- Unify Your Data in Seconds—No More Headaches: Master the art of merging data from multiple Excel sheets or CSV files. Whether you're connecting job roles with industry skills or combining employee data with payroll, ChatGPT helps identify relationships and ensures your data is cohesive—giving you a complete view without manual effort.

- Never Fear Data Errors Again—Debug Like a Pro: Learn how to identify and resolve inconsistencies in your data, such as jobs appearing in both high and low pay categories. Use ChatGPT to dig deeper and uncover underlying issues, like duplicated entries or mismatched pay periods, making your data analysis smoother and more reliable.

- Say Goodbye to Tedious Data Extraction—Automate with AI: Discover how ChatGPT can automate extracting structured datasets from unformatted information. Whether it’s copying LinkedIn posts or pulling details from messy text, generative AI speeds up data preparation, turning raw material into ready-to-analyze formats in seconds.

- Transform Your Data into Stories That Captivate and Inspire: Elevate your presentations by using ChatGPT to craft compelling narratives from your data. Learn how to highlight key statistics and make them relatable to your audience. Develop engaging titles, add visual placeholders, and ensure every insight tells a story that resonates and drives action.

- Make Your Work Rock Solid—Ensure Replicability & Traceability: Learn best practices to make your analyses replicable and trustworthy. Use ChatGPT to create traceability packages that document every data source, every step of your analysis, and every assumption made—ensuring anyone can replicate your work and understand its integrity.

Who Is This Course For?

Data Analysts: Tired of spending hours on manual data cleaning? Learn how to turbocharge your workflow with AI.

Business Professionals: Need faster, more confident data-driven decisions? Discover how AI can help you make informed choices effortlessly.

Excel Enthusiasts: Want to level up your skills and impress your peers? Integrate AI to enhance your spreadsheets.

Anyone Curious About AI: Find out just how easy it is to bring powerful AI tools into your everyday data tasks and make analysis both insightful and enjoyable.

Why Take This Course?

This isn't just about learning Excel; it's about transforming your entire approach to data. Imagine using ChatGPT to merge customer data in seconds, uncover hidden trends, and create visual narratives that impress stakeholders. With ChatGPT by your side, you'll save time on mundane tasks, avoid common pitfalls, and focus on what truly matters: deriving insights and making decisions that drive real impact. By the end, you'll be equipped with the skills to use AI effectively—from handling complex datasets to telling captivating stories and making your work replicable.

Join thousands of professionals already using AI to enhance their data analysis and storytelling capabilities. Don’t get left behind—enroll today and start mastering the future of Excel!","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,"ChatGPT + Excel: Master Data, Make Decisions, Tell Stories","[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/09/1fd62782f44904bd7b52afb38870e0/juleswhite_3d_colorful_volumeric_organic_rounded_vibrant_highly_a77f7258-21bd-4fd4-98c3-f380d78758bb.png,"[""en""]","[""7yb-5IuxRsewkoQLuFpH6A"", ""8W2nYNA_SuCMYK82xV9qEQ""]",chatgpt-excel,[],3hrs,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",hZ_WK2lmEe-zXBID9Vp6zQ,v2.ondemand,"In ""ChatGPT for Project Management: Insight, Planning, & Success,"" you will learn how to leverage large language models (LLMs) to enhance your project planning and strategy development. This course covers techniques for using LLMs to break down complex projects into manageable tasks, phases, goals, risks, and more. You’ll discover how to utilize AI for organizing project components into timelines, schedules, strategies, dependencies, and Gantt charts to create a cohesive plan.

Explore how prompting can give you instant access to ""subject matter expert"" insights on any topic, and learn how to control LLM output with the template pattern for precisely formatted plans and project documents. You’ll also master the use of AI to analyze risks, assess alternative approaches, generate metrics and OKRs, and optimize your project plan. By the end of this course, you'll have the skills to integrate LLMs into your project planning process, driving insight, strategy, and success.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""4639533""]","[""Dr. Jules White""]",,"ChatGPT for Project Management: Insight, Planning, & Success","[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/dc/1763825751430db72e03c24d53b9d1/juleswhite_3d_colorful_volumeric_organic_rounded_vibrant_highly_2f0e3674-548c-468d-b049-f9ba981d5347.png,"[""en""]","[""tsjfjljzTMapT5CirlZjmg""]",chatgpt-project-management,[],,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert"", ""Specialization""]",DGwMEm01EeWbyw5d8C-Blw,v2.ondemand,"This 4 week MOOC builds upon the overview of Java and Android covered in Course 1 by delving deeper into core Android app components, such as intents, activities, and broadcast receivers.  You will learn by example how to program these core Android components together with Android concurrency frameworks and basic Java file I/O classes (such as File and InputStream) and Android storage mechanisms (such as Shared Preferences). You'll also learn how to use the Git source code management system. Throughout this MOOC you'll work incrementally on a project involving downloading, storing, and display images from remote websites. Each week you will add additional capabilities to the project, based on material covered in the lecture videos. You'll spend roughly 4 hours per week watching video lectures, taking quizzes, and programming assignments with Java and Android.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""1337829"", ""2851010"", ""4639533"", ""8511224""]","[""Dr. Douglas C. Schmidt"", ""Michael Walker"", ""Dr. Jules White""]",,"Android App Components - Intents, Activities, and Broadcast Receivers","[""37""]",http://coursera-university-assets.s3.amazonaws.com/71/4711914b204d25b125aae53b207b38/Dimensional_V_Black_Lockup_200x48.png,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c6/2df460ba3d11e5b6f14d664beed14b/android_app_components2.jpg,"[""en""]","[""R_YiF7okEeWxLgqFDcygGQ""]",androidapps,[],,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert""]",p-K_cuiOEe-ooA4dd55Pxw,v2.ondemand,"The future of education is being shaped by AI, and this course provides a front-row seat to the conversations happening at the ASU+GSV AI Show—one of the leading global events on innovation in learning. In this course, you’ll hear directly from thought leaders, educators, and industry experts who are driving AI’s impact on education. Through exclusive interviews and discussions, we explore key questions: How is AI transforming access to learning? What skills do students need for the future? How can educators adapt to this rapid shift?
 
This course will guide you through insights from some of the most voices in this space. Featured speakers include Kip Glazer, Ardis Kadiu, David Miyashiro, Mushina H. Morris, Merissa Sadler-Holder, Eddie Watson, and Jules White. They bring diverse perspectives from K-12, higher education, and ed-tech innovation, offering a comprehensive look at the evolving role of AI in teaching and learning. This course is your opportunity to engage with these critical conversations and stay ahead in the AI-driven educational landscape.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""4639533""]","[""Dr. Jules White""]",BEGINNER,The Future of Education with AI: Exploring Perspectives,"[""37""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-misc.s3.amazonaws.com/mailspin/prod/03_18_2025_21_39_07_vanderbilt_gsv_157x45-1.png?auto=format%2Ccompress&dpr=2&w=420&h=90,"[""Vanderbilt University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/81/b305b193884cf48886aa6df960c385/DALL-E-2025-02-19-06.50.25---A-3D-colorful-volumetric-organic-rounded-and-vibrant-lattice-structure-with-highly-reflective-surfaces.-The-lattice-expands-dynamically-forming-i.webp,"[""en""]",[],future-of-education-with-ai,[],1hr,cioWhZhaVIVdl1Lqi,y65bkfQMd04Sj4Cg2
[],"[""VerifiedCert""]",a2kUmjJ-Ee2PAQonVRkX_w,v2.ondemand,"This course is designed to teach you about Extended Reality (XR) and how it's used in healthcare education and clinical practice. Using lessons from experts in the field and different case studies, this course shows you how to use this innovative technology in a way that creates sustainable, accessible real-world applications. 

The course considers Extended Reality (XR) from a number of perspectives. First of all, you will learn about the hardware and software considerations, then focus on education structures and frameworks and how Extended Reality is applied appropriately within this context. The final two weeks demonstrate how XR has been applied in real-world clinical practice and how you can best make use of the technology by understanding the impact of interdisciplinary expertise in the field. 

Overall, this course will help you to advance your use of Extended Reality, whatever your background, in clinical training and technologically-enhanced healthcare education contexts. You will also have the optional pathway of developing a business case alongside fellow learners. The business case can be the first step in promoting your XR idea or project to different stakeholders. ","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""53774869"", ""128371166""]","[""Jason A. Lawson"", ""James Kinross""]",BEGINNER,XR in Healthcare Education and Clinical Practice,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4d/6462c53df54c2f9132ad9480e2005b/Screenshot-2023-08-16-at-09.48.53.png,"[""en""]",[],extended-reality-in-healthcare-education-and-clinical-practice,[],"4 Weeks of study, 4 -6 hours/week",NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",Q7tiH6CiEeiTHQqmhTjSDA,v2.ondemand,"This course covers approaches for modelling treatment of infectious disease, as well as for modelling vaccination. Building on the SIR model, you will learn how to incorporate additional compartments to represent the effects of interventions, such the effect of vaccination in reducing susceptibility. You will learn about ‘leaky’ vaccines and how to model them, as well as different types of vaccine and treatment effects. It is important to consider basic relationships between models and data, so, using the basic SIR model you have developed in course 1, you will calibrate this model to epidemic data. Performing such a calibration by hand will help you gain an understanding of how model parameters can be adjusted in order to capture real-world data. Lastly in this course, you will learn about two simple approaches to computer-based model calibration - the least-squares approach and the maximum-likelihood approach; you will perform model calibrations under each of these approaches in R.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""40203219""]","[""Nimalan Arinaminpathy""]",INTERMEDIATE,Interventions and Calibration,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cc/ebc517974b4303a0978edcdb4b8b3c/Infectious-Disease-Modelling-2-.jpg,"[""en""]","[""E9pKjKCeEeixlg5fiZTWeA""]",interventions-and-calibration,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",cmRw8KEvEeiFXQo9zWlvwg,v2.ondemand,"In this course,  you will learn about the importance of measuring the quality of care and health outcomes in order to determine whether Quality Improvement(QI ) initiatives have achieved their aims. You will learn about how data is utilised to identify areas of improvement and the importance of using both quantitative and qualitative data in evaluating change. You will learn about the specific methods appropriate for improvement as distinct from methods more suited to research, including how to design measurement schemes suitable for improvement initiatives","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""4854525""]","[""Dr Thomas Woodcock""]",BEGINNER,Using Data for Healthcare Improvement,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d6/7df2da231f4967a7e942da96b38ed5/QIH-Logo-MOOC2.jpg,"[""en""]","[""bIYutaCeEeixlg5fiZTWeA""]",using-data-for-healthcare-improvement,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",ZWOO_nU1Eeiq5AqveOGNaA,v2.ondemand,"This course is all about infectious diseases. We’ve selected four disease areas — HIV, Malaria, Emerging Infectious Diseases (Ebola and Zika), and TB — and we will go through each in turn. We’ve selected these diseases because they span a range of different types of disease and allow us to look at important issues that relevance of other diseases too. We will look at each disease in the same way: we begin by looking at the aetiology and epidemiology of the diseases. We then show how data on this disease can be used to understand important trends and patterns. We then focus on the interventions that can be used to address that disease - typically spanning both prevention and treatment - and consider how policies have been developed to address the disease. We finish by reflecting on the whole topic area of the disease with an external expert.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""18930304"", ""31616586""]","[""Helen Ward "", ""Timothy Hallett""]",BEGINNER,"Global Disease Masterclass: Communicable Diseases Epidemiology, Intervention and Prevention","[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d0/5d8caf16bc4f54a7f25734754dc24f/Global-Diseases-Masterclass.png,"[""en""]","[""0g8Sp2TtEeiE-RJ8Iziqxg""]",global-disease-masterclass-communicable,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",0l99KGTtEeiHHhI_ziov1A,v2.ondemand,"The Global Diseases Masterclass is part of the full-degree Masters of Public Health that the School of Public Health. By the end of this specialisation, our aim is that students will be able to critically apply epidemiological concepts to major global diseases and be able to appraise and recommend policy options to combat them.

Global Diseases Masterclass: Global Disease Distribution
In this course, we will introduce students to the most important trends and pattern in health and disease on a global scale. We will look at how health has improved over time, examine the trends for the future and look at between and within-country inequality in health. We will look at the methods that lie behind those statistics and think about different ways in which health can be conceptualised and measured. The course ends by considering the reason that might lie behind the patterns that we’ve pointed out and introducing the distinction between direct and structural interventions.The course ends by considering the reasons that might lie behind the patterns that we’ve described and introducing the concept of structural interventions.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""18930304"", ""31616586""]","[""Helen Ward "", ""Timothy Hallett""]",BEGINNER,Global Disease Masterclass: Global Disease Distribution,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/77/1dc21eb55a48aaa19e4f4f8f5ca058/Global-Diseases-Masterclass.png,"[""en""]","[""0g8Sp2TtEeiE-RJ8Iziqxg""]",global-disease-distribution,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",HIWhL1UPEeiYKRJKvk-prg,v2.ondemand,"Welcome to Logistic Regression in R for Public Health! 

Why logistic regression for public health rather than just logistic regression? Well, there are some particular considerations for every data set, and public health data sets have particular features that need special attention. In a word, they're messy. Like the others in the series, this is a hands-on course, giving you plenty of practice with R on real-life, messy data, with predicting who has diabetes from a set of patient characteristics as the worked example for this course. Additionally, the interpretation of the outputs from the regression model can differ depending on the perspective that you take, and public health doesn’t just take the perspective of an individual patient but must also consider the population angle. That said, much of what is covered in this course is true for logistic regression when applied to any data set, so you will be able to apply the principles of this course to logistic regression more broadly too. 

By the end of this course, you will be able to: 
Explain when it is valid to use logistic regression 
Define odds and odds ratios 
Run simple and multiple logistic regression analysis in R and interpret the output 
Evaluate the model assumptions for multiple logistic regression in R 
Describe and compare some common ways to choose a multiple regression model 

This course builds on skills such as hypothesis testing, p values, and how to use R, which are covered in the first two courses of the Statistics for Public Health specialisation. If you are unfamiliar with these skills, we suggest you review Statistical Thinking for Public Health and Linear Regression for Public Health before beginning this course. If you are already familiar with these skills, we are confident that you will enjoy furthering your knowledge and skills in Statistics for Public Health: Logistic Regression for Public Health. 

We hope you enjoy the course!","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""31616650""]","[""Alex Bottle""]",INTERMEDIATE,Logistic Regression in R for Public Health,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/75/b4e7b03b8511e991a4eda65d2fed7a/Statistics-for-Public-Health-_3_.png,"[""en""]","[""9GJm7lUPEeisFQ4yhHotIA""]",logistic-regression-r-public-health,[],3-5 hours/week,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",bN0BWaCeEeiSBw4LZG4zaA,v2.ondemand,"This course introduces you to the concepts, theories and application of Quality Improvement (QI) in healthcare from a global perspective. You will hear from patients, clinicians and academics what quality improvement means to them, and how they work together to deliver change. Studying the challenges, they faced and strategies they utilised to overcome those challenges, you will learn to apply and critique core QI methods, from experts in the field. 
By the end of this module you will be able to: 
1. Recognise the characteristics of different approaches to quality improvement in order to critique them and make decisions as to when to deploy them. 
2. Explain the necessary components of a structured approach to quality improvement in order to apply key quality improvement methods to support the planning, design, implementation and evaluation of improvement efforts.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""4854525""]","[""Dr Thomas Woodcock""]",,Introduction to Quality Improvement in Healthcare  ,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a2/8b481775fd47eab0a35b0a4001d6c6/QIH-Logo-MOOC1.jpg,"[""en""]","[""bIYutaCeEeixlg5fiZTWeA""]",intro-quality-improvement-healthcare-1,[],"4 weeks of study, 4 hours/week",NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",IT4Xr1O0Ee6cQApOo3JXOQ,v2.ondemand,"This course explores the different types of vaccine available. This is a useful framework for understanding the scientific understanding that went into vaccine development. It also gives a perspective of how innovation (e.g. fundamental virology, molecular biology) work in a translational medicine context.  

On successful completion of the course, learners will be able to:  

1. Identify features of different vaccine platforms 
2. Demonstrate an understanding of the role of microbiological and technological advances in the development of vaccines 
3. Recognise how different platforms may provide protection against different pathogens.

This is an intermediate series of courses intended for both clinical and non-clinical scientists who want to update their skills for work in clinical, academic, and pharmaceutical/bioscience industries, and is developed and delivered by experts working on viruses and novel vaccines.

To be successful in this series of courses, you should have basic knowledge in biology, genetics, microbiology or related fields.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}, {""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""46174750""]","[""John Tregoning""]",INTERMEDIATE,Types of Vaccine,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/05/05ff850bea468a86284a9dc5ae2797/MOOC2-Logo.png,"[""en""]","[""Nv1--xw0SDqc8MCXhwNrtw""]",types-of-vaccine,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",gbfALuBMEemE_go1N_G8Fg,v2.ondemand,"Welcome to this course on Customising your models with TensorFlow 2!

In this course you will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. You will use lower level APIs in TensorFlow to develop complex model architectures, fully customised layers, and a flexible data workflow. You will also expand your knowledge of the TensorFlow APIs to include sequence models.

You will put concepts that you learn about into practice straight away in practical, hands-on coding tutorials, which you will be guided through by a graduate teaching assistant. In addition there is a series of automatically graded programming assignments for you to consolidate your skills.

At the end of the course, you will bring many of the concepts together in a Capstone Project, where you will develop a custom neural translation model from scratch.

TensorFlow is an open source machine library, and is one of the most widely used frameworks for deep learning. The release of TensorFlow 2 marks a step change in the product development, with a central focus on ease of use for all users, from beginner to advanced level. 

This course follows on directly from the previous course Getting Started with TensorFlow 2. The additional prerequisite knowledge required in order to be successful in this course is proficiency in the python programming language, (this course uses python 3), knowledge of general machine learning concepts (such as overfitting/underfitting, supervised learning tasks, validation, regularisation and model selection), and a working knowledge of the field of deep learning, including typical model architectures (MLP, CNN, RNN, ResNet), and concepts such as transfer learning, data augmentation and word embeddings.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""44342400""]","[""Dr Kevin Webster""]",INTERMEDIATE,Customising your models with TensorFlow 2,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d2/efdb9029d14d5ba2df922e86567f03/Logo-02_00000.png,"[""en""]","[""ULKuv-X_EeqtkA5Jt4bR2Q""]",customising-models-tensorflow2,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",a-9lRaChEeiSBw4LZG4zaA,v2.ondemand,"This course delves into intellectual property (IP) with an introduction into the innovation landscape within the UK and how that compares with other settings. You'll focus on how intellectual property applies to frugal innovations, compulsory licensing, and when and how to apply for intellectual property. This course teaches you about how innovators can secure funding by exploring the types of funding available, the types of organisations involved, as well as the challenges that surround funding. A key part of this course is a focus on 'pitching' skills - what's involved in pitching well, what content should you include, how can you best deliver a pitch. 

You'll come away from this course with strong insight into the importance of protecting an innovation's intellectual property,  able to identify IP processes and challenges, and able to confidently pitch an innovation.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""37559006""]","[""Dr Matthew Harris""]",INTERMEDIATE,Healthcare Entrepreneurship: Taking Ideas to Market,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/33/75b30dd260490c9342213999666c56/Global-Health-Innovations.png,"[""en""]","[""zXHZNqCdEeiljQ5gmiahbg""]",ghi-healthcare-entrepreneurship-taking-ideas-to-market,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",h-Jt8HU1Eeiq5AqveOGNaA,v2.ondemand,"Welcome to this course on the aetiology, epidemiology and interventions for non-communicable diseases of the Global Diseases Masterclass. We’ve selected four disease areas and will go through each in turn. The diseases we’ve chosen are: Colorectal Cancer, Cardiovascular Disease (CVD), Dementia, and Diabetes. We have selected these non-communicable diseases because they span a range of different types of disease process and because of the expertise and experience that our School of Public Health has in these areas. This will provide an introduction to a few of the of most important global non-communicable disease challenges while also providing variation in aetiology, epidemiology and interventions to learn from. We hope that by the end of this course you will be able to describe the basics of the disease aetiology, global epidemic trends and the available interventions. We also hope you’ll be able to use this information to critique public health approaches and policy positions for the four non-communicable diseases we’ve covered as well helping you extend to further disease areas.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""18930304"", ""31616586""]","[""Helen Ward "", ""Timothy Hallett""]",BEGINNER,Global Disease Masterclass: Non-communicable Diseases,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f4/ae0f658c484f8dbc29d8e525bcde4b/Global-Diseases-Masterclass.png,"[""en""]","[""0g8Sp2TtEeiE-RJ8Iziqxg""]",global-disease-non-communicable,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",Vdxg0pvmEemPqQqpR6cYbg,v2.ondemand,"This course will bring you up to speed with the fundamentals of 2D graphics and 3D graphics in Android.  This course provides the ideal primer for more advanced courses and applications, for example, OpenGL, as well as Virtual Reality in Android. 

This course is unique because it covers the key concepts and theory of 2D and 3D graphics while also showing you how to implement these in Android practically.  This provides a solid understanding and grasp of the subject matter which will be applicable in a variety of settings.  

The final assignment will provide you with an artefact which you can use for your professional portfolio to evidence your skills.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""26194744""]","[""Benny Lo""]",INTERMEDIATE,Introduction to Android graphics,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/97/b2769efecf479fa4f92ab95a6e4263/AADA_Icon-02.png,"[""en""]","[""uGxPdZvmEemOCRIlCDX_4g""]",intro-android-graphics,[],"This course is 3 weeks long, and will require around 6 hours studying per week.",NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",ezDW3seEEeqRvwpKwUvVow,v2.ondemand,"This course will introduce you to participatory approaches to public health. You will learn about the history of participatory health research and why it is essential to solving contemporary public health challenges. The course will help you to understand the social and cultural context of public health, before introducing you to essential concepts for working with communities: knowledge and power. Finally, you will engage with critical analyses of participatory approaches, to help you to determine if and when such strategies are appropriate. Throughout the course you will analyse real-world case studies of community-based health projects, including historical HIV social movements, public health projects with sex workers, and participatory approaches to the COVID-19 pandemic. The course will equip you to practice public health in partnership with local communities. It is followed by a second course, Applying Participatory Approaches in Public Health Settings, which builds upon the theoretical foundations of this introductory course.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""18930304""]","[""Helen Ward ""]",BEGINNER,Introduction to Participatory Approaches in Public Health ,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/98/35bd10f2ad4f358def8919c0543557/PAPH---MOOC-1.jpg,"[""en""]","[""_xbbaOg1EeqZQw5YrcP8PQ""]",introduction-participatory-approaches-public-health,[],4 hours a week for 4 weeks ,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",usSN4sNZEemeWhJJ1-tMYg,v2.ondemand,"Welcome to this course on Getting started with TensorFlow 2!

In this course you will learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating and predicting with models using the Sequential API, validating your models and including regularisation, implementing callbacks, and saving and loading models. 

You will put concepts that you learn about into practice straight away in practical, hands-on coding tutorials, which you will be guided through by a graduate teaching assistant. In addition there is a series of automatically graded programming assignments for you to consolidate your skills.

At the end of the course, you will bring many of the concepts together in a Capstone Project, where you will develop an image classifier deep learning model from scratch.

Tensorflow is an open source machine library, and is one of the most widely used frameworks for deep learning. The release of Tensorflow 2 marks a step change in the product development, with a central focus on ease of use for all users, from beginner to advanced level. This course is intended for both users who are completely new to Tensorflow, as well as users with experience in Tensorflow 1.x.

The prerequisite knowledge required in order to be successful in this course is proficiency in the python programming language, (this course uses python 3), knowledge of general machine learning concepts (such as overfitting/underfitting, supervised learning tasks, validation, regularisation and model selection), and a working knowledge of the field of deep learning, including typical model architectures (MLP/feedforward and convolutional neural networks), activation functions, output layers, and optimisation.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""44342400""]","[""Dr Kevin Webster""]",INTERMEDIATE,Getting started with TensorFlow 2,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0d/458e644df745e9a90d25826f0d5664/logo-01_00001_00000.jpg,"[""en""]","[""ULKuv-X_EeqtkA5Jt4bR2Q""]",getting-started-with-tensor-flow2,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",PfseUFO0Ee6cQApOo3JXOQ,v2.ondemand,"This course describes how viruses interact with their hosts to infect, replicate, spread and cause disease. It looks at what controls the specificity of viruses for different host species and for different tissues within a host, also how this can lead to outbreaks and pandemics. It seeks to show how virus evolution is driven by the pressures to replicate and spread. Finally, it looks at how we can find antivirals and use them to control infections, distinguishing therapeutic approaches to prophylaxis by vaccination.

On successful completion of the course, learners will be able to:  

1. Identify key interfaces of virus: host interaction
2. Verify how transmission drives virus pathogenesis and shapes virus evolution
3. Demonstrate an understanding of how virus control with anti-virals differs from protection with vaccines.

This is an intermediate series of courses intended for both clinical and non-clinical scientists who want to update their skills for work in clinical, academic, and pharmaceutical/bioscience industries, and is developed and delivered by experts working on viruses and novel vaccines.

To be successful in this series of courses, you should have basic knowledge in biology, genetics, microbiology or related fields.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}, {""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""54187581""]","[""Mike Skinner""]",INTERMEDIATE,What Do Viruses Do And How Do We Control Them,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9a/4395fda3154d56b304a6cb47e2a072/MOOC4-Logo.png,"[""en""]","[""Nv1--xw0SDqc8MCXhwNrtw""]",what-do-viruses-do-and-how-do-we-control-them,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",hSFRplRqEeiPZBL0QYL46A,v2.ondemand,"Epidemiological research is ubiquitous. Even if you don’t realise it, you come across epidemiological studies and the impact of their findings every single day. You have probably heard that obesity is increasing in high income countries or that malaria is killing millions of people in low income countries. It is common knowledge that smoking causes cancer and that physical activity is protective against heart disease. These facts may seem obvious today, but it took decades of epidemiological research to produce the necessary evidence. In this course, you will learn the fundamental tools of epidemiology which are essential to conduct such studies, starting with the measures used to describe the frequency of a disease or health-related condition. You will also learn how to quantify the strength of an association and discuss the distinction between association and causation. In the second half of the course, you will use this knowledge to describe different strategies for prevention, identify strengths and weaknesses of diagnostic tests and consider when a screening programme is appropriate.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""7400246""]","[""Filippos Filippidis""]",BEGINNER,Measuring Disease in Epidemiology,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/76/c04cf0369211e9b1f22dd5aa923b72/Epidemiology-For-Public-Health.png,"[""en""]","[""gaExsVUREeiC9wpsTgD1Fg""]",measuring-disease-epidemiology,[],"4 weeks, 2-4 hrs/week",NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",tiqzG6LIEeeucRJ8FasFHA,v2.ondemand,"This intermediate-level course introduces the mathematical foundations to derive Principal Component Analysis (PCA), a fundamental dimensionality reduction technique. We'll cover some basic statistics of data sets, such as mean values and variances, we'll compute distances and angles between vectors using inner products and derive orthogonal projections of data onto lower-dimensional subspaces. Using all these tools, we'll then derive PCA as a method that minimizes the average squared reconstruction error between data points and their reconstruction.

At the end of this course, you'll be familiar with important mathematical concepts and you can implement PCA all by yourself. If you’re struggling, you'll find a set of jupyter notebooks that will allow you to explore properties of the techniques and walk you through what you need to do to get on track. If you are already an expert, this course may refresh some of your knowledge.

The lectures, examples and exercises require:
1. Some ability of abstract thinking
2. Good background in linear algebra (e.g., matrix and vector algebra, linear independence, basis)
3. Basic background in multivariate calculus (e.g., partial derivatives, basic optimization)
4. Basic knowledge in python programming and numpy

Disclaimer: This course is substantially more abstract and requires more programming than the other two courses of the specialization. However, this type of abstract thinking, algebraic manipulation and programming is necessary if you want to understand and develop machine learning algorithms.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""28166858""]","[""Marc Peter Deisenroth""]",INTERMEDIATE,Mathematics for Machine Learning: PCA,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/77/e06750f1fb11e782572b9fa3447a7a/TURQUASE-Square-800x800-02.jpg.jpg,"[""en""]","[""e3wiTwXMEeim8hI7AVpI6A""]",pca-machine-learning,[],"4 weeks of study, 4-6 hours/week",NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",Rg-DG5_IEeyPCA7TQpwpjw,v2.ondemand,"Creativity concerns the development of new ideas. Throughout human history, the application of ideas has led to transformations of our daily lives and society. Modern business activity thrives on recently developed ideas, and it is through creativity that we address both challenges and opportunities. In this module, we will help you develop your implicit understanding and skills in creativity. You will be introduced to a series of creativity tools that can be used to augment the ideas you might come up with independently. Specifically, we will develop your skills in list, sticky-note, grid and alphabet brainstorming through an introduction to the principles of the tool, along with examples and an opportunity for you to have a go. A framework called the creativity diamond is used throughout the course to guide which approach to creativity to use and when. 

WHAT YOU WILL LEARN
•	The principal facets of creativity
•	Principles of creativity
•	A framework that can be used to guide which approach to creativity to use
•	Metrics that can be used in assessing creativity
•	The importance of managing our thinking
•	How to use and apply list, sticky note, grid and alphabet brainstorming

SKILLS YOU WILL GAIN
•	Divergent and convergent creativity
•	Assessing creativity
•	Principles of brainstorming
•	List, sticky-note, grid and alphabet brainstorming","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""40585714""]","[""Peter Childs""]",BEGINNER,Introduction to Creative Thinking: Tools for Success,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/71/548823214f41928b42bca35d84c70c/ctt-green-square.png,"[""en""]","[""HJM9WFIuR7iu7j7XzGBJMw""]",introduction-to-creative-thinking,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",ARf5_jvZEeeYEBLbuVGJ2g,v2.ondemand,"In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally  we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works.
Since we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before.

At the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""26218689"", ""26267493"", ""19621896""]","[""David Dye"", ""Samuel J. Cooper"", ""A. Freddie Page""]",BEGINNER,Mathematics for Machine Learning: Linear Algebra,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2f/0dc8c0f1fa11e7998daf3442598f30/BLUE-Square-800x800-03.jpg.jpg,"[""fr""]","[""e3wiTwXMEeim8hI7AVpI6A""]",linear-algebra-machine-learning,[],"5 weeks of study, 2-5 hours/week",NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",wYVFrFUOEeiXDgqeSsw0yA,v2.ondemand,"Welcome to Introduction to Statistics & Data Analysis in Public Health!

This course will teach you the core building blocks of statistical analysis - types of variables, common distributions, hypothesis testing - but, more than that, it will enable you to take a data set you've never seen before, describe its keys features, get to know its strengths and quirks, run some vital basic analyses and then formulate and test hypotheses based on means and proportions. You'll then have a solid grounding to move on to more sophisticated analysis and take the other courses in the series. You'll learn the popular, flexible and completely free software R, used by statistics and machine learning practitioners everywhere. It's hands-on, so you'll first learn about how to phrase a testable hypothesis via examples of medical research as reported by the media. Then you'll work through a data set on fruit and vegetable eating habits: data that are realistically messy, because that's what public health data sets are like in reality. There will be mini-quizzes with feedback along the way to check your understanding. The course will sharpen your ability to think critically and not take things for granted: in this age of uncontrolled algorithms and fake news, these skills are more important than ever.

Prerequisites

Some formulae are given to aid understanding, but this is not one of those courses where you need a mathematics degree to follow it. You will need only basic numeracy (for example, we will not use calculus) and familiarity with graphical and tabular ways of presenting results. No knowledge of R or programming is assumed.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""31616650""]","[""Alex Bottle""]",BEGINNER,Introduction to Statistics & Data Analysis in Public Health,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/18/22be103b8511e9a8b7a3503fc4ab16/Statistics-for-Public-Health.png,"[""en""]","[""9GJm7lUPEeisFQ4yhHotIA""]",introduction-statistics-data-analysis-public-health,[],2-5 hours/week,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",YZ6DsKCgEeiTmxIgGrrMPg,v2.ondemand,"This specialization is intended for people interested in health systems and how they function. Participants will learn about the global health systems landscape and the challenges and opportunities to achieve better health outcomes. 

This specialisation is divided into three courses which are offered as massive online open access courses (Courses 1-3), and a fourth course which is offered as part of the Online MPH degree (capstone). The Health Systems Development specialisation is geared toward learners who have no prior knowledge of health systems or those who are starting to explore this area of study. Overall, sessions in this specialisation span 16 week with approximately 96 hours of viewing learning materials per week. Formative assessments in the form of quizzes and activities are incorporated throughout the weeks to help learners gauge their level of depth of understanding and to prepare them for their summative assessments. 

Participants will have the opportunity to explore a range of areas within health systems. The first course will introduce the main building blocks of health systems and shed some light on key components of well-functioning health systems including how health system performance is assessed. In course two, students will learn how to conduct a health impact assessment and how to assess the impacts of policies, plans and projects, as well as how that support decision-makers make choices regarding alternatives and improvements to prevent disease or injury and to actively promote health. The third course explores   human   resources   for   health   and   service   delivery.  In this course, students will learn about and analyse country experiences in transforming health services delivery, and interventions and to address human resources for health challenges at a global level. 

By the end of this specialisation, learners should be able to identify key components of, and critically compare, different health systems; analyse country experiences in transforming   services; and apply theoretical framework for assessing the health impacts of policies, plans and projects.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""38223511""]","[""Dr Sondus Hassounah""]",BEGINNER,"Health Systems Development: Health systems, Policy and Research","[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/85/9160b1d2fb459abf29a84655b11fea/Health-Systems-Development_2.png,"[""en""]","[""ue9XQaCdEeit0w4Z4qTNFA""]",healthsystems-policy-research,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",1h1TW8f-Ee2EthIjloVnZw,v2.ondemand,"Creativity is important in nearly every facet of life. Advances in neuro-science, computing and psychology, along with developments in other domains and cross-disciplinary areas have resulted in ever increasing understanding of creativity. This module will explore some advanced approaches to creativity such as the use of analogy and metaphor, various thinking styles and the role of artificial intelligence. A framework called the creativity diamond is used to guide the selection of approach to creativity relevant to your project or activity. 

WHAT YOU WILL LEARN
•	Biomimicry and using insights from nature
•	Use of analogy and metaphor in creativity
•	A range of creative thinking and reasoning approaches
•	The use of AI to generate creative outcomes
•	Attributes of creativity and their assessment
•	Use of the creativity diamond

SKILLS YOU WILL GAIN
•	Biomimicry
•	Use of analogy and metaphor in creativity
•	Accelerated proficiency in creative thinking styles
•	Use of some AI enabled platforms to generate outputs
•	Creativity assessment
•	Use of the creativity diamond in practice to aid in the selection of an approach to creativity relevant to your project or activity","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""40585714""]","[""Peter Childs""]",ADVANCED,Advanced Creative Thinking and AI: Tools for Success,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/84/9a606078934687b849df8b58e28e36/ctt-red-square.png,"[""en""]","[""HJM9WFIuR7iu7j7XzGBJMw""]",advanced-creative-thinking,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",_o2ptFUOEeiN5g6qr8gNVg,v2.ondemand,"Welcome to Linear Regression in R for Public Health!

Public Health has been defined as “the art and science of preventing disease, prolonging life and promoting health through the organized efforts of society”. Knowing what causes disease and what makes it worse are clearly vital parts of this. This requires the development of statistical models that describe how patient and environmental factors affect our chances of getting ill. This course will show you how to create such models from scratch, beginning with introducing you to the concept of correlation and  linear regression before walking you through importing and examining your data, and then showing you how to fit models. Using the example of respiratory disease, these models will describe how patient and other factors affect outcomes such as lung function. 

Linear regression is one of a family of regression models, and the other courses in this series will cover two further members. Regression models have many things in common with each other, though the mathematical details differ. 
This course will show you how to prepare the data, assess how well the model fits the data, and test its underlying assumptions – vital tasks with any type of regression. 
You will use the free and versatile software package R, used by statisticians and data scientists in academia, governments and industry worldwide.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""31616650"", ""30833443""]","[""Alex Bottle"", ""Victoria Cornelius""]",INTERMEDIATE,Linear Regression in R for Public Health ,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/45/2eb9903b8511e9ba5799dc2e242ac4/Statistics-for-Public-Health-_2_.png,"[""en""]","[""9GJm7lUPEeisFQ4yhHotIA""]",linear-regression-r-public-health,[],4 weeks of study 3-5 hours per week ,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",ujsFsqCdEeiBswr2HWu1LA,v2.ondemand,"This specialization is intended for people interested in health systems and how they function. Participants will learn about the global health systems landscape and the challenges and opportunities to achieve better health outcomes. 

This specialisation is divided into three courses which are offered as massive online open access courses (Courses 1-3), and a fourth course which is offered as part of the Online MPH degree (capstone). The Health Systems Development specialisation is geared toward learners who have no prior knowledge of health systems or those who are starting to explore this area of study. Overall, sessions in this specialisation span 16 week with approximately 96 hours of viewing learning materials per week. Formative assessments in the form of quizzes and activities are incorporated throughout the weeks to help learners gauge their level of depth of understanding and to prepare them for their summative assessments. 

Participants will have the opportunity to explore a range of areas within health systems. The first course will introduce the main building blocks of health systems and shed some light on key components of well-functioning health systems including how health system performance is assessed. In course two, students will learn how to conduct a health impact assessment and how to assess the impacts of policies, plans and projects, as well as how that support decision-makers make choices regarding alternatives and improvements to prevent disease or injury and to actively promote health. The third course explores   human   resources   for   health   and   service   delivery.   In   this   course, students will learn about and analyse country experiences in transforming health services delivery, and interventions and to address human resources for health challenges at a global level. 

By the end of this specialisation, learners should be able to identify key components of, and critically compare, different health systems; analyse country experiences in transforming   services; and apply theoretical framework for assessing the health impacts of policies, plans and projects.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""38223511""]","[""Dr Sondus Hassounah""]",BEGINNER,Health Systems Development: Introduction to Health Systems,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/98/ea914ae1614f35ad7af2703b8296af/Health-Systems-Development.png,"[""en""]","[""ue9XQaCdEeit0w4Z4qTNFA""]",introduction-to-health-systems,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert""]",IlcRMkZQEemQpxIzLJmmIg,v2.ondemand,"In today’s ever-growing and changing world, being able to think creatively and innovatively are essential skills. It can sometimes be challenging to step back and reflect in an environment which is fast paced or when you are required to assimilate large amounts of information. Making sense of or communicating new ideas in an innovative and engaging way, approaching problems from fresh angles, and producing novel solutions are all traits which are highly sought after by employers.

This course will equip you with a ‘tool-box’, introducing you to a selection of behaviours and techniques that will augment your innate creativity. Some of the tools are suited to use on your own and others work well for a group, enabling you to leverage the power of several minds.  You can pick and choose which of these tools or techniques suit your needs and interests, focusing on some or all of the selected approaches and in the order that fits best for you.

The practical approach of this course enables you to acquire an essential skill-set for generating ideas, with plenty of:
- Fun e-tivities and exercises;
- Practical lectures and tips;
- Video representations of the techniques in action.

By the end of this course you should be able to:
- Pick a type of brainstorming you think will be useful to apply to a challenge
- Use alphabet brainstorming in tackling a challenge
- Use grid brainstorming in tackling a challenge
- Use a morphological chart to synthesise a solution to a challenge
- Use the TRIZ contradiction matrix to identify recommended inventive principles
- Apply SCAMPER to a range of challenges

The greatest innovators aren’t necessarily the people who have the most original idea. Often, they are people- or teams- that have harnessed their creativity to develop a new perspective or more effective way of communicating an idea. You can train your imagination to seize opportunities, break away from routine and habit, and tap into your natural creativity.

Join this course and a community of practitioners in CREATIVITY!","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""40585714""]","[""Peter Childs""]",BEGINNER,Creative Thinking: Techniques and Tools for Success,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/88/ebc021015445b3be6555240ed48aa8/CTT_course-image_Coursera.png,"[""en""]",[],creative-thinking-techniques-and-tools-for-success,[],2-4 hours/week,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",qbM9LpvmEemA0hKe-F0jpg,v2.ondemand,"This course is an ideal introduction into creating virtual environments in Android.  This course is unique as it covers a range of tools and techniques to create immersive 3D environments, giving you a rounded skill set in this growing field.  By the end of this course, you will really be able to bring your VR ideas to life!  

The first part of the course covers animation, lighting and reflection.  We then move onto textures and handling multiple 3D objects.  Finally, we'll look at housing all of this within a binocular view to create a VR experience. 

There are practical exercises throughout the course to apply your understanding, and there is a summative project which can form part of your professional portfolio.

This course assumes a knowledge of Android programming and OpenGL. I recommend completing my two Coursera courses on these topics, as these are the perfect primer.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""26194744""]","[""Benny Lo""]",ADVANCED,3D Graphics in Android: Sensors and VR,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/91/9fa2c93a9a4909a49818f81c1b6cad/AADA_Icon-04.png,"[""en""]","[""uGxPdZvmEemOCRIlCDX_4g""]",3d-graphics-android-sensors-vr,[],"4 weeks of study, around 6 hours per week.  The final project will take around 10 hours to complete.",NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",BBAJbKEtEeiOvQ5N8TRolA,v2.ondemand,"The Foundations of Public Health Practice: The Public Health Toolkit builds on public health thinking (introduced in the previous course) and introduces a variety of core public health approaches (the toolkit) to conceptualising problems, conducting analysis and bringing forward recommendations. In this course we cover health needs assessment, evaluation and public health intelligence-approaches.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}]","[""35734520""]","[""Dr Richard J Pinder""]",BEGINNER,Foundations of Public Health Practice: The Public Health Toolkit ,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0a/afa7803b7f11e9ba5799dc2e242ac4/Foundations-of-Public-Health-Practice.png,"[""en""]","[""69PSN6CcEeiN7hKle_8b6g""]",the-public-health-toolkit,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",w3UFMr8iEemSrxJOw9KoXA,v2.ondemand,"This capstone project has been designed as an opportunity to practice what you have learned in the first 3 courses of this specialisation. This capstone project consists of 4 assignments. You will have to develop an immersive Android app with the use 3D graphics, sensor control and VR. For the first assignment, you will have to develop a virtual art gallery using the Android Canvas drawing functions introduced in Course 1 ""Introduction to Android graphics"". The second assignment entails the design and development of a virtual 3D art gallery based on OpenGL ES applying the knowledge and skills acquired in Course 2 ""Android Graphics with OpenGL ES"". For the third assignment you will create a virtual reality app with your 3D art gallery, using advanced techniques like introducing sensor control, animations, binocular view for VR, lighting effects and texture mapping, based on the knowledge and skills you learned in Course 3 ""3D Graphics in Android: Sensors and VR"". For the final submission of the capstone project we give you the avenue to combine your creativity with all the knowledge and skills you gained in Android graphics programming from the three first courses. This capstone is intended for learners with basic knowledge in Android app development seeking to develop knowledge in computer graphics and virtual reality in Android. The learners should have completed the 3 courses in this specialisation (i.e.  Course 1 ""Introduction to Android graphics"", Course 2 ""Android Graphics with OpenGL ES"", and Course 3 ""3D Graphics in Android: Sensors and VR"") before starting this capstone project.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""26194744""]","[""Benny Lo""]",INTERMEDIATE,Advanced App Development in Android Capstone,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e9/38261eceb542e8bdac641147e811cc/AADA_Icon-05.png,"[""en""]","[""uGxPdZvmEemOCRIlCDX_4g""]",aada-capstone,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",mehgPKAdEeqNpQpCmwhgnQ,v2.ondemand,"This course introduces the field of digital health and the key concepts and definitions in this emerging field. The key topics include Learning Health Systems and Electronic Health Records and various types of digital health technologies to include mobile applications, wearable technologies, health information systems, telehealth, telemedicine, machine learning, artificial intelligence and big data. These technologies are assessed in terms of the key opportunities and challenges to their use and the evidence of their effectiveness in the field of digital health in relation to public health and healthcare globally. The use and application of digital health for COVID-19 forms a case study demonstrating the use of different types of digital health technologies to address key aspects of the response to the virus globally.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""74371106""]","[""Ana Luisa Neves""]",INTERMEDIATE,Introduction to Digital health,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0c/60bb293e534e14bb0805fe650a5989/Digital-Health-3-.jpg,"[""en""]","[""xqSTqaQeEeqK2Q6xUWz2Fw""]",introduction-to-digital-health,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],[],xmxEgUjrEeqWvBKZy5s3UQ,v2.ondemand,"Welcome to ‘Science Matters: Let's Talk about COVID-19’, from the Jameel Institute at Imperial College London.

The outbreak of the Novel Coronavirus Disease (COVID-19) is the most significant public health emergency of the 21st century so far. As the epidemic spreads, people around the world want to understand the science behind the most pressing questions: how many people have been infected? How dangerous is the virus? When will a vaccine be available? How can the epidemic be contained, and the damages mitigated? What is the economic impact? What’s the role of social media and local communities in the epidemic response? 

Researchers at the Jameel Institute and other research institutes at Imperial College London have been at the forefront of the response to the COVID-19 emergency, with clinical, epidemiological and social science analyses informing the outbreak response. They are generating robust empirical evidence that governments and international agencies are using around the world to plan their responses. 

On this course, you will hear directly from our world-class experts about the theory behind the analyses of COVID-19 and its spread, while learning how to interpret new information using core principles of public health, epidemiology, medicine, health economics, and social science. You will be able to watch regular situation reports about the state of the epidemic, provided by the researchers of J-IDEA and its director Professor Neil Ferguson. 

If you want to learn even more about these topics, a number of free MOOCs are available from Imperial College London. We also offer a fully online Global Master of Public Health for those of you who want to delve even deeper and join our professional community. 

Please note:

This course was launched in February 2020 and we have continued to develop content as the COVID-19 situation progresses and new insights emerge. While we endeavour to include the most recent information, this is a fast-moving situation and information is constantly changing. 

This course is to be used for educational purposes only and is open to all and free of charge. 

The information in this course does not constitute clinical or other advice and must not be used for the purposes of providing any clinical or other advice. If you have any health concerns, please refer to your regional health authorities’ guidelines and consult a medical professional.

Please note the views expressed by individuals in the course content do not necessarily reflect those of Imperial College London, the Jameel Institute and any other funding partners. 

Imperial College London, the Jameel Institute and any other funding partners shall not be liable, to the maximum extent permitted by law, for any loss suffered or for any other adverse or negative consequence arising directly or indirectly from your reliance on the information contained in this course.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""research""}]","[""18930304"", ""48760545"", ""45610990""]","[""Helen Ward "", ""Katharina Hauck"", ""Oliver Geffen Obregon""]",BEGINNER,Science Matters: Let's Talk About COVID-19,"[""434"", ""630""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London"", ""Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA)""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/34/068af22e1b46f78cae5f5b1e919ecc/Covid-19.png,"[""en""]",[],covid-19,[],1 hour/module,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",ZCk7nKCiEeiMLxLa-jTn0A,v2.ondemand,"The other two courses in this specialisation require you to perform deterministic modelling - in other words, the epidemic outcome is predictable as all parameters are fully known. However, this course delves into the many cases – especially in the early stages of an epidemic – where chance events can be influential in the future of an epidemic. So, you'll be introduced to some examples of such ‘stochasticity’, as well as simple approaches to modelling these epidemics using R. You will examine how to model infections for which such ‘population structure’ plays an important role in the transmission dynamics, and will learn some of the basic approaches to modelling vector-borne diseases, including the Ross-McDonald Model. 

Even if you are not designing and simulating mathematical models in future, it is important to be able to critically assess a model so as to appreciate its strengths and weaknesses, and identify how it could be improved. One way of gaining this skill is to conduct a critical peer review of a modelling study as a reviewer, which is an opportunity you'll get by taking this course.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""40203219""]","[""Nimalan Arinaminpathy""]",INTERMEDIATE,Building on the SIR Model,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6d/91b493502b49dc85a52d85193cb3a2/Infectious-Disease-Modelling-3-.jpg,"[""en""]","[""E9pKjKCeEeixlg5fiZTWeA""]",building-on-the-sir-model,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",oXasXIY_EeeL9BLE3sEj-g,v2.ondemand,"This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. We start at the very beginning with a refresher on the “rise over run” formulation of a slope, before converting this to the formal definition of the gradient of a function. We then start to build up a set of tools for making calculus easier and faster. Next, we learn how to calculate vectors that point up hill on multidimensional surfaces and even put this into action using an interactive game. We take a look at how we can use calculus to build approximations to functions, as well as helping us to quantify how accurate we should expect those approximations to be. We also spend some time talking about where calculus comes up in the training of neural networks, before finally showing you how it is applied in linear regression models. This course is intended to offer an intuitive understanding of calculus, as well as the language necessary to look concepts up yourselves when you get stuck. Hopefully, without going into too much detail, you’ll still come away with the confidence to dive into some more focused machine learning courses in future.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""26267493"", ""26218689"", ""19621896""]","[""Samuel J. Cooper"", ""David Dye"", ""A. Freddie Page""]",BEGINNER,Mathematics for Machine Learning: Multivariate Calculus,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f4/ed4d40f1fa11e78060abd1859ab057/LIGHT-Square-800x800-01.jpg.jpg,"[""en""]","[""e3wiTwXMEeim8hI7AVpI6A""]",multivariate-calculus-machine-learning,[],"6 weeks of study, 2-5 hours/week",NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",fK0NN5vmEemPnAqQzvu6Cg,v2.ondemand,"This course will cover the fundamentals of OpenGL and OpenGL ES in Android.  This course is unique because it covers the mechanics of how OpenGL works and also more practical applications to draw 2D and 3D objects.  This is an ideal primer for more complex courses on VR and AR within Android.  

We'll begin by covering the OpenGL Pipeline and Shading Language.  Then we'll look at drawing simple 2D objects and increasingly complicated 3D objects in OpenGL and OpenGL ES.  

There are practical exercises throughout the course to apply your understanding, and there is a summative project which can form part of your professional portfolio.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""26194744""]","[""Benny Lo""]",INTERMEDIATE,Android Graphics with OpenGL ES,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7d/4da7461a1e49fc9d8d98997284d00b/AADA_Icon03.png,"[""en""]","[""uGxPdZvmEemOCRIlCDX_4g""]",android-graphics-opengl-es,[],"4 weeks of study, around 5 hours per week.  The final project will take around 10 hours to complete.",NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",JwG-kuBNEemOxxIXN39M3A,v2.ondemand,"Welcome to this course on Probabilistic Deep Learning with TensorFlow!

This course builds on the foundational concepts and skills for TensorFlow taught in the first two courses in this specialisation, and focuses on the  probabilistic approach to deep learning. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real world datasets. This is a crucial aspect when using deep learning models in applications such as autonomous vehicles or medical diagnoses; we need the model to know what it doesn't know.

You will learn how to develop probabilistic models with TensorFlow, making particular use of the TensorFlow Probability library, which is designed to make it easy to combine probabilistic models with deep learning. As such, this course can also be viewed as an introduction to the TensorFlow Probability library.

You will learn how probability distributions can be represented and incorporated into deep learning models in TensorFlow, including Bayesian neural networks, normalising flows and variational autoencoders. You will learn how to develop models for uncertainty quantification, as well as generative models that can create new samples similar to those in the dataset, such as images of celebrity faces.

You will put concepts that you learn about into practice straight away in practical, hands-on coding tutorials, which you will be guided through by a graduate teaching assistant. In addition there is a series of automatically graded programming assignments for you to consolidate your skills.

At the end of the course, you will bring many of the concepts together in a Capstone Project, where you will develop a variational autoencoder algorithm to produce a generative model of a synthetic image dataset that you will create yourself.

This course follows on from the previous two courses in the specialisation, Getting Started with TensorFlow 2 and Customising Your Models with TensorFlow 2. The additional prerequisite knowledge required in order to be successful in this course is a solid foundation in probability and statistics. In particular, it is assumed that you are familiar with standard probability distributions, probability density functions, and concepts such as maximum likelihood estimation, change of variables formula for random variables, and the evidence lower bound (ELBO) used in variational inference.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""44342400""]","[""Dr Kevin Webster""]",ADVANCED,Probabilistic Deep Learning with TensorFlow 2,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4e/2b5a2db9884ff7b02eb9bdf233403f/Logo-03.png,"[""en""]","[""ULKuv-X_EeqtkA5Jt4bR2Q""]",probabilistic-deep-learning-with-tensorflow2,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",OwkjCa-wEem5JxJyvVjVag,v2.ondemand,"The Health Protection course is the fourth instalment of the wider Foundations of Public Health Practice specialisation from Imperial College London's Global Master of Public Health (MPH). The scope and content of this course has been developed from the ground up by a combined team of academics and practitioners drawing on decades of real-world public health experience as well as deep academic knowledge. Through short video lectures, practitioner interviews and a wide range of interactive activities, learners will be immersed in the world of public health practice.

Designed for those new to the discipline, over three modules (intended for three weeks of learning), learners will become familiar with the scope, principles and nuances of health protection in the context of public health practice. Beginning with the basics of Water, Sanitation and Health (WASH) based interventions, the course will introduce learners to the science and principles of practical microbiology, before examining vaccines, incident management and the threat posed by a wide range of manmade and natural environmental threats. By the end of this course, learners will be familiar and conversant with core health protection principles and approaches, and confident in discussing health protection issues when they move into practice.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""35734520""]","[""Dr Richard J Pinder""]",BEGINNER,Foundations of Public Health Practice: Health Protection,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a4/9ba7170203482098d814d5d3d074e6/Foundations-of-Public-Health-Practice.png,"[""en""]","[""69PSN6CcEeiN7hKle_8b6g""]",health-protection,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",c_b2qdWGEeqFrQ4t1nXwAQ,v2.ondemand,"Migration and health is the second instalment of the wider Global Health Challenges and Governance specialisation from Imperial College London's Global Master of Public Health (GMPH). The scope and content of this course has been developed from the ground up by a combined team of academics and practitioners drawing on a wealth of real-world public health experience as well as deep academic knowledge. Through short video lectures, readings and a wide range of interactive activities, learners will be immersed in the intersection of migration and health.

Designed for those new to the discipline, over four modules (intended for one week of learning each), learners will become familiar with the relationship between migration and health. Learners will be introduced to key terms and global trends in migrations, the profound impact of crises in non-health sectors on health, and policy instruments addressing migration. By the end of this course, learners will be able to describe international treaties protecting migrants’ right to health and migrant sensitive health systems. Learners will also be able to critically evaluate whether and how their national health system is providing universal health coverage to migrants. 

The subsequent course in this specialisation requires the knowledge from this course, as learners will take a deep dive into climate change by applying their global health analytical skills and knowledge of multilateral policy instruments to this important global health challenge.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""36578131"", ""57358867""]","[""Christina Atchison"", ""Wendy Kwok""]",BEGINNER,Migration and health,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9d/f7b08b0f11451aa0eff603dea73234/Global-Health-Challenges-and-Governance.png,"[""en""]","[""CLYk39WGEeqEcQpEINbEww""]",migration-health,[],Approximately 30 hours to complete,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",dfe266CgEeii7w5FxZf2Sg,v2.ondemand,"This specialization is intended for people interested in health systems and how they function. Participants will learn about the global health systems landscape and the challenges and opportunities to achieve better health outcomes. 

This specialisation is divided into three courses which are offered as massive online open access courses (Courses 1-3), and a fourth course which is offered as part of the Online MPH degree (capstone). The Health Systems Development specialisation is geared toward learners who have no prior knowledge of health systems or those who are starting to explore this area of study. Overall, sessions in this specialisation span 16 week with approximately 96 hours of viewing learning materials per week. Formative assessments in the form of quizzes and activities are incorporated throughout the weeks to help learners gauge their level of depth of understanding and to prepare them for their summative assessments. 

Participants will have the opportunity to explore a range of areas within health systems. 
The first course will introduce the main building blocks of health systems and shed some light on key components of well-functioning health systems including how health system performance is assessed.
In course two, students will learn how to conduct a health impact assessment and how to assess the impacts of policies, plans and projects, as well as how that support decision-makers make choices regarding alternatives and improvements to prevent disease or injury and to actively promote health. 
The third course explores human resources for health and service delivery. In  this course, students will learn about and analyse country experiences in transforming health services delivery, and interventions and to address human resources for health challenges at a global level. 

By the end of this specialisation, learners should be able to identify key components of, and critically compare, different health systems; analyse country experiences in transforming   services; and apply theoretical framework for assessing the health impacts of policies, plans and projects.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""38223511""]","[""Dr Sondus Hassounah""]",BEGINNER,Health Systems Development: A Focus on Health Service Delivery and Human Resources for Health,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f7/26b540c96a4e318cf43abfa4c4d814/Health-Systems-Development.png,"[""en""]","[""ue9XQaCdEeit0w4Z4qTNFA""]",health-service-delivery-and-human-resources,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert""]",zIOH5WgFEeyQuAqyaULE4w,v2.ondemand,"TensorFlow 2 시작하기 과정에 오신 것을 환영합니다!

이 과정에서는 순차 API를 사용한 모델 구축, 훈련, 평가 및 예측, 모델 검증, 정규화, 콜백 구현, 모델 저장 및 로딩 등 Tensorflow를 사용하여 딥 러닝 모델을 개발하기 위한 완벽한 엔드-투-엔드 워크플로우를 배우게 됩니다. 

배운 개념을 실용적인 실습형 코딩 자습서에서 바로 연습할 것이며 이는 대학원 조교에게 안내를 받게 될 것입니다. 또한 기술을 통합할 수 있는 일련의 자동 채점 프로그래밍 과제가 있습니다.\n\n과정이 끝나면 이미지 분류기 딥 러닝 모델을 처음부터 개발하는 Capstone 프로젝트에 많은 개념을 통합할 것입니다.

Tensorflow는 오픈 소스 머신 라이브러리이며 딥 러닝에 가장 널리 사용되는 프레임워크 중 하나입니다. Tensorflow 2의 출시는 초심자에서 고급 수준에 이르기까지 모든 사용자의 사용 편의성에 중점을 둔 제품 개발의 단계적 변화를 나타냅니다. 이 과정은 Tensorflow 1.x에 대한 경험이 있는 사용자뿐만 아니라 경험이 없는 사용자 모두를 대상으로 합니다.

이 과정에서 성공하기 위해서는 파이썬 프로그래밍 언어(이 과정에서는 파이썬 3 사용), 일반적인 머신 러닝 개념(예: 과적합/과소적합, 지도 학습 작업, 검증, 정규화 및 모델 선택), 전형적인 모델 아키텍처(MLP/피드포워드 및 컨볼루션 신경망), 활성화 함수, 출력 레이어 및 최적화를 포함한 딥 러닝 분야의 실무 지식을 갖추고 있어야 합니다.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""44342400""]","[""Dr Kevin Webster""]",INTERMEDIATE,TensorFlow 2 시작하기,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0d/458e644df745e9a90d25826f0d5664/logo-01_00001_00000.jpg,"[""ko""]",[],getting-started-with-tensor-flow2-ko,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",rzW84KQeEeqBTA4DBz42nQ,v2.ondemand,"This course focuses on data, evaluation methods and the economic evaluation of digital health interventions. This module focuses on key data considerations for digital health including data management, data visualisation and methods for evaluating digital health interventions. The key focus is on experimental and quasi-experimental design approaches that can be applied to evaluating digital health interventions and key considerations for the economic evaluation of digital health interventions.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""74371106""]","[""Ana Luisa Neves""]",INTERMEDIATE,Evaluation of Digital Health Interventions,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7d/a631f5b80840609645796c7dfc6307/Digital-Health-2-.png,"[""en""]","[""xqSTqaQeEeqK2Q6xUWz2Fw""]",evaluation-of-digital-health-interventions,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",CRZtetWGEeq3_Q6482R_Cw,v2.ondemand,"Globalisation and health governance is the first instalment of the wider Global Health Challenges and Governance specialisation from Imperial College London's Global Master of Public Health (GMPH). The scope and content of this course has been developed from the ground up by a combined team of academics and practitioners drawing on a wealth of real-world public health experience as well as deep academic knowledge. Through short video lectures, readings and a wide range of interactive activities, learners will be immersed in the world of global health.

Designed for those new to the discipline, over four modules (intended for one week of learning each), learners will become familiar with the scope, history, principles, stakeholders and conceptual frameworks of global health, globalisation and governance. But there is also important foundational content for those coming from more experienced backgrounds, as the course builds upon a strong tradition of advocacy in public health and broad perspective of the global health context by exploring institutional, economic, socio-cultural and ecological determinants of population health. By the end of the course, learners will be able to confidently describe how globalisation impacts health and health governance at local, national and multilateral levels, and craft well-reasoned, evidence-based arguments about global health challenges.

The subsequent courses require the knowledge from this course, as learners will take a deep dive into migration health and climate change by applying their foundational global health knowledge and advocacy skills to these important global health challenges.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""36578131"", ""57358867""]","[""Christina Atchison"", ""Wendy Kwok""]",BEGINNER,Globalisation and health governance,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5a/331b7e90bc4ded87f85170ad77fb21/Global-Health-Challenges-and-Governance-1-.jpg,"[""en""]","[""CLYk39WGEeqEcQpEINbEww""]",globalisation-health-governance,[],Approximately 30 hours to complete,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",ijrjpKEvEeihqhIzDkYAWA,v2.ondemand,"Quality improvement methods were first deployed in healthcare in e hospital settings. However, over the past decade particularly, there has been increasing focus on the application of these methods in improving population and public health. In this course, you will apply a combination of both approaches to population health improvement. You will also learn how to study and evaluate large improvement initiatives to capture learning effectively.

Learning Objectives: 

Apply quality improvement methods in combination with population health frameworks to design a population health improvement initiative 

Understand how the use of geographic information systems contributes to quality improvement 

Critique different study designs for studying quality improvement initiatives ","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""4854525""]","[""Dr Thomas Woodcock""]",INTERMEDIATE,Quality Improvement for Population Health,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7f/5f8d5cfa924cdb972496ffe02eb6c9/QIH-Logo-MOOC3.jpg,"[""en""]","[""bIYutaCeEeixlg5fiZTWeA""]",quality-improvement-for-population-health,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",Tr1MYcgNEeqPAhL868CW2w,v2.ondemand,"This course focuses on participatory approaches in research, known as 'public involvement' in the UK. You'll specifically, consider why citizens and patients would be involved in research and explore participatory approaches across and within the research cycle in more detail, diving into questions such as:
- what kinds of participation can be undertaken at each of the 7 stages of the cycle? 
- how can you utilise participation in research? 
- what examples of using participatory approaches exist in research?

While this course, as with the rest of the specialisation, focuses on public health and ways of involving citizens and patients across and within the research cycle, these concepts apply to other disciplines and kinds of research too. So, you don't have to be a public health specialist or work in healthcare to gain insight from this course. 

If you would like to learn more about the theories and core principles of participation within a public health context, we suggest taking Introduction to Participatory Approaches in Public Health. If you're planning a research project and want to include participatory approaches, explore our course Applying Participatory Approaches in Public Health Settings.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""research""}]","[""44377912"", ""18930304""]","[""Maria Piggin"", ""Helen Ward ""]",BEGINNER,Public Involvement in Research,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/85/4c1177b1404dd5ac6d55989c82b020/PAPH---MOOC-3.jpg,"[""en""]","[""_xbbaOg1EeqZQw5YrcP8PQ""]",public-involvement-in-research,[],"4 weeks of study, 4 hours per week",NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",zbAaXaCdEeiB7Q4qzU1p2g,v2.ondemand,"This course reflects on global health challenges and the role of innovative solutions in addressing them. By engaging in this course, you will be able to describe the principles and key types of innovation in order to characterise the fundamental features of new models of care and technologies. 

This course will review the basic features and principles of healthcare innovation. You'll be examining innovations developed to address global health challenges, ranging from simple low-cost technologies readily deployed in resource constrained settings to more complex combinations of organizational, business model and technology innovations. Throughout this course, you'll also consider how adoption and diffusion is influenced by social, economic and political factors and explore what is required to get an innovation in to practice, effectively, at scale.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""37559006""]","[""Dr Matthew Harris""]",BEGINNER,A Guide to Healthcare Innovation: Principles and Practice ,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/16/615284c2414d119f104ae3ecf27c12/Global-Health-Innovations.jpg,"[""en""]","[""zXHZNqCdEeiljQ5gmiahbg""]",guide-to-healthcare-innovation-principles-and-practice,[],4 weeks of study; approx. 4 hours per week,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",-8ysa1OzEe6lEA4NyJVIOQ,v2.ondemand,"This course describes the underpinning science around vaccines and their development. It will look at the immunological underpinnings of how vaccines induce protection. It will also look at the epidemiological basis of how vaccines are rolled out. Finally it will explore how new vaccines are developed.

On successful completion of the course, learners will be able to:

1. Understand how the immune response mediates vaccine protection
2. Explain how vaccines enter public health programs
3. Demonstrate your understanding of the challenges for the generation of a vaccine against disease

This is an intermediate series of courses intended for both clinical and non-clinical scientists who want to update their skills for work in clinical, academic, and pharmaceutical/bioscience industries, and is developed and delivered by experts working on viruses and novel vaccines.

To be successful in this series of courses, you should have basic knowledge in biology, genetics, microbiology or related fields.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}, {""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""46174750""]","[""John Tregoning""]",INTERMEDIATE,How Vaccines Work,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0b/0fc789a2664f2f8a8f0230c17bc796/MOOC1-Logo.png,"[""en""]","[""Nv1--xw0SDqc8MCXhwNrtw""]",how-vaccines-work,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",zzp26Sp4EeyavRI3rIvGvQ,v2.ondemand,"In this course, you will learn about the role of immune responses of the adaptive (acquired) immune system which provides specialised immunity against pathogens.  

Guided by our researchers in the Department of Immunity and Inflammation, we will take a closer look at the lymphocyte subsets and mechanisms involved in this delayed finely tuned response occurring days to weeks after the initial exposure to microbial antigens.  

We will also focus on the versatile cellular components which can distinguish between self- and nonself antigens and on how age affects the immune responses.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}]","[""120696380"", ""120570573""]","[""Malgorzata (Maggie) Trela"", ""Sophie Rutschmann""]",INTERMEDIATE,Immunology: Adaptive Immune System,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6c/f813f7d7064c96a10641dc16bb4847/MOOC-02.png,"[""en""]","[""5ITYuLSKEeu5VQ7j0l6laQ""]",immunology-adaptive-immune-system,[],"6 weeks of study, 1-2 hours/week",NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert""]",Rsf1AWocEeuQqxJ-6zCB-w,v2.ondemand,"This course teaches you about the global health harms caused by tobacco and the efforts underway to combat these. You'll analyse the strategies and tactics used by the tobacco industry, and their allies, to keep people buying their products, and you'll reflect on the role played by public health research in pushing back against this pressure with the ultimate aim of improving health.  

No matter your previous experience in this area, by the end of this course, you'll be able to describe the global harm to health caused by tobacco use and how policy is responding to this. You'll also be able to critique tobacco industry strategies that undermine tobacco control and discuss ways in which robust and timely research in strengthening tobacco control is key to policy and practice.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""40404738"", ""44404211""]","[""Anthony Laverty"", ""Christopher Millett""]",BEGINNER," Tobacco Control: Agile Policy, Research and Practice ","[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/de/d95e38b94345a7b872151e89667241/Population-Health-Improvement.png,"[""en""]",[],tobacco-control-agile-policy-research-practice,[],4 hours of study per week for 3 weeks ,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",HStXPFUPEeijOhIn2e06zA,v2.ondemand,"Welcome to Survival Analysis in R for Public Health!

The three earlier courses in this series covered statistical thinking, correlation, linear regression and logistic regression. This one will show you how to run survival – or “time to event” – analysis, explaining what’s meant by familiar-sounding but deceptive terms like hazard and censoring, which have specific meanings in this context. Using the popular and completely free software R, you’ll learn how to take a data set from scratch, import it into R, run essential descriptive analyses to get to know the data’s features and quirks, and progress from Kaplan-Meier plots through to multiple Cox regression. You’ll use data simulated from real, messy patient-level data for patients admitted to hospital with heart failure and learn how to explore which factors predict their subsequent mortality. You’ll learn how to test model assumptions and fit to the data and some simple tricks to get round common problems that real public health data have. There will be mini-quizzes on the videos and the R exercises with feedback along the way to check your understanding.

Prerequisites

Some formulae are given to aid understanding, but this is not one of those courses where you need a mathematics degree to follow it. You will need basic numeracy (for example, we will not use calculus) and familiarity with graphical and tabular ways of presenting results. The three previous courses in the series explained concepts such as hypothesis testing, p values, confidence intervals, correlation and regression and showed how to install R and run basic commands. In this course, we will recap all these core ideas in brief, but if you are unfamiliar with them, then you may prefer to take the first course in particular, Statistical Thinking in Public Health, and perhaps also the second, on linear regression, before embarking on this one.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""31616650""]","[""Alex Bottle""]",INTERMEDIATE,Survival Analysis in R for Public Health,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/92/45d5103b8511e9a5014b1a764bee1b/Statistics-for-Public-Health-_4_.png,"[""en""]","[""9GJm7lUPEeisFQ4yhHotIA""]",survival-analysis-r-public-health,[],3-5 hours/week,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",tPtunCdWEeyxgAr51Gjbpw,v2.ondemand,"Our immune system relies on an innate and an adaptive arm that communicate and collaborate to provide us with an optimal response against pathogens. This course focuses on our innate immunity which provides us our first, fast and inherited defence against infections.

In this course, you will take a closer look at the mechanisms and cellular components involved in this swift response that occurs within minutes of exposure to a threat. Throughout the course, and guided by our active researchers, you will have opportunities to recognise its key protective mechanisms and to explain their importance for our overall health. You will learn about the mechanisms it uses to inform our adaptive immune system of the presence of a threat, and understand how some environmental factors, such as our own internal microbiome, influences it. Finally, you will have opportunities to reflect on current related issues and controversies in this fascinating field of research.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}]","[""120570573"", ""120696380""]","[""Sophie Rutschmann"", ""Malgorzata (Maggie) Trela""]",INTERMEDIATE,Immunology: Innate Immune System,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/35/31cec530314a9993c6dd97ee91d35b/MOOC-01.svg.png,"[""en""]","[""5ITYuLSKEeu5VQ7j0l6laQ""]",immunology-innate-immune-system,[],"5 weeks of study, 1-2 hours/week",NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",MV0AxsgNEeqNwgqa2N6Pzw,v2.ondemand,"This course specifically explores approaches and tools  and how to apply them in public health settings. Students will learn how to critically analyse the power dynamics present between multidisciplinary stakeholders and appreciate the need for reciprocity between those delivering and those receiving health care; between both those conducting and those participating in research. They will also learn how to select and evaluate different participatory approaches to apply these to public health programmes and/or research. Tools with which to do this include undertaking a stakeholder-mapping exercise and needs assessment, including a critical and reasoned narrative to justify the approach.  

While this course, as with the rest of the specialisation, focuses on public health and ways of involving citizens and patients in programmes and research, these concepts apply to other disciplines too. So, you don't have to be a public health specialist or work in healthcare to gain insight from this course. 

If you would like to learn more about the theories and core principles of participation within a public health context, we suggest taking Introduction to Participatory Approaches in Public Health. If you're planning a research project and want to learn more about participation in resaerchs, explore our course Public Involvement in Research.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""research""}]","[""18930304""]","[""Helen Ward ""]",BEGINNER,Applying Participatory Approaches in Public Health Settings,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9e/eb63a9756f47c28154e03dfdac105c/PAPH---MOOC-2.jpg,"[""en""]","[""_xbbaOg1EeqZQw5YrcP8PQ""]",applying-participatory-approaches-in-public-health-settings,[],Approximately 3 hours of study per week over 5 weeks. ,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],"[""VerifiedCert"", ""Specialization""]",RufFVaQeEeq9dQqVkkCPcw,v2.ondemand,"This course covers various themes around design, regulatory approaches, ethics, technology adoption, implementation and strategy as applied to digital health. These session cover areas to include data regulations, examples of data breaches in digital health, the challenges and opportunities of technology adoption and implementation with a focus on the non-adoption, abandonment, scale-up, spread and sustainability framework (NASSS Framework). The strategy part of this course focuses on understanding a simple strategy for digital health through PESTLE and SWOT analysis, and examples of their application in digital health.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""animal-health""}, {""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""74371106""]","[""Ana Luisa Neves""]",INTERMEDIATE,Design and Implementation of Digital Health Interventions ,"[""434""]",http://coursera-university-assets.s3.amazonaws.com/6d/75f52ede1b4fd3874ecb977c12a2d9/IMPERIAL_logo_RGB_Blue_2024.png,"[""Imperial College London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9d/09abe47c20470d8ae1d4005bfb1dcb/Digital-Health-1-.png,"[""en""]","[""xqSTqaQeEeqK2Q6xUWz2Fw""]",digital-health-design-implementation,[],,NauK4VbcSk2EwqFV5,PUjEQz1RDBBMBCduh
[],[],Lg__Qy2SEe-O0g4bDQY6TQ,v2.ondemand,"Large language models (LLMs) are trained on human-generated text, but additional methods are needed to align an LLM with human values and preferences.

Reinforcement Learning from Human Feedback (RLHF) is currently the main method for aligning LLMs with human values and preferences. RLHF is also used for further tuning a base LLM to align with values and preferences that are specific to your use case.  

In this course, you will gain a conceptual understanding of the RLHF training process, and then practice applying RLHF to tune an LLM. You will: 

1. Explore the two datasets that are used in RLHF training: the “preference” and “prompt” datasets.

2. Use the open source Google Cloud Pipeline Components Library, to fine-tune the Llama 2 model with RLHF.

3. Assess the tuned LLM against the original base model by comparing loss curves and using the “Side-by-Side (SxS)” method.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""32696181""]","[""Nikita Namjoshi""]",INTERMEDIATE,Reinforcement Learning from Human Feedback,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f1/50767701fd4785b78b1ce62ff4236c/Screenshot-2024-06-18-at-1.02.23-PM.png,"[""en""]",[],reinforcement-learning-from-human-feedback-project,[],1 hour,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],[],NuFcERJaEe-r_Ar_6dbL9Q,v2.ondemand,"Learn how to build multimodal search and RAG systems. RAG systems enhance an LLM by incorporating proprietary data into the prompt context. Typically, RAG applications use text documents, but, what if the desired context includes multimedia like images, audio, and video? This course covers the technical aspects of implementing RAG with multimodal data to accomplish this.

1. Learn how multimodal models are trained through contrastive learning and implement it on a real dataset.

2. Build any-to-any multimodal search to retrieve relevant context across different data types.

3. Learn how LLMs are trained to understand multimodal data through visual instruction tuning and use them on multiple image reasoning examples.

4. Implement an end-to-end multimodal RAG system that analyzes retrieved multimodal context to generate insightful answers.

5. Explore industry applications like visually analyzing invoices and flowcharts to output structured data.

6. Create a multi-vector recommender system that suggests relevant items by comparing their similarities across multiple modalities.

As AI systems increasingly need to process and reason over multiple data modalities, learning how to build such systems is an important skill for AI developers.

This course equips you with the key skills to embed, retrieve, and generate across different modalities. By gaining a strong foundation in multimodal AI, you’ll be prepared to build smarter search, RAG, and recommender systems.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""92514301""]","[""Sebastian Witalec""]",INTERMEDIATE,Building Multimodal Search and RAG,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/28/af4552a3b54581a809275b257718b1/DeepLearning_Weaviate_Banner_1000x1000.png,"[""en""]",[],building-multimodal-search-and-rag,[],1 hour,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],[],CbTAluLmEe6s9Qr_2Qjvdw,v2.ondemand,"Knowledge graphs are used in development to structure complex data relationships, drive intelligent search functionality, and build powerful AI applications that can reason over different data types. Knowledge graphs can connect data from both structured and unstructured sources (databases, documents, etc.), providing an intuitive and flexible way to model complex, real-world scenarios. 

Unlike tables or simple lists, knowledge graphs can capture the meaning and context behind the data, allowing you to uncover insights and connections that would be difficult to find with conventional databases. This rich, structured context is ideal for improving the output of large language models (LLMs), because you can build more relevant context for the model than with semantic search alone. 

This course will teach you how to leverage knowledge graphs within retrieval augmented generation (RAG) applications. You’ll learn to:

1. Understand the basics of how knowledge graphs store data by using nodes to represent entities and edges to represent relationships between nodes.

2. Use Neo4j’s query language, Cypher, to retrieve information from a fun graph of movie and actor data.

3. Add a vector index to a knowledge graph to represent unstructured text data and find relevant texts using vector similarity search.

4. Build a knowledge graph of text documents from scratch, using publicly available financial and investment documents as the demo use case

5. Explore advanced techniques for connecting multiple knowledge graphs and using complex queries for comprehensive data retrieval.

6. Write advanced Cypher queries to retrieve relevant information from the graph and format it for inclusion in your prompt to an LLM.

After course completion, you’ll be well-equipped to use knowledge graphs to uncover deeper insights in your data, and enhance the performance of LLMs with structured, relevant context.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""156303938""]","[""Andreas Kollegger""]",INTERMEDIATE,Knowledge Graphs for RAG,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/25/ab2b09839e4a19b63dc107761fdeb0/V2_DeepLearning_Neo4js_Banner_1000x1000.png,"[""en""]",[],knowledge-graphs-rag,[],1 hour,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",YpwHVDb5EemE7gr4SGSAsA,v2.ondemand,"If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the DeepLearning.AI TensorFlow Developer Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. 

The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new DeepLearning.AI TensorFlow Developer Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""10261328""]","[""Laurence Moroney""]",INTERMEDIATE,"Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning","[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d7/3480fa43074d91966b7e684f521d72/Course-logo-1.png,"[""en""]","[""5ghJ5U8zEemp3woY6REV3A""]",introduction-tensorflow,[],"4 weeks, 4-5 hours/week",KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],[],ce6kg5lKEfCMGg5tbt5J0w,v2.ondemand,"Learn how to build and evaluate a data agent in “Building and Evaluating Data Agents,” a course created in collaboration with Snowflake, and taught by Anupam Datta, AI Research Lead, and Josha Reini, Developer Advocate at Snowflake.

You’ll design a data agent that connects to data sources (databases, files) and performs web searches to respond to users’ queries. The agent will consist of sub-agents, each specialized in connecting to a particular data source, and other sub-agents that summarize or visualize the results. To answer a particular query, the agent will use a planner that identifies which sub-agents to call and in what order.

You’ll add observability to the agent’s workflow and evaluate the quality of its output. Using an LLM-as-a-judge approach, you’ll assess whether the final answer is relevant to the user’s query and grounded in the collected data. You’ll also evaluate the process by determining whether the agent’s goal, plan, and actions (GPA) are all aligned.  

Finally, you’ll apply inline evaluations to evaluate the agent’s performance during runtime. At every retrieval step, you’ll evaluate if the collected data is relevant to the user’s query. The agent will use this evaluation score to decide if it needs to adjust its plan.

What you’ll do, in detail: 

Understand what data agents are and how they can be trustworthy when their goal, plan, and actions are properly aligned.
Build a data agent that plans, performs web searches ,and visualizes or summarizes the results, using a multi-agent workflow implemented in LangGraph. 
Expand the agent’s capabilities by adding a Cortex sub-agent that retrieves information from structured and unstructured data stored in Snowflake. 
Add tracing to the agent’s workflow to log the steps it takes to answer a query.
Evaluate the context relevance of the retrieved results, the groundedness of the final answer, and its relevance to the user’s query.
Measure the alignment of the agent’s goal, plan, and actions (GPA) by computing metrics such as plan quality, plan adherence, logical consistency, and execution efficiency. 
Improve the agent’s performance by adding inline evaluations and updating the agent’s prompt.

By the end, you’ll know how to build, trace, and evaluate a multi-agent workflow that plans tasks, pulls context from structured and unstructured data, performs web search, and summarizes or visualizes the final results.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""158326870"", ""3425077""]","[""Josh Reini"", ""Anupam Datta""]",INTERMEDIATE,Building and Evaluating Data Agents,"[""475"", ""1804""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI"", ""Snowflake""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b3/0d6a1d1df9410386f8a4b7f61719bb/DeepLearning_Snoflake_Data_Agents_Banner_1000x1000.png,"[""en""]",[],building-and-evaluating-data-agents,[],1 Hour 59 Minutes,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",qAyAY_jYEe685RKHZHPURQ,v2.ondemand,"This course is designed to enhance your skills by integrating AI chatbots as pair programmers in your development process. You’ll learn about how large language models (LLMs) work and how this general-purpose technology can be applied to common software development tasks to help boost productivity, creativity, and support you in your tasks as a developer. 

By the end of this course, you will be able to:
- Understand the differences between machine learning and traditional software development
- Describe how large language models generate text
- Prompt an LLM to assist in the tasks that make up the software developer role
- Guide an LLM to complete a task in a specific way by writing detailed prompts and iterating to improve output
- Leverage the depth of software development knowledge encoded in an LLM by prompting it to assume specific job roles or personas
- Write code quickly using an LLM as a pair-coding partner
- Analyze code for efficiency, security, and performance using an LLM

This course assumes you have a background in software development, but are new to using LLMs as part of your development process. By knowing how machine learning systems work, and having an understanding of how they can be applied in software development, you’ll be able to use them more effectively to support your growth and work as a developer or engineer.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""10261328""]","[""Laurence Moroney""]",BEGINNER,Introduction to Generative AI for Software Development,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/06/6b8d9c6bdd435aa857ec4e3220261c/1.png,"[""en""]","[""kgb7HYe7QYuFYDfOYudhwQ""]",introduction-to-generative-ai-for-software-development,[],"3 weeks of study, 5 hours/week",KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],[],e-aBCWCHEe-2SQr_4ZYIrQ,v2.ondemand,"In Building AI Applications with Haystack you will learn a high-level orchestration framework that helps ensure your applications are flexible, extendible, and maintainable, even as the technology stack changes, user needs arise, and new features are added.

Using a framework can provide common features out of the box that significantly speeds up the development process. Haystack offers robust and flexible architecture and framework for building AI applications. It manages complexity and helps you focus more on developing your application at a higher level of abstraction.

Throughout the course, you will develop several projects, including a RAG app, a news summarization app, a chat agent with function calling, and a self-reflecting agent with loops.

What you’ll do: 

1. Learn about the core abstractions and unique building blocks of the Haystack framework and see how these elements can be combined for various AI use cases.

2. Build a RAG pipeline by using Haystack components, pipelines, and document stores.

3. Create custom components in your pipeline by building a Hacker News summarizer that extends your app’s ability to access APIs.

4. Use conditional routing to create a branching pipeline with a fall back to web-search when the LLM does not have the context needed to fully respond to the user’s query.

5. Build a self-reflecting agent for named entity recognition with a Haystack pipeline that is able to loop using an output validator custom component.

6. Create a chat agent using OpenAI’s function-calling capabilities which allow you to provide Haystack pipelines as tools to the LLM, enhancing that agent’s capabilities.

Start building exciting LLM applications and optimizing your development workflow using Haystack.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""51818749""]","[""Tuana Çelik""]",INTERMEDIATE,Building AI Applications with Haystack,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e7/83317812c747a9b30927a4132a747d/DeepLearning_Haystack_Banner_1000x1000.png,"[""en""]",[],building-ai-applications-with-haystack,[],1 hour,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert""]",7YL6sFA0Ee-mywr_6bZvLw,v2.ondemand,"AI Python for Beginners is designed to help you leverage the power of Python programming, even if your goal isn’t to become a software developer or AI engineer. This four-part course that teaches you to code practical AI applications from day one, even if you've never programmed before. You’ll learn with support from an AI chatbot that can help you get immediate feedback, quickly fix bugs, and keep you on track while learning new skills. You'll gain a foundational understanding of Python while building AI-powered tools like custom recipe generators, smart to-do lists, and vacation planners, and learn essential programming concepts such as variables, functions, loops, and data structures. 

By the end of this course, you'll be able to write Python scripts that interact with large language models, automate tasks, analyze your own data, and even create simple AI agents - skills that are increasingly valuable across industries from tech and finance to healthcare and creative fields.

Accelerated learning with AI:

Experience a new kind of learning with AI chatbot integration. This intelligent assistant helps you write, test, and debug code, providing instant feedback and personalized guidance, making sure you’re never coding alone. With the rise of AI tools, the effort and time required to learn helpful coding skills has significantly decreased, making it more accessible and beneficial for everyone.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""1244""]","[""Andrew Ng""]",BEGINNER,AI Python for Beginners,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5f/5aa9c6e1294a709effcea101c5eec3/BC-5768_VisMerch-Phase-3-Assets_DeepLearning_AIPython.png,"[""en""]",[],ai-python-for-beginners,[],4 hours,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],[],E1HEfRipEe-JcQr_2GDxCw,v2.ondemand,"As AI moves beyond the cloud, on-device inference is rapidly expanding to smartphones, IoT devices, robots, AR/VR headsets, and more. Billions of mobile and other edge devices are ready to run optimized AI models. 

This course equips you with key skills to deploy AI on device:

1. Explore how deploying models on device reduces latency, enhances efficiency, and preserves privacy.

2. Go through key concepts of on-device deployment such as neural network graph capture, on-device compilation, and hardware acceleration.

3. Convert pretrained models from PyTorch and TensorFlow for on-device compatibility.

4. Deploy a real-time image segmentation model on device with just a few lines of code.

5. Test your model performance and validate numerical accuracy when deploying to on-device environments

6. Quantize and make your model up to 4x faster and 4x smaller for higher on-device performance.

7. See a demonstration of the steps for integrating the model into a functioning Android app.

Learn from Krishna Sridhar, Senior Director of Engineering at Qualcomm, who has played a pivotal role in deploying over 1,000 models on devices and, with his team, has created the infrastructure used by over 100,000 applications.

By learning these techniques, you’ll be positioned to develop and deploy AI to billions of devices and optimize your complex models to run efficiently on the edge.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""15240965""]","[""Krishna Sridhar""]",BEGINNER,Introduction to On-Device AI,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ca/fa850e93a44acca53f1f7cb10f5340/DeepLearning_Qualcomm_C1_Banner_1000x1000.png,"[""en""]",[],introduction-to-on-device-ai,[],1 hour,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",xQLEGt3VEe-4xBKadyB1EQ,v2.ondemand,"Advance your PyTorch skills by building sophisticated deep learning models and preparing them for deployment. You’ll design custom architectures that go beyond Sequential models, exploring Siamese Networks, ResNet, and DenseNet to understand how modern systems handle complex data. 

You’ll build Transformer architectures and explore how attention mechanisms power modern language models. You’ll also learn how diffusion models generate realistic images by reversing noise. Along the way, you’ll visualize model behavior using saliency maps and class activation maps, and prepare models for deployment with ONNX, MLflow, pruning, and quantization. By the end, you’ll be ready to create efficient, interpretable, and deployable PyTorch models for real-world deep learning tasks.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""10261328""]","[""Laurence Moroney""]",INTERMEDIATE,PyTorch: Advanced Architectures and Deployment,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/47/358e81299149af9dc30582643c629e/PyTorch-3-1000x1000-01.png,"[""en""]","[""GC-kdbQATRiFNjMXnRTb4g""]",pytorch-advanced-architectures-and-deployment,[],,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],[],PFuriVPpEe6BsQ7qaoXMiQ,v2.ondemand,"Machine learning and AI projects require managing diverse data sources, vast data volumes, model and parameter development, and conducting numerous test and evaluation experiments. Overseeing and tracking these aspects of a program can quickly become an overwhelming task.

This course will introduce you to Machine Learning Operations tools that manage this workload. You will learn to use the Weights & Biases platform which makes it easy to track your experiments, run and version your data, and collaborate with your team.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""139249163""]","[""Carey Phelps""]",INTERMEDIATE,Evaluating and Debugging Generative AI,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0e/c96db4428a466aa26417e1a5cc9f5c/DeepLearning_Weights_Biases_1000x1000.png,"[""en""]",[],evaluating-and-debugging-generative-ai-project,[],1 hour,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert""]",O-Zx7COrEeu1hw7_NRI1RQ,v2.ondemand,"Из этого курса вы узнаете, как создавать успешные проекты по машинному обучению. Вы — лидер команды по внедрению ИИ или хотите им стать? Этот курс научит вас ставить правильные цели для своей команды.

 Многое из содержимого этого курса никогда не предлагалось в других образовательных проектах и наработано на основе моего опыта построения и внедрения многочисленных проектов. В настоящий курс также включены два тренажера, которые позволят вам отработать принятие решений в ходе организации проектов по машинному обучению. Тренажеры дадут вам опыт, на получение которого иначе могло бы потребоваться несколько лет работы в машинном обучении.

После двух недель занятий вы: 
— поймете, как диагностировать ошибки в системах машинного обучения;
— научитесь выделять наиболее перспективные направления для снижения количества ошибок;
— получите знания о сложных настройках машинного обучения, таких как несоответствие наборов для обучения тестовым наборам, и сравнении показателей машины с показателями человеческого уровня;
— узнаете, как применять сквозное обучение (end-to-end learning), перенос обучения (transfer learning) и многозадачное обучение (multi-task learning).

Я видел, как команды специалистов впустую тратили месяцы и даже годы работы потому, что не понимали принципы, излагаемые в этом курсе. Я надеюсь, что этот двухнедельный курс сэкономит месяцы вашего времени.

Он независим от других, и для его прохождения нужны только базовые знания в области машинного обучения. Это третий курс специализации «Глубокое обучение».","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""1244"", ""20612763"", ""24382163""]","[""Andrew Ng"", ""Younes Bensouda Mourri"", ""Kian Katanforoosh""]",BEGINNER,Структурирование проектов по машинному обучению,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f6/53bf90104d11e8b2d89d7efe59d41d/CarouselAds_DL_ML.png,"[""ru""]",[],machine-learning-projects-ru,[],"2 weeks of study, 3-4 hours/week",KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],[],-yrKg_gOEe6erQr_9IRNEQ,v2.ondemand,"Enhancing a RAG system’s performance depends on efficiently processing diverse unstructured data sources. 

In this course, you’ll learn techniques for representing all sorts of unstructured data, like text, images, and tables, from many different sources and implement them to extend your LLM RAG pipeline to include Excel, Word, PowerPoint, PDF, and EPUB files.


1. How to preprocess data for your LLM application development, focusing on how to work with different document types.

2. How to extract and normalize various documents into a common JSON format and enrich it with metadata to improve search results. 

3. Techniques for document image analysis, including layout detection and vision transformers, to extract and understand PDFs, images, and tables. 

4. How to build a RAG bot that is able to ingest different documents like PDFs, PowerPoints, and Markdown files.

Apply the skills you’ll learn in this course to real-world scenarios, enhancing your RAG application and expanding its versatility.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""152570138""]","[""Matthew Robinson""]",BEGINNER,Preprocessing Unstructured Data for LLM Applications,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f4/06c7ebb9914285b1ed5234bd4b1b77/DeepLearning_Unstructured_Banner_1000x1000.png,"[""en""]",[],preprocessing-unstructured-data-for-llm-applications,[],1 hour,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],[],TE1wIy15Ee6mDAo3fVlzHw,v2.ondemand,"In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model. Unlock new development capabilities and improve your efficiency in this brand new short course.

You’ll build: 
1. Chains of prompts that interact with the completions of prior prompts. 
2. Systems where Python code interacts with both completions and new prompts. 
3. A customer service chatbot using all the techniques from this course.

You’ll learn how to apply these skills to practical scenarios, including classifying user queries to a chat agent’s response, evaluating user queries for safety, and processing tasks for chain-of-thought, multi-step reasoning. 

This one-hour course, taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI), builds on the lessons taught in the popular ChatGPT Prompt Engineering for Developers, though it is not a prerequisite. Hands-on examples make each concept easy to understand. Built-in Jupyter notebooks allow you to seamlessly experiment with the code and prompts presented in the course.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""1244"", ""137229549""]","[""Andrew Ng"", ""Isa Fulford""]",BEGINNER,Building Systems with the ChatGPT API,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/70/d9f26df5a044eea37c8d49cc88f140/Screenshot-2023-07-28-at-12.07.47-PM.png,"[""en""]",[],building-systems-with-the-chatgpt-api-project,[],1 hour ,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert""]",-dStqHwLEemRuwqxTtPkKg,v2.ondemand,"La IA no es solo para ingenieros. Si desea que su organización esté mejor preparada en el uso de la IA, este es el curso que todos deberían hacer, especialmente sus colegas no técnicos.

En este curso, aprenderá lo siguiente:

- El significado detrás de la terminología común de IA, incluidos términos como redes neuronales, aprendizaje automático, aprendizaje profundo y ciencia de datos
- Lo que la IA puede realmente hacer, y lo que no
- Cómo detectar oportunidades para aplicar la IA a los problemas en su propia organización
- La experiencia de crear proyectos de ciencia de datos y aprendizaje automático
- Cómo trabajar con un equipo de IA y crear una estrategia de IA en su empresa
- Cómo guiar debates sociales y éticos entorno a la IA

Si bien este curso es en gran parte no técnico, los ingenieros también pueden hacerlo para aprender sobre los aspectos comerciales de la IA.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""1244""]","[""Andrew Ng""]",BEGINNER,IA Para Todos (Español),"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b2/65f2d3143d48b29c346332efac1118/AI4ESquareLogo.png,"[""es""]",[],ai-for-everyone-es,[],"4 weeks of study, 2-3 hours/week",KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert""]",lovaBiN3Eeui6AoQjSZBrQ,v2.ondemand,"Vous souhaitez vous lancer dans l’IA de pointe ? Ce cours est là pour vous y aider. Les ingénieurs en Deep Learning sont très convoités et la maîtrise de ce domaine vous ouvrira de nombreuses opportunités professionnelles. Le Deep Learning est également un nouveau « superpouvoir » qui vous permettra de développer des systèmes d’IA qui n’étaient même pas envisageables il y a encore quelques années.

Vous découvrirez dans ce cours les bases du Deep Learning. Une fois que vous l’aurez terminé, vous serez en mesure de :
- comprendre les grandes tendances technologiques sur lesquelles repose le Deep Learning ;
- développer, entraîner et utiliser des réseaux neuronaux profonds entièrement connectés ;
- mettre en œuvre des réseaux neuronaux efficaces (vectorisés) ;
- comprendre les principaux paramètres de l’architecture d’un réseau neuronal.

Ce cours ne se limitera pas à une description rapide ou superficielle du Deep Learning, mais vous expliquera également son fonctionnement. Une fois que vous l’aurez terminé, vous serez donc en mesure de l’utiliser dans vos propres applications. En outre, si vous recherchez un poste dans l’IA, vous aurez la capacité de répondre à des questions de base posées lors d’entretiens.

Il s’agit du premier cours de la Spécialisation Deep Learning.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""1244"", ""24382163"", ""20612763""]","[""Andrew Ng"", ""Kian Katanforoosh"", ""Younes Bensouda Mourri""]",INTERMEDIATE,Réseaux neuronaux et Deep Learning,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b0/279370104d11e8822ac99a970c5b43/CarouselAds_DL_Neural.png,"[""fr""]",[],neural-networks-deep-learning-fr,[],,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],[],6UAv8WVYEe-PwRId5CK9Jw,v2.ondemand,"Multimodal models like Gemini are pushing the boundaries of what’s possible by unifying traditionally siloed data modalities. With Gemini, you can build applications that seamlessly understand and reason across text, images, and videos, enabling a new class of intelligent systems. For example, building a virtual interior designer that can analyze a user’s room images, understand their style preferences from a text description, and generate personalized design recommendations. Or creating a smart document processing pipeline that can extract structured data from complex PDFs, answer questions based on the content, and generate human-like summaries.

You’ll learn prompt engineering techniques to guide Gemini’s behavior and optimize its performance for diverse use cases, from creative story generation to analytical report writing. And you’ll discover how to integrate Gemini with external APIs and databases using function calling, with the ability to infuse your applications with real-time data and dynamic content.

What you’ll learn, in detail: 

1. Introduction to Gemini Models: Explore the Gemini model family, and understand the key differences and use cases for Gemini Nano, Pro, Flash, and Ultra. Understand how to select optimal models based on capability, latency, and cost considerations. 

2. Multimodal Prompting and Parameter Control: Learn advanced techniques for structuring effective text-image-video prompts to elicit desired model behavior. Fine-tune key parameters like temperature, top_p, top_k to control model creativity vs determinism. 

3. Best Practices for Multimodal Prompting: Get experience with prompt engineering for Gemini multimodal models, and best practices around role assignment, task decomposition, and formatting. Analyze the impact of prompt-image ordering on model performance for different objectives. 

4. Creating Use Cases with Images: Build engaging multimodal applications like interior design assistants and receipt itemization tools. Leverage Gemini’s cross-modal reasoning capabilities to analyze relationships between entities across multiple images. 

5. Developing Use Cases with Videos: Implement “needle in the haystack” semantic video search powered by Gemini’s large context window. Explore techniques for long-form video QA and content summarization. 

6. Integrating Real-Time Data with Function Calling: Extend Gemini with external knowledge and live data via function calling and API integration. Combine Gemini’s Natural Language Understanding (NLU) capabilities with APIs for up-to-date facts and interactive services. 

Through this course, you’ll become well-versed in Gemini’s capabilities, how to maximize them in different use cases, and a portfolio of practical techniques for architecting advanced multimodal AI applications. 

Note that due to technical requirements, this course features downloadable-only notebooks on the learning platform. You are free to download, review, and run these notebooks on your own.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""28144993""]","[""Erwin Huizenga""]",BEGINNER,Large Multimodal Model Prompting with Gemini,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5b/8c3fa6bf024606982e0ec85e5ebba5/DeepLearning_Gemini_Banner_1000x1000.png,"[""en""]",[],large-multimodal-model-prompting-with-gemini,[],2 hours,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",BZ5quSvBEee6gA5XksfBbg,v2.ondemand,"In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. 

By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence; and implement a neural network in TensorFlow.

The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""1244"", ""24382163"", ""20612763""]","[""Andrew Ng"", ""Kian Katanforoosh"", ""Younes Bensouda Mourri""]",INTERMEDIATE,"Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization","[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e4/338aaaed464b91b04ddf65c50dd673/Course-logo-2.png,"[""en""]","[""W62RsyrdEeeFQQqyuQaohA""]",deep-neural-network,[],"At the rate of 5 hours a week, it typically takes 5 weeks to complete this course",KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert""]",zXXHzCUzEeuHsgrcqIyowQ,v2.ondemand,"Cette formation vous apprendra à construire des modèles pour le langage naturel, l’audio et les autres données de séquence. Grâce à l’apprentissage profond, les algorithmes de séquence fonctionnent beaucoup mieux qu’il y a deux ans ; nous disposons donc de nombreuses applications très intéressantes en matière de reconnaissance vocale, de synthèse musicale, de chatbots, de traduction automatique, de compréhension naturelle du langage, etc.

Vous allez:
- Comprendre comment construire et former des réseaux neuronaux récurrents (RNN) et des variantes couramment utilisées telles que les GRU et les LSTM.
-  Être capable d’appliquer des modèles de séquence à des problèmes de langage naturel, y compris la synthèse de texte.
-  Pouvoir appliquer des modèles de séquence à des applications audio, incluant la reconnaissance vocale et la synthèse musicale.

C’est le cinquième et dernier cours de la spécialisation Apprentissage profond.

deeplearning.ai travaille également en partenariat avec le NVIDIA Deep Learning Institute (DLI) dans le cours 5, Modèles de séquence, afin de fournir une affectation de programmation sur la traduction automatique avec l’apprentissage en profondeur. Vous aurez la possibilité de construire un projet d’apprentissage en profondeur avec un contenu de pointe, pertinent pour l’industrie.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""1244"", ""24382163"", ""20612763""]","[""Andrew Ng"", ""Kian Katanforoosh"", ""Younes Bensouda Mourri""]",INTERMEDIATE,Modèles de séquence,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/38/1d2dd0104e11e8a9fde55ba46c309d/CarouselAds_DL_Sequence.png,"[""fr""]",[],nlp-sequence-models-fr,[],,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],[],0ipzVf2MEe6RyAr_5D2CWQ,v2.ondemand,"Generative AI models, like large language models, often exceed the capabilities of consumer-grade hardware and are expensive to run. Compressing models through methods such as quantization makes them more efficient, faster, and accessible. This allows them to run on a wide variety of devices, including smartphones, personal computers, and edge devices, and minimizes performance degradation.

Join this course to:

1. Quantize any open source model with linear quantization using the Quanto library.

2. Get an overview of how linear quantization is implemented. This form of quantization can be applied to compress any model, including LLMs, vision models, etc.

3. Apply “downcasting,” another form of quantization, with the Transformers library, which enables you to load models in about half their normal size in the BFloat16 data type.

By the end of this course, you will have a foundation in quantization techniques and be able to apply them to compress and optimize your own generative AI models, making them more accessible and efficient.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""132283682"", ""152910793""]","[""Younes Belkada"", ""Marc Sun ""]",BEGINNER,Quantization Fundamentals with Hugging Face,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9a/adb5a91bc44441ad2b5d19215d6501/DeepLearning_Hugging_Face_QF_Banner_1000x1000.png,"[""en""]",[],quantization-fundamentals,[],1 hour,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],[],VMi-uQ1YEe-SXg6EFTZuww,v2.ondemand,"Join our new short course and learn from Jerry Liu, co-founder and CEO at LlamaIndex to start using agentic RAG, a framework designed to build research agents skilled in tool use, reasoning, and decision-making with your data.

In this course:

1. Build the simplest form of agentic RAG – a router. Given a query, the router will pick one of two query engines, Q&A or summarization, to execute a query over a single document.

2. Add tool calling to your router agent where you will use an LLM to not only pick a function to execute but also infer an argument to pass to the function.

3. Build a research assistant agent. Instead of tool calling in a single-shot setting, an agent is able to reason over tools in multiple steps. 

4. Build a multi-document agent where you will learn how to extend the research agent to handle multiple documents.

Unlike the standard RAG pipeline—suitable for simple queries across a few documents—this intelligent approach adapts based on initial findings to enhance further data retrieval. You’ll learn to develop an autonomous research agent, enhancing your ability to engage with and analyze your data comprehensively.

You’ll practice building agents capable of intelligently navigating, summarizing, and comparing information across multiple research papers from arXiv. Additionally, you’ll learn how to debug these agents, ensuring you can guide their actions effectively. 

Explore one of the most rapidly advancing applications of agentic AI!","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""156188303""]","[""Jerry Liu""]",BEGINNER,Building Agentic RAG with LlamaIndex,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/72/e07dcf0f874d67a3a6a8c9c44edb31/DeepLearning_lamaIndex_RAG_Banner_1000x1000_v2.png,"[""en""]",[],building-agentic-rag-with-llamaindex,[],1 hour,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",a9GgNyN0EeqHgQquzNaRiQ,v2.ondemand,"AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This Specialization will give you practical experience in applying machine learning to concrete problems in medicine.

Medical treatment may impact patients differently based on their existing health conditions. In this third course, you’ll recommend treatments more suited to individual patients using data from randomized control trials. In the second week, you’ll apply machine learning interpretation methods to explain the decision-making of complex machine learning models. Finally, you’ll use natural language entity extraction and question-answering methods to automate the task of labeling medical datasets.

These courses go beyond the foundations of deep learning to teach you the nuances in applying AI to medical use cases. If you are new to deep learning or want to get a deeper foundation of how neural networks work, we recommend that you take the Deep Learning Specialization.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""12206922"", ""48934094"", ""11909665"", ""170597538""]","[""Pranav Rajpurkar"", ""Bora Uyumazturk"", ""Amirhossein Kiani"", ""Eddy Shyu""]",INTERMEDIATE,AI For Medical Treatment,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/25/b1925661f343b18207ec6fd8f0347c/Course-Logo-3.png,"[""en""]","[""M4k2FiN0EeqnFRLwbdubGw""]",ai-for-medical-treatment,[],"3 weeks, 5-6 hours/week",KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],[],EArFbVrgEe-HJQr_z1qFow,v2.ondemand,"Join our new short course, Improving Accuracy of LLM Applications with Lamini and Meta. Learn from Sharon Zhou, Co-founder & CEO of Lamini, and Amit Sangani, Senior Director of Partner Engineering, Meta.

Many developers have experienced frustration with inconsistent results when working with LLM applications. This course offers a systematic approach to enhance the accuracy and reliability of your LLM applications.

You will build an SQL agent, add evaluation metrics to measure performance, and use prompt engineering and self-reflection to make the model perform better. Finally, you will fine-tune the model with techniques like LoRA and memory tuning that embeds facts in model weights to reduce hallucinations.

In this course, you’ll use Llama’s family of open-source models.

What you’ll do: 

1. Build a text to SQL agent and simulate situations where it hallucinates to begin the evaluation process. 

2. Build an evaluation framework to systematically measure performance, including criteria for good evaluations, best practices, and how to develop an evaluation score. 

3. Learn how instruction fine-tuning enhances pre-trained LLMs to follow instructions, and how memory fine-tuning embeds facts to reduce hallucinations. 

4. Break fine-tuning myths and see how Performance-Efficient Fine-tuning (PEFT) techniques like Low-Rank Adaptation(LoRA) reduce training time by 100x and Mixture of Memory Experts (MoME) reduces it even further. 

5. Go through an iterative process of generating training data and fine-tuning, learning practical tips such as adding examples, generating variations, and filtering generated data to increase model accuracy. 

Start improving the accuracy of LLM applications today!","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""33034026"", ""6539232""]","[""Sharon Zhou"", ""Amit Sangani""]",INTERMEDIATE,Improving Accuracy of LLM Applications,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/47/5ca4b3d34c492895b1ab269fb81137/DeepLearning_Lamini_Banner_1000x1000.png,"[""en""]",[],improving-accuracy-of-llm-applications,[],1 hour,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],[],7wpv4VveEe6rZAooU_uugw,v2.ondemand,"AI pair programming is being rapidly adopted by developers to help with tasks across the tech stack, from catching bugs to quickly inserting entire code snippets. 

Learn how LLMs can enhance, debug, and document your code in this new course built in collaboration with Google.

Get free access to Google’s PaLM API and get hands-on experience that you can apply to your own projects. You’ll learn how to use an LLM in pair programming to:

1. Simplify and improve your code

2. Write test cases 

3. Debug and refactor your code

4. Explain and document any complex code written in any coding language","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""10261328""]","[""Laurence Moroney""]",BEGINNER,Pair Programming with a Large Language Model,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/20/f1ed7bffb049738592d58886f771db/DeepLearning_Google_Palm_Banner_1000x1000.png,"[""en""]",[],pair-programming-llm,[],1 hour ,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",a-jcfN3VEe-4xBKadyB1EQ,v2.ondemand,"Master advanced PyTorch techniques to build high-performing, efficient deep learning models.

In this course, you’ll expand your skills in hyperparameter optimization, model profiling, and workflow efficiency. You’ll experiment with learning rate schedulers, tackle overfitting, and use automated hyperparameter tuning with Optuna to boost model performance. Learn how to design flexible architectures, measure model efficiency with the PyTorch Profiler, and make the most of your compute resources.

You’ll also dive into real-world applications using TorchVision for computer vision tasks like loading, transforming, and augmenting image data, and leveraging Hugging Face for natural language processing. You’ll apply transfer learning and fine-tune pre-trained models to adapt them for new problems.

By the end, you’ll know how to train smarter, optimize deeper, and build PyTorch models ready for production-level deployment.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""10261328""]","[""Laurence Moroney""]",INTERMEDIATE,PyTorch: Techniques and Ecosystem Tools,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8a/619ee102964103962242d7385faf43/Pytorch-2-1000x1000-01.png,"[""en""]","[""GC-kdbQATRiFNjMXnRTb4g""]",pytorch-techniques-and-ecosystem-tools,[],,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",k6snBDf0Ee-9Ig7qA4dB5w,v2.ondemand,"In this course, you'll elevate your software development skills by learning how to leverage AI in collaborative team environments. You'll discover how to use large language models (LLMs) to streamline testing processes, create comprehensive documentation, and manage complex dependencies.

By the end of this course, you will be able to:

- Utilize LLMs to generate and implement various types of software tests, from exploratory to security testing
- Create clear, useful documentation that follows best practices and language-specific conventions
- Use AI to explore and manage software dependencies, including resolving conflicts and addressing security issues
- Debug common dependency-related problems with AI as your pair-programmer

These skills will enhance your ability to work effectively in development teams, improve code quality, and streamline the software development lifecycle. By learning AI-assisted collaboration techniques, you'll become a more valuable asset to any development team and be better prepared to tackle complex, real-world software engineering challenges.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""10261328""]","[""Laurence Moroney""]",BEGINNER,Team Software Engineering with AI,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b9/93911b0d5949af993ae044ad5430b9/2.png,"[""en""]","[""kgb7HYe7QYuFYDfOYudhwQ""]",team-software-engineering-with-ai,[],"1 week, 5 hours/week",KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert""]",FTogwWgMEeyxLxJK4mLviw,v2.ondemand,"딥 러닝 전문화 과정의 세 번째 과정에서는 성공적인 머신 러닝 프로젝트를 구축하고 머신 러닝 프로젝트 리더로서 의사 결정을 연습하는 방법을 배우게 됩니다. 

이 과정을 마치면 머신 러닝 시스템의 오류를 진단할 수 있고, 오류를 줄이기 위한 전략의 우선 순위를 지정하고, 일치하지 않는 training/test set와 같은 복합적인 ML 설정을 이해하며 휴먼 레벨의 성능에 필적 및/또는 능가하는 ML 설정을 이해하고, 종단 간 학습, 전이 학습, 멀티 태스크 러닝을 적용할 수 있게 됩니다.

이는 또한 기본적인 머신 러닝 지식이 있는 학습자를 위한 독립형 과정입니다. 이 과정에서는 많은 딥 러닝 제품을 구축하고 출시한 Andrew Ng의 경험을 활용합니다. AI 팀의 방향을 제시할 수 있는 기술 리더가 되고 싶다면 이 과정은 수년간의 ML 업무 경험을 거친 후에 얻을 수 있는 ‘산업 경험’을 제공해드립니다.

딥 러닝 전문화 과정은 딥 러닝의 기능, 도전 과제 및 결과를 이해하고 첨단 AI 기술 개발에 참여할 수 있도록 준비하는 데 도움이 되는 기본 프로그램입니다. 머신 러닝을 업무에 적용하고, 기술 경력의 수준을 높이고, AI 세계의 최종적인 단계를 밟을 수 있는 지식과 기술을 쌓을 수 있는 경로를 제공합니다.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""1244""]","[""Andrew Ng""]",BEGINNER,머신 러닝 프로젝트 구조화,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/64/396db0843a456b8af3748b81aaa298/Course-logo-3.png,"[""ko""]",[],machine-learning-projects-ko,[],주당 5시간 기준의 경우 이 과정 완료에는 일반적으로 4주가 소요됩니다.,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert""]",10qhAiOaEeusew4XJ-az5w,v2.ondemand,"Ce cours vous apprendra à créer des réseaux neuronaux convolutifs et à les appliquer aux données d'image. Grâce à l'apprentissage en profondeur, la vision par ordinateur fonctionne beaucoup mieux qu'il y a seulement deux ans, ce qui permet de nombreuses applications passionnantes allant de la conduite autonome en toute sécurité, à la reconnaissance faciale précise, à la lecture automatique des images radiologiques.

Vous allez:
-  Comprendre comment créer un réseau neuronal convolutif, notamment les variations récentes telles que les réseaux résiduels.
-  Savoir appliquer les réseaux convolutifs aux tâches de détection et de reconnaissance visuelles.
- Savoir utiliser le transfert de style neuronal pour générer de l'art.
- Être à même d'appliquer ces algorithmes à une variété d'images, de vidéos et d'autres données 2D ou 3D.

Il s'agit du quatrième cours de spécialisation d'apprentissage approfondi.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""1244"", ""24382163"", ""20612763""]","[""Andrew Ng"", ""Kian Katanforoosh"", ""Younes Bensouda Mourri""]",INTERMEDIATE,Réseaux neuronaux convolutifs,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2a/5d4810104e11e8a405e7a3b3b97580/CarouselAds_DL_Convolutional.png,"[""fr""]",[],convolutional-neural-networks-fr,[],"4 semaines d'étude, 4-5 heures/semaine",KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",HPabOEObEe-xLxIpRr2Opw,v2.ondemand,"Throughout this course, you will learn the fundamental statistical concepts, analyses, and visualizations that serve as the foundation for a career as a data analyst.

Whether you're new to statistics or looking to refresh your skills, this course will equip you with powerful techniques to extract meaningful insights from your data. By the end of this course, you will feel more confident and capable of implementing rigorous statistical analyses in your career as a data analyst! 

In the first module, you’ll explore the essential building blocks of statistics that enable rigorous data analysis. By the end, you’ll be able to define populations, samples, and sampling methods; characterize datasets using measures of central tendency, variability, and skewness; use correlation to understand relationships between features; and employ segmentation to reveal insights about different groups within your data. You’ll apply these concepts to real-world scenarios: analyzing movie ratings and durations over time, explaining customer behavior, and exploring healthcare outcomes.

In the second module, you’ll cover key probability rules and concepts like conditional probability and independence, all with real-world examples you’ll encounter as a data analyst. Then you’ll explore probability distributions, both discrete and continuous. You'll learn about important distributions like the binomial and normal distributions, and how they model real-world phenomena. You’ll also see how you can use sample data to understand the distribution of your population, and how to answer common business questions like how common are certain outcomes or ranges of outcomes? Finally, you’ll get hands on with simulation techniques. You'll see how to generate random data following specific distributions, allowing you to model complex scenarios and inform decision-making.

In modules 3 and 4, you'll learn powerful techniques to draw conclusions about populations based on sample data. This is your first foray into inferential statistics. You’ll start by constructing confidence intervals - a way to estimate population parameters like means and proportions with a measure of certainty. You'll learn how to construct and interpret these intervals for both means and proportions. You’ll also visualize how this powerful technique helps you manage the inherent uncertainty when investigating many business questions. Next, you’ll conduct hypothesis testing, a cornerstone of statistical inference that helps you determine whether an observed difference reflects random variation or a true difference. You'll discover how to formulate hypotheses, calculate test statistics, and interpret p-values to make data-driven decisions. You’ll learn tests for means and proportions, as well as how to compare two samples.

Throughout the course, you’ll use large language models as a thought partner for descriptive and inferential statistics. You'll see how AI can help formulate hypotheses, interpret results, and even perform calculations and create visualizations for those statistics.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""1086407""]","[""Sean Barnes""]",BEGINNER,Applied Statistics for Data Analytics,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/94/e951d55497423bafa7e29ec4c5b9d5/C2_DeepLearning_Data_Analytics_Banner_1000x1000_V2_1.png,"[""en""]","[""qwJ828A1SqKUsjDKu83tfw""]",applied-statistics-for-data-analytics,[],,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],[],JfASfdBSEe6SjxKHxThXWw,v2.ondemand,"JavaScript is the world’s most popular programming language, and now developers can program in JavaScript to build powerful LLM apps.

This course will show webdevs how to expand their toolkits with LangChain.js, a popular JavaScript framework for building with LLMs, and will cover useful concepts for creating powerful, context-aware applications.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""148489782""]","[""Jacob Lee""]",INTERMEDIATE,Build LLM Apps with LangChain.js,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/28/99e98b5ec24b89a700ccf654cd4d88/Screenshot-2024-02-20-at-4.44.45-PM.png,"[""en""]",[],build-llm-apps-with-langchain-js-project,[],2 hours,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",5mAuak8zEemKoQ4qeYq26g,v2.ondemand,"If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the DeepLearning.AI TensorFlow Developer Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

In Course 2 of the DeepLearning.AI TensorFlow Developer Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models. 

The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""10261328""]","[""Laurence Moroney""]",INTERMEDIATE,Convolutional Neural Networks in TensorFlow,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fd/db224a1c984945930be2816b434565/Course-logo-2.png,"[""en""]","[""5ghJ5U8zEemp3woY6REV3A""]",convolutional-neural-networks-tensorflow,[],"4 weeks of study, 4-5 hours/week",KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",ckmH4bJfEeq29BI3aSBwNw,v2.ondemand,"In this course, you will:

• Compare Functional and Sequential APIs, discover new models you can build with the Functional API, and build a model that produces multiple outputs including a Siamese network.
• Build custom loss functions (including the contrastive loss function used in a Siamese network) in order to measure how well a model is doing and help your neural network learn from training data. 
• Build off of existing standard layers to create custom layers for your models, customize a network layer with a lambda layer, understand the differences between them, learn what makes up a custom layer, and explore activation functions. 
• Build off of existing models to add custom functionality, learn how to define your own custom class instead of using the Functional or Sequential APIs, build models that can be inherited from the TensorFlow Model class, and build a residual network (ResNet) through defining a custom model class. 


The DeepLearning.AI TensorFlow: Advanced Techniques Specialization introduces the features of TensorFlow that provide learners with more control over their model architecture and tools that help them create and train advanced ML models.  

This Specialization is for early and mid-career software and machine learning engineers with a foundational understanding of TensorFlow who are looking to expand their knowledge and skill set by learning advanced TensorFlow features to build powerful models.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""10261328"", ""170597538""]","[""Laurence Moroney"", ""Eddy Shyu""]",INTERMEDIATE,"Custom Models, Layers, and Loss Functions with TensorFlow","[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c2/0590d55e3c40f59f279eb976f5cab1/Course-Logo-1.png,"[""en""]","[""xrRvgRMqEeuaDgq2QnVodw""]",custom-models-layers-loss-functions-with-tensorflow,[],"At the rate of 5 hours a week, it typically takes 4 weeks to complete this course.",KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",TWpZK5LiEemyIAq1fAvhOg,v2.ondemand,"In Course 4 of the Natural Language Processing Specialization, you will:

a) Translate complete English sentences into Portuguese using an encoder-decoder attention model,
b) Build a Transformer model to summarize text, 
c) Use T5 and BERT models to perform question-answering.


By the end of this Specialization, you will have designed NLP applications that perform question-answering and sentiment analysis, and created tools to translate languages and summarize text!

Learners should have a working knowledge of machine learning, intermediate Python including experience with a deep learning framework (e.g., TensorFlow, Keras), as well as proficiency in calculus, linear algebra, and statistics. Please make sure that you’ve completed course 3 - Natural Language Processing with Sequence Models - before starting this course.
   
This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""28009072"", ""1843326"", ""170597538""]","[""Younes Bensouda Mourri"", ""Łukasz Kaiser"", ""Eddy Shyu""]",INTERMEDIATE,Natural Language Processing with Attention Models,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/45/a9251a70ed4db5a18da16d1526204f/Course-Logo-4.png,"[""en""]","[""_U5cASTxEemuhAoKFebZeA""]",attention-models-in-nlp,[],"At the rate of 5 hours a week, it typically takes 4 weeks to complete one Course. ",KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",Z5rfkzWeEeusTAqaKUMfXQ,v2.ondemand,"In the second course of the Machine Learning Specialization, you will:
• Build and train a neural network with TensorFlow to perform multi-class classification
• Apply best practices for machine learning development so that your models generalize to data and tasks in the real world
• Build and use decision trees and tree ensemble methods, including random forests and boosted trees

The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. 

This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.

This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. 

It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.)

By the end of this Specialization, you will have mastered key theoretical concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""1244"", ""77736236"", ""68361648"", ""170597538""]","[""Andrew Ng"", ""Aarti Bagul"", ""Geoff Ladwig"", ""Eddy Shyu""]",BEGINNER,Advanced Learning Algorithms,"[""475"", ""1""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI"", ""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/78/f17b8da6f949f28a5e35a70bf5a837/MLS.course-banners-01_Course-Logo-2---DLAI-web.png,"[""en""]","[""nOOfCDWeEeuiZgo2K4rorQ""]",advanced-learning-algorithms,[],"At the rate of 5 hours a week, it typically takes 4 weeks to complete this course.",KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",5SMf72SPEe-zpAr_3yhdQQ,v2.ondemand,"In this course, you’ll learn to communicate insights in ways that drive real decisions. You’ll explore how to choose the right format to present your findings and tailor your message to technical and non-technical audiences.

You’ll start by learning how to craft data stories that provide context and align with business goals. Then, you’ll apply those skills by designing clear, effective charts that highlight a single insight. Next, you’ll build interactive dashboards in Tableau using features like annotations, tooltips, and “Show Me.” These skills transfer easily to tools like Power BI and Looker Studio. In the final module, you’ll prepare for the job search: analyzing roles, tailoring your resume and portfolio, building your network, and getting ready for interviews.

Throughout the course, you’ll practice applying these skills to realistic business scenarios so you’re ready to share insights that influence decisions.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""1086407""]","[""Sean Barnes""]",BEGINNER,Data Storytelling,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b8/46a2c3c1574de2af692aae62bd5039/C5_DeepLearning_Data_Analytics_Banner_1000x1000_V2.png,"[""en""]","[""qwJ828A1SqKUsjDKu83tfw""]",dlai-data-storytelling,[],,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",GSl1EaxJEeytqw64hz8ZCw,v2.ondemand,"Newly updated for 2024! Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. In machine learning, you apply math concepts through programming. And so, in this specialization, you’ll apply the math concepts you learn using Python programming in hands-on lab exercises. As a learner in this program, you'll need basic to intermediate Python programming skills to be successful.

After completing this course, you will be able to:

•  Describe and quantify the uncertainty inherent in predictions made by machine learning models, using the concepts of probability, random variables, and probability distributions.
•  Visually and intuitively understand the properties of commonly used probability distributions in machine learning and data science like Bernoulli, Binomial, and Gaussian distributions
•  Apply common statistical methods like maximum likelihood estimation (MLE) and maximum a priori estimation (MAP) to machine learning problems
•  Assess the performance of machine learning models using interval estimates and margin of errors 
•  Apply concepts of statistical hypothesis testing to commonly used tests in data science like AB testing
•  Perform Exploratory Data Analysis on a dataset to find, validate, and quantify patterns.

Many machine learning engineers and data scientists need help with mathematics, and even experienced practitioners can feel held back by a lack of math skills. This Specialization uses innovative pedagogy in mathematics to help you learn quickly and intuitively, with courses that use easy-to-follow visualizations to help you see how the math behind machine learning actually works. 

We recommend you have a high school level of mathematics (functions, basic algebra) and familiarity with programming (data structures, loops, functions, conditional statements, debugging). Assignments and labs are written in Python but the course introduces all the machine learning libraries you’ll use.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""3938306""]","[""Luis Serrano""]",INTERMEDIATE,Probability & Statistics for Machine Learning & Data Science,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/46/8e9dd9c487408b8729acb7ec3719c7/Prob-DL_Square_Banner_Coursera_800x800.png,"[""en""]","[""_quj9TK6EeyT8xKdcQQUGQ""]",machine-learning-probability-and-statistics,[],"At the rate of 5 hours per week, it will take you around 4 weeks to complete.",KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],[],YyUHT4iKEe-Prw4pgRltBQ,v2.ondemand,"Join our new short course, Introducing Multimodal Llama 3.2, and learn from Amit Sangani, Senior Director of AI Partner Engineering at Meta, to learn all about the latest additions to the Llama models 3.1 and 3.2, from custom tool calling to multimodality and the new Llama stack.

Open models are a key building block of AI and a key enabler of AI research. With Meta’s family of open models, anyone can download, customize, fine-tune, or build new applications on top of them, allowing AI innovation. The Llama model family now ranges from 1B model parameters to its 405B foundation model, allowing for diverse use cases and applications.

In this course, you’ll learn about the new vision capabilities that Llama 3.2 brings to the Llama family. You’ll learn how to leverage this along with tool-calling, and Llama Stack, which is an open-source orchestration layer for building on top of the Llama family of models.

In detail, you’ll: 

1. Learn about the new models, how they were trained, their features, and how they fit into the Llama family.

2. Understand how to do multimodal prompting with Llama and work on advanced image reasoning use cases such as understanding errors on a car dashboard, adding up the total of three restaurant receipts, grading written math homework, and many more.

3. Learn different roles—system, user, assistant, ipython—in the Llama 3.1 and 3.2 family and the prompt format that identifies those roles.

4. Understand how Llama uses the tiktoken tokenizer, and how it has expanded to a 128k vocabulary size that improves encoding efficiency and enables support for seven non-English languages.

5. Learn how to prompt Llama to call both built-in and custom tools with examples for web search and solving math equations.

6. Learn about ‘Llama Stack API’, which is a standardized interface for canonical toolchain components like fine-tuning or synthetic data generation to customize Llama models and build agentic applications.

Start building exciting applications on Llama!","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""6539232""]","[""Amit Sangani""]",BEGINNER,Introducing Multimodal Llama 3.2,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d8/6a5782475148a69fe5ea690ea0867f/V5_DeepLearning_Meta_Multimodal_Llama_Banner_1000x1000.png,"[""en""]",[],introducing-multimodal-llama-3-2,[],1 hour,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",Yv0LMhL1EeuABgpVBjPnkw,v2.ondemand,"In this course, you will:

a) Explore image classification, image segmentation, object localization, and object detection. Apply transfer learning to object localization and detection.
b) Apply object detection models such as regional-CNN and ResNet-50, customize existing models, and build your own models to detect, localize, and label your own rubber duck images.
c) Implement image segmentation using variations of the fully convolutional network (FCN) including U-Net and d) Mask-RCNN to identify and detect numbers, pets, zombies, and more.
d) Identify which parts of an image are being used by your model to make its predictions using class activation maps and saliency maps and apply these ML interpretation methods to inspect and improve the design of a famous network, AlexNet.


The DeepLearning.AI TensorFlow: Advanced Techniques Specialization introduces the features of TensorFlow that provide learners with more control over their model architecture and tools that help them create and train advanced ML models.  

This Specialization is for early and mid-career software and machine learning engineers with a foundational understanding of TensorFlow who are looking to expand their knowledge and skill set by learning advanced TensorFlow features to build powerful models.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""10261328"", ""170597538""]","[""Laurence Moroney"", ""Eddy Shyu""]",INTERMEDIATE,Advanced Computer Vision with TensorFlow,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a5/6bc3105dbb45848e0f9f3297fa0cc0/Course-Logo-3.png,"[""en""]","[""xrRvgRMqEeuaDgq2QnVodw""]",advanced-computer-vision-with-tensorflow,[],"At the rate of 5 hours a week, it typically takes 4 weeks to complete this course.",KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",JCYSmdLAEeqVmg6oyn4Mjw,v2.ondemand,"In this course, you will:
- Assess the challenges of evaluating GANs and compare different generative models
- Use the Fréchet Inception Distance (FID) method to evaluate the fidelity and diversity of GANs
- Identify sources of bias and the ways to detect it in GANs
- Learn and implement the techniques associated with the state-of-the-art StyleGANs

The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more.

Build a comprehensive knowledge base and gain hands-on experience in GANs. Train your own model using PyTorch, use it to create images, and evaluate a variety of advanced GANs. 

This Specialization provides an accessible pathway for all levels of learners looking to break into the GANs space or apply GANs to their own projects, even without prior familiarity with advanced math and machine learning research.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""33034026"", ""64668721"", ""65115349""]","[""Sharon Zhou"", ""Eda Zhou"", ""Eric Zelikman""]",INTERMEDIATE,Build Better Generative Adversarial Networks (GANs),"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/31/33c5faf9e749b4916d519e63b087ec/Course-Logo-2.png,"[""en""]","[""I7xTyNLAEeqdUQo9B2YGiw""]",build-better-generative-adversarial-networks-gans,[],"At the rate of 5 hours a week, it typically takes 3 weeks to complete this course.",KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",HItDKCVREeyhIw40lAhdTw,v2.ondemand,"In this course, you will be introduced to the basics of artificial intelligence and machine learning and how they are applied in real-world scenarios in the AI for Good space. You will also be introduced to a framework for problem solving where AI is part of the solution. The course concludes with a case study featuring three Jupyter notebook labs where you’ll create an air quality monitoring application for the city of Bogotá, Colombia.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""118857580""]","[""Robert Monarch""]",BEGINNER,AI and Public Health,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ac/37f8bebf4842c48575d710a7382694/PH-SqThumbs-AI4G.png,"[""en""]","[""WM-wjDK4EeyT8xKdcQQUGQ""]",ai-and-public-health,[],,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert""]",dpd_vjNrEeyeYA42DXbPkQ,v2.ondemand,"딥 러닝 전문화의 첫 번째 과정에서는 신경망과 딥 러닝의 기본 개념을 학습합니다. 

마지막에는 완전히 연결된 심층 신경망의 구축, 훈련 및 적용, 효율적인(벡터화된) 신경망 구현, 신경망 아키텍처의 주요 파라미터 식별, 딥 러닝을 자체 애플리케이션에 적용 등 딥 러닝의 부상을 주도하는 중요한 기술 동향에 익숙해질 것입니다.

딥 러닝 전문화는 딥 러닝의 기능, 과제 및 결과를 이해하고 첨단 AI 기술 개발에 참여할 수 있도록 준비하는 데 도움이 되는 기본 프로그램입니다. 머신 러닝을 업무에 적용하고, 기술 경력의 수준을 높이고, AI 세계에서 결정적인 단계를 밟을 수 있는 지식과 기술을 얻을 수 있는 경로를 제공합니다.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""20612763""]","[""Younes Bensouda Mourri""]",INTERMEDIATE,신경망 및 딥 러닝,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c1/16a2fa16b943038f07cd0e4064a25e/Course-logo-1.png,"[""ko""]",[],neural-networks-deep-learning-ko,[],주당 5시간의 비율로 전문화 과정의 각 과정을 마치는 데 약 5주가 소요됩니다.,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert""]",8USPWyOaEeuVrhKFjkWrKw,v2.ondemand,"Этот курс научит вас строить сверточные нейронные сети и использовать их для обработки изображений. Благодаря глубокому обучению машинное зрение сегодня работает намного лучше, чем всего лишь два года назад, и это позволяет использовать его в самых разных отраслях, начиная от безопасного автономного вождения и точного распознавания лиц и заканчивая автоматической интерпретацией рентгеновских снимков. 

В рамках курса вы:

— научитесь строить сверточные нейронные сети, включая их самые современные виды, такие как остаточные сети;
— узнаете, как применять сверточные сети в задачах визуального обнаружения объектов и распознавания изображений;
— узнаете, как использовать нейронную передачу стиля для создания изображений;
— научитесь применять алгоритмы к изображениям, видео и другим 2D- и 3D-данным.

Это четвертый курс специализации «Глубокое обучение».","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""1244"", ""24382163"", ""20612763""]","[""Andrew Ng"", ""Kian Katanforoosh"", ""Younes Bensouda Mourri""]",INTERMEDIATE,Сверточные нейронные сети,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2a/5d4810104e11e8a405e7a3b3b97580/CarouselAds_DL_Convolutional.png,"[""ru""]",[],convolutional-neural-networks-ru,[],4 недели обучения по 4–5 часов в день,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert""]",qy1NsyUmEeuF6RLLcL5oKQ,v2.ondemand,"ستتعلم في هذا المساق كيفية إنشاء نماذج للغة الطبيعية والصوت وغيرها من البيانات المتعاقبة. بفضل التعلم العميق، تعمل خوارزميات التسلسل والتعاقب بشكل أفضل بكثير مما كانت عليه قبل عامين فقط مما يتيح العديد من التطبيقات المثيرة في التعرف على الكلام والتركيبات الموسيقية وروبوتات الدردشة والترجمة الآلية وفهم اللغة الطبيعية وغيرها من التطبيقات الأخرى. 

سوف تتعلم كيفية:
- فهم كيفية بناء وتدريب الشبكات العصبونية المتكررة (RNN) والمتغيرات الشائعة الاستخدام مثل GRUs والذاكرة طويلة المدى.
- تطبيق نماذج التسلسل على المشاكل الطبيعية للغة بما في ذلك تركيب النص. 
- تطبيق نماذج التسلسل على التطبيقات الصوتية، بما في ذلك التعرف على الكلام والتركيبات الموسيقية.

هذا هو المساق الخامس والأخير من تخصص التعلم العميق.

تشاركdeeplearning.ai أيضًا مع مؤسسة نيفيديا للتعلم العميق في المساق الخامس، نماذج التسلسل، لتوفير مهمة برمجة على الترجمة الآلية مع التعلم العميق. سوف تتاح لك فرصة إنشاء مشروع تعلم عميق بمحتوى متطور وذو صلة بالعملية الصناعية.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""1244"", ""24382163"", ""20612763""]","[""Andrew Ng"", ""Kian Katanforoosh"", ""Younes Bensouda Mourri""]",INTERMEDIATE,النماذج المتعاقبة,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/38/1d2dd0104e11e8a9fde55ba46c309d/CarouselAds_DL_Sequence.png,"[""ar""]",[],nlp-sequence-models-ar,[],,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert""]",x9rpFTWPEeug0BLTxaHIsQ,v2.ondemand,"Данный курс научит вас строить модели естественных языков, звуков и других последовательных данных. Благодаря глубокому обучению последовательные алгоритмы сегодня работают в разы лучше, чем ещё два года назад. Это открывает широчайший спектр возможностей применения алгоритмов в распознавании речи, синтезе музыки, чат-ботах, машинном переводе, понимании естественных языков и во многом другом.

 Вы научитесь:
— строить и обучать рекуррентные нейронные сети (РНС, RNN), а также широко используемые управляемые рекуррентные блоки (УРБ, GRU) и долгую краткосрочную память (ДКП, LSTM);
— применять последовательные модели в задачах по обработке естественного языка, включая синтез текста;
— применять модели последовательностей к звуковой информации, например для распознавания речи или синтеза музыки.

Это пятый и заключительный курс специализации «Глубокое обучение».

 Задача по программированию машинного перевода с глубоким обучением, содержащаяся в этом курсе, разработана deeplearning.ai совместно с партнером — Институтом глубокого обучения NVIDIA (DLI). У вас будет возможность создать проект по глубокому обучению с современным, актуальным для индустрии содержанием.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""1244"", ""24382163"", ""20612763""]","[""Andrew Ng"", ""Kian Katanforoosh"", ""Younes Bensouda Mourri""]",INTERMEDIATE,Последовательные модели,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/38/1d2dd0104e11e8a9fde55ba46c309d/CarouselAds_DL_Sequence.png,"[""ru""]",[],nlp-sequence-models-ru,[],,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],[],RV0lmw1YEe-SXg6EFTZuww,v2.ondemand,"In Quantization in Depth you will build model quantization methods to shrink model weights to ¼ their original size, and apply methods to maintain the compressed model’s performance. Your ability to quantize your models can make them more accessible, and also faster at inference time. 

Implement and customize linear quantization from scratch so that you can study the tradeoff between space and performance, and then build a general-purpose quantizer in PyTorch that can quantize any open source model. You’ll implement  techniques to compress model weights from 32 bits to 8 bits and even 2 bits.

Join this course to:

1. Build and customize linear quantization functions, choosing between two “modes”: asymmetric and symmetric; and three granularities: per-tensor, per-channel, and per-group quantization.

2. Measure the quantization error of each of these options as you balance the performance and space tradeoffs for each option.

3. Build your own quantizer in PyTorch, to quantize any open source model’s dense layers from 32 bits to 8 bits.

4. Go beyond 8 bits, and pack four 2-bit weights into one 8-bit integer.

Quantization in Depth lets you build and customize your own linear quantizer from scratch, going beyond standard open source libraries such as PyTorch and Quanto, which are covered in the short course Quantization Fundamentals, also by Hugging Face.

This course gives you the foundation to study more advanced quantization methods, some of which are recommended at the end of the course.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""132283682"", ""152910793""]","[""Younes Belkada"", ""Marc Sun ""]",INTERMEDIATE,Quantization in Depth,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/22/20b0b0fdbb441ea54633522e29758b/DeepLearning_Hugging_Face_QF_C2_Banner_1000x1000.png,"[""en""]",[],quantization-in-depth,[],1 hour,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert""]",A19D9iObEeuzhhKVpJt8Dw,v2.ondemand,سيُعلمك هذا المساق طريقة إعداد الشبكات العصبونية الالتفافية وتطبيقها على بيانات الصورة. وبفضل التعلم المتعمق، تعمل الرؤية الحاسوبية على نحوٍ أفضل كثيرًا مما كانت عليه في العامين السابقين وأتاح هذا الكثير من التطبيقات الحالية التي تمتد بدءًا من التحكم الذاتي الآمن حتى التعرف على الوجه بصورةٍ دقيقة وحتى القراءة الأوتوماتيكية للصور الإشعاعية. ستُصبح مُلِم بطريقة إعداد شبكة عصبونية التفافية، بما في ذلك التغييرات التي طرأت في الآونة الأخيرة من قبيل الشبكات المتبقية. وستتعرف على طريقة تطبيق الشبكات الالتفافية على وظائف الكشف والتعرف المرئيين. وستتعرف على طريقة استعمال خاصية نقل النمط العصبي لإنتاج الأعمال الفنية. وسيُصبح بوسعك تطبيق هذه الخوارزميات على مجموعة مختلفة من الصور ومقاطع الفيديو وغيرها من المعطيات ثنائية الأبعاد وثلاثية الأبعاد. ويُمثل هذا المساق الرابع من نوعه في تخصص التعلم المتعمق.,"[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""1244"", ""24382163"", ""20612763""]","[""Andrew Ng"", ""Kian Katanforoosh"", ""Younes Bensouda Mourri""]",INTERMEDIATE,الشبكات العصبونية الالتفافية,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2a/5d4810104e11e8a405e7a3b3b97580/CarouselAds_DL_Convolutional.png,"[""ar""]",[],convolutional-neural-networks-ar,[],"4 weeks of study, 4-5 hours/week",KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",_ZpZKyTxEemb-BL8g3X_rg,v2.ondemand,"In Course 1 of the Natural Language Processing Specialization, you will:   

a) Perform sentiment analysis of tweets using logistic regression and then naïve Bayes, 
b) Use vector space models to discover relationships between words and use PCA to reduce the dimensionality of the vector space and visualize those relationships, and
c) Write a simple English to French translation algorithm using pre-computed word embeddings and locality-sensitive hashing to relate words via approximate k-nearest neighbor search.  
    
  
By the end of this Specialization, you will have designed NLP applications that perform question-answering and sentiment analysis, created tools to translate languages and summarize text.
   
This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""28009072"", ""1843326"", ""170597538""]","[""Younes Bensouda Mourri"", ""Łukasz Kaiser"", ""Eddy Shyu""]",INTERMEDIATE,Natural Language Processing with Classification and Vector Spaces,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e5/11a4e05a3a47be8321a947b8ebccc3/Course-Logo-1.png,"[""en""]","[""_U5cASTxEemuhAoKFebZeA""]",classification-vector-spaces-in-nlp,[],"At the rate of 5 hours a week, it typically takes 4 weeks to complete one Course. ",KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],[],sZDLxypjEe-3ZQ5wzJTT0Q,v2.ondemand,"In Building Your Own Database Agent you will develop an AI agent that interacts with databases using natural language, simplifying the process for querying and extracting insights. Created in partnership with Microsoft and taught by Adrian Gonzalez Sanchez, Data and AI Specialist at Microsoft, this course is designed for developers, data professionals, as well as business analysts and professionals who want more sophisticated interaction with their databases through natural language instead of advanced SQL queries.

What you’ll do in this course:

1. Learn about the levels of knowledge customization with Azure OpenAI Service, focusing on RAG to build your first AI agent, deploy your Azure OpenAI Service instance, test the API, and set up an orchestration engine like LangChain to enable these scenarios.

2. Load tabular data from a CSV file and perform natural language queries using the Azure OpenAI service to extract information quickly. Learn to reapply the agent to analyze your own CSV files.

3. Implement LangChain agents to connect to a provided SQL database, and how to build a DB agent that translates natural language to SQL code.

4. Use Azure OpenAI Service’s function calling feature to use pre-built functions for sending queries to databases, improving the efficiency and security of your SQL agent.

5. Work with the Assistants API and test it with the function calling and code interpreter features, which will enable you to connect to SQL databases and create your own DB agents more efficiently.

By the end of the course, you’ll be equipped with the technical knowledge and practical experience to implement similar systems in your own projects or organizations, enabling more efficient and accessible data interaction and analysis.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""96413576""]","[""Adrian Gonzalez Sanchez""]",BEGINNER,Building Your Own Database Agent,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/46/a72fd9399c4092adb1b05f1e7af1a0/DeepLearning_Azure-OpenAI_Banner_1000x1000.png,"[""en""]",[],building-your-own-database-agent,[],1 hour,KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",_s8aykayEeq4UgoL7YbhrQ,v2.ondemand,"In this course, you will:
- Learn about GANs and their applications
- Understand the intuition behind the fundamental components of GANs
- Explore and implement multiple GAN architectures
- Build conditional GANs capable of generating examples from determined categories

The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more.

Build a comprehensive knowledge base and gain hands-on experience in GANs. Train your own model using PyTorch, use it to create images, and evaluate a variety of advanced GANs. 

This Specialization provides an accessible pathway for all levels of learners looking to break into the GANs space or apply GANs to their own projects, even without prior familiarity with advanced math and machine learning research.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""33034026"", ""64668721"", ""65115349""]","[""Sharon Zhou"", ""Eda Zhou"", ""Eric Zelikman""]",INTERMEDIATE,Build Basic Generative Adversarial Networks (GANs),"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/32/c26b78d95942a9af4eca0e04816444/Course-Logo-1.png,"[""en""]","[""I7xTyNLAEeqdUQo9B2YGiw""]",build-basic-generative-adversarial-networks-gans,[],"At the rate of 5 hours a week, it typically takes 4 weeks to complete this course.",KT3OyZM5ayYqEAUcs,ZpBpGVMmlac6phOZY
[],"[""VerifiedCert"", ""Specialization""]",_ZxqNTbOEembfg4BAtxdIA,v2.ondemand,"En este curso, a través de una combinación de conferencias de video, demostraciones y prácticas, aprenderás acerca de los componentes principales de un sistema operativo y cómo realizar tareas críticas tales como administrar software y usuarios, y configurar hardware. Vamos a terminar con un ejemplo de cómo puede aparecer este contenido en una entrevista.

Al final de este curso, podrás:
● navegar por los sistemas de archivos de Windows y Linux utilizando una interfaz gráfica de usuario y un intérprete de línea de comandos.
● configurar usuarios, grupos y permisos para el acceso a la cuenta.
● instalar, configurar y eliminar software en los sistemas operativos Windows y Linux.
● configurar particiones de disco y sistemas de archivos.
● comprender cómo funcionan los procesos del sistema y cómo gestionarlos.
● trabajar con registros del sistema y herramientas de conexión remota.
● utilizar el conocimiento del sistema operativo para solucionar problemas comunes en un rol de Especialista de soporte de TI.","[{""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,Sistemas operativos y tú: Convertirse en un usuario avanzado,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e1/0e0c80f1ad11e7b6d1f97cbfd7d592/Course-Logo-3.jpg,"[""es""]","[""i6gHu610Ee2l2hKRLdW81Q"", ""uvWXX6NMEem8VwqbwgpIcA""]",sistemas-operativos,[],8 - 10 horas por semana,SnkXyw1dzHnjlyv52,Te1KcYxjancmurZMg
[],"[""VerifiedCert"", ""Specialization""]",60eALRzmEeyj2Qq8cOKkHw,v2.ondemand,"في دورة كابستون أو الدورة النهائية الأخيرة هذه لشهادة إدارة المشروعات من Google، ستتدرب على تطبيق معرفة ومهارات إدارة المشروعات التي تعلمتها حتى الآن. نشجع المتعلمين على إكمال الدورات 1-5 قبل بدء الدورة النهائية، حيث أنها توفر الأساس اللازم لإكمال الأنشطة في هذه الدورة. 

أثناء تقدمك في هذه الدورة التدريبية، سوف ""تراقب"" مدير المشروعات في سيناريو العالم الحقيقي وستكمل العشرات من الأنشطة العملية. وسوف تقوم بما يلي:
- تحليل وثائق المشروع لتحديد متطلبات المشروع وتقييم الأطراف المعنية 
- إكمال ميثاق المشروع واستخدمه كأداة لمواءمة نطاق المشروع وأهدافه بين الأطراف المعنية
- تحديد المهام والمعالم الرئيسية وتوثيقها وتحديد أولوياتها في خطة المشروع
- تحديد معايير إدارة الجودة واستكشاف كيفية مشاركة البيانات النوعية بشكل فعال
- إظهار تأثير مشروعك من خلال التقارير الفعالة 

بنهاية هذه الدورة التدريبية، ستكون قد اكتسبت مجموعة من أدوات إدارة المشروع والتي ستوضح المهارات التي تعلمتها خلال البرنامج بأكمله، مثل قدرتك على إدارة الأطراف المعنية والفرق وتنظيم الخطط وتوصيل تفاصيل المشروع. يمكن أن تظهر هذه الأدوات استعدادك الوظيفي عند التقدم بطلب للحصول على وظائف في هذا المجال. لمزيد من الإعداد للمقابلة لوظائف إدارة المشروعات، سوف تفكر في المشروعات السابقة، وإعداد ""عرض ترويجي قصير""، وتتوقع أسئلة المقابلة الشائعة. سيستمر مديرو مشروعات Google الحاليون في إرشادك وتزويدك بالاستراتيجيات والأدوات والموارد لتحقيق أهدافك.

بعد الانتهاء من هذا البرنامج، يجب أن تكون مجهزا للتقدم بطلب للحصول على وظائف على المستوى التمهيدي كمدير مشروعات. ستتاح لك أيضًا الفرصة للمطالبة بشهادة الإنجاز التي ستكون معروفة لدى أصحاب العمل.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,كابستون: تطبيق إدارة المشروعات في العالم الحقيقي,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/83/b9c5fe4738404b9f8e841478e6718c/certs_squareresize1.png,"[""ar""]","[""298DVzhEEeyqUA7_yMmHRQ"", ""PEQWrq10Ee2GUxIq91Bh6w""]",applying-project-management-in-the-real-world-arabic,[],,SnkXyw1dzHnjlyv52,Te1KcYxjancmurZMg
[],"[""VerifiedCert"", ""Specialization""]",7qLSQSrDEey4dA6DVmO2QQ,v2.ondemand,"هذه هي الدورة التدريبية السادسة في شهادة تحليلات البيانات من Google. ستزودك هذه الدورات بالمهارات اللازمة للتقدم لوظائف محلل البيانات على المستوى التمهيدي. سوف تتعلم كيفية تصور وتقديم نتائج البيانات الخاصة بك عندما تكمل عملية تحليل البيانات. ستوضح لك هذه الدورة التدريبية كيف يمكن أن تساعد تصورات البيانات، مثل لوحات المعلومات المرئية، في إحياء بياناتك. ستستكشف أيضًا Tableau، وهو منصة لتصور البيانات سيساعدك على إنشاء تصورات فعالة لعروضك التقديمية. سيستمر محللو بيانات Google الحاليون بإرشادك وتزويدك بالطرق العملية لإنجاز مهام محلل البيانات الشائعة باستخدام أفضل الأدوات والموارد.

سيتم تجهيز المتعلمين الذين يكملون برنامج الشهادة هذا للتقدم لوظائف المستوى التمهيدي كمحللين بيانات. لا تلزم خبرة سابقة.

بنهاية هذه الدورة، ستكون قادرًا على:
 - فحص أهمية تصور البيانات.
 - تعلم كيفية تكوين سرد مقنع من خلال قصص البيانات.
 - اكتساب فهم لكيفية استخدام Tableau لإنشاء لوحات معلومات وعوامل تصفية للوحة المعلومات.
 - اكتشف كيفية استخدام Tableau لإنشاء تصورات فعالة. 
 - اكتشف المبادئ والممارسات المتضمنة في العروض التقديمية الفعالة.
 - تعرف على كيفية مراعاة القيود المحتملة المرتبطة بالبيانات في عروضك التقديمية.
 - فهم كيفية تطبيق أفضل الممارسات على الأسئلة والأجوبة مع جمهورك.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,مشاركة البيانات من خلال فن مؤثرات عرض التصور,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0e/25a7fd78f14f00aea8f59c69369f7a/DA6-Share-Data-Through-the-Art-of-Visualization.png,"[""ar""]","[""ZfKRrzhEEeylXgqHwJpmyQ"", ""loU1e61zEe2CaA51QM4Lfw""]",share-data-through-the-art-of-visualization-arabic,[],,SnkXyw1dzHnjlyv52,Te1KcYxjancmurZMg
[],"[""VerifiedCert"", ""Specialization""]",sivDp5AYEeyYbAqQh-YaNw,v2.ondemand,"Google データアナリティクス プロフェッショナル認定プログラムの 3 つめのコースです。このコースでは、1～2 つめのコースで学んだトピックの理解を深めながら、表計算ソフトや SQL などのツールを使って目的に合ったデータを抽出し活用する方法、データの整理と保護の方法など、より実践的なデータアナリティクススキルを身につけるための新しいトピックについても学びます。
また、現職の Google データ アナリストが、最適なツールやリソースを使って、一般的なアナリスト業務を遂行する実践的な方法を指導します。

この認定プログラムを修了すると、エントリーレベルのデータ アナリスト職に応募できるようになります。過去の業務経験は不要です。

このコース修了後の目標は以下の通りです。
- データアナリストが、分析のために収集するデータをどのように決定するかを知る。
 - 構造化データや非構造化データ、データ型、データ形式について学ぶ。
- データの信頼性を確保するために、データの中にあるさまざまな種類のバイアスを識別する方法を知る。
- データベースやデータセットに対して、データアナリストがどのように表計算ソフトや SQL を使用するかを学ぶ。
 - オープンデータや、データ倫理とデータプライバシーの関連性および重要性を理解する。
 - データベースにアクセスし、データを抽出、フィルタリング、並べ替えする方法について理解する。
 - データを整理し、安全に管理するためのベストプラクティスを学ぶ。","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,3. 探索用データを準備する,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/df/ada737bdc64f178481aafbb9fc39f3/DA3-Prepare-Data-for-Exploration.png,"[""ja""]","[""Sek-Gq1zEe2O-BL57hX6Tw"", ""aJbRXK7pEey8UArux7BqFw""]",data-preparation-japanese,[],,SnkXyw1dzHnjlyv52,Te1KcYxjancmurZMg
[],"[""VerifiedCert"", ""Specialization""]",Frztfto3Ee2hNRJwYmvh7w,v2.ondemand,"Voici le premier cours de la Certification en cybersécurité de Google. Ces cours vous permettront d'acquérir les compétences dont vous avez besoin pour postuler à un emploi de niveau débutant dans le domaine de la cybersécurité. 

Dans ce cours, vous serez initié au monde de la cybersécurité grâce à un programme interactif élaboré par Google. Les événements majeurs qui ont conduit à l'expansion du domaine de la cybersécurité, le rôle essentiel que revêt la cybersécurité dans la gestion d'une entreprise aujourd'hui et les responsabilités professionnelles qui incombent à un analyste cybersécurité débutant, ainsi que les compétences requises, seront mis en avant. 

Les employés de Google qui travaillent actuellement dans le domaine de la cybersécurité vous guideront à travers des vidéos, des activités pratiques et des exemples qui simulent des tâches courantes de cybersécurité, et vous aideront à développer vos compétences pour vous préparer à l'emploi. 

Les participants qui termineront cette certification seront aptes à postuler à des emplois de niveau débutant dans le domaine de la cybersécurité. Aucune expérience préalable n'est nécessaire.","[{""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}, {""subdomainId"": ""security"", ""domainId"": ""information-technology""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,Fondamentaux de la cybersécurité,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f8/d2bb2e728e4622af311ff38339693d/1_CYBER_FOUNDATION.png,"[""fr""]","[""Dp5xwWlMT6ejepnt_VSgrg""]",fondamentaux-de-la-cybersecurite,[],,SnkXyw1dzHnjlyv52,Te1KcYxjancmurZMg
[],"[""VerifiedCert"", ""Specialization""]",rdr8M52zEe2a0hItqNBhjQ,v2.ondemand,"Pense fora da caixa (de entrada): e-mail marketing é o quarto dos sete cursos do Certificado de Marketing Digital e E-commerce do Google. Este curso abordará como realizar uma campanha de e-mail marketing bem-sucedida. O e-mail marketing é um dos canais de marketing digital mais antigos e comprovados, e é um componente essencial de qualquer estratégia geral de marketing digital. O e-mail é um canal principal para muitas empresas alcançarem seus clientes atuais, incentivarem a interação com a empresa, impulsionarem compras e fidelizarem clientes. Neste curso, você descobrirá o e-mail marketing e verá tópicos como: criar uma estratégia de e-mail marketing, realizar campanhas de e-mail e medir os resultados dessas campanhas. Você também aprenderá a usar listas de e-mail e a empregar automação e fluxos de trabalho.
 
Os colaboradores do Google que trabalham atualmente na área serão seus guias, fornecendo atividades práticas e exemplos que simulam tarefas comuns de marketing digital e e-commerce, mostrando algumas das melhores ferramentas e recursos usados no trabalho.

Os alunos que concluírem os sete cursos deste programa terão os recursos de que precisam para se candidatar a vagas de trabalho de marketing digital e e-commerce para iniciantes. Nenhuma experiência anterior é necessária.

Ao final deste curso, você será capaz de: 
– Escrever prévias de texto eficazes e linhas de assunto com base nas práticas recomendadas
– Criar automação de e-mail marketing e fluxos de trabalho
– Criar e manter listas de e-mail
– Escrever um copy de e-mail eficaz
– Gerenciar contatos e segmentar listas
– Usar as práticas recomendadas para lidar com informações que permitem identificação pessoal, ou PII, e dados do usuário com segurança
– Medir e analisar os resultados da campanha de e-mail","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,Pense fora da caixa (de entrada): e-mail marketing,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/aa/a8f062634547039292672049853487/4_Alex.png,"[""pt-BR""]","[""CORY5520Ee2w0Q4r9Y7GFQ"", ""ymOwuAVyRX6PU0UOgdRY-A""]",pense-fora-da-caixa-de-entrada-e-mail-marketing,[],,SnkXyw1dzHnjlyv52,Te1KcYxjancmurZMg
[],"[""VerifiedCert"", ""Specialization""]",WtjkkTgyEfGQOAr_8Q2sfw,v2.ondemand,"The right questions make AI a valuable tool for decision-making. ""Rethink How You Decide with AI"" teaches you how to use AI as a thought partner, allowing you to make more intentional, informed decisions. 

Through guided activities, reflection, and hands-on AI exploration, you'll examine the habits, assumptions, and patterns that shape your choices. You'll identify the constraints and tradeoffs behind real decisions, compare different approaches to setting priorities, and practice using AI to generate perspectives, challenge assumptions, and uncover blind spots.

Your goal isn’t finding the ""perfect answer,"" it’s developing a flexible decision-making process that evolves with you. Along the way, you'll learn how to use generative AI to stress-test ideas, evaluate alternatives, and strengthen your reasoning while maintaining ownership of your decisions.

By the end of this course, you’ll have a personalized system that supports your decision-making, allowing you to move forward with your ideas with great clarity, confidence, and intention.

This is the third course in the ""Applied AI: Data Analysis, Workflows, and Decisions"" series, a three-course series on practical ways to integrate AI into your personal and professional routines.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""127715398""]","[""Tina Lasisi""]",BEGINNER,Rethink How You Decide with AI,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/80/2a460903aa49649f8a95161c798257/everydaystrategyai_thumbnail.png,"[""en""]","[""nxRSEmqIQc6sFxWAiTn6WQ""]",rethink-how-you-decide-with-ai,[],3 hours of study,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",aX4tZnrsEey1tgpUmO8AYQ,v2.ondemand,"Health research must positively impact the lives of the general population, so the public must receive and interpret research findings in a meaningful way. That is why translating research discoveries into practice is an important phase of the translational research spectrum.

In this course, you’ll gain an introduction to the concepts of population health research and the ethical use of data science to drive advances in human health. Specifically, you’ll learn about the computational models used in population health research, the function of community partners in conducting translational research and disseminating findings, as well as the role of population health during health crises like the COVID-19 pandemic, Opioid crisis, and the Flint, Michigan, USA water crisis.

This is the fourth of five courses in the “Translational Science” series.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}]","[""86824516""]","[""Vicki Ellingrod""]",BEGINNER,Translating Research to Communities ,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a6/3086fd890143618046d4483130f2d4/transscience_T3.png,"[""en""]","[""EfzN-Lo3EeubnQotyaQWcQ""]",translating-research-to-communities,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",AWm8bdGwEe6EexKZmslsWw,v2.ondemand,"Leveraging Generative AI for Social Impact Organizations focuses on the issue of resource scarcity commonly faced by social impact organizations and how generative AI tools can help free up limited staff capacity from routine administrative tasks. Social impact organizations often find themselves overwhelmed by repeatedly responding to common inquiries, data management and documentation needs, and other basic functions that limit their ability to fully devote time to core programming and service delivery. In this course, you’ll learn concrete examples of how AI could improve efficiency in areas like automatically answering frequently asked questions, converting information requests into readable reports, or drafting, designing, and distributing communications materials. Gain insight into key opportunities to leverage AI to expand your organization’s bandwidth for mission-critical activities. The course also explores the limitations and ethical considerations of relying on generative AI versus human judgment and nuanced interactions in social programming.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""6105984"", ""2878590""]","[""Barbara Hiltz"", ""Brian E. Perron""]",BEGINNER,Leveraging Generative AI for Social Impact Organizations,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/12/7aab72c74d4ff4a7e29a553e646178/CourseIMG_01.png,"[""en""]",[],leveraging-generative-ai-for-social-impact-organizations,[],4.5 hours,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",hYPjBo57EfCz9Q76dM5E5Q,v2.ondemand,"Climate action isn’t just about cutting emissions; it is about reimagining how our societies thrive. Innovative Climate Solutions challenges us to look beyond standard sustainability practices and dive into meaningful climate action.

This course examines key solutions from technological, social, institutional, and grassroots perspectives. Additionally, you’ll take a justice-oriented approach, exploring not just what works technically for communities, but what works equitably. 

Ultimately, you will shift from a passive observer to an active analyst of change, learning to recognize how individual choices, grassroots movements, and institutional shifts combine to spark climate action. You will leave with an understanding of the crisis and be equipped to champion the innovative solutions that drive genuine, lasting impact. 

This is the third course in the Climate Solutions series, a three-course series on addressing climate change with innovative, community-centered strategies that protect biodiversity for the benefit of all.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""111418036""]","[""Rajiv Ghimire""]",BEGINNER,Innovative Climate Solutions,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8b/54f66786d549e7924769a68755d1ef/climatesolutions_20260407_C.png,"[""en""]","[""MJrc5wXfRiuCTM27sCzKvQ""]",innovative-climate-solutions,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",yIxVgGsUEeufExI7Hdi1lQ,v2.ondemand,"The second course of the Addressing Racial Health Inequity in Healthcare specialization you will journey through a survey of critical drivers of racial inequities in healthcare. These critical drivers need to be known in order to implement  interventions that can achieve health equity. 

You will explore issues that arise around the financing of healthcare in the U.S, and how this system enables race-based disparities. You will then explore the multiple dimensions of access to care, and how various dimensions perpetuate racial inequities in care. You will also discuss the historical backdrop of mistreatment in healthcare settings that remains pervasive among racial groups. And finally, you will unpack implicit bias and how these biases influence diagnosis and treatment patterns among different racial groups.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}]","[""76964687""]","[""Minal R. Patel""]",INTERMEDIATE,Causes of Racial Inequity in Healthcare,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/71/c4c7e914a14b6088c58c4cf001b262/course2.png,"[""en""]","[""Vw5fYPkzEeuZyhIkPYPGow""]",causes-of-racial-inequity-in-healthcare,[],"5 weeks of study, 3-4 hours/week",Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",uIE_UGFBEe2SvBK6JFNO6w,v2.ondemand,"Object-oriented programming (or OOP) is a model that allows you to organize data by classes and objects using attributes. It’s also one of the most popular types of programming, making it an essential skill to help you better communicate with programmers in your organization.

In this four-week course from the University of Michigan, you will expand your knowledge of OOP and learn how to write programs with objects from classes and how to write your own classes. You’ll also gain confidence as you learn to understand and modify larger object-oriented programs.

This course has a highly stimulating and creative approach to OOP. This includes activities like creating an image collage as well as a model of a real-world object, such as a Magic 8-Ball.

Through these activities, you’ll put your programming knowledge into practice using fun and innovative methods.

This course will allow you to communicate and work alongside other learners along the journey.
With this support, you’ll be able to use knowledge-sharing and teamwork to broaden your understanding and explore the possibilities of OOP together.

This course is designed for learners interested in extending their knowledge of Python.

It will also be helpful to those wishing to learn a textual programming language or for professionals who work and communicate with programmers but don’t use Python.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""62564724""]","[""Barbara Ericson""]",INTERMEDIATE,The Power of Object-Oriented Programming,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f4/bf44d5464049799ce4f8b1402f693f/Python-3_course2-The-Power-of-Object-Oriented-Programming.png,"[""en""]","[""BBbhs3ZGEe29ng4Cs6Ew8Q""]",the-power-of-object-oriented-programming,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",10zAa9I-Ee2_vw4ejszVZQ,v2.ondemand,"Explore unique case studies in engineering ethics. In this four-week course, you’ll examine different historical case studies and understand how they led to classic engineering failures.

Though each case is unique and has a distinct context, they all share common themes; a backstory, a disastrous event, a post-event with ramifications, and outcomes.

For each case, you’ll watch and hear video lectures and explore foundational literature. You’ll also have the opportunity to discuss the case in detail and check your knowledge through quizzes and reflections on your understanding of the case. This format will help you develop a working knowledge of ethical foundations.

Delve into four case studies, including the VW emissions scandal, the failure of the Denver airport baggage system, the fatal case of the Therac 25 radiation machine, and the software failure of the Ariane 5 rocket launch.

With each case, you’ll identify key aspects that led to the engineering failures and discuss the outcomes of the failures.

You’ll also explore the significance of each case and how they led to corrective actions.

Develop your knowledge of engineering alongside experts in the industry. The course will help you reflect on engineering as a design discipline and its impact on humans.

You’ll be guided by Dr. David Chesney, an expert in both industry and academics with 20 years of experience at General Motors Corporation and 20 years working at the University of Michigan. Dr. Chesney’s background is in Mechanical Engineering, Biomedical Engineering, and Computer Science and he is the Toby Teorey Collegiate Lecturer in Electrical Engineering and Computer Science at the University of Michigan College of Engineering.

This course will be particularly useful for engineering students and professionals, although no prior experience is required.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""electrical-engineering""}, {""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""127588518""]","[""David Chesney""]",BEGINNER,Ethics in Engineering,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/40/d1dd59be0b42b69a654a0be5979e44/Ethics-in-Engineering-Course-image.jpeg,"[""en""]",[],ethics-in-engineering,[],13 Hours,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",IoPWqPEFEe6mtgr_8EKkyQ,v2.ondemand,"Unlock the potential of your HR career with “Human Capital: Foundations and Essentials.” Dive into the evolution of HR roles, from traditional titles like Personnel Director to modern designations such as Human Capital Manager and People Operations Leader. This course equips you with the skills to evaluate and implement effective communication and leadership strategies that span the entire people space. Throughout the course, you’ll analyze and reflect on mini-case studies based on real-world scenarios to bridge course content with your own professional experiences. 

Explore the legal and strategic aspects of HR as you transition from conventional methods to contemporary practices that prioritize employee engagement, well-being, and workforce development. With an overview of the Human Capital Management Framework and its implications on beliefs, values, and health and safety, this course ensures you are well-rounded in the fundamental and cutting-edge elements of human capital management. Immerse yourself in this dynamic field and emerge with the expertise to drive meaningful change in your organization.

This is the first course in “Extraordinary Human Capital Management,” a course series for human resource professionals interested in advancing their skills to align with organizational and employee needs.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""14816106""]","[""Cheri Alexander""]",INTERMEDIATE,Human Capital: Foundations and Essentials,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/90/b774f89d51444bae99803d7f94e023/Course-1_Human-Capital_-Foundations-and-Essentials.png,"[""en""]","[""E3tUE6o-SUWhV5P-VMYsUA""]",human-capital-foundations-and-essentials,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",FVFq7YWVEeqzpxI5q0qHcw,v2.ondemand,"In this course, you will learn how Django communicates with a database through model objects. You will explore Object-Relational Mapping (ORM) for database access and how Django models implement this pattern.  We will review the Object-Oriented (OO) pattern in Python.  You will learn basic Structured Query Language (SQL) and database modeling, including one-to-many and many-to-many relationships and how they work in both the SQL and Django models. You will learn how to use the Django console and scripts to work with your application objects interactively.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""122340""]","[""Charles Russell Severance""]",INTERMEDIATE,Building Web Applications in Django,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/66/072211bd484a9d817f299e4ec52474/dj4e_thumbnail_v2_1.jpg,"[""en""]","[""4wcxMIWSEeqbnQqkTNWwfw""]",django-build-web-apps,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",pxTGQPCSEeu8Fwo3Sa_Z7Q,v2.ondemand,"This course, Additive Manufacturing, is the third course in the Coursera Specialization, Digital Technologies and the Future of Manufacturing.

In this course, learners will be introduced to the concept of Additive Manufacturing, learn how it is applied in manufacturing, and what businesses should consider as they decide to implement this technology. Considerations include the economics of the technology, information technology infrastructure, manufacturing ecosystem partners, the business value of implementing Additive Manufacturing, and what needs to happen across the organization to ensure successful implementation.

Learners will hear from industry experts as they share their perspectives on the opportunities and challenges of implementing Additive Manufacturing, how Additive Manufacturing is being implemented in their companies, and insights on the future of this technology within their industry and across manufacturing.

The content presented in this course draws on a number of real-life interviews and case studies, and was created through a partnership with Siemens.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""259615""]","[""M.S. Krishnan""]",BEGINNER,Additive Manufacturing,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/10/5389ecf8be4bd6a4e1d885df6b1d9b/Course3_Additive-Manufacturing.jpg,"[""en""]","[""g8tuS_CWEeurIAqUpXXSGw""]",additive-manufacturing-3d-printing,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",CFyXEJKoEe2T_w6-DJteRQ,v2.ondemand,"In Theories and Frameworks, you’ll take a close look at learners and learning contexts. As you define your target audience, you’ll learn how to use learner personas as a communication tool with stakeholders and how these can be used to influence learning goals, assessments, and activities. 

Explore theories of learning and motivation that inform design. You’ll be introduced to learning taxonomies for defining learning outcomes, such as Bloom’s taxonomy and Fink’s Taxonomy of Significant Learning. You’ll take a closer look at design frameworks, such as Backward Design, Integrated Course Design, and the ADDIE model.  

Next, you’ll see examples of conceptual tools that can be used to support ideation, brainstorming, and course outlining. This course will include an immersive activity in which you’ll join learning experience design colleagues to develop, refine, and present project plans to stakeholders. By taking this course, you’ll gain experience mapping out a course design from start to finish and be well equipped to continue on in the series.

For teachers in the state of Michigan: This series, ""An Introduction to Learning Experience Design (LXD),"" is approved in the state of Michigan for a maximum of 44.5 State Continuing Education Clock Hours (SCECHs) for teachers. The successful completion of all 3 courses in the series will be required to claim SCECHs.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""22395627"", ""33157001""]","[""Rebecca Quintana, PhD"", ""Chris Quintana""]",BEGINNER,Learning Experience Design: Theories and Frameworks,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/96/1ad65cfff4476aa3facd7c9f64472d/COURSE-IMAGE-2_800.png,"[""en""]","[""b_vpfZKmEe2Jkg5K4kWy3Q""]",learning-experience-design-theories-and-frameworks,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",P--h6zpNEeWYbg7p2_3OHQ,v2.ondemand,"This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”.  This course covers Python 3.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""122340""]","[""Charles Russell Severance""]",BEGINNER,Python Data Structures,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/44/2959b0502911e5851f058ad6ebf936/pythondata_thumbnail_1x1.png,"[""en""]","[""F-h1g0w7EeWeOApO_l5R1w""]",python-data,[],2-4 hours/week,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",fZGtX7LUEeilNhJ2KR9bNg,v2.ondemand,"This UX course provides an introduction to the fields of UX research and design. Learners will gain an understanding of what is involved in UX research, including conducting interviews, evaluating systems, and analyzing systems using principles of good design. Learners will also learn about the work involved in UX Design, including the generation of promising design solutions and the creation of prototypes at multiple levels of fidelity. By interleaving successive phases of UX Research and Design, learners will see how to learn from inevitable mistakes and improve towards a product with a great UX.

What you'll learn:

- The skills needed for UX research and design

- How UX researchers discover and assess user needs and assess possible designs

- How to conduct a micro-usability test

- How UX designers use sketching and prototyping to develop design concepts
- How to incorporate a user-centered focus into the design process

- Key features of human behavior and describe their impact on the design of interactive systems

- Techniques for critiquing and designing interactive systems based on human capabilities and behavior
","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""34219310""]","[""Mark Newman""]",BEGINNER,Introduction to User Experience Principles and Processes,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7d/3e5fa0cd6911e88090493dce122db5/ux_micromasters_course_1_1x1.png,"[""en""]","[""sbPjQ7drEeiKOw5SJXYV1A""]",introtoux-principles-and-processes,[],"6 weeks, 2-4 hours per week",Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",WUQ4EY57EfCz9Q76dM5E5Q,v2.ondemand,"Climate change hits hardest where people and environments are most vulnerable. Adapting to it is as much a social challenge as a technical one. In ""Climate Change & Adaptation,"" you'll explore the social dimensions of adaptation and how it shapes livelihoods, especially in less-developed regions.

The course examines the concepts at the heart of climate adaptation and impacts: vulnerability and resilience, the ways human societies have historically adapted to climate variability and change, and future adaptation needs that will shape development to come.

This is the second course in the ""Climate Solutions"" series, a three-course series on addressing climate change with innovative, community-centered strategies that protect biodiversity for the benefit of all.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""111418036"", ""56547765""]","[""Rajiv Ghimire"", ""Maria Carmen Lemos""]",BEGINNER,Climate Change and Adaptation,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/85/97de3fab26493da5d5f51342616700/Climate-Change-and-Adaptation_.png,"[""en""]","[""MJrc5wXfRiuCTM27sCzKvQ""]",climate-change-and-adaptation-v2,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",zN_XyjlAEeWCYBKNeFwojw,v2.capstone,"The capstone will develop a higher-quality web portfolio. Students will demonstrate the ability to design and implement a responsive site for a minimum of three platforms. Adherence to validation and accessibility standards will be required. The evolving student implementations will be reviewed each week by capstone peers and teaching assistants to make sure that the student keeps up with the agenda of the course. 

Upon completion of this course students will feel comfortable creating and/or updating existing front-end sites, utilizing existing frameworks, and testing sites for accessibility compliance.

This course is only open to students who have completed the first four courses in the Web Design for Everybody specialization: Introduction to HTML5, Introduction to CSS3, Interactivity with JavaScript, and Advanced Styling with Responsive Design.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""14130305"", ""122340""]","[""Colleen van Lent, Ph.D."", ""Charles Russell Severance""]",BEGINNER,Web Design for Everybody Capstone,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c3/038a800f7c11e7b0a8b13715a02d09/wd4e_capstone_1x1.png,"[""en""]","[""bf56AUzfEeWRyA5YS9oHkQ""]",web-design-project,[],"6 weeks of study, 6-8 hours/week",Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",Yv-LyNp0Ee69uBLZYnHtQQ,v2.ondemand,"Decoding AI: A Deep Dive into AI Models and Predictions explores the significance of large datasets, demystifies generative artificial intelligence (AI), and challenges common media myths about AI. By defining key terms and exploring how systems “learn” from data, you will gain a baseline understanding of how AI works. Work to understand different critiques of AI narratives, learn to navigate conversations with precision, discern conflicts of interest, and appreciate the multidisciplinary expertise needed to shape AI's impact on society.  This course provides you with the strategies and frameworks to engage in better conversation about the role of AI in your work and beyond.

This is the third course in Understanding Data: Navigating Statistics, Science, and AI Specialization, in which you’ll gain a core foundation for statistical and data literacy and gain an understanding of the data we encounter in our everyday lives.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""76876238""]","[""Elle O'Brien""]",BEGINNER,Decoding AI: A Deep Dive into AI Models and Predictions,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/27/0cfc19896a4f17a1c53286e4b1eaaf/Course-3_Understanding-Data.png,"[""en""]","[""-B2zwbcTT6iFkEUiCU78LQ"", ""JO20Y9yMS9yBhhaKOXkkfw""]",decoding-ai-deep-dive-ai-models-predictions,[],4 weeks,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",5tQXvP4KEeyFUAphC_7O7w,v2.ondemand,"Introduction to Healthcare Finance equips healthcare leaders with fundamental finance tools and concepts necessary for effective collaboration with experts and managing organizations. In this course, you’ll explore healthcare pricing, investment valuation, and pharmaceutical research and development costing. You will consider the motivation, consequences, and valuation techniques essential to helping you make strategic decisions and engage in effective bargaining in healthcare mergers and acquisitions. Get an inside look at the variations and complexities of healthcare pricing, trade-offs between financial risk and performance incentives, and the bargaining processes vital to pricing strategies and organizational viability. Financial valuation techniques, such as net present value and internal rate of return, are explored alongside financial risk considerations and opportunity costs.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""41360454""]","[""Jeffrey McCullough""]",INTERMEDIATE,Introduction to Healthcare Finance,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6d/4fa209456b4f49a474f9469bbbdc04/finance_final.png,"[""en""]","[""rVYT5_ycEeyNxw76_Wg-Yw""]",introduction-to-healthcare-finance,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",EdAYoyMjEeu1hw7_NRI1RQ,v2.ondemand,"سيتعرف الطلاب خلال هذه الدورة على أساسيات لغة الاستعلام البنوية (SQL) وتصميم قاعدة البيانات الأساسية لتخزين البيانات كجزءٍ من جمع البيانات متعددة الخطوات وتحليلها ومعالجتها. تستخدم الدورة التدريبية SQLite3 قاعدة بيانات لها. نعمل أيضًا على إنشاء متتبعات الويب وعمليات جمع البيانات متعددة الخطوات وتصورها. نستخدم مكتبة D3.js لإجراء تصور البيانات الأساسية. تتناول هذه الدورة الفصلين 14 و15 من كتاب ""Python for Everybody"". كي تجتاز هذه الدورة، ينبغي أن تكون على دراية بالمواد المذكورة في الفصل الأول إلى الفصل 13 من الكتاب الدراسي والدورات الثلاث الأولى في هذا التخصص. تتناول هذه الدورة Python 3.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""122340""]","[""Charles Russell Severance""]",,Python استخدام قواعد البيانات مع,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9d/172890502911e5827cbbcae1b894c9/pythondatabases_thumbnail_1x1.png,"[""ar""]",[],python-databases-ar,[],‫5 أسابيع دراسية، 2- 3 ساعات أسبوعيًا,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",g0YzLEjPEe6ybQr7spg82Q,v2.ondemand,"C remains one of the most popular languages thanks to its portability and efficiency, and laying the groundwork for many programming languages like C++, Java, JavaScript, and Python. In this course, you’ll dive deeper into the syntax of C, learning the functions of the language and how to properly apply them within an algorithm. Identify types, operators, and expressions within C to build recursive functions and examine the role of the C preprocessor in achieving software portability.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""122340""]","[""Charles Russell Severance""]",INTERMEDIATE,Programming in C,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fc/0770f1539d4aa899489474b9a017c2/MOOC-2---Programming-in-C-.png,"[""en""]","[""dnnnqT95TsaRiYc_doQE3w""]",programming-c,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",51Hd1x_REeueSQoCl7zOXw,v2.ondemand,"Este curso apresentará as estruturas de dados centrais da linguagem de programação Python. Vamos superar os fundamentos da programação de procedimentos e explorar como podemos usar as estruturas de dados integradas do Python, como listas, dicionários e tuplas, para realizar análises de dados cada vez mais complexas. Este curso cobrirá os capítulos 6 a 10 do livro “Python para Todos”.  Este curso aborda o Python 3.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""122340""]","[""Charles Russell Severance""]",,Estruturas de dados Python,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/44/2959b0502911e5851f058ad6ebf936/pythondata_thumbnail_1x1.png,"[""pt-BR""]",[],python-data-pt,[],2 a 4 horas/semana,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",fDxeIHxUEeuV5Q4JzJFoXQ,v2.ondemand,"The hope good presenters project when pitching their ideas is not naïve hope. They’re not Pollyanna at the podium. Instead, the solutions they offer are supported by research, data, and expertise. This course will teach you how to merge hard facts with an imaginative vision in a way that at once resonates with and inspires your audience.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""subdomainId"": ""law"", ""domainId"": ""social-sciences""}]","[""14444833""]","[""Patrick Barry""]",BEGINNER,Speaking and Presenting: Pitches and Persuasion,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f2/096de45b1a40b1ae204a571f7883fd/GWW2_C2_Thumb.jpg,"[""en""]","[""52LAvHE0T8SQuGwfv38GLg"", ""UPxwl30NEeut1g54IDhBaw""]",speaking-and-presenting-pitches-persuasion,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",hi7HyvEEEe6_hQ5vjY2P8w,v2.ondemand,"“Human Capital: Strategic HR and Managing Talent” explores the importance of finding and cultivating talent that transforms your organization. Learn how strategic human capital management drives organizational success and empowers you to align talent management with company goals. Develop a comprehensive framework for leadership and management that fully leverages human capital, equipping you to navigate the complexities of modern HR.


Gain valuable skills in identifying and growing talent through proven human resources frameworks, and understand how to leverage these skills throughout your organization’s strategy execution. In addition to building your talent acquisition skills, this course explores the role of technology, including AI and people analytics, in evolving HR practices. Gain insights into using these innovations to enhance decision-making and strategic planning. By engaging with these topics, you'll understand how to assess and implement strategies that align with your organization's broader objectives.

This is the second course in “Extraordinary Human Capital Management,” a course series for human resource professionals interested in advancing their skills to align with organizational and employee needs.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""14816106""]","[""Cheri Alexander""]",INTERMEDIATE,Human Capital: Strategic HR and Managing Talent,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e0/856000bbae40799b012c11e24adb2b/courseimage_2_small.png,"[""en""]","[""E3tUE6o-SUWhV5P-VMYsUA""]",human-capital-strategic-hr-and-managing-talent,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",qnmJVNFgEeyS9RLEXEFb1w,v2.ondemand,"Welcome to the People, Technology, and the Future of Mobility course! This course provides a lay-person’s introduction to some of the major technological innovations currently underway in the mobility space and asks learners to apply a variety of social science concepts to understand the likely social impacts of these technologies. The course is appropriate for learners from all backgrounds and does not require prior training in engineering or social science.

The content presented in this course draws on a number of interviews and lectures and was created through a partnership with Siemens. The course also includes an interactive 360 video experience that allows learners to explore the key components of an autonomous vehicle, go on a ride-along in an autonomous car, and learn about new sensing technology we could see in smart cities of today and tomorrow.

This course challenges learners to envision mobility of the future that is safer, cleaner, and more equitable. We will examine recent technological advances, as well as the socio-economic and policy implications, of two major evolving mobility-related technology spaces: electrification and automation.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""42753596""]","[""Elisabeth Gerber""]",BEGINNER,"People, Technology and the Future of Mobility ","[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6f/a682e2ca874a3eadab26e95ac92aa9/Course-image.jpeg,"[""en""]",[],people-technology-and-the-future-of-mobility,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",pCFl4iOaEeujjBLHOzn7tw,v2.ondemand,كان من المعهود فيما مضى أن يرى كل شخص صفحات إنترنت على شاشة لها نفس الحجم تقريبًا.  ولكن مع انبثاق ثورة استعمال الهواتف الذكية للدخول إلى شبكة الإنترنت، تغير عرض التصاميم كليًا.  يتوقع الأفراد في الوقت الراهن أنها ستعمل بصرف النظر عن المنصة (هاتف ذكي أو جهاز لوحي أو جهاز حاسوب محمول أو جهاز حاسوب مكتبي).  ويُطلق على تلك الإمكانية المتعلقة بالاستجابة لأي منصة التصميم سريع الاستجابة. وسيتعمق هذا المساق في المعارف الأساسية للغة CSS3 ليحوي موضوعات من قبيل الإطارات السلكية والتصميم السلس واستعلامات الوسائط واستخدام نماذج التنميط الحالية مثل بوتستراب.  بعد الانتهاء من دراسة المساق، سيتمكن الدارسون من: إيضاح نموذج الجوال أولًا وأهمية الإطارات السلكية في مرحلة التصميم واستخدام إطارات التصاميم الحالية مثل بوتستراب. هذا هو المساق الرابع في تخصص تصميم مواقع الويب للجميع.  يُتوقع أن تحظى بإلمامٍ جوهريٍ للغتي HTML وcss عند الالتحاق بهذا المساق. ينصب تركيز المساقات الأخرى على زيادة التفاعل مع لغة البرمجة جافاسكريبت وإنجاز مشروع ختامي.,"[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""14130305"", ""122340""]","[""Colleen van Lent, Ph.D."", ""Charles Russell Severance""]",,تنميط متقدم بتصميم سريع الاستجابة,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/28/895170502811e5a9a8e9eb5e9814a4/responsivedesign_thumbnail_1x1.png,"[""ar""]",[],responsivedesign-ar,[],"4 weeks of study, 1-3 hours/week",Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",Gbe3ER2bEe2yDw48xzb9Sw,v2.ondemand,"Firearm injuries are a leading cause of death among children and teens. However, there are many ways that these injuries and deaths can be prevented using evidence-based practices and policies.  

Presented by the University of Michigan Institute for Firearm Injury Prevention and the Firearm Safety among Children and Teens (FACTS) Consortium, this course lays a broad foundation for understanding the science of pediatric firearm injury prevention and the latest research and evidence-based solution. This course covers a range of firearm injury topics including firearm-related suicide, unintentional firearm injury, firearm-related community and youth violence, firearm-related intimate partner violence, school and mass shootings, and officer-involved shootings. Through lectures and interviews from leading firearm injury researchers, and activities, readings, discussion boards, and quizzes, learners can become familiar with the epidemiology, prevention strategies, and policy efforts related to pediatric firearm injury prevention. The course also covers important gaps in existing research and future directions for expanding the knowledge base of the field. 

This course is designed for multiple fields and levels of training, including students and researchers from public health, medicine, public policy, social work, nursing, criminology, sociology and psychology fields. The course is also appropriate for practitioners, educators and parents. As a learner, you will have the ability to select all modules or individual topics that interest you most. Composed of 7 modules, this course may be taken from the comfort of your home or office, and you can learn at your own pace.

Supported by a grant to the University of Michigan by the National Institutes of Health - Eunice Kennedy Shriver National Institute of Child Health and Human Development (NIH/NICHD) (Award Number: R24HD087149) and the University of Michigan Institute for Firearm Injury Prevention. The content is solely the responsibility of the contributors and does not necessarily represent the official views of the National Institutes of Health - Eunice Kennedy Shriver National Institute of Child Health and Human Development (NIH/NICHD) or the Department of Health and Human Services.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""research""}]","[""69272172"", ""44511654"", ""44202445""]","[""Marc A Zimmerman, PhD"", ""Patrick Carter, MD"", ""Rebecca Cunningham ""]",BEGINNER,Science of Firearm Injury Prevention Among Children & Teens,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/56/e4ffe9d7ae4b7483a877c30592c16b/FirearmSafety_CourseImage.jpg,"[""en""]",[],science-of-firearm-injury-prevention-children-teens,[],35 hours - approx 5 hours/per week for 7 weeks ,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",Bkx-PB00Eea0YQ7Ij7lJXw,v2.ondemand,"This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling). 

This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""20226469""]","[""VG Vinod Vydiswaran""]",INTERMEDIATE,Applied Text Mining in Python,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/21/381850484011e6a1703762dd1d87c0/python_datascience_thumbnail_textmining_1x1.png,"[""en""]","[""xKZ-Rh0LEeaVXQ4hxYGBZw""]",python-text-mining,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",NGt9qDv4EeuwehK5Ir7QEw,v2.ondemand,"In this course you will learn more about the historical design of databases and the use of SQL in the PostgreSQL environment. Using SQL techniques and common commands (INSERT INTO, WHERE, ORDER BY, ON DELETE CASCADE, etc) will enable you to create tables, column types and define the schema of your data in PostgreSQL.    You will learn about data modeling and how to represent one-to-many and many-to-many relationships in PostgreSQL.   Students will do hands-on assignments creating tables, inserting data, designing data models, creating relational structures and inserting and querying relational data in tables.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""122340""]","[""Charles Russell Severance""]",INTERMEDIATE,Database Design and Basic SQL in PostgreSQL,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/15/9aabefc9dd41dba725b3227f4c8101/pg4e_thumbnail_c1_resized.jpg,"[""en""]","[""NC2yKjv4Eeus1Q4-7xV-Ww""]",database-design-postgresql,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",Qjj3KjrWEeWO-Qq6rEZAow,v2.ondemand,"Improving health care for veterans has become a matter of national attention and has gained increasing attention from the medical community.  With the current surge of veterans reintegrating into civilian society it is critical to improve the training of the next cadre of providers who will provide care for our veterans.  It is widely known that veterans receive care in all aspects of the health system, thus providers in  veteran focused care facilities, military health serves and civilian locals must be aware of the unique needs of veterans.  It is perhaps even more important to educate civilian providers who may be unfamiliar with the unique physical, mental and emotional needs related to military service.

Course Audience
 - all health professions learners, example:
 - medical students, resident physicians, dental students,
 - nursing students, advanced practice nurses,
 - social work, pharmacy student as graduate level learners
 - as well as any and all health professionals interested in veteran-centered care

What You Will Learn:
This course will provide learners the opportunity to engage with material to facilitate their understanding of the origins of Academic Medical Centers and Veterans Administration affiliations, recognize and manage the influence of bias, class, and power on the clinical encounter and self-reflect on their biases that particularly affect U.S. military veterans.   This course also features several video clips from the acclaimed documentary, Where Soldiers Come From, directed by Heather Courtney.


The views expressed in this course are those of the authors and do not necessarily reflect the position or the policy of the Department of Veterans Affairs or the U.S. government.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""1786868"", ""5080871""]","[""Monica Lypson, M.D., M.H.P.E."", ""Paula Ross, Ph.D.""]",INTERMEDIATE,Service Transformed: Lessons in U.S. Veteran Centered Care,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a6/e8b8800f7111e79b617dbb2116532d/veterancenteredcare_thumbnail_1x1.png,"[""en""]",[],va-health-care,[],"7 weeks of study, 2-4 hours/week",Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",7gyJXYIhEeeL9BLE3sEj-g,v2.ondemand,"The objective of this course is to give students the most up-to-date information on the biological, personal, and societal relevance of sleep. Personal relevance is emphasized by the fact that the single best predictor of daytime performance is the quality of the previous night's sleep. The brain actively generates sleep, and the first section of the course is an overview of the neurobiological basis of sleep control. The course provides cellular-level understanding of how sleep deprivation, jet lag, and substances such as alcohol, ,caffeine, and nicotine alter sleep and wakefulness. The second section of the course covers sleep-dependent changes in physiology and sleep disorders medicine. Particular emphasis will be placed on disorders of excessive sleepiness, insomnia, and sleep-dependent changes in autonomic control. Chronic sleep deprivation impairs immune function and may promote obesity. Deaths due to all causes are most frequent between 4:00 and 6:00 a.m., and this second section of the class highlights the relevance of sleep for preventive medicine. The societal relevance of sleep will be considered in the final section of the class. In an increasingly complex and technologically oriented society, operator-error by one individual can have a disastrous negative impact on public health and safety.  Fatigue-related performance decrements are known to have contributed as causal factors to nuclear power plant failures, transportation disasters, and medical errors.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""1748705"", ""2942020""]","[""Ralph Lydic, Ph.D."", ""Helen Baghdoyan, Ph.D.""]",BEGINNER,"Sleep: Neurobiology, Medicine, and Society","[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e5/eeed00477311e5a77cddb1106b4133/sleep.png,"[""en""]",[],sleep,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",jDhCGfZLEeyxiRKaoDccyw,v2.ondemand,"Deepen your understanding of the power and politics of data in the public sector, including how values — in addition to data and evidence — are always part of public sector decision-making. In this course, you will explore common ethical challenges associated with data, data analytics, and randomized controlled trials in the public sector. You will also navigate and understand the ethical issues related to data systems and data analysis by understanding frameworks, codes of ethics, and professional guidelines. Using two technical case studies, you will understand common ethical issues, including participation bias in populations and how slicing analysis is used to identify bias in predictive machine learning models. This course also serves as a capstone experience for the Data Analytics in the Public Sector with R Specialization, where you will conduct an applied policy options analysis using authentic data from a real-world case study. In this capstone exercise, you will review data as part of policy options analysis, create a visualization of the results, and make a recommendation.

All coursework is completed in RStudio in Coursera without the need to install additional software.

This is the fourth and final course within the Data Analytics in the Public Sector with R Specialization. The series is ideal for current or early-career professionals working in the public sector looking to gain skills in analyzing public data effectively. It is also ideal for current data analytics professionals or students looking to enter the public sector.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""5002115"", ""48615098""]","[""Christopher Brooks"", ""Paula Lantz""]",INTERMEDIATE,Politics and Ethics of Data Analytics in the Public Sector,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c2/24b02d76f8418b8a5bbeaa60be93d0/AdobeStock_520340178.jpeg,"[""en""]","[""cY-skPMFEeyJxg7j8A0Faw""]",politics-and-ethics-of-data-analytics-in-the-public-sector,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",-fdFneNnEeq1lQoHIoQMWQ,v2.ondemand,"Wir alle verhandeln täglich. Auf persönlicher Ebene verhandeln wir unter anderem mit Freunden, Familie, Vermietern, Autoverkäufern und Arbeitgebern. Verhandlungen sind auch der Schlüssel zum Geschäftserfolg. Kein Unternehmen kann ohne profitable Verträge überleben. Innerhalb eines Unternehmens kann Verhandlungsgeschick zu Ihrem beruflichen Aufstieg führen. 

Ich hoffe, dass Sie sich den Hunderttausenden von Lernenden anschließen, die „Erfolgreiches Verhandeln“ zu einem der beliebtesten und am höchsten bewerteten MOOCs weltweit gemacht haben.  Im Kurs lernen Sie die vier Schritte einer erfolgreichen Verhandlung kennen und üben diese: 

   (1) Vorbereiten: Planen Sie Ihre Verhandlungsstrategie 

   (2) Verhandeln: Verwenden Sie Schlüsseltaktiken für den Erfolg 

   (3) Schließen: Erstellen Sie den Vertrag 

   (4) Ausführen und bewerten: Das Endspiel 

Um diesen Kurs erfolgreich abzuschließen und Ihre Verhandlungsfähigkeit zu verbessern, müssen Sie Folgendes tun: 

(1) Sehen Sie sich die kurzen Videos an (zwischen 5 und 20 Minuten). Die Videos sind interaktiv und enthalten Fragen, mit denen Sie Ihr Verständnis der Verhandlungsstrategie und -fähigkeiten testen können. Sie können Videos schneller oder langsamer abspielen, um sie an Ihr bevorzugtes Zuhör-Tempo anzupassen. Abhängig von Ihrem Zeitplan können Sie sich die Videos über einige Wochen hinweg ansehen oder alle sofort ansehen. Ein Kursteilnehmer, der sich gleich alles angesehen hatte, kam zu dem Schluss, dass „es so gut sei wie Breaking Bad“. Ein anderer Kursteilnehmer verglich den Kurs mit „House of Cards“.  In beiden Serien gibt es interessante Beispiele für komplexe Verhandlungen!

(2) Testen Sie Ihre Verhandlungsfähigkeiten, indem Sie die Verhandlung in Modul 6 abschließen. Sie können mit einem Freund vor Ort verhandeln oder mithilfe von „Diskussionen“ einen Partner aus einem anderen Teil der Welt finden. Ihr Verhandlungspartner gibt Ihnen Feedback zu Ihren Verhandlungsfähigkeiten. Um Sie bei Ihren Verhandlungen zu unterstützen, habe ich mehrere kostenlose Verhandlungsplanungstools entwickelt, die sich auf den Kurs beziehen.  Diese Tools und eine kostenlose App sind unter http://negotiationplanner.com/ verfügbar. 

(3) Legen Sie die Abschlussprüfung ab. Um den Kurs erfolgreich abzuschließen, müssen Sie 80 % der Fragen richtig beantworten. Die Prüfung ist eine sogannte Beherrschungs-Prüfung, d. h. Sie können sie so oft ablegen, wie Sie möchten, bis Sie das Material beherrschen. 

Kurszertifikat
Sie haben die Möglichkeit, ein Kurszertifikat zu erwerben.  Ein Zertifikat ist eine formelle Anerkennung Ihrer Leistungen im Kurs und enthält das Logo der University of Michigan.   Weitere Informationen zu Zertifikaten finden Sie unter: https://learner.coursera.help/hc/articles/209819053
 
Dieser Kurs ist auch in Spanisch und Portugiesisch verfügbar. Um an der komplett übersetzten spanischen Version teilzunehmen, besuchen Sie diese Seite: https://www.coursera.org/learn/negociacion/ 

Besuchen Sie diese Seite, um an der komplett übersetzten portugiesischen Version teilzunehmen: https://www.coursera.org/learn/negociacao
Subtitles for the videos are available in English, Ukrainian, Chinese (Simplified), Portuguese (Brazilian), Spanish 

Erstellt von:  University of Michigan

Das Kurslogo darf durch eine Creative Commons CC BY-SA-Lizenz (https://creativecommons.org/licenses/by-sa/2.0/) geteilt werden und wurde mit Bildern erstellt, die freundlicherweise von Flazingo Photos (http://bit.ly/1zOylRm) und K2 Space (https://www.flickr.com/photos/k2space/14257556613/in/set-72157644732478432) bereitgestellt wurden.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""3822163""]","[""George Siedel""]",,Erfolgreich Verhandeln: Strategien und Fähigkeiten,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/99/7ab7c00f7b11e79b617dbb2116532d/contractnegotiations_Logo_080814d.jpg,"[""de""]",[],negotiation-skills-de,[],"7 Wochen Studium, 75 Minuten/Woche",Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",vGCdYOQAEeaBzg6GnkESmg,v2.ondemand,"Preparing for graduate school in the United States can be nerve-wracking. Many international students have questions about what the programs are like and what resources they can use to excel in their studies. This course allows potential and incoming international students to practice their communication skills, identify tools that support academic success, and gain confidence as they prepare for their advanced degrees. 

Alongside advancing your English skills, get the chance to hear from international students who have attended graduate school in the United States as they explain how they adapted to campus life, utilized resources, and fostered community on their new campus. Throughout the course, learners from across the world can connect with other students to dive deeper into course topics, discuss perspectives, and network.","[{""domainId"": ""language-learning"", ""subdomainId"": ""learning-english""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""11056314""]","[""Pamela Bogart""]",BEGINNER,Preparing for Graduate Study in the U.S.: A course for international students,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4c/ddfd60368011e7ae2343ea6ff59554/preparingforgrad_051117_1x1_2_.png,"[""en""]",[],graduate-study-usa,[],Plan on setting aside 2-3 hours each week to explore life in graduate school in the U.S. together. ,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",pDGVi_EEEe6gPxJK4ChNFw,v2.ondemand,"With “Human Capital: Teams, Unions, and Change Management,” you’ll learn how to transform the way you manage teams and understand human resources. Dive into a comprehensive journey that emphasizes the importance of diversity, equity, inclusion, and belonging within the workplace and equips you with the essential tools to manage diverse teams effectively. This course uniquely bridges the gap between HR and labor relations in unionized environments, comparing and contrasting their roles to give you a holistic understanding of workplace dynamics.

Additionally, you will develop innovative change management strategies grounded in contemporary HR models and theories. Learn to navigate and influence employer-employee relationships, leveraging humor and negotiation to foster a positive and productive work environment. With a focus on practical application and current industry practices, this course prepares you not just to meet but to exceed the challenges of the modern workforce. Embrace the opportunity to become a catalyst for change and a champion of inclusive, effective team management. 

This is the third course in “Extraordinary Human Capital Management,” a course series for human resource professionals interested in advancing their skills to align with organizational and employee needs.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""14816106""]","[""Cheri Alexander""]",INTERMEDIATE,"Human Capital: Teams, Unions, and Change Management","[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/11/1b43dbf0214fb798a887f1b2b2552d/Course-3_Human-Capital_-Teams-Unions-and-Change-Management.png,"[""en""]","[""E3tUE6o-SUWhV5P-VMYsUA""]",human-capital-teams-unions-and-change-management,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",P2DL3y-pEe2rxxLf5KsrIw,v2.ondemand,"Bias in healthcare delivery leads to worse patient care and patient outcomes. Advancing Health Equity: A Guide for Reducing Bias in Healthcare provides you an interactive bias training that teaches skills applicable to addressing enhanced public health guidelines and approaching the work of health equity.  

The racial and ethnic makeup of the United States is constantly shifting, and more specifically, becoming more diverse. Such changes require a more health equity-focused workforce and health equity-minded leadership. Bias training plays an essential role in leadership development, and it’s become imperative for all healthcare workers to recognize the foundational connection between biases and health care management and policy.

This course is designed to challenge your awareness, values, and actions on implicit and unconscious bias, and is intended to guide individuals hoping to contribute to this work in a healthcare context. The following core concepts form the basis of instruction and together offer an introductory perspective on this pressing topic: 1.) Community Orientation; 2.) Organizational Awareness; 3.) Professionalism; 4.) Accountability, Change Leadership, and Strategic Orientation. 

An interactive 360-video experience allows you to engage in healthcare situations that center bias on multiple levels of our healthcare delivery systems.  You will be prompted to consider multiple perspectives and roles, and use empathy to analyze bias and take action.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}, {""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""122268394""]","[""Ebbin Dotson""]",INTERMEDIATE,Advancing Health Equity: A Guide to Reducing Bias in Healthcare,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/39/939b8e769e4cabbf4577bdc1abf726/AdvHealthEquityCourseImageFINAL.jpg,"[""en""]",[],advancing-health-equity-a-guide-for-reducing-bias,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",41f7CjlXEeWYbg7p2_3OHQ,v2.ondemand,"In this course, you will learn how to create a shared vision for your team and effectively communicate it to your teammates. You will also learn how to set effective goals and expectations in a way that best enables your team to attain the shared vision. Finally, you will understand the most important needs and drivers of performance across cultures, and will learn to align rewards with desired behaviors so that your teammates are motivated to attain the team’s objectives. 

Motivation represents a crucial challenge for contemporary organizations: A recent Gallup poll revealed that only 13% of workers worldwide exhibit high levels of engagement and motivation. We will show you why these motivation problems are not simply due to a “bad” or “unmotivated” team member. Rather, motivation is very much driven by what work conditions we create for our teammates, how we structure goals and objectives, and how we reward people for the accomplishment of those goals. This course will help you diagnose and solve motivation problems so that you can bring out the best in your people.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""8072182""]","[""Maxim Sytch, Ph.D.""]",BEGINNER,Inspiring and Motivating Individuals,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/52/8cb5f0502a11e5a7a179a975f22dbd/motivatepeopleteams.png,"[""en""]","[""CRdvSkeYEeWK-RJJsrCNzw""]",motivate-people-teams,[],"4 weeks of study, 3-5 hours/week",Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",6knu7KfQEeilbxKRbz37rg,v2.ondemand,"In this course, we will explore basic principles behind using data for estimation and for assessing theories. We will analyze both categorical data and quantitative data, starting with one population techniques and expanding to handle comparisons of two populations. We will learn how to construct confidence intervals. We will also use sample data to assess whether or not a theory about the value of a parameter is consistent with the data. A major focus will be on interpreting inferential results appropriately.  

At the end of each week, learners will apply what they’ve learned using Python within the course environment. During these lab-based sessions, learners will work through tutorials focusing on specific case studies to help solidify the week’s statistical concepts, which will include further deep dives into Python libraries including Statsmodels, Pandas, and Seaborn. This course utilizes the Jupyter Notebook environment within Coursera.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""251091"", ""34237657"", ""34919608""]","[""Brenda Gunderson"", ""Brady T. West"", ""Kerby Shedden""]",INTERMEDIATE,Inferential Statistical Analysis with Python,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bd/9ad520d79511e89c99a1e72e939c6b/statswpy_C2_blockM.jpg,"[""en""]","[""ZIBOPMDUEei-xRJApul-jA""]",inferential-statistical-analysis-python,[],"4 weeks of study, 4-6 hours/week",Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",Sets1iMLEeuF6RLLcL5oKQ,v2.ondemand,"ستتعلم في هذه الدورة كيفية خلق رؤية مشتركة لفريقك وإيصالها بفعالية لزملائك بالفريق. ستتعلم أيضًا كيفية إرساء أهداف وتوقعات فعّالة بطريقة تعمل على تمكين فريقك على النحو الأفضل من تحقيق الرؤية المشتركة وأخيرًا، ستفهم احتياجات ودوافع الأداء الأكثر أهمية عبر الثقافات، وستتعلم كيفية المواءمة بين المكافآت والسلوكيات المنشودة بحيث يتم تحفيز زملائك على بلوغ أهداف الفريق. 

يُمثل التحفيز تحديًا مهمًا للغاية أمام المؤسسات المعاصرة: كشف استطلاع رأي حديث من Gallup عن أن 13% من العاملين حول العالم يظهرون مستويات عالية من الارتباط والتحفيز. سنوضح لك كيف أن مشكلات التحفيز ليست ببساطة بسبب عضو فريق ""سيئ"" أو ""غير مُحفَّز"". إن التحفيز، على العكس من ذلك، يكون مدفوًعا في المقام الأول بظروف العمل التي نوفرها لزملائنا بالفريق، وبكيفية هيكلتنا للأهداف والغايات، وبالطريقة التي نكافئ بها الأشخاص على إنجاز هذه الأهداف. ستساعدك هذه الدورة على تشخيص مشكلات التحفيز وحلّها حتى يتسنى لك إخراج أفضل ما لدى الأشخاص بفريقك.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""14413061"", ""8072182""]","[""Scott DeRue, Ph.D."", ""Maxim Sytch, Ph.D.""]",,إلهام الأفراد وتحفيزهم,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/52/8cb5f0502a11e5a7a179a975f22dbd/motivatepeopleteams.png,"[""ar""]",[],motivate-people-teams-ar,[],4 أسابيع من الدراسة، من 3 إلى 5 ساعات/ أسبوعيًا,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",eHfy41TXEeqUvw5ZQPycVw,v2.ondemand,"Welcome to Finding Purpose and Meaning in Life: Living for What Matters Most! 

In this course, you’ll learn how science, philosophy and practice all play a role in both finding your purpose and living a purposeful life. You will hear from historical figures and individuals about their journeys to finding and living a purposeful life, and will walk through different exercises to help you find out what matters most to you so you can live a purposeful life. 

As an added benefit, you will also have complimentary access, for a period of time, to the Purposeful App. This groundbreaking mobile and desktop app is designed to help you build a purposeful rhythm into each day, so you can bring your best self to what matters most. Look for more information in Week 1 of the course! 

By the end of this course, you will: 
1. Understand that having a strong purpose in life is an essential element of human well-being.
2. Know how self-transcending purpose positively affects well-being.
3. Be able to create a purpose for your life (don't be intimidated, this is different from creating ""the purpose"" for your life).
4. Apply personal approaches and skills to self-change and become and stay connected to your purpose every day.

We are thrilled that you are here! We look forward to hearing and learning from you throughout this course!","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""47665060""]","[""Vic Strecher""]",BEGINNER,Finding Purpose and Meaning In Life: Living for What Matters Most,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c6/7f513b212048f99174b25e153f157f/lifepurp_thumnail_coursera_04132020.jpg,"[""en""]",[],finding-purpose-and-meaning-in-life,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",rMkyIXRKEeqwExLDsVNZuw,v2.ondemand,"Engaging in this course will provide you with the opportunity to think about breastfeeding and its public health implications. The Socio-Ecological Model will be the framework of the course as we think about how each level of the Model (individual, interpersonal, community, organizational, and public policy) impacts breastfeeding practices in the United States, and globally.

Through short video lectures you will be introduced to relevant topics related to the public health perspectives of breastfeeding such as the maternal and child short- and long-term health benefits, economic and environmental impacts, the state of health profession curricula surrounding breastfeeding education, and breastfeeding practices of the LGBTQ+ community. 

You will apply this knowledge to critique breastfeeding literature, create a breastfeeding budget for a particular breastfeeding parent persona, and design an education material to promote breastfeeding. As you complete this course, you should feel confident in identifying the barriers to successful breastfeeding practices and understand how adequate breastfeeding will impact population health.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""32098830""]","[""Olivia S. Anderson""]",BEGINNER,Breastfeeding: Public Health Perspectives,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bd/8b5039d9fe4111a9d2abd6a15fbd7a/lactation_coursera_010421.jpg,"[""en""]",[],breastfeeding-public-health-perspectives,[],"4 weeks of study, 2-4 hours/week",Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",R-SjCeF4EeavSQqUZOzWHA,v2.ondemand,"Are you concerned about climate change? Would you like to learn how to address and respond to this challenge? If so, this course is for you.  

Act on Climate: Steps to Individual, Community, and Political Action is intended to help learners understand, address and respond to climate change as individuals and in partnership with their communities and political leaders. The course focuses on how to translate learning into action on climate change in the areas of food, energy, transportation and the built environment (cities). This course was co-developed and taught by Michaela Zint, Professor of Environmental Education and Communication, and University of Michigan Students. A range of academic climate change experts and professional leaders are featured.

As a result of completing this course, you will be able to:

1) Identify individual, community, and political actions you can engage in to effectively address and respond to climate change.

2) Describe how insights from the social sciences can be employed to create change at the individual, community, and political levels.

3) Feel empowered to continue to influence how you, your community, and political leaders address and respond to climate change.

Use #UMichActonClimate on social media to share what you're doing and connect with other learners.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""21991111""]","[""Michaela Zint""]",BEGINNER,"Act on Climate: Steps to Individual, Community, and Political Action","[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ee/7bfd1055ee11e7bcc36541eedc09a7/actclimatechange_062017_1x1.png,"[""en""]",[],act-on-climate,[],"7 weeks of study, 2-4 hours per week.",Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",UTRoBo0SEe2TERKRViDNeQ,v2.ondemand,"Envisioning Educational Transformation supports aspiring change agents in moving beyond the status quo by building new ambitions for educational access, quality, and equity in their local contexts, with a specific focus on identifying relationships among global, national, and local agendas for systems transformation. You will engage with leading policymakers and researchers to understand global and national policy discourses about educational transformation, and you will collaborate with course colleagues in cross-national comparisons of ambitions for educational access, quality, and equity to fuel your creativity and motivation. You’ll then engage in local systems analyses and lead a local “visioning conversation” with the aim of building shared ambitions for educational transformation in your local context.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""121606532""]","[""Donald Peurach ""]",BEGINNER,Envisioning Educational Transformation,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7f/ed7999455e4569ae3499f8ca1a5213/Course1_Thumbnail_Orange.png,"[""en""]","[""wszOQwYFTbW84PAkqJ_R3A""]",envisioning-educational-transformation,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",vWfmEH--Ee2MDA4NmZ7FXQ,v2.ondemand,"""인공지능 투자와 온라인 자산 관리의 진화에 대해 배워보세요.

온라인 투자 및 자산 관리가 전에 없이 쉬워졌는데, 과연 인공지능 투자가 제대로 작동할까요? 어떤 문제점이 있을까요?

이 강좌에서는 기술이 우리가 투자하는 방식을 어떻게 바꿔놓았는지 알아볼 거예요. 인공지능 기반 온라인 자산 관리 플랫폼과 로보어드바이저의 원리에 대해 알아보고, 왜 성공적인지 생각해 봅시다.

인간 기반 데이터 중심의 투자 전략에서 신경망 전략으로 넘어가, 인공지능의 투자 결정 능력을 평가하고 거래 결정을 내릴 때 인공지능 및 머신 러닝이 어떤 역할을 하는지 알아봅시다.""","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""48576223""]","[""Andrew Wu""]",BEGINNER,투자 기술의 혁신: AI,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/56/4dcf44db224e05a3dbd92edaf6474e/fintech_futurelearn_v5_coursera.jpg,"[""ko""]",[],invest-tech-ko,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",nchsJXKWEeqVdgp3lQQ0QQ,v2.ondemand,"Do you have an idea that could help solve a societal problem? Are you wondering if starting a social enterprise is the best way to go forward? You are thinking about becoming a social entrepreneur!

In this course, you’ll critically examine what makes for a good idea, and whether that idea requires starting a new business. You’ll craft a personal immersion plan while considering different ways to create impact. You’ll explore the personal challenges and connections to your life’s purpose before deciding to commit to becoming a social entrepreneur.

Each week, you’ll see and hear from 11 real-life social entrepreneurs, working around the world, and sharing the lessons they’ve learned as well as the mistakes they’ve made and how you can overcome them. Among their experiences are: providing clean water in India and the Dominican Republic, warming premature babies without incubators, improving education in Africa and Detroit, and providing affordable fresh food to low-income residents of Los Angeles. Ultimately, you’ll be able to decide whether your idea is necessary for the world, and if starting a social enterprise is the right path for you. This course is based on the book “Becoming a Social Entrepreneur: Starting Out, Scaling Up and Staying True” by Michael Gordon.","[{""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""4691078""]","[""Michael Gordon""]",BEGINNER,Becoming a Social Entrepreneur: Getting Started,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/50/8b2b5f270d4546a12dbe35ee3e5500/socialenterprise_coursethumbnail_coursera.jpg,"[""en""]",[],social-entrepreneurship-getting-started,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",cGEwIoDoEe-L8RKezlgehQ,v2.ondemand,"In this course, you will delve into the groundbreaking intersection of AI and autonomous systems, including autonomous vehicles and robotics. “AI for Autonomous Vehicles and Robotics” offers a deep exploration of how machine learning (ML) algorithms and techniques are revolutionizing the field of autonomy, enabling vehicles and robots to perceive, learn, and make decisions in dynamic environments. Through a blend of theoretical insights and practical applications, you’ll gain a solid understanding of supervised and unsupervised learning, reinforcement learning, and deep learning. You will delve into ML techniques tailored for perception tasks, such as object detection, segmentation, and tracking, as well as decision-making and control in autonomous systems. You will also explore advanced topics in machine learning for autonomy, including predictive modeling, transfer learning, and domain adaptation. Real-world applications and case studies will provide insights into how machine learning is powering innovations in self-driving cars, drones, and industrial robots. By the course's end, you will be able to leverage ML techniques to advance autonomy in vehicles and robots, driving innovation and shaping the future of autonomous systems engineering.","[{""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""143427576""]","[""Wei Lu""]",INTERMEDIATE,AI for Autonomous Vehicles and Robotics,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b7/57b7e379c84e448db39a5b92ac7512/aimechengineers_Course_Image_2.png,"[""en""]","[""yhVe4SiFTQmpIbGvlFfblQ""]",ai-for-autonomous-vehicles-and-robotics,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",7H7wDjLnEe6U4g7a-RyA1w,v2.ondemand,"Why are rockets so big? Is there gravity in space? How does a rocket engine even work? In this course, you’ll explore the major concepts of rocket science, including orbital dynamics, velocity, and different types of engines that help propel a rocket out of Earth’s atmosphere. Determine how rocket scientists use formulas and Newton’s laws to propel rockets off the ground and accelerate them to their destination. Explore how and why rockets have stages, including how rocket scientists choose between solid and liquid engines for rockets. With The Basics of Rocket Science, you’ll even get an inside look at how we might get humans to Mars, an advancement in rocket science that could change humanity's future.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""physics-and-astronomy""}]","[""142046111""]","[""Aaron Ridley""]",BEGINNER,The Basics of Rocket Science,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2a/efb9336cdc4071856cc3b04b2a208b/Untitled_Artwork-3.png,"[""en""]","[""2--6zaMbTpu-Z2mDCbF6hQ""]",basics-of-rocket-science,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",DUIbAwrmEeWhsgqB1eduww,v2.ondemand,"Todos negociamos diariamente. A nivel personal, negociamos con amigos, familia, propietarios, vendedores de autos y empleadores, entre otros. La negociación también es la clave del éxito comercial. Ninguna empresa puede sobrevivir sin contratos rentables. Dentro de una empresa, las habilidades de negociación lo pueden llevar a avanzar en su carrera. 

En este curso, aprenderá y practicará los cuatro pasos necesarios para lograr una negociación exitosa, con un módulo para cada paso: 
(1) Preparación: Planifique su estrategia de negociación 
(2) Negociación: Use las tácticas claves para el éxito 
(3) Cierre: Cree un contrato 
(4) Cumplimiento y evaluación: El juego final 

Para completar exitosamente este curso y mejorar su capacidad de negociar, deberá completar los tres pasos siguientes: 
(1) Mire los videos breves (que van de 5 a 20 minutos) de cada módulo. Los videos son interactivos e incluyen preguntas para evaluar su entendimiento de las estrategias y habilidades de negociación. Los videos se pueden acelerar o ralentizar para adaptarse al ritmo que prefiera escucharlos. Según sus horarios, puede ver los videos en unas semanas o verlos todos juntos. Un estudiante que vio el curso de una sola vez concluyó que ""es tan bueno como Breaking Bad"". 
(2) Complete la negociación del Módulo 6 para evaluar sus capacidad de negociación. Puede negociar con un amigo local o usar los Debates para encontrar un socio de otra parte del mundo. Su socio de negociación le brindará una devolución sobre sus capacidad de negociación. En el camino, puede resultarle útil utilizar esta aplicación móvil gratuita que está relacionada con el curso y contiene varias herramientas de planificación de la negociación. http://negotiationplanner.com/ 
(3) Tome el examen final. Para completar el curso exitosamente, debe responder correctamente el 80 % de las preguntas. Este examen es un examen de dominio, lo que significa que puede tomarlo las veces que quiera hasta que domine el material. 

Además, este curso incluye la opción de obtener un Certificado verificado (CV) a través de la verificación de su identidad y la finalización exitosa del curso. Un CV le proporciona un reconocimiento formal de sus logros en el curso e incluye el logo de la Universidad de Michigan. 

Si usted está considerando obtener un CV, debe completar el proceso de verificación antes de tomar el examen final. Puede elegir pagar los cargos asociados antes o después del examen. Para obtener más información acerca de los CV, visite: learner.coursera.help/hc/en-us/articles/201212399-Verified-Certificates 

El logo compuesto del curso se comparte con una licencia Creative Commons CC BY-SA (https://creativecommons.org/licenses/by-sa/2.0/) y fue creado con las imágenes proporcionadas por cortesía de Flazingo Photos (http://bit.ly/1zOylRm) y K2 Space (https://www.flickr.com/photos/k2space/14257556613/in/set-72157644732478432).

This is a translated version. To join the original English version, visit this page: https://www.coursera.org/learn/negotiation-skills/","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""3822163""]","[""George Siedel""]",,Negociación exitosa: Estrategias y habilidades esenciales (en español),"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ae/eef7600f7b11e79b617dbb2116532d/contractnegotiations_Logo_080814d.jpg,"[""es""]",[],negociacion,[],8.5 hours of videos,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",g9KhGjk_EeWXuQopUhAqaw,v2.ondemand,"It used to be the case that everyone viewed web pages on about the same size screen - a desktop computer. But now it is just as likely that someone will be using a smart phone, tablet, or assistive technology to access the Internet. Therefore, people viewing your site will now expect that it will perform regardless of the device (smartphone, tablet, laptop, desktop computer, or screen reader) AND take into account some common personal settings such as color schemes. This ability to respond to any platform and user preferences is called Responsive Design.

This course will expand upon the basic knowledge of CSS3 to include topics such as wireframes, fluid design, media queries, and the use of existing styling paradigms. After the course, learners will be able to:
** Explain the mobile-first paradigm and the importance of wireframes in the design phase
** Create sites that behave across a range of platforms
** Recognize existing design frameworks such as Bootstrap

A basic understanding of HTML and CSS is expected when you enroll in this class, so it can be taken third or fourth in the Web Design for Everybody specialization. Additional courses focus on adding interactivity with the JavaScript Programming Language and completing a capstone project.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""14130305"", ""122340""]","[""Colleen van Lent, Ph.D."", ""Charles Russell Severance""]",BEGINNER,Advanced Styling with Responsive Design,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/28/895170502811e5a9a8e9eb5e9814a4/responsivedesign_thumbnail_1x1.png,"[""en""]","[""bf56AUzfEeWRyA5YS9oHkQ""]",responsivedesign,[],"4 weeks of study, 1-3 hours/week",Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",F7l8R9o-EemB2xKKBQh-MA,v2.ondemand,"This course will empower non-prescribing providers to directly impact the ongoing opioid crisis in the United States through increased knowledge and tools that will transform practice and policies. The course will inform you about the opioid epidemic and provide information and research about evidence-based strategies that are focused on prevention, intervention, education, or policy.

This open learning course is designed primarily for non-prescribing healthcare, behavioral health, dental and social services professionals, as well as graduate-level students in these fields. Other individuals may also benefit from this course such as educators and physicians.  

As a learner, you have the ability to select any or all of the modules and topics that interest you. You can complete the course in a linear or non-linear structure according to your preferred viewing order. This course is taught by experts in the field of opioid prevention, intervention, treatment, and policy. Through lectures, panels and interviews, knowledge checks and quizzes, and additional readings and activities, you can explore topics that are most relevant to your work or practice.

After completing this activity, participants will be able to educate their patients on the safe use of opioids and the prevention of misuse, detect risk factors for opioid misuse and abuse, and refer patients to additional evidence-based resources.

The course was developed by three University of Michigan programs, including the Institute for Healthcare Policy and Innovation (IHPI), the Opioid Prescribing Engagement Network (OPEN) and the CDC-funded University of Michigan Injury Prevention Center.

The course consists of 6 “lessons” or modules of varying length, for a total commitment of about 16 hours. 

Course modules include:
1. Epidemiology of the Opioid Crisis
2. Understanding of Pain
3. Prevention of Misuse and Abuse
4. Working with Patients and the Public
5. Addiction Treatment and Recovery
6. Public Policy","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""45718010"", ""5199602""]","[""Karen Farris, PhD, MPA"", ""John Ayanian""]",BEGINNER,"Impacting the Opioid Crisis: Prevention, Education, and Practice for Non-Prescribing Providers","[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8a/a76f7436634c029dc1bf09a7ad3677/opiodmisuse_v4.jpg,"[""en""]",[],opioid,[],,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert"", ""Specialization""]",2e_l18MBEea6CwrxGAW0VA,v2.ondemand,"Most professions these days require more than general intelligence. They require in addition the ability to collect, analyze and think about data. Personal life is enriched when these same skills are applied to problems in everyday life involving judgment and choice. This course presents basic concepts from statistics, probability, scientific methodology, cognitive psychology and cost-benefit theory and shows how they can be applied to everything from picking one product over another to critiquing media accounts of scientific research. Concepts are defined briefly and breezily and then applied to many examples drawn from business, the media and everyday life.

What kinds of things will you learn? Why it’s usually a mistake to interview people for a job. Why it’s highly unlikely that, if your first meal in a new restaurant is excellent, you will find the next meal to be as good. Why economists regularly walk out of movies and leave restaurant food uneaten. Why getting your picture on the cover of Sports Illustrated usually means your next season is going to be a disappointment. Why you might not have a disease even though you’ve tested positive for it. Why you’re never going to know how coffee affects you unless you conduct an experiment in which you flip a coin to determine whether you will have coffee on a given day. Why it might be a mistake to use an office in a building you own as opposed to having your office in someone else’s building. Why you should never keep a stock that’s going down in hopes that it will go back up and prevent you from losing any of your initial investment. Why it is that a great deal of health information presented in the media is misinformation.","[{""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""14296851""]","[""Richard E. Nisbett""]",BEGINNER,Mindware: Critical Thinking for the Information Age ,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/76/cee530ea2c11e69e585779d1c48de8/mindware_thumbnail_coursera_1200.png,"[""en""]","[""4JtfZizqT_-bP7Mbr-I5rg""]",mindware,[],4 weeks of study; 3-4 hours/week,Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",CMq-W-NoEeqDjQ4uBpeBKw,v2.ondemand,"Nous négocions tous au quotidien. À titre personnel, nous négocions avec des amis, notre famille, des propriétaires, des vendeurs de voitures et des employeurs, entre autres. La négociation est également la clé de la réussite en affaires. Aucune entreprise ne peut survivre sans affaires rentables. Au sein d’une entreprise, des compétences en négociation peuvent vous permettre d’évoluer. 

J'espère que vous rejoindrez les centaines de milliers d'apprenants qui ont fait de « Réussir une négociation » l'un des MOOC les plus populaires et les mieux notés au monde.  Dans le cours, vous apprendrez et mettrez en application les quatre étapes d'une négociation réussie : 

   (1) Se préparer : Planifier votre stratégie de négociation 

   (2) Négocier : Utiliser des tactiques clés pour arriver à ses fins 

   (3) Conclure : Établir un contrat 

   (4) Exécuter et évaluer : La phase finale 

Pour valider ce cours et améliorer vos capacités de négociation : 

(1) Regardez les courtes vidéos (de 5 à 20 minutes). Les vidéos sont interactives et comprennent des questions pour tester votre compréhension de la stratégie de négociation et des compétences requises. Les vidéos peuvent être accélérées ou ralenties selon le rythme d'écoute souhaité. En fonction de votre emploi du temps, vous pouvez regarder les vidéos sur une période de quelques semaines, ou bien toutes les regarder en une seule fois. Un apprenant qui a suivi le cours en une seule fois a conclu que c’était « aussi bien que Breaking Bad ». Un autre apprenant a comparé le cours à « House of Cards ».  Les deux séries contiennent des exemples intéressants de négociations complexes !

(2) Testez vos compétences en négociation en menant une négociation dans le module 6. Vous pouvez négocier avec un ami ou utiliser « Discussions » pour trouver un partenaire dans un autre pays. Votre partenaire de négociation vous donnera un retour sur vos compétences en négociation. Pour vous accompagner dans vos négociations, j'ai développé plusieurs outils gratuits pour préparer une négociation, en lien avec le cours.  Ces outils et une application gratuite sont disponibles sur http://negotiationplanner.com/ 

(3) Passez l’examen final. Pour réussir le cours, vous devez répondre correctement à 80 % des questions. L’examen est un examen de maîtrise, ce qui signifie que vous pouvez le passer autant de fois que vous le souhaitez jusqu'à ce que vous maîtrisiez le contenu. 

Attestation de fin de formation
Vous avez la possibilité d'obtenir une attestation de fin de formation.  Une attestation de fin de formation est un document attestant officiellement de votre validation du cours, qui porte le logo de l'université du Michigan.   Pour en savoir plus sur les attestations, consultez : https://learner.coursera.help/hc/articles/209819053
 
Ce cours est également disponible en espagnol et en portugais. Pour suivre le cours en espagnol, rendez-vous sur : https://www.coursera.org/learn/negociacion/ 

Pour suivre le cours en portugais, rendez-vous sur : https://www.coursera.org/learn/negociacion/

Créé par :  Université du Michigan

Le logo composite du cours est partagé avec une licence Creative Commons CC BY-SA (https://creativecommons.org/licenses/by-sa/2.0/) et a été créé à l'aide d'images fournies gracieusement par Flazingo Photos (http://bit.ly/1zOylRm) et K2 Space (https://www.flickr.com/photos/k2space/14257556613/in/set-72157644732478432).","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""77565746"", ""3822163""]","[""Localization Team"", ""George Siedel""]",,Réussir une négociation : Stratégies et compétences clés,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/99/7ab7c00f7b11e79b617dbb2116532d/contractnegotiations_Logo_080814d.jpg,"[""fr""]",[],negotiation-skills-fr,[],"7 semaines d'étude, 75 minutes/semaine",Lg5abNNZsyAOUYSS8,Yrfz5gNLWgUY77hbw
[],"[""VerifiedCert""]",Tr9rK6JtEeSwKiIACiONVg,v2.ondemand,"Explore the fascinating world of human physiology and learn about the body's organ systems, their functions, and how they maintain health. In this comprehensive course, you will:

- Master key concepts in human physiology and homeostasis
- Delve into the nervous, endocrine, cardiovascular, respiratory, and urinary systems
- Examine the role of senses, muscles, gastrointestinal, and reproductive systems
- Apply knowledge to real-life situations and medical conditions

This course is perfect for students, healthcare professionals, and anyone interested in human physiology and biology, building upon a basic understanding of human anatomy. This course is an excellent resource for MCAT preparation or as a refresher for health professionals. 

As a bonus, enhance your learning with a unique immersive virtual reality (VR) experience, accessible on both VR and desktop platforms, that takes you on an incredible journey inside the human body. This course offers a captivating way to explore and understand complex physiological concepts, as you virtually shrink to navigate through blood vessels and then return to normal size to measure blood pressure. The course comes to life as an educational adventure.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}]","[""868977"", ""920567""]","[""Jennifer Carbrey"", ""Emma Jakoi""]",BEGINNER,Introductory Human Physiology,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera.s3.amazonaws.com/topics/humanphysio/large-icon.png,"[""en""]",[],physiology,[],22 hours of videos and assessments,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",7ClK5R3AEe-V5BLFv6VgIQ,v2.ondemand,"In this course, you will learn how positive spread, healthy cash flows, meeting investor expectations, and sustaining competitive advantage are essential for creating long-term value in any organization. Additionally, you will understand the key factors that influence a company’s value, such as revenue growth, cost efficiency, asset utilization, and capital allocation. You will apply these concepts by analyzing real-world examples and completing practical assessments focused on value creation strategies.

This course is ideal for non-financial managers or professionals who seek to enhance their financial acumen to make better business decisions. No prior experience in finance is required. However, a basic understanding of business operations and strategic thinking will be beneficial.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""161523582""]","[""Joseph Perfetti""]",BEGINNER,Business Value Creation,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0e/c18678d1084d27973f8a7cfd1b37be/C1-Logo_v2.png,"[""en""]","[""bk4QvR_5TD-gB9IwJgv6oQ""]",business-value-creation,[],"2 weeks of study, 1-3 hours/week",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",bFi6thWUEeybERIFKl6bvQ,v2.ondemand,"Put the keystone in your Python Data Science skills by becoming proficient with Data Visualization and Modeling. This course is suited for intermediate programmers, who have some experience with NumPy and Pandas, that want to expand their skills for any career in data science. Whether you come to data science through social sciences and Statistics, or from a programming background, this course will integrate the two perspectives and offer unique insights from each.

You’ll begin by becoming adept with matplotlib, an essential plotting library in Python that will enable you to discover and communicate insights about data effectively. You’ll progress to classification algorithms by creating a K-Nearest Neighbors (KNN) classifier, a foundational algorithm used in data science and machine learning. Finally, you will write Python programs that leverage your newfound data science skills based on inferential statistics, and be able to describe relationships between variables in your data.

By the end of the course, you’ll be able to quickly visualize a dataset, explore it for insights, determine relationships between data, and communicate it all with effective plots. In the last module of this course, you’ll produce a publication-quality figure based on data that you’ve prepared and cleaned yourself; the first artifact in your data science portfolio.

Throughout this course you’ll get plenty of hands-on experience through interactive programming assignments, live coding demos from data scientists, and analyzing the data behind important real-world problems (like carbon emissions, real estate prices, and infant mortality). Guided activities throughout each module will reinforce your proficiency with data science techniques and analytical approach as a data scientist.

Solidify your understanding of these critical data science concepts and begin your data science portfolio by mastering visualization and modeling. Start this integrative and transformative learning journey today!","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""9363147"", ""4643467"", ""6019937"", ""13723802""]","[""Genevieve M. Lipp"", ""Nick Eubank"", ""Kyle Bradbury"", ""Andrew D. Hilton""]",INTERMEDIATE,Data Visualization and Modeling in Python,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2e/7fc61813bd4576ad3226432f2004b6/iStock_DataSciPy-Course-5-logo.jpg,"[""en""]","[""swWpmhVcEey_Rg56uyDEpw""]",python-data-modeling,[],"4 weeks of study, 4-6 hours/week",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",D2HutVIzEe6MRw5v85QxTw,v2.ondemand,"Learn the foundations of data science by exploring, transforming, and visualizing data with R. In this course, you’ll develop core skills in exploratory data analysis and statistical thinking including: using visualizations to uncover patterns, identifying trends, and generating insights.

You’ll gain hands-on experience with Tidyverse packages in R, work in RStudio, and create reproducible reports with Quarto. Along the way, you’ll also learn version control practices with Git and GitHub to document and share your work.

By the end of this course, you’ll be able to transform and summarize data, craft clear and informative graphics, and communicate your findings through professional, reproducible workflows - laying the groundwork for all your future data science projects.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""1549355"", ""127290745""]","[""Mine Çetinkaya-Rundel"", ""Dr. Elijah Meyer""]",BEGINNER,Data Visualization and Transformation with R,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4a/91da348b834c0fb1c871ac3363be2f/C1-Logo_Final.png,"[""en""]","[""child~B1zSm5WnSXqa-7ah5yV8_Q""]",data-visualization-transformation-r,[],,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",z0l0dZwUEe2a0hItqNBhjQ,v2.ondemand,"This Duke Divinity+  course is for all those who seek to cultivate their interior lives and to develop a way of thinking about ethics inspired by Christian tradition. 

In this course, renowned theologian Stanley Hauerwas reflects on the significance of specific virtues for understanding what it means to be a Christian. He examines the meaning and significance of four key virtues—kindness, hope, humility, and generosity—and their importance to living a good life. 

Further, you will consider the practical aspects of living a virtuous life. We will discuss the challenges to living the virtues, and examine how they can be cultivated by incorporating contemplative practices in your everyday life. 

Week 1 draws on baptism as our initiation into a new story and way of being in the world. In Week 1, you will explore the virtue of kindness through the character of God, reflected in how we treat ourselves and others. Week 2 focuses on hope. In Week 3, you will explore the virtue of humility, and reflecting on the paradox that trying to be humble often ends in pride. Finally, Week 4 closes with an exploration of generosity, demonstrating how different virtues reveal the God who is unrelentingly generous.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}]","[""145780229""]","[""Stanley Hauerwas""]",BEGINNER,Christian Virtues for Spiritual Growth,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d1/406208e374434d8282859a8cd60856/Virtues_1200x1200.png,"[""en""]","[""QsmN1Jv_Qxan25B61P0d5A""]",christian-theology-virtues,[],"4 weeks of study, 1.5 hours/week",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",P71s724mEeaWZAqzz79ZVw,v2.ondemand,"How can we create nano-structures that are 10,000 times smaller than the diameter of a human hair? How can we “see” at the nano-scale?   Through instruction and lab demonstrations, in this course you will obtain a rich understanding of the capabilities of nanotechnology tools, and how to use this equipment for nano-scale fabrication and characterization.  The nanoscale is the next frontier of the Maker culture, where designs become reality.  To become a Nanotechnology Maker pioneer, we will introduce you to the practical knowledge, skills, and tools that can turn your nanotechnology ideas into physical form and that enable you to image objects at the nano-scale. 

This course has been developed by faculty and staff experts in nano-fabrication, electron beam microscopy, and nano-characterization through the Research Triangle Nanotechnology Network (RTNN).  The RTNN offers training and use of the tools demonstrated in this course to schools  and industry through the United States National Nanotechnology Coordinated Infrastructure program.  The tools demonstrated in this course are available to the public through the RTNN.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""electrical-engineering""}, {""subdomainId"": ""chemistry"", ""domainId"": ""physical-science-and-engineering""}]","[""1167229"", ""7320131"", ""22530482"", ""21935394""]","[""Nan M. Jokerst"", ""Carrie Donley"", ""James Cahoon"", ""Jacob Jones""]",,Nanotechnology: A Maker’s Course,"[""7"", ""441"", ""77""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University"", ""North Carolina State University"", ""The University of North Carolina at Chapel Hill""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/69/2250f0396b11e798fa550412696057/icon-for-nanotech.png,"[""en""]",[],nanotechnology,[],,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",O-Izw1tlEfCsFw6FoIz2Lw,v2.ondemand,"What role do virtual musculoskeletal assessments play in patient care? What are the benefits of virtual assessments, and what virtual findings should prompt an in-person evaluation? In this short course, we’ll discuss when it is appropriate to conduct a virtual musculoskeletal assessment as well as tips and tricks to make these visits beneficial to both you and your patients. We’ll build on the clinical knowledge you already possess and give helpful ways to modify your in-person exam skills to have clinical value in the context of a telehealth visit. 

This course will begin by discussing a general musculoskeletal functional assessment before diving deeper into both upper and lower extremity joint assessment. We’ll discuss how you can properly coach patients to perform the proper maneuvers for joint assessment.

No matter if you’re experienced in the field or a healthcare student interested in musculoskeletal assessment, this course introduces you to virtual physical assessments. By taking this course, you can contribute to broadening access to musculoskeletal healthcare.  No previous telehealth or specific technology experience is required, though familiarity with physical assessments is assumed.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}]","[""27579262"", ""187718801""]","[""Daniel Ostrovsky "", ""Kathleen Waite""]",BEGINNER,Telehealth: Musculoskeletal Assessment,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bc/67224ff40147bfa2cffbd3e1c3529b/C3_Musculoskeletal.png,"[""en""]","[""Y42uL6NETMy53d1pAHDUTQ""]",telehealth-musculoskeletal-assessment,[],"1 weeks of study, 1 hour/week",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",IisQcnoEEe-cBRK_mZB3Bw,v2.ondemand,"In this course, you will explore how to develop agile business strategies focused on delivering value to customers in dynamic markets. You will learn techniques to foster customer-driven innovation, incorporating customer insights into strategic decisions and product development. Additionally, the course will focus on creating customer-centric organizations that are agile, responsive, and capable of evolving with market needs.

This course is perfect for leaders and product managers looking to improve customer engagement through innovation. No prior experience in customer strategy is needed, though a background in business leadership will be beneficial.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""166315797""]","[""Duke Corporate Education""]",INTERMEDIATE,Customer-Centric Innovation,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c4/b8f99a70c740d0837c16de90a0a2fe/2.png,"[""en""]","[""qUURXcQTRxiX5_rSF99JtA""]",customer-centric-business-innovation,[],"1 week of study, 1-3 hours",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",LfQtSTS0EfCxwxJQM9bC_Q,v2.ondemand,"How can telehealth expand healthcare access to our patients? What are ways we can leverage telehealth to better help our patients? In this short introductory course, you’ll receive an introduction to telehealth basics geared toward any healthcare professional or student who has patient-facing clinical responsibilities. 

We’ll first begin with how you can set yourself, your team, and your patients up for success by using practical tips to ensure success before, during, and after telehealth video appointments. We’ll then discuss general telehealth assessments, focusing on how to work with your patients to assess their vital signs and cognitive function as well as how you can complete a virtual environmental assessment.

No matter what speciality or stage you’re at in your healthcare professional journey, this course will help you develop practical skills to be applied to your practice. No previous telehealth or specific technology experience is required.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}]","[""27579262"", ""187718801""]","[""Daniel Ostrovsky "", ""Kathleen Waite""]",BEGINNER,Telehealth Clinical Essentials,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a0/bc4df6b9e540c182f69f485dc9e02e/C1_Clinical-Telehealth.jpg,"[""en""]","[""MPRAcS6hS0ixLjGFDB3KMQ"", ""4dq5sYaqQhCXtYRfz53KUw"", ""aBdEGMp8Rn2wzRvwlG9byg"", ""hJC7ScOxSoireW8drnquUg"", ""Y42uL6NETMy53d1pAHDUTQ""]",telehealth-clinical-essentials,[],"1 week of study, 3 hours/week",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",8BJHzZD_EeiKohJBs5wRGA,v2.ondemand,"This course provides a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) and demonstrates how they can solve complex problems in various industries, from medical diagnostics to image recognition to text prediction. Through hands-on practice exercises, you'll implement these data science models on datasets, gaining proficiency in machine learning algorithms with PyTorch, used by leading tech companies like Google and NVIDIA.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""36385260"", ""1805628"", ""50619963"", ""489855""]","[""Lawrence Carin "", ""David Carlson"", ""Timothy Dunn"", ""Kevin Liang""]",INTERMEDIATE,Introduction to Machine Learning,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8f/7afa60cbe911e8a233973e775a70ad/machine-learning-3.png,"[""en""]",[],machine-learning-duke,[],"4 weeks of study, 2-5 hours/week",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",2ssIjbpGEe6jXQ7DOFLcow,v2.ondemand,"In this project, you will learn how to use the Zola static site generator to build and deploy a fast, secure static website. You will install Zola, create a site structure, incorporate themes and templates, customize content and configuration, and deploy the final site to a cloud hosting platform. By the end of the project, you will have hands-on experience building a production-ready site with Zola that can be used for personal or professional use cases.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""74686063""]","[""Noah Gift""]",BEGINNER,Build a Static Website with Rust and Zola,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7c/ea71b1914c4c68887533c6d47cb609/zolo-static-site.png,"[""en""]",[],build-a-static-website-with-rust-and-zola,[],2 hours,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",OPEqsc5iEe65Mwqc6CotZw,v2.ondemand,"In this 2-hour long project-based course, you will learn how to analyze complex HTML structures and identify the relevant data to be extracted using Scrapy and XPath. You will apply the concepts of web scraping, including setting up a Scrapy project, generating spiders, and using XPath queries to extract data from websites that do not provide an API. Additionally, you will evaluate the effectiveness and efficiency of your scraping code, considering factors such as changing webpage structures, scalability, and coding defensively to ensure robustness. The course includes hands-on labs where you will create a spider and parse complex HTML, allowing you to practice and reinforce the concepts learned.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""81359500""]","[""Alfredo Deza""]",INTERMEDIATE,Web Scraping with Python,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c9/660c23c3994b93bbafee01b2c3f12f/Rust-Fundamentals-logo-14-.png,"[""en""]",[],python-web-scraping,[],2,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",RouWDzlzEe-hvAr_8yolJQ,v2.ondemand,"Welcome to Forming Christ-Shaped Leaders. This course is part of the Rediscovering the Heart of Methodism series. Through this series, we hope you will experience a deeper grounding in the distinctive elements of Methodism at its best, and a renewed capacity for hopeful, imaginative participation in the mission of God. 

This course addresses two closely related questions: what does it mean to be a Christ-shaped leader, and how do we become that kind of leader? To develop our answers, we’ll mine the riches of Wesleyan wisdom, Mary’s witness, and Jesus’s teachings. We’ll also consider how calling and trauma inform Christian leadership. These four weeks will provide frameworks to guide our ongoing formation as Christ-shaped leaders who, in turn, encourage that same growth in others.

If you are a pastor or ministry professional in need of Continuing Education Unit (CEU) credits for your professional development, CEU credits are available for this course. Upon successful completion of this course, you can provide your Coursera certificate and the course description to your employer for recognition of earning 0.5 CEUs. Contact divinityonline@duke.edu with any questions regarding CEUs for this course. 

Each of the 5 courses in the Rediscovering the Heart of Methodism specialization is worth 0.5 CEUs, for a total of 2.5 CEUs for completing all of the courses.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}]","[""151645300"", ""150561223""]","[""Jung Choi"", ""Laceye Cammarano Warner""]",BEGINNER,Forming Christ-Shaped Leaders,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cb/2c6873d9e14c0292a9f2fbecba3d44/Christshapedleadersicon.png,"[""en""]","[""pey1oS3_RxuM0xe72m1gqw""]",theology-forming-christ-shaped-leaders,[],"4 weeks of study, 1-2 hours/week",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",a7KgzVHjEfC_fwr_0Upn5w,v2.ondemand,"Climate change will have tremendous impacts on every human community across the globe. However, because of the context of both how climate is changing and how communities are organized and function, it can be disastrous to apply the same solutions across the board. This course will teach you the basic principles needed to identify the dynamics and needs of each community, build on its strengths, and adopt best practices and practical frameworks for adapting climate change solutions to local contexts.
You’ll learn tools and approaches to put these principles into practice across different community settings, regardless of your level of prior experience.

This course is intended for professionals who have been tasked with implementing climate change solutions at the community level, whether in urban or rural areas or in industrialized or developing countries. Upon completion of the course, you will be able to effectively select and adapt climate change solutions to best match the specific social and environmental context of each community, and to engage community members in implementing sustainable solutions that produce positive, equitable outcomes. This course requires no previous knowledge of climate change solutions or of community engagement, and people with this knowledge will also benefit from the course.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""194025479""]","[""Elizabeth Shapiro-Garza ""]",BEGINNER,Community-Based Climate Change Solutions,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3b/04e51705e84b15b77bd1e7e8c42218/Climage-Local-Icon.png,"[""en""]","[""Xm8HkB9zRdWyMhGTVcRKMw""]",climate-change-community-solutions,[],4 weeks of study; 3-4 hours/week,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",GplkvRnqEeW9dA4X94-nLQ,v2.ondemand,"This course is an introduction to how to use relational databases in business analysis.  You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them.  This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts.  You will also learn how to execute the most useful query and table aggregation statements for business analysts, and practice using them with real databases. No more waiting 48 hours for someone else in the company to provide data to you – you will be able to get the data by yourself!

By the end of this course, you will have a clear understanding of how relational databases work, and have a portfolio of queries you can show potential employers. Businesses are collecting increasing amounts of information with the hope that data will yield novel insights into how to improve businesses. Analysts that understand how to access this data – this means you! – will have a strong competitive advantage in this data-smitten business world.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""13723820"", ""12388058""]","[""Daniel Egger"", ""Jana Schaich Borg""]",,Managing Big Data with MySQL,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5e/01dd303cf611e5875b7716e9b84653/CourseraIcons.Square1200.4.jpg,"[""en""]","[""MCZuv0U7EeWLHQ6Y22SN8Q""]",analytics-mysql,[],"5 weeks, 8-12 hours per week",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",oSAFEslDEeWCSBJ1_yk7Tw,v2.ondemand,"This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Can we predict the test score for a child based on certain characteristics of his or her mother? In this course, you will learn the fundamental theory behind linear regression and, through data examples, learn to fit, examine, and utilize regression models to examine relationships between multiple variables, using the free statistical software R and RStudio.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""1549355""]","[""Mine Çetinkaya-Rundel""]",BEGINNER,Linear Regression and Modeling ,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/31/f472a0f4e511e5bd5a676c192d8462/modeling_and_linear_regression.png,"[""en""]","[""child~3D9N7cJJEeyDhgqLSOz_tQ""]",linear-regression-model,[],"4 weeks of study, 5-7 hours/week",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",y8qqAb4zEe6jXQ7DOFLcow,v2.ondemand,"In this 2-hour hands-on course, you will build a web application with FastAPI. You will create routes to handle requests and responses, define request body models with validation, serve dynamic content, and run the API with Uvicorn. You will also leverage FastAPI's interactive OpenAPI docs to test endpoints and generate curl commands. By the end, you will have built and deployed a FastAPI web app using best practices for request handling, response validation, and documentation.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""81359500""]","[""Alfredo Deza""]",INTERMEDIATE,Introduction to FastAPI framework,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/23/b5cbf701d94e52b96202192cc87853/11.png,"[""en""]",[],introduction-to-fastapi-framework,[],2,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",oLkeHnaxEe-zFg7heHyXOQ,v2.ondemand,"In this course, you will learn how to identify and capitalize on transient sources of competitive advantage in today’s fast-paced business environment. You will understand the shift from traditional, sustainable advantages to more dynamic, flexible ones that require agility in decision-making and strategy. Additionally, you will explore how modern leaders can navigate disruptions and leverage innovation to stay ahead of competitors. Real-world examples and practical assessments will help you apply these concepts to your business context.

This course is ideal for managers and business leaders who seek to enhance their strategic thinking and adapt to market changes. A basic understanding of business operations will be helpful, but no prior experience in agility or strategy is required.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""166315797""]","[""Duke Corporate Education""]",INTERMEDIATE,Agile Strategy for Competitive Advantage,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1c/4e12123e58437b882b533ceb88d6e5/5.png,"[""en""]","[""qUURXcQTRxiX5_rSF99JtA""]",agile-strategy-competitive-advantage,[],"1 week of study, 1-3 hours",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",jnoxprrzEeW2iwpbOuagWQ,v2.ondemand,"This course is about how the brain creates our sense of spatial location from a variety of sensory and motor sources, and how this spatial sense in turn shapes our cognitive abilities.

Knowing where things are is effortless.  But “under the hood,” your brain must figure out even the simplest of details about the world around you and your position in it.  Recognizing your mother, finding your phone, going to the grocery store, playing the banjo – these require careful sleuthing and coordination across different sensory and motor domains.  This course traces the brain’s detective work to create this sense of space and argues that the brain’s spatial focus permeates our cognitive abilities, affecting the way we think and remember.

The material in this course is based on a book I've written for a general audience.  The book is called ""Making Space: How the Brain Knows Where Things Are"", and is available from Amazon, Barnes and Noble, or directly from Harvard University Press. 

The course material overlaps with classes on perception or systems neuroscience, and can be taken either before or after such classes.

Dr. Jennifer M. Groh, Ph.D.
Professor
Psychology & Neuroscience; Neurobiology
Duke University
 www.duke.edu/~jmgroh

Jennifer M. Groh is interested in how the brain process spatial information in different sensory systems, and how the brain's spatial codes influence other aspects of cognition.  She is the author of a recent book entitled ""Making Space:  How the Brain Knows Where Things Are"" (Harvard University Press, fall 2014).

Much of her research concerns differences in how the visual and auditory systems encode location, and how vision influences hearing.  Her laboratory has demonstrated that neurons in auditory brain regions are sometimes responsive not just to what we hear but also to what direction we are looking and what visual stimuli we can see.  These surprising findings challenge the prevailing assumption that the brain’s sensory pathways remain separate and distinct from each other at early stages, and suggest a mechanism for such multi-sensory interactions as lip-reading and ventriloquism (the capture of perceived sound location by a plausible nearby visual stimulus).

Dr. Groh has been a professor at Duke University since 2006.  She received her undergraduate degree in biology from Princeton University in 1988 before studying neuroscience at the University of Michigan (Master’s, 1990), the University of Pennsylvania (Ph.D., 1993), and Stanford University (postdoctoral, 1994-1997).  Dr. Groh has been teaching undergraduate classes on the neural basis of perception and memory for over fifteen years.  She is presently a faculty member at the Center for Cognitive Neuroscience and the Duke Institute for Brain Sciences at Duke University.  She also holds appointments in the Departments of Neurobiology and Psychology & Neuroscience at Duke.

Dr. Groh’s research has been supported by a variety of sources including the John S. Guggenheim Foundation, the National Institutes of Health, the National Science Foundation, and the Office of Naval Research Young Investigator Program, the McKnight Endowment Fund for Neuroscience, the John Merck Scholars Program, the EJLB Foundation, the Alfred P. Sloan Foundation, the Whitehall Foundation, and the National Organization for Hearing Research.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}, {""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}]","[""2443158""]","[""Dr. Jennifer M. Groh, Ph.D.""]",BEGINNER,The Brain and Space,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/96/8feec0c05011e5bb8d1741d4288bfa/brain_icon-square.jpg,"[""en""]",[],human-brain,[],,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",vjef5L4zEe633hLyyfBA1Q,v2.ondemand,"In this 2-hour long project-based course, you will learn how to create a basic Flask web application, handle requests with route decorators, return responses, raise errors, and run the app locally for debugging.

You will use Python packaging best-practices and will have a ready-to-use lab where you can practice what you've learned","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""81359500""]","[""Alfredo Deza""]",BEGINNER,Introduction to Flask framework,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/60/844e765713482badc228925c7b7880/10.png,"[""en""]",[],introduction-to-flask-framework,[],2,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",kRKFkH-GEe-Kgw6KyLebPQ,v2.ondemand,"In this course, you will learn how to make strategic decisions quickly and effectively in uncertain and complex environments. You will explore frameworks and tools that enable faster decision-making while maintaining accuracy and confidence. This module will also cover the balance between speed and thoroughness, helping you make high-quality decisions without sacrificing agility.

This course is suited for professionals and leaders who need to enhance their decision-making skills to adapt to fast-moving environments. No prior knowledge of decision frameworks is necessary.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""166315797""]","[""Duke Corporate Education""]",INTERMEDIATE,Agile Decision-Making Frameworks,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/56/f57abd29914fa38e3ea467a22d4c0f/4.png,"[""en""]","[""WUkXJTb_RjiDwv6Xn8PyMQ""]",agile-decision-making-frameworks,[],"1 week of study, 1-3 hours",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",r5impOF4EeWVyArzYsqChQ,v2.ondemand,"In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. We will look at the vast world of digital imaging, from how computers and digital cameras form images to how digital special effects are used in Hollywood movies to how the Mars Rover was able to send photographs across millions of miles of space.
 
The course starts by looking at how the human visual system works and then teaches you about the engineering, mathematics, and computer science that makes digital images work. You will learn the basic algorithms used for adjusting images, explore JPEG and MPEG standards for encoding and compressing video images, and go on to learn about image segmentation, noise removal and filtering. Finally, we will end with image processing techniques used in medicine.
 
This course consists of 7 basic modules and 2 bonus (non-graded) modules. There are optional MATLAB exercises; learners will have access to MATLAB Online for the course duration. Each module is independent, so you can follow your interests.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""729871""]","[""Guillermo Sapiro""]",,Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera.s3.amazonaws.com/topics/images/large-icon.png,"[""en""]",[],image-processing,[],"Each module is split in videos, you can finish a module in a week. Quizzes should take minutes.",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",nhAPFV0cEeiNthLYUFoHkg,v2.ondemand,"Being a successful FinTech firm requires more than just great technology; it also requires an understanding of the laws and regulations applicable to your business. This course will provide you with that understanding. You will learn about the critical legal, regulatory, and policy issues associated with cryptocurrencies, initial coin offerings, online lending, new payments and wealth management technologies, and financial account aggregators.  In addition, you will learn how regulatory agencies in the U.S. are continually adjusting to the emergence of new financial technologies and how one specific agency has proposed a path for FinTech firms to become regulated banks. You will also learn the basics of how banks are regulated in the U.S.

If you are unfamiliar with how these new financial technologies work, fear not. We will begin each new course section with a high-level overview of the underlying technology.  While the course is principally focused on the U.S. FinTech industry, we cannot possibly cover every relevant legal and regulatory issue. Therefore, this course should not be construed as legal advice. Rather, the goal of the course is to familiarize you with the key legal and regulatory challenges FinTech firms in various sectors face, as well as the critical policy debates that are occurring in Washington D.C. and state capitals across the country.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""31625534""]","[""Lee Reiners, CFA""]",BEGINNER,FinTech Law and Policy,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cc/65d300699c11e89dc76918b8ac604d/blue-backgroundBK.png,"[""en""]",[],fintechlawandpolicy,[],,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",2RGeY3RDEeatvg5z1JaMJw,v2.ondemand,"Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time. 

Learners who complete this course will master the vocabulary, notation, concepts, and algebra rules that all data scientists must know before moving on to more advanced material.

Topics include:
~Set theory, including Venn diagrams
~Properties of the real number line
~Interval notation and algebra with inequalities
~Uses for summation and Sigma notation
~Math on the Cartesian (x,y) plane, slope and distance formulas
~Graphing and describing functions and their inverses on the x-y plane,
~The concept of instantaneous rate of change and tangent lines to a curve
~Exponents, logarithms, and the natural log function.
~Probability theory, including Bayes’ theorem.

While this course is intended as a general introduction to the math skills needed for data science, it can be considered a prerequisite for learners interested in the course, ""Mastering Data Analysis in Excel,"" which is part of the Excel to MySQL Data Science Specialization.  Learners who master Data Science Math Skills will be fully prepared for success with the more advanced math concepts introduced in ""Mastering Data Analysis in Excel."" 

Good luck and we hope you enjoy the course!","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""13723820"", ""23311056""]","[""Daniel Egger"", ""Paul Bendich""]",BEGINNER,Data Science Math Skills,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/08/8c6610c07e11e6a7f5e70b413367a6/DMSIcon.jpg,"[""en""]",[],datasciencemathskills,[],"Four weeks, 3-5 hours per week.",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",ETV0lFtwEeeN9RJSuE6_vA,v2.ondemand,"So how does the American political system work? Who are some of the key actors? What are key concepts for a student trying to understand what’s going on? How can I as a citizen influence politics? 

Civic Engagement in American Democracy takes on these and other key questions. We’re Dr. Nicholas Carnes and Dr. Bruce Jentleson, the principal course instructors. Along with our Duke faculty colleagues who also contributed modules, we’ve designed the course to provide a strong foundational introduction to US politics. 

If you’re new to this material, proceed through the modules one by one and build up your knowledge of politics and government. If some of the material is familiar, go ahead and set your own pace. Either way we hope Civic Engagement in American Democracy helps you be an effective student in more advanced politics courses and/or an engaged citizen in 21st century America.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""3279667"", ""29494085"", ""29503070"", ""27303148"", ""29696186"", ""29789062"", ""29842890"", ""29861825""]","[""Dr. Bruce W Jentleson"", ""Deondra Rose, PhD"", ""Kenneth Rogerson"", ""Nicholas Carnes"", ""Philip Bennett"", ""Tana Johnson"", ""Bill Adair "", ""Frederick W. Mayer""]",BEGINNER,Civic Engagement in American Democracy,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a9/f19a40a91511e7a768d7170df22fd3/SanfordSoPP1-crop.jpg,"[""en""]",[],civic-engagement-american-democracy,[],,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",HtKXrXvdEe2afg6uQWXoiw,v2.ondemand,"성공적인 핀테크 기업이 되기 위해서는 혁신적인 기술은 물론 해당 비즈니스에 적용되는 법률 및 규제를 이해해야 합니다. 이번 강좌를 통해 그와 관련된 지식을 얻을 수 있습니다. 먼저 암호화폐, 암호화폐 공모, 온라인 대출, 지급 및 자산 관리 신기술, 금융 계좌 집계소에 관련된 중요한 법률, 규제 및 정책 사안에 대해 알아보겠습니다. 아울러 미국 규제 기관들이 금융 신기술의 등장에 어떻게 적응을 지속해 나가는지 알아보고, 한 특정 기관이 핀테크 기업이 제도권 은행이 될 수 있도록 하기 위해 제시한 방안을 살펴보겠습니다. 또한 미국의 은행 규제에 대한 기본 사항도 살펴보겠습니다. 

이러한 신기술이 낯설게 느껴지더라도 걱정하실 필요는 없습니다. 근간이 되는 기술에 대한 높은 수준의 개요로 매 강좌 섹션을 시작할 것이기 때문입니다. 본 강좌는 주로 미국 내 핀테크 산업에 초점을 두고 있지만 모든 관련 법률 및 규제 사안을 다룰 수는 없습니다. 따라서 본 강좌를 법률적 조언으로 받아들여서는 안 됩니다.본 강좌는 핀테크 기업들이 다양한 부문에서 직면하게 되는 핵심적인 법률 및 규제 사안과 워싱턴 D.C. 및 전국 주도에서 진행 중인 중요한 정책 토론에 대해 알아보는 것을 목표로 합니다.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""31625534""]","[""Lee Reiners, CFA""]",BEGINNER,핀테크 법률 및 정책,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cc/65d300699c11e89dc76918b8ac604d/blue-backgroundBK.png,"[""ko""]",[],fintechlawandpolicy-ko,[],,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",dpVeX-X2Ee6s9Qr_2Qjvdw,v2.ondemand,"This comprehensive course equips you with skills to leverage Azure for building and deploying Large Language Model (LLM) applications. Learn to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. Explore architectural patterns like Retrieval-Augmented Generation (RAG) and Azure services like Azure Search for robust applications. Gain insights into streamlining deployments with GitHub Actions. Apply your knowledge by implementing RAG with Azure Search, creating GitHub Actions workflows, and deploying end-to-end LLM applications. Develop a deep understanding of Azure's ecosystem for LLM solutions, from model deployment to architectural patterns and deployment pipelines.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""74686063"", ""81359500""]","[""Noah Gift"", ""Alfredo Deza""]",INTERMEDIATE,End to End LLMs with Azure,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bd/8a181bd8a64902b7dcbacc1dfcee9a/Rust-Fundamentals-logo-18-.png,"[""en""]",[],azure-llm-large-language-models,[],4 hours,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",HVjlxtHlEea6rA7xa5ZVSg,v2.ondemand,"Chimpanzees are one of our closest living relatives, yet almost nothing was known about their behavior in the wild until Jane Goodall started her groundbreaking study of the chimpanzees of Gombe, Tanzania in 1960. This study continues today, following the same chimpanzee families that Jane Goodall first encountered over 55 years ago. Guided by three course instructors who have lived and worked with the Gombe chimpanzees, you will learn how Goodall’s early discoveries changed our view of human uniqueness. By completing the course, you will gain a new appreciation of the deep similarities between chimpanzees and humans in intelligence, tool use, hunting, personality and social relationships, as well as some key differences. You will learn how chimpanzees interact with their environment and how their behavior is influenced by ecology, as well as the severe conservation challenges they face today. And you will employ your new knowledge of chimpanzees to construct a persuasive argument for their protection. This course is open to everyone interested in learning more about these fascinating and complex beings. Knowledge of high-school level biology is beneficial but not required. Please keep in mind, however, that the content of this course will cover all aspects of chimpanzee life, including scientific discussion of sexual and aggressive behaviors.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}]","[""1371143"", ""35497072"", ""35639741""]","[""Emily Boehm"", ""Anne Pusey"", ""Kara Walker""]",BEGINNER,Chimpanzee Behavior and Conservation,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/50/59f3e0758611e89f18d73a3cea660f/Echo-Emela-10-A_.jpg,"[""en""]",[],chimp,[],,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",9eK5p86GEe65Mwqc6CotZw,v2.ondemand,"In this 1-hour hands-on Python programming project, you will learn how to use decorators to modify behaviors of functions without changing the source code. You’ll study common use cases like timing, logging, caching and more. By the end, you’ll be able to transparently add features to functions using custom decorators.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""74686063""]","[""Noah Gift""]",BEGINNER,Python Decorator Functions,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9b/5920df3b694168bea583d86b4cd461/coursera-decorators.jpg,"[""en""]",[],python-decorator-functions,[],1 hour,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",ZzjFzjUhEe2fgRKcLe05yw,v2.ondemand,"How can drones be used for good in environmental science? What types of data can scientists collect, and how should they go about collecting it using drones? Why should someone integrate drones into their existing career or pursue this field? 

This Duke Environment+ course serves as an introduction for anyone interested in learning more about drone use in the environmental sciences. No background knowledge in drones is assumed or necessary. 

Over the course of four weeks, you will discover the basics of drone use in the environmental sciences, including specific benefits of using drones for scientific research; types of drones and how they are used for different purposes and missions; and best research practices, including legal and ethical concerns. The final week of the course will help you get started on exploring different career paths that involve drones by introducing you to professionals working with this technology in the environmental sciences. 

By the end of the course, you should be better equipped to consider how to use drones for your own research interests, and you will be better prepared for the more in-depth Environment+ course sequence UAS Applicants and Operations in Environmental Science, should you decide to continue your studies.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""research-methods""}]","[""3096030""]","[""Dr.  David W. Johnston""]",BEGINNER,Drones for Environmental Science,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/83/817849cd6b49cd93947658d5d0a0af/CourseraBlock1200.png,"[""en""]",[],drones-for-environmental-science,[],4 weeks of study/2-4 hours per week,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",1YS0S2hFEe6hCg7OeXs1Cw,v2.ondemand,"By the end of this course, a learner will master Databricks to perform data engineering and data analytics tasks for data science workflows.  Additionally, a student will learn to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""74686063"", ""81359500"", ""43945828""]","[""Noah Gift"", ""Alfredo Deza"", ""Derek Wales""]",BEGINNER,Databricks to Local LLMs,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f2/105551e7e44d768bf7e1995d8fd159/Rust-Fundamentals-logo-6-.png,"[""en""]","[""ECems8yBSlmx2nVMOHbysg""]",databricks-to-local-llms,[],5 hours a work a week of study for a total of 20 hours,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",ifuTZHuEEe-glQr_1x19Iw,v2.ondemand,"In this course, you will learn how digital technologies are reshaping industries and creating new opportunities for agile organizations. You will explore the role of digital transformation in enhancing operational efficiency, driving innovation, and creating new business models. Through case studies, you’ll see how leading organizations have successfully leveraged technology to stay agile and competitive.

This course is ideal for leaders seeking to harness the power of digital tools to create more adaptive and innovative organizations. Basic familiarity with digital trends will be helpful but is not required.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""166315797""]","[""Duke Corporate Education""]",INTERMEDIATE,Digital Transformation for Agile Organizations,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/35/1864e0c56c4c4ebcb1c966feffc05e/3.png,"[""en""]","[""qUURXcQTRxiX5_rSF99JtA""]",digital-transformation-agile-organizations,[],"1 week of study, 1-3 hours",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",eVrrS8E_EeWP5g5dlaZx4w,v2.ondemand,"Learners will be introduced to the problems that vision faces, using perception as a guide. The course will consider how what we see is generated by the visual system, what the central problem for vision is, and what visual perception indicates about how the brain works. The evidence will be drawn from neuroscience, psychology, the history of vision science and what philosophy has contributed. Although the discussions will be informed by visual system anatomy and physiology, the focus is on perception. We see the physical world in a strange way, and goal is to understand why.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}]","[""5974409""]","[""Dale Purves""]",,Visual Perception and the Brain,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/45/a07cf0c43311e5ac05adeb085a17df/vispercep_icon-1-26.jpg,"[""en""]",[],visual-perception,[],,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",-Eu38u08EeSKeyIACwQXPg,v2.ondemand,"Dog Emotion and Cognition will introduce you to the exciting new study of dog psychology, what the latest discoveries tell us about how dogs think and feel about us, and how we can use this new knowledge to further strengthen our relationship with our best friends.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""animal-health""}]","[""7490839""]","[""Brian Hare""]",,Dog Emotion and Cognition,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6a/512570cd7811e49b4cb76fa1d10fb6/French-Bulldog.jpg,"[""en""]",[],dog-emotion-and-cognition,[],10-15 hours of lectures and assessments,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",Rc8uxefpEeWZBxJGkjV53w,v2.ondemand,"This course is designed for beginners and those with some programming experience in either Python or Rust that want to implement automation and utilities in the command-line. Although no prior knowledge of Python or Rust is required, basic programming knowledge is recommended as well as some familiarity with the command-line interface (CLI). Throughout the course, you will gain a solid foundation for building efficient, reliable, and high-performance command-line tools that can help you automate tasks for data engineering, systems engineering, and DevOps. By completing this course, you will have the skills to develop and distribute sophisticated and efficient command-line tools.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""74686063"", ""81359500""]","[""Noah Gift"", ""Alfredo Deza""]",INTERMEDIATE,Python and Rust with Linux Command Line Tools,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fe/59183a65ea41ce89e46d592cd7463b/Rust-Fundamentals-logo-1-.png,"[""en""]","[""BzDQX96ZR1mHCic3uw6pSw""]",python-rust-linux,[],"5 weeks,  5 hours/week",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",96FcmDl8Ee-9Ig7qA4dB5w,v2.ondemand,"Build confidence working with messy, real-world data. In this course, you’ll learn how to import, clean, and organize data in R so that it’s ready for analysis, visualization, or modeling.

Using dplyr, tidyr, and other Tidyverse tools, you’ll practice joining datasets, reshaping data, and creating efficient data pipelines that support reproducible work. You’ll also explore how to responsibly collect and scrape data from online sources, including ethical and legal considerations.

By the end of this course, you’ll know how to transform raw datasets into structured, tidy formats and you’ll understand how responsible data handling and documentation are essential to high-quality, ethical data science.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""127290745"", ""1549355""]","[""Dr. Elijah Meyer"", ""Mine Çetinkaya-Rundel""]",BEGINNER,Data Tidying and Importing with R,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bf/0edfaf429e47eda96e9892677ece78/C2-Logo._Final.png,"[""en""]","[""child~B1zSm5WnSXqa-7ah5yV8_Q""]",data-tidying-importing-r,[],"3 weeks of study, 2-4 hours/week",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",25trttO0Eei47RIrue0xzg,v2.ondemand,"How do different types of investors think about an investment opportunity? What kind of securities and contracts do they offer? How should a company decide what is a ""good deal""? This course is designed to introduce you to the challenges and pitfalls of financing new enterprises. You will learn the basic tools for valuating companies, including using discounted cashflow analysis in Excel and understanding how to apply this model to your entrepreneurial venture. You will then learn how valuation works with different types of securities that investors use to finance startups, from bank loans to venture capital to angel investing.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""16034955"", ""46361139""]","[""Manuel Adelino"", ""David Robinson""]",INTERMEDIATE,Startup Valuation Methods,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/80/f0daa3c3784e0592cf929d25c4ee1b/Entrepreneurial-Finance-.jpg,"[""en""]","[""Bg9CLdOzEeiaVA54gOVKZA""]",startup-valuation-methods,[],,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",23ktW204Eeu__hKCAZP3Iw,v2.ondemand,"Welcome to the fourth course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will build upon the Cloud computing and data engineering concepts introduced in the first three courses to apply Machine Learning Engineering to real-world projects. First, you will develop Machine Learning Engineering applications and use software development best practices to create Machine Learning Engineering applications. Then, you will learn to use AutoML to solve problems more efficiently than traditional machine learning approaches alone. Finally, you will dive into emerging topics in Machine Learning including MLOps, Edge Machine Learning and AI APIs. 

This course is ideal for beginners as well as intermediate students interested in applying Cloud computing to data science, machine learning and data engineering. Students should have beginner level Linux and intermediate level Python skills. For your project in this course, you will build a Flask web application that serves out Machine Learning predictions.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""74686063""]","[""Noah Gift""]",INTERMEDIATE,Cloud Machine Learning Engineering and MLOps,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ec/93c8cd0239462b96a7f14787444925/mleng.png,"[""en""]","[""QroLL3-XEeu17gr5PLNEuQ""]",cloud-machine-learning-engineering-mlops-duke,[],"3 weeks of study, 3-5 hours/week",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",VIUTXB0IEea20BJooCBlFw,v2.ondemand,"In this course, you will learn what an argument is. The definition of argument will enable you to identify when speakers are giving arguments and when they are not. Next, you will learn how to break an argument into its essential parts, how to put them in order to reveal their connections, and how to fill in gaps in an argument by adding suppressed premises. By the end of this course, you will be better able to understand and appreciate arguments that you and other people present.


Suggested Readings:
Students who want more detailed explanations or additional exercises or who want to explore these topics in more depth should consult Understanding Arguments: An Introduction to Informal Logic, Ninth Edition, Concise, Chapters 1-5, by Walter Sinnott-Armstrong and Robert Fogelin.

Course Format:
Each week will be divided into multiple video segments that can be viewed separately or in groups. There will be short ungraded quizzes after each segment (to check comprehension) and a longer graded quiz at the end of the course.","[{""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""932346"", ""935146""]","[""Dr. Walter  Sinnott-Armstrong"", ""Dr. Ram  Neta""]",BEGINNER,Think Again I: How to Understand Arguments,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera.s3.amazonaws.com/topics/thinkagain/large-icon.png,"[""en""]","[""iPBXp_z5Eeqz3w61PTGlHw""]",understanding-arguments,[],,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",IpUTjfnpEealaBJvc-7qqA,v2.ondemand,"The third course in the specialization Introduction to Programming in C introduces the programming constructs pointers, arrays, and recursion. Pointers provide control and flexibility when programming in C by giving you a way to refer to the location of other data. Arrays provide a way to bundle data by guaranteeing sequences of data are grouped together. Finally, recursive functions—functions that call themselves—provide an alternative to iteration that are very useful for implementing certain algorithms.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""13723802"", ""4009745"", ""9363147""]","[""Andrew D. Hilton"", ""Anne Bracy"", ""Genevieve M. Lipp""]",BEGINNER,"Pointers, Arrays, and Recursion","[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cb/6b7470ad5211e7acce8197c96e7c41/C3-square.jpg,"[""en""]","[""2mb84fnoEealcA6o860tEA""]",pointers-arrays-recursion,[],"4 weeks of study, 6–8 hours/week",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",cdBWwMNwEeS3kiIACx2NTg,v2.ondemand,在本课程中，学生将学习认识和应用说明人体九个器官系统中整体人体机能（作为完整有机体）的基本概念。,"[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}]","[""868977"", ""920567""]","[""Jennifer Carbrey"", ""Emma Jakoi""]",,人体生理学导论（中文版）,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera.s3.amazonaws.com/topics/humanphysio/large-icon.png,"[""zh-CN""]",[],sheng-li-xue,[],视频和测验共22小时,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",ucUCfXxiEe-TXBKiYHviCw,v2.ondemand,"In this course, you will learn how to build and utilize agile dashboards that provide real-time insights into your organization’s performance. You will explore key performance metrics, financial levers, and tools that can help leaders quickly assess their business’s health and make informed decisions to maintain agility. The agile dashboard is a critical tool for leaders who need to drive quick, informed decision-making in an ever-changing business environment.

This course is suitable for managers and leaders looking to enhance their decision-making capabilities through agile data-driven tools. No prior experience with dashboards or data science is required.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""166315797""]","[""Duke Corporate Education""]",INTERMEDIATE,Agile Dashboards for Data-Driven Decision-Making,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/49/75d45603d84171a84fdce074f77b93/6.png,"[""en""]","[""WUkXJTb_RjiDwv6Xn8PyMQ""]",agile-dashboards-data-driven-decision-making,[],"1 week of study, 1-3 hours",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",f8wh4qQ-EeWF3A6Yvo0Lpw,v2.ondemand,"You will gain a foundation for college-level writing valuable for nearly any field. Students will learn how to read carefully, write effective arguments, understand the writing process, engage with others' ideas, cite accurately, and craft powerful prose. 

Course Learning Objectives
•	Summarize, analyze, question, and evaluate written and visual texts
•	Argue and support a position
•	Recognize audience and disciplinary expectations
•	Identify and use the stages of the writing process
•	Identify characteristics of effective prose
•	Apply proper citation practices
•	Discuss applying your writing knowledge to other writing occasions","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}, {""domainId"": ""language-learning"", ""subdomainId"": ""learning-english""}]","[""1462466""]","[""Dr. Denise Comer""]",BEGINNER,English Composition I,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/24/3061bb92f2ab2bd892dbf6665dfefd/wordlemap.jpeg,"[""en""]",[],english-composition,[],,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",ZRmM31NpEfCW8Q55q1kSNQ,v2.ondemand,"How can you leverage your own telehealth skills to work with other health professionals as a team? What does your interprofessional health team need to provide your patients with efficient and effective virtual care? In this short course, we’ll build on telehealth essentials to discuss the basics of collaborating with others to form interprofessional telehealth teams.

We’ll start by discussing the basics of team-based telehealth and how implementing these visits can benefit you and your patients. You’ll explore an example team-based visit and hear from providers who are implementing interprofessional telehealth models. By the end of the course, you’ll learn about necessary skills your team needs to develop: a team workflow, communication, and leveraging team members’ individual strengths. 

Learn how telehealth teams can solve issues related to limited physical clinic space and break down patient barriers to care. No matter what speciality or stage you’re at in your healthcare professional journey, this course will help you develop practical skills to be applied to your practice. No previous telehealth or specific technology experience is required.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}]","[""27579262"", ""187718801""]","[""Daniel Ostrovsky "", ""Kathleen Waite""]",BEGINNER,Telehealth: Interprofessional Team-Based Care,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9e/70374cad334530bfec88a7c48010af/C2_Concepts-of-Interprofessional-Care-Management.png,"[""en""]","[""MPRAcS6hS0ixLjGFDB3KMQ"", ""4dq5sYaqQhCXtYRfz53KUw"", ""aBdEGMp8Rn2wzRvwlG9byg"", ""hJC7ScOxSoireW8drnquUg"", ""Y42uL6NETMy53d1pAHDUTQ""]",telehealth-interprofessional-team,[],"1 weeks of study, 3 hours/week",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",ifD-vNG7EeW_sQqlOUlMew,v2.ondemand,"This course examines the relation of advertising to society, culture, history, and the economy.  Using contemporary theories about visual communications, we learn to analyze the complex levels of meaning in both print advertisements and television commercials.

About the Course

The course covers a wide range of topics, including the origins of advertising, the creation of ads, the interpretation of ads, the depiction of race, class, gender, and sexuality in advertising, sex and selling, adverting and ethics, and the future of advertising. The lectures will discuss theoretical frameworks and apply them to specific advertisements.

Course Syllabus

Week 1: What is advertising and where did it come from?

Week 2: Am I being manipulated by advertising?

Week 3: What’s in an ad beyond that which meets the eye?

Week 4: How do ads get made?

Week 5: What do ads teach us about race, class, gender, and sexuality?

Week 6: Does sex sell?

Week 7: What is the future of advertising?

Recommended Background

No background is required; everyone is welcome!

Suggested Readings

Although the lectures are designed to be self-contained, we recommend that students refer to the free online textbook ADTextOnline.org. Other free resources will be suggested for each week’s module.

Course Format

Most videos will be lectures with instructor talking. Each lecture will be illustrated with PowerPoint slides, print advertisements, and TV commercials. The videos for each week will consist of segments that add up to about an hour. Each week will have one quiz that will appear as stand-alone homework. All resources beyond lectures will be available online to students at no charge. Most of these will be from ADTextOnline.org. Others will be visits to the sites of ad agencies in the US and abroad, open access websites that deal with course topics, and open-access journal articles.","[{""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}, {""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""5275483""]","[""Professor William M. O'Barr""]",,Advertising and Society,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/38/a74a508a3b11e69e0e839c3f4044cc/AdSoc_AEF_ANA-1200x1200.jpg,"[""en""]",[],role-of-advertising,[],,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",C24eL_k8EeiCgwrLzqsd3g,v2.ondemand,"في هذه الدورة التدريبية، ستتعلم أفضل الممارسات لكيفية استخدام تحليلات البيانات لتجعل أي شركة لها قدرة أكبر على التنافس والربح. سيمكنك التعرف على أهم مقاييس الأعمال وتمييزها عن البيانات العادية.
 
وستكون لديك صورة واضحة عن الأدوار الحيوية المختلفة التي يضطلع بها كل من محللي الأعمال، ومحللي بيانات الأعمال، وعلماء البيانات في مختلف أنواع الشركات. وستعرف بالضبط أي المهارات مطلوبة للتوظيف في هذه الأعمال التي يرتفع الطلب عليها والنجاح فيها.
 
وفي النهاية، سيمكنك الاستعانة بالقائمة المرجعية التي توفرها الدورة التدريبية؛ لتقييم أي شركة بناءً على كيفية تبنّيها لثقافة البيانات الضخمة بفعاليّة. تُحدث الشركات الرقمية مثل Amazon، وUber، وAirbnb تحوّلًا في الصناعات بالكامل من خلال استخدامها الإبداعي للبيانات الضخمة.. وستدرك لِمَ تكون هذه الشركات معرقلة للغاية، وكيفية استخدامها لتقنيات تحليل البيانات؛ لكي تتفوق في قدرتها التنافسية على الشركات التقليدية.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""13723820"", ""12388058""]","[""Daniel Egger"", ""Jana Schaich Borg""]",,مقاييس الأعمال للشركات التي تعتمد على البيانات,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/81/d0d2a03d5c11e5949cf1f925f5447f/logo.jpg,"[""ar""]",[],analytics-business-metrics-ar,[],4 أسابيع، 3-5 ساعات في الأسبوع,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",SIYy57jTEfCd_gr_x0Ba_w,v2.ondemand,"Work smarter, not harder, with AI This course will teach you, a working professional, how to boost your workflows with AI. You’ll learn how to identify, evaluate, and apply cutting-edge AI tools to streamline your daily tasks. Through case studies and discussions, you will analyze, apply, and get ready to create using tools such as ChatGPT, Copilot, Gemini, Notion,  DALL·E, and Adobe Firefly, while learning to integrate AI responsibly into your professional routine.

In Week 1, you’ll explore how to use AI writing assistants to draft, summarize, and refine communication. In Week 2, you’ll discover how to optimize AI for your planning, scheduling, and administrative needs, using Copilot and ChatGPT. In Week 3, you’ll learn how AI tools like Gemini and Insight can illuminate the insights in your information by organizing your notes or assisting with data-driven analysis. Finally, in Week 4, you’ll discover how to responsibly use AI to conduct ethical research and generate multimedia content using tools like Research Rabbit, Consensus, Stable Diffusion, Synthesia, and Runway. By the end of this course, you’ll be able to identify key AI use cases, compare tools that enhance productivity, and build AI-driven workflows that save time, spark innovation, and let you focus on meaningful, high-impact work.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""121530481""]","[""Ashley Smith""]",BEGINNER,AI for Productivity,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fb/7d91df7fe14f42b33ccf36f11e9aae/icon.jpg,"[""en""]",[],ai-productivity-chatgpt,[],1 hour/4 weeks,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",Vl33l3YNEealBw7zEbSgBw,v2.ondemand,"Este curso es para activistas, artistas y pensadores que deseen entender mejor el cambio social y participar en él. El contenido del curso enfoca en la coincidencia prolífica y emocionante entre el arte socialmente comprometido y prácticas culturales generadas por recientes movimientos sociales en todo el mundo. Más que evaluar la eficacia política de actividades como el luto, la escucha, la organización, el baile, o la fiesta, las conferencias examinan tales actividades culturales al lado y dentro de la práctica artística contemporánea. 

El curso incluye presentaciones de importantes artistas, activistas y académicos invitados como: Rebecca Gomperts, Chido GoVera, Gulf Labor, Hans Haacke, Sharon Hayes, Jolene Rickard, Gregory Sholette, Joshua Wong, y muchos más. Diseñado por el artista y profesor de Duke, Pedro Lasch, e impartido con el director artístico de Creative Time, Nato Thompson, este curso invita a todos los que participan en él a tratar el MOOC en sí mismo como una forma social y artística. Esto sucede sobre todo a través de los componentes prácticos, proyectos producidos localmente, intercambios mundiales, y el comentario crítico.

No se requiere experiencia previa con el arte o el activismo, aunque los proyectos también incluyen buenas opciones para alumnos avanzados.

Para otros cursos en esta serie o versiones en otros idiomas , solo busca 'ART of the MOOC' en el catálogo de Coursera","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""14971596"", ""10670344""]","[""Nato Thompson"", ""Pedro Lasch""]",,ART of the MOOC: Activismo y Movimientos Sociales,"[""7"", ""304""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University"", ""Creative Time ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b3/6e0d807aa711e6840b47750c5c93ee/ARToftheMOOC_II_Coursera_LPage_Image_Final_Esp_900-1200_.jpg,"[""es""]",[],activismo-movimientos-sociales,[],,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",FI34IFAyEe-mywr_6bZvLw,v2.ondemand,"Develop the ethical mindset every data scientist needs. In this course, you’ll examine the real-world implications of how data are collected, analyzed, and presented and the role of ethics in ensuring fairness, transparency, and trust.

Through examples and case studies, you’ll learn to recognize misrepresentation in visualizations, algorithmic bias in models, and privacy risks in data collection. You’ll also explore strategies for mitigating these challenges and communicating results responsibly.

By the end of this course, you’ll be able to identify ethical risks, apply frameworks for responsible data use, and make informed choices that uphold integrity in your analyses.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""1549355"", ""127290745""]","[""Mine Çetinkaya-Rundel"", ""Dr. Elijah Meyer""]",BEGINNER,Data Science Ethics with R,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/54/9b2cc6fc084504936a61d212dfdda0/C3-Icon_Final.png,"[""en""]","[""child~B1zSm5WnSXqa-7ah5yV8_Q""]",data-science-ethics-r,[],,z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert"", ""Specialization""]",KgmVuCrTEeyxgAr51Gjbpw,v2.ondemand,"DeFi and the Future of Finance is a set of four courses that focus on decentralized finance. The third course is called DeFi Deep Dive. It is essential that you do the first two courses I. DeFi Infrastructure and II. DeFi Primitives before doing this course. It is the longest of the four courses and focuses on some of the leading protocols in the DeFi space. We will look at Credit and Lending (and feature MakerDAO, Compound and Aave), Decentralized Exchange with an analysis of how protocols like Uniswap and Balancer works, Derivatives (featuring Yield Protocol, dYdX and Synthetix) and Tokenization with an analysis of Set Protocol as well as wrapped bitcoin. For many of these leading protocols, we include detailed examples of how the mechanics work. For example, we show how to use a dYdX flash swap to execute an arbitrage transaction (take advantage of different prices on different exchanges for the same asset).","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""security"", ""domainId"": ""information-technology""}]","[""46121307""]","[""Campbell R. Harvey""]",INTERMEDIATE,Decentralized Finance (DeFi) Deep Dive,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/af/ce0503b7694283a7f2e0094d3dd5c2/DeFi.png,"[""en""]","[""2n4hFAnMEeyonwp6saxccQ""]",decentralized-finance-deep-dive-duke,[],"4 weeks of study, 2-3 hours/week",z69SEizyh8N4Oxt45,XUcwN1rxzS7eN6rz9
[],"[""VerifiedCert""]",_4RT9bYTEe6jXQ7DOFLcow,v2.ondemand,"In this course, you will learn about the role and importance of civil registration and vital statistics (CRVS) systems that are used to track birth, death, and life events. Experts from around the world will explain what CRVS systems are, how they are used, the legal bases for registering vital events, and challenges experienced with CRVS systems. You will learn about how CRVS data can be used to inform population-level decision-making, including around specific methods such as medical certification of cause of death (MCCOD) and verbal autopsy, and the application of a gender and equity lens to data systems to ensure they are responsive to the needs of populations. Our overarching goals for the course are to support the collection of country-level death and birth data, to improve the use of data to inform policy priorities, track trends, and plan interventions, and enhance monitoring of major risk factors for early death, especially from noncommunicable diseases. 

The course is the result of a collaboration among multiple partners, including Vital Strategies, the Centers for Disease Control and Prevention (CDC), the CDC Foundation, the Johns Hopkins Bloomberg School of Public Health, Global Health Advocacy Incubator, and University of New South Wales, Sydney. This course was funded by Bloomberg Philanthropies, with co-funding from the Australian government and Bill and Melinda Gates Foundation.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""research""}]","[""142930984"", ""42482788"", ""1091689""]","[""Michelle Colder Carras"", ""shivani pandya"", ""Smisha Agarwal""]",BEGINNER,Civil Registration & Vital Statistics in Population Health,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fc/08176218fb42319bfad955a843092a/MOOC_D4H-Civil-Registration-and-Vital-Statistics-CourseImageFinal.png,"[""en""]",[],crvsforpopulationhealth,[],"2 weeks of study, 2-3 hours/week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],[],S-GWCuBzEe6cPA6HK-YxMQ,v2.ondemand,"Motor vehicle traffic deaths affect indigenous communities at a disproportionate rate as compared to the overall United States population. For children and youth ages 0-19, motor vehicle traffic death rates among American Indian and Alaska Native children and youths are up to 8 times higher than those of other racial and ethnic groups. This is often due to structural barriers in tribal communities such as lack of lighting, potholes, cattle, etc. This course dives specifically into the effectiveness of taking a Safe Systems approach to road safety in tribal communities.

Perspectives from Safe Systems experts and tribal partners on safe systems approaches to road safety are highlighted as examples from specific communities. The course provides historical context to road safety and specific considerations for roads in tribal nations. Next, the course focuses on how to intervene to create a safe system in communities. In addition, this course will prepare you with information on how to apply for an SS4A grant, with examples from specific communities who have successfully obtained the grant. Throughout the course, resources are provided with tools on how to  apply for SS4A grant and how to implement a safe systems approach.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""151907350"", ""156738309""]","[""Jeffrey Michael, EdD"", ""Holly Billie, MPH""]",,Road Safety & Indigenous Communities: Safe Systems Approach,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7c/92cadb126d4ca1a5e7a50baa6703b6/Final_square.png,"[""en""]",[],road-safety--indigenous-communities-safe-systems-approach,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",tNI8Ov06Eeyt8Q7irWwuzw,v2.ondemand,"This is the fourth course in the specialization and is aimed at those with basic knowledge of statistics, probability and linear algebra.  It will prove to be especially interesting for those with datasets that are being used to make decisions: either business, medical, or technology based.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""4027040""]","[""Thomas Woolf""]",INTERMEDIATE,Data Science Decisions in Time: Using Causal Information,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/95/fab46a5129457b9306c4d3e7ff1369/Placeholder_Making_Decisions_in_Time.png,"[""en""]","[""m2H5mzjsEe2V7A6dC9qHTw""]",data-science-decisions-in-time-using-causal-information,[],3-5 hours/week,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert""]",gFgfWyO6EeuYSw6LSjHEtw,v2.ondemand,ستتعلم في هذه الدورة كيفية البرمجة بلغة R وكيفية استخدامها لتحليل البيانات بصورة فعالة. ستتعلم كيفية تثبيت البرامج اللازمة لبيئة البرمجة الإحصائية وتكوينها وكيفية وصف مفاهيم لغة البرمجة العامة إذ يتم تطبيقها بلغة إحصائية عالية المستوى. تتناول الدورة المشكلات العملية في الحوسبة الإحصائية التي تشمل البرمجة في لغة R، وقراءة البيانات في لغة البرمجة R، والوصول إلى حزم R، وكتابة دوال R، وتصحيح الأخطاء، وتحديد التعليمات البرمجية R، وتنظيم التعليمات البرمجية R والتعليق عليها. ستعرض الموضوعات في تحليل البيانات الإحصائية أمثلة عملية.,"[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""685384"", ""694443"", ""688901""]","[""Roger D. Peng, PhD"", ""Jeff Leek, PhD"", ""Brian Caffo, PhD""]",INTERMEDIATE,R البرمجة باستخدام لغة,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5e/b4ef8069b511e3ae92c39913bb30e0/Rprogramming.jpg,"[""ar""]",[],r-programming-ar,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",BJPOZ3xREeeBZAoxA8giLg,v2.ondemand,"Keeping patient safety and quality improvement projects on track, on time, and on budget is critical to ensuring their success. In this course, students will be introduced and given the opportunity to apply a series of tools to guide and manage patient safety and quality initiatives. These include tools for defining what success looks like, developing a change management plan, and conducting a pre-mortem to identify risks for project failure.  This course will also provide tools for engaging stakeholders to ensure key players are invested in your project’s success.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""28561072""]","[""Lisa H. Lubomski, PhD""]",,Designing for Sustainment: Keeping Improvement Work on Track (Patient Safety IV),"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1e/964100ba6b11e78191fdf17a4d6aa3/Designing-for-Sustainment-1000.png,"[""en""]","[""9FcEl2x7EeeiKQ48uoMEhg""]",patient-safety-sustainment,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",A--9GrmqEeW6YA7MjVrgzw,v2.ondemand,"Volunteer community health workers (CHWs) are a major strategy for increasing access to and coverage of basic health interventions. Our village health worker training course reviews the process of training and continuing education of CHWs as an important component of involving communities in their own health service delivery. Participants will be guided through the steps of planning training and continuing education activities for village volunteers. The course draws on real-life examples from community-directed onchocerciasis control, village health worker programs, community case management efforts, peer educators programs and patent medicine vendor training programs, to name a few.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""660062""]","[""William Brieger, DrPH""]",BEGINNER,Training and Learning Programs for Volunteer Community Health Workers,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0a/580db5d0a4a0d4d167047c317978b6/training_4-02.png,"[""en""]","[""child~MRcZ1l00Eei5AQ5d7BZVIA""]",commhealthworkers,[],"6 weeks of study, 2-3 hours per week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",AqeLjUQ1EeiJ3RL_2DUY7A,v2.ondemand,"Improving health and healthcare institutions requires understanding of data and creation of interventions at the many levels at which health IT interact and affect the institution. These levels range from the external “world” in which the institution operates down to the specific technologies. Data scientists find that, when they aim at implementing their models in practice, it is the “socio” components that are both novel to them and mission critical to success. At the end of this course, students will be able to make a quick assessment of a health informatics problem—or a proposed solution—and to determine what is missing and what more needs to be learned.

Who Is This Class For? 
Physicians, nurses, pharmacists, social workers, and other allied health professionals interested in expanding their understanding of digital health, big data, health information systems, and the unintended consequences of disruptive innovation in the healthcare system. The course is also aimed at those with technical, engineering, or analytics backgrounds who want to understand the nuances of those topics when it comes to healthcare.","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""678654""]","[""Harold P. Lehmann, MD, Ph.D.""]",BEGINNER,The Social and Technical Context of Health Informatics,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/43/5e14a0c1e911e897cbf12550772092/DHSI-Clinical-Informatics-Logo-01.png,"[""en""]","[""AlCR4UQ1EeirswoTGEtOQg""]",the-socio-technical-health-informatics-context,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",ipYzQE_sEe-mywr_6bZvLw,v2.ondemand,"The course ""Chatbots"" offers a deep dive into the world of chatbots, equipping learners with the skills to design, build, and optimize conversational interfaces. You will explore the evolution of chatbot technology and understand the fundamental mechanics that drive their functionality. Through hands-on projects using Amazon Lex and AWS, you'll not only learn to create chatbots but also how to evaluate their performance using machine learning classifiers.

What sets this course apart is its practical approach, allowing you to apply theoretical knowledge in real-world scenarios. Collaborating with peers, you’ll tackle challenges together, enhancing your problem-solving skills while fostering a supportive learning environment. By the end of the course, you’ll have the confidence to develop functional chatbots tailored for various applications, from customer service to personal assistants.

Whether you are a novice looking to enter the tech field or an experienced professional aiming to expand your skill set, this course provides invaluable insights and practical tools to advance your career in the rapidly growing chatbot landscape. Join us to unlock the potential of conversational AI!","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""163694236""]","[""Ian McCulloh""]",INTERMEDIATE,Chatbots,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ec/533c86b47749289b1991725822270b/Screenshot-2024-09-26-150236.jpg,"[""en""]","[""DIF4g3jYQYOYhopKE9xLKQ""]",chatbots,[],"3 weeks of study, 4-5 hours/week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],[],pROf0k-oEe2bJApRrwt-kw,v2.ondemand,"This course introduces students to the local and global lessons in health equity research and practice, covering topics such as the effects of structural drivers and systems of power on health equity and inequities in reproductive health and immigrant health. This course then goes on to apply these lessons to health equity research projects in settings around the world. Through exploration of global interventions, learners will be prepared to take on health disparities in their local communities by understanding why these health problems exist, what contributes to them, and how to create sustainable solutions. This course includes lectures, panel discussions, and interviews with leading experts.","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""43747204""]","[""Lisa A. Cooper, M.D.""]",BEGINNER,Health Equity Research & Practice: Local & Global Lessons,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/eb/51d4f7e9f94208b83ee2ec4e2dc525/MOOC_HealthEquity-Icon2_Ryan4.png,"[""en""]",[],local-and-global-best-practices-in-health-equity-research,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",zhX_2R07EfGuBw5BLqxbOQ,v2.ondemand,"Leaders must make high-quality and ethical decisions when navigating complex workplace challenges. In this course, learners develop practical tools to analyze ethical issues, recognize common decision errors, and improve judgment in both individual and team settings. Through real-world scenarios, they explore ethical reasoning, values clarification, and how integrity and organizational pressures shape decisions.
The course examines cognitive biases, flawed data interpretation, and other common causes of poor decisions, and introduces structured approaches to reduce risk and improve decision quality. Learners also build skills in leading team decision-making processes that align with organizational strategy and values.
By the end of the course, learners will be able to assess ethical challenges, anticipate decision risks, and guide teams toward thoughtful, responsible, and effective decisions. This course is ideal for professionals seeking to strengthen ethical leadership, critical thinking, and decision-making capability in modern organizations.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""993421""]","[""Illysa Izenberg""]",BEGINNER,Decision Making and Ethical Reasoning,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e3/05edc378664b38b087c3af5037b178/Decision-Making.jpeg,"[""en""]","[""Bd9jQNCgRNiw9bWXA6X0ZA""]",decision-making-ethical-reasoning,[],3 weeks; 1-2 hours/week,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert""]",UIi0kNpgEeWP9RIK11q74w,v2.ondemand,"Systems science has been instrumental in breaking new scientific ground in diverse fields such as meteorology, engineering and decision analysis.   However, it is just beginning to impact public health.   This seminar is designed to introduce students to basic tools of theory building and data analysis in systems science and to apply those tools to better understand the obesity epidemic in human populations. There will also be a lab in which students will use a simple demonstration model of food acquisition behavior using agent-based modeling on standard (free) software (netlogo).   The central organizing idea of the course is to examine the obesity epidemic at a population level as an emergent properties of complex, nested systems, with attention to feedback processes, multilevel interactions, and the phenomenon of emergence.   While the emphasis will be on obesity, the goal will be to explore ways in which the systems approach can be applied to other non-communicable diseases both nationally and internationally.  
 
Topics will include:
a) the epidemiology of obesity across time and place,
b) theories to explain population obesity,
c) the role of environments and economic resources in obesity
c) basic concepts and tools of systems science,
d) modeling energy-balance related behaviors in context,
e) agent-based models, systems dynamic models, and social network models","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""16417440"", ""853654"", ""18672677"", ""14969750"", ""16231611""]","[""Jessica Jones-Smith"", ""Rahmat Beheshti"", ""Daniel Taber"", ""Kayla de la Haye"", ""Thomas Glass""]",BEGINNER,Systems Science and Obesity,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f0/fe3fe0056c11e68d36cbf864a9897a/SysSciObesitySq.png,"[""en""]",[],systems-science-obesity,[],"4 weeks of study, 2-3 hours/week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert""]",5j0VR5-dEfC4Pg7j-iU5AQ,v2.ondemand,"The rapid development of digital technologies provides fundamentally new ways of addressing pressing public health challenges, especially around understanding population health status, strengthening the collection and use of health data to inform public health policies and plan interventions, and strengthening health systems to advance disease prevention, health promotion, and health service delivery. 

This course introduces foundational concepts in digitization of population health data and programs, with the aim to support decision-making around the appropriate ecosystem for digitizing health data, the key stakeholders who should be engaged for effective digitization and strategies for implementing and scaling digitization efforts to strengthen population health programs. The course discusses special considerations for digitization within low-bandwidth, and low-resource environments and leverages case studies from low and middle-income country settings to orient learners to key concepts.

In this course, you will learn: 

1. Describe key components of an enabling ecosystem for digitization of population health programs (i.e., leadership and governance; strategy and investment; services and applications; standards and interoperability; infrastructure; legislation, policy, and compliance; and workforce). 

2. Discuss the major global initiatives, frameworks, and resources available to support digitization of population health programs and key considerations when using these.

3. Understand how to promote digital ecosystem readiness and the use of maturity models in measuring readiness.

4. Explain key considerations when digitizing population health programs, such as principles of user-centered design, designing for sustainability and scale, and privacy and security of health data. 

5. Describe the gender and equity considerations when developing tools and platforms for digital transformation in population health programs, including ways to promote equality and equity. 

6. Introduce emerging approaches to the digitization of population health programs, including the use of advanced analytics and artificial intelligence, and critically examine their potential value, limitations, and implications for decision-making, equity, and health system performance.

The course is targeted at public health program planners, policymakers, and implementers who are engaged in decision-making around when and how to digitize population health programs. Learners do not need a technology or an engineering background or experience.","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""1091689"", ""199769064"", ""42482788"", ""63837438""]","[""Smisha Agarwal"", ""Madhu Jalan"", ""shivani pandya"", ""Katya Saksena""]",BEGINNER,Digitizing Population Health in Low-Resource Settings,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b1/db0b0e00f0441786257c2de531701e/image001.png,"[""en""]",[],global-digital-health,[],"5 weeks of study, 2–3 hours/week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert""]",s6_Z4SBAEeWcQw5YiljpGw,v2.ondemand,"Public Mental Health is the application of the principles of medicine and social science to prevent the occurrence of mental and behavioral disorders and to promote mental health of the population. This course illustrates the principles of public health applied to depressive disorder, including principles of epidemiology, transcultural psychiatry, health services research, and prevention. It is predicted that by 2020 depressive disorder will be the most important cause of disease burden in the entire world! Every human being suffers from feeling depressed at some point or other, but only about one fifth of the population will experience an episode of depressive disorder over the course of their lives. This course illuminates the public health approach to disease, and the particular complexities of applying this approach to mental disorders, using depression as the exemplar.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}]","[""3892615"", ""3953386"", ""4297433""]","[""William Eaton, PhD"", ""Wietse A. Tol, PhD"", ""Ramin Mojtabai, MD""]",BEGINNER,Major Depression in the Population: A Public Health Approach,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b1/765b2af969d4c10a20cc6967aa1dce/PMH-02.jpg,"[""en""]",[],public-health-depression,[],"6 weeks of study, 2 hours per week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],[],SiV1tCpgEe6ErRJBeGUZBQ,v2.ondemand,"Increasingly, terms such as “colonialism,” “decolonization,” and “social structures,” appear in media, conversations, and educational spaces, often without nuanced explanations of these concepts and how they relate to current U.S. society and the individuals in it. 

To provide a space to think, learn, and feel about these concepts as realities connected to everyone, this course offers many entry points to deepen understandings about the U.S. as a current settler colonial nation, to engage with contemporary Indigenous Peoples/Native Nations, and to recognize how participants’ own lives, interests, and professional domains intersect with settler colonialism. 

This course highlights perspectives from Indigenous Peoples/Native Nations while focusing on examples of ongoing settler colonialism as it shows up in education, law, food systems, media, land, gender, race/ethnicity, and health/medicine, among others. 

Additionally, this course offers a framework consisting of four cornerstones that reveal how ongoing settler colonialism in the United States: 1) attempts to eliminate Indigenous Peoples, 2) imposes ideas of property, 3) produces anti-relationality, and 4) naturalizes the assumption of limited options. 

Through the framework + Native perspectives and knowledge, participants will better understand ongoing settler colonialism while (re)imagining anti-colonial processes in the U.S. as a way to co-create thriving futures for everyone.

This Teach-Out does not issue certificates of completion.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}, {""subdomainId"": ""law"", ""domainId"": ""social-sciences""}]","[""132585830"", ""36615773""]","[""Melissa Horner"", ""Shannon Frattaroli, PhD, MPH""]",BEGINNER,Ongoing U.S. Settler Colonialism & Native Peoples Teach-Out,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6f/e3349e2d08400a878be64c05f6345c/SettlerColonialismTeachOut12_13.png,"[""en""]",[],ongoing-us-settler-colonialism-native-peoples-teach-out,[],You can go at your own pace! We recommend 2 weeks of study at 5 hours/week = ~10 hours total,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",cXBp8-jlEeyDYwq6z4uKRQ,v2.ondemand,"This course will evaluate best practices in transportation networks, thoroughfares, and streetscape designs for the effective movement of people, goods, and services in a region. Sustainable public and private streetscape design and application will be reviewed and evaluated for applications for sustainable cities. Considerations are assessed for smart urban planning, growth, and lifestyle. Strategies for creating equitable, healthy, and sustainable communities are also evaluated.       

By the end of this course, you will be able to:

1. Survey and evaluate thoroughfare network considerations for connectivity, block size and sidewalk interaction.
2. Compare different complete street design options for application in smart growth planning.
3. Evaluate sidewalk design and planning strategies for public and private sidewalks to include street tree configurations and street light design.
4. Examine issues of water management with specialized curb design, ground water recharge areas and swales as part of the streetscape design and planning.
5. Identify and evaluate the differences between free-flow, slow-flow, and yield-flow thoroughfare design concepts.
6. Assess and evaluate smart urban planning, growth, and lifestyle indicators.

The target audience for this course includes: 

- Government Officials involved planning, designing, monitoring, enforcement, and assessment of sustainable project developments at the local, state, and federal level.
- Private sector companies in the transportation and municipal design and construction business
- Architects interested in advancing sustainable concepts for cities and communities
- Foundations, associations, and other NGOs that support smart growth strategies
- Academic faculty and students studying and researching community sustainability and resilience 
- Private citizens interested in improving their communities and living conditions","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}]","[""61175652""]","[""William Roper""]",INTERMEDIATE,Sustainable Transportation Networks and Streetscapes,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/52/63728baef54315b8ab35d14f742ac4/Sustainable-Cities-Course-1-Logo.png,"[""en""]","[""LHmNiySEEe2VlA7tTmoIIQ""]",sustainable-transportation-networks-and-streetscapes,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",P2AAwo7NEe6AwxJZOkIyOQ,v2.ondemand,"Welcome to The Mathematics of Politics, Democracy, and Manipulation, an inspiring course that explores the intricate landscape of democracy and decision-making.

In today's world, understanding the mechanisms that shape our electoral systems and influence democratic outcomes is more crucial than ever. This comprehensive course delves deep into five key pillars of electoral theory and practice, empowering participants with the knowledge and tools to navigate the complexities of voting and representation.

Voting Theory: Discover the theoretical foundations of voting systems, from classic methods like plurality voting to innovative approaches such as ranked-choice and approval voting. Explore the principles of fairness, efficiency, and representation that underpin different voting methods, and gain insights into their real-world applications and implications.

US Electoral College: Journey through the history, mechanics, and controversies of the United States Electoral College. Unravel the mysteries of presidential elections, from the allocation of electoral votes to the winner-takes-all system, and examine the impact of the Electoral College on American politics and governance.

Weighted Voting: Unlock the secrets of weighted voting systems and their role in decision-making. From corporate boards to international organizations, explore how weighted voting structures allocate power and influence, and learn how to analyze and evaluate the distribution of voting power within diverse coalitions.

Apportionment: Delve into the principles and practices of apportionment, the process of allocating political representation. Examine the challenges of balancing population equality, geographic representation, and minority rights, and explore the methodologies used to divide legislative seats in democratic societies.

Gerrymandering: Confront the complexities and controversies of electoral boundary manipulation. Investigate the tactics and consequences of gerrymandering, from partisan bias to minority vote dilution, and explore strategies for promoting fairness, transparency, and integrity in electoral processes.

Through engaging lectures, interactive discussions, and hands-on exercises, participants will develop a deep understanding of voting theory, electoral processes, and the challenges facing modern democracies. Whether you're a student, a policymaker, or a concerned citizen, join us on this transformative journey as we work towards a more inclusive, equitable, and vibrant democracy for all.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""48046901""]","[""Joseph W. Cutrone, PhD""]",,"The Mathematics of Democracy, Politics and Manipulation","[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/39/a5033bf4c44168b8e33a61982aae09/28297346453_703accd971_k.jpg,"[""en""]",[],math-for-democracy,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",cOXjj1TBEe-05xIxqY4kRQ,v2.ondemand,"This course is primarily aimed at cybersecurity professionals, advanced students, and individuals with foundational knowledge in cybersecurity looking to expand their expertise in ethical hacking and defense strategies. Advanced Cybersecurity Topics provides in-depth coverage of sophisticated security challenges, including rootkits, operating system security, buffer overflow vulnerabilities, race conditions, and post-exploitation techniques. It’s ideal for those who want to deepen their understanding of modern cybersecurity threats and defenses, and are ready to tackle complex scenarios involving system vulnerabilities, privilege escalation, and mitigation strategies. Through hands-on labs and real-world case studies, participants will gain practical experience using the MITRE ATT&CK Enterprise Framework and other ethical hacking methodologies to analyze and defend against advanced attacks. Whether you are a seasoned professional aiming to advance your skills or a cybersecurity student looking to deepen your knowledge, this course equips you with critical tools to face complex security challenges.","[{""subdomainId"": ""security"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""165144142""]","[""Jason Crossland""]",INTERMEDIATE,Advanced Cybersecurity Topics,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c7/797e716ea349519dc7bf3abed21e00/Course-3-v2.jpeg,"[""en""]","[""HDpDF4vMSL-gDUVIHe9HBg""]",advanced-cybersecurity-topics,[],"5 weeks of study, 5-6 hours/week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",mUSYT5noEeWqkw5zNB248Q,v2.ondemand,Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.,"[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""10528550""]","[""Kasper Daniel Hansen, PhD""]",,Bioconductor for Genomic Data Science,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a3/592de0056311e5b4389d7cff42bbd8/bioconductor5_28_15-01.jpg,"[""en""]","[""child~WbhKbhWLEeyTfRKCDt3rxw""]",bioconductor,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",2kbz9luhEe--cA6V9nAp5Q,v2.ondemand,"The course ""Foundations of Probability and Random Variables"" introduces fundamental concepts in probability and random variables, essential for understanding computational methods in computer science and data science. Through five comprehensive modules, learners will explore combinatorial analysis, probability, conditional probability, and both discrete and continuous random variables. By mastering these topics, students will gain the ability to solve complex problems involving uncertainty, design probabilistic models, and apply these concepts in fields like machine learning, AI, and algorithm design.

What makes this course unique is its practical approach: students will develop hands-on proficiency in the R programming language, which is widely used in data science and statistical modeling. The course also includes real-world applications, allowing learners to bridge theoretical knowledge with practical problem-solving skills. Whether you are aiming to pursue advanced studies in machine learning or develop data-driven solutions in professional settings, this course provides the solid foundation you need to excel. Designed for learners with a background in calculus and basic programming, this course prepares you to tackle more advanced topics in computational science.","[{""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""163694236"", ""168078400""]","[""Ian McCulloh"", ""Tony Johnson""]",INTERMEDIATE,Foundations of Probability and Random Variables,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b9/927f3de4f640e29bbbd8899fa1c5bc/7118866_3459990.jpg,"[""en""]","[""pt09TwifTE6SVpZBZB8ozQ""]",foundations-of-probability-and-random-variables,[],"5 weeks of study, 5-6 hours/week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",Bg4bX4HfEeuA0ArcXUZUaw,v2.ondemand,"Sequential Decisions builds from math and algorithms that can be understood and used by Coursera Students.  This course will start from a consideration of the simplest type of data streams and then gradually advance to more complex types of data and more nuanced decisions being made on that data.  You will be able to: (a) program optimal decisions for data arriving from known distribution functions, (b) define error bars and nuanced hedges about ongoing data streams to reflect missing data and/or missing knowledge, (c)understand and use the connections from these models to further understand Markov Chains and Markov Processes and how these ideas connect to Reinforcement Learning and (d) Understand better the nuances between time-independent, time-dependent, one-dimensional and multi-dimensional data.
 The course is aimed at those working with data, this includes both those charged with analyzing the data and those in charge of making decisions based on that data.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""4027040""]","[""Thomas Woolf""]",INTERMEDIATE,Data Science Decisions in Time: Using Data Effectively,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/da/52a21262fb4511abdfbcfb5da299c5/Placeholder_Making_Decisions_in_Time.png,"[""en""]","[""m2H5mzjsEe2V7A6dC9qHTw""]",data-science-decisions-in-time-using-data-effectively,[],"5 weeks of study, 2-3 hours/week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",VjzKP0Q1EeiJ2RKoe7qovg,v2.ondemand,"Health data are notable for how many types there are, how complex they are, and how serious it is to get them straight. These data are used for treatment of the patient from whom they derive, but also for other uses. Examples of such secondary use of health data include population health (e.g., who requires more attention), research (e.g., which drug is more effective in practice), quality (e.g., is the institution meeting benchmarks), and translational research (e.g., are new technologies being applied appropriately). By the end of this course, students will recognize the different types of health and healthcare data, will articulate a coherent and complete question, will interpret queries designed for secondary use of EHR data, and will interpret the results of those queries.","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""39588106"", ""37346238""]","[""Hadi H. K. Kharrazi, MD, Ph.D"", ""Sam Meiselman""]",BEGINNER,The Data Science of Health Informatics,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5a/30abc0c1e911e89fbcdb2e75d6c7d2/DHSI-Clinical-Informatics-Logo-2-02.png,"[""en""]","[""AlCR4UQ1EeirswoTGEtOQg""]",the-data-science-of-health-informatics,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert""]",EFfXnKV6Ee-Cjg6Dgx_ubQ,v2.ondemand,"The course ""Responsible AI and Ethics"" explores the ethical, social, and technical aspects of artificial intelligence (AI) and machine learning (ML). It focuses on understanding bias in both human and machine systems and provides strategies for mitigating risks. By examining key issues such as fairness, accountability, and the regulatory landscape, learners will gain essential knowledge to navigate the ethical challenges in AI. Through case studies and real-world examples, students will explore the complexities of AI implementations, assessing their impact on society and industries. 

This course provides practical insights into responsible AI development, emphasizing both ethical decision-making and effective risk management. By the end of the course, learners will be equipped to lead AI projects that balance innovation with accountability, ensuring AI systems are fair, transparent, and sustainable. This unique combination of theoretical knowledge and real-world applications makes the course invaluable for anyone aiming to lead in the AI field.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""163694236""]","[""Ian McCulloh""]",INTERMEDIATE,"Trustworthy AI: Managing Bias, Ethics, and Accountability","[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/51/bf89a600504cb7b568281fb9e66b8f/3540626_38307.jpg,"[""en""]",[],responsible-ai-and-ethics,[],"3 weeks of study, 3-4 hours/week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],[],HimTIpFaEe-KjBKlSS1PLQ,v2.ondemand,"Unintentional injuries are the leading cause of death for children aged 1-14. Young children spend most of their time at home, making them more vulnerable to home injuries. Many of these injuries are preventable with proper education and safety measures. By addressing common household hazards, we can significantly reduce the risk of injury and create a safer living environment for children. 

The CHASE (Children’s Housing Assessment for a Safe Environment) protocol is a comprehensive tool designed to identify and mitigate injury risks in children’s homes. This course provides both families and health professionals with the knowledge and tools necessary to prevent common home injuries through a structured approach.  

Each module covers a specific risk area, including carbon monoxide safety, falling furniture, fire safety, bathroom safety, window safety, stair safety, hot water safety, electrical safety, poison storage, and strangulation hazards. Assessors will learn about the risks, practical solutions, and engage in activities to ensure a safer living environment. 

Each module includes detailed training on assessing specific risks, using the CHASE tool effectively, and providing recommendations and interventions. Assessors will learn how to conduct thorough home inspections, provide educational materials, and facilitate necessary modifications to create safer homes for children. 

The course emphasizes the importance of proactive measures and equips participants with knowledge and tools to safeguard their homes effectively. Each module includes videos, readings, discussion prompts, and hands-on activities to ensure comprehensive understanding and practical application of the safety measures.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""168701067""]","[""Wendy Shields""]",BEGINNER,Child Housing Assessment for a Safer Environment Teach-Out,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ef/19e9897c304460ad9eb0df291d36eb/CHASE-Thumb-02.png,"[""en""]",[],housing-assessments-child-safety,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",rM7v-zjiEeyScxKfWjmBww,v2.ondemand,"This course is for implementers, managers, funders, and evaluators of health programs targeting women and children in low- and middle-income countries as well as undergraduate and graduate students in health-related fields. Course participants will learn how to 1) transform quantitative components of an evaluation measurement plan into a sound analysis plan to address the evaluation questions, 2) conduct quantitative analyses of primary or secondary surveys or other available data, 3) interpret the meaning of the analysis results and their implications, and 4) disseminate the evaluation findings to program implementers, local and global stakeholders. 

It is highly recommended that course participants have the statistical skills to conduct and understand quantitative analysis.

The development of this course was supported by a grant from Government Affairs Canada (GAC) for the Real Accountability, Data Analysis for Results (RADAR) project.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""37563632"", ""89232827"", ""119693573"", ""16939281"", ""15650971"", ""37497656"", ""89229727""]","[""Agbessi Amouzou"", ""Abdoulaye Maïga"", ""Yoko Inagaki, MD "", ""Elizabeth Hazel, PhD"", ""Rosemary Morgan"", ""Neff Walker"", ""Melinda K. Munos""]",INTERMEDIATE,Analysis and Interpretation of Large-Scale Programs,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/78/b2e26e483d40b9b794de1d79f41f5a/logo.jpg,"[""en""]","[""3UmU4tWFQDqIMF5yY5PuYg""]",analysis-and-interpretation-of-large-scale-programs,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",hC-h2GzWEe-6xRKldbKQ1w,v2.ondemand,"The course ""Advanced Network Security and Analysis"" dives into the essential skills needed to protect and analyze complex network environments. This course covers advanced topics like anonymization techniques, mobile application security, and in-depth analysis of DNS, HTTP, SMTP, and TCP protocols. Learners will gain practical experience in recognizing vulnerabilities and analyzing network traffic to detect potential threats. Each module offers hands-on insights into industry-standard tools and techniques, equipping students to address real-world security challenges confidently.

Uniquely focused on practical application, the course empowers students to work with tools like Splunk, TCPDump, and Wireshark, ensuring they can navigate and mitigate complex network security scenarios. Through interactive content, learners will gain a comprehensive understanding of network protocols, explore the mechanics of cyber-attacks, and learn how to implement effective defenses. By the end of the course, students will have developed an advanced toolkit for safeguarding modern network infrastructures, making them valuable assets in any IT security environment.","[{""subdomainId"": ""security"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""165144142""]","[""Jason Crossland""]",INTERMEDIATE,Advanced Network Security and Analysis,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/00/d67d93ff774169925e45474ab8b922/Screenshot-2024-11-08-121921.jpg,"[""en""]","[""fctCOgs-TE2LTekSCm6oMg""]",advanced-network-security-and-analysis,[],"6 weeks of study, 7-9 hours/week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",JxyCduf4Ee-ccQr_xjRSew,v2.ondemand,"Honors Algebra 2: Linear and Quadratic Equations is the first course of a high-level algebra course designed to deepen your mathematical thinking and prepare you for advanced study in math, science, and engineering. Whether you're a high school student looking to accelerate your progress or an adult learner brushing up on foundational skills, this course offers a rich, engaging experience aligned with the Common Core State Standards.

You'll explore the essential building blocks of algebra: linear functions, quadratic functions, and systems of equations. Through interactive lessons and real-world applications, you'll develop a deep understanding of how equations model the world around us—from predicting trends to describing physical phenomena. Along the way, you'll strengthen your skills in graphing, solving equations, and interpreting mathematical relationships, with an emphasis on conceptual understanding and mathematical reasoning.

Designed with a university-level rigor but paced for online learners, this course invites you to go beyond memorization and truly engage with the power and elegance of algebra.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""48046901""]","[""Joseph W. Cutrone, PhD""]",BEGINNER,Honors Algebra 2: Linear and Quadratic Functions,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/67/3d25f535bf43e983de49ddc4c713e5/dunes.jpg,"[""en""]","[""child~svVvx6_bSUecTZvxpUrbng""]",linear-quadratic-functions,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert""]",ry4DJeR3EemNmw4gGersHg,v2.ondemand,"This course provides the fundamental knowledge necessary for program managers and implementors in a hypertension control program, especially in resource-limited settings. The course is interactive and includes useful tips relevant to different settings. The course should be also relevant to physicians, nurses, pharmacists, community health workers, and others who are interested in learning about hypertension diagnosis and management.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""35749003""]","[""Kunihiro Matsushita, MD, PhD""]",BEGINNER,Fundamentals for Implementing a Hypertension Program,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c6/94acb5f24f47debe242e67397e4d15/logo-1-.png,"[""en""]",[],hypertension-program,[],"6 weeks of study, 1 hour per week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",a_xPWXNVEeWxvQr3acyajw,v2.ondemand,"Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions.  Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. The course will cover modern thinking on model selection and novel uses of regression models including scatterplot smoothing.","[{""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""688901"", ""685384"", ""694443""]","[""Brian Caffo, PhD"", ""Roger D. Peng, PhD"", ""Jeff Leek, PhD""]",,Regression Models,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/75/11453069b511e3bca95d57a55dab34/RegressionModels.jpg,"[""en""]","[""Q7ft0KTtEeWVehLHxyUMyQ"", ""gONexdDqEemCcAqaM0I-aA""]",regression-models,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],[],fSYSDnzBEem9KBLXx7HZ1A,v2.ondemand,"Introduces students to the core principles of health equity research. Covers topics such as defining health equity, engaging community and policy stakeholders, patient-centeredness, cultural competence, and dissemination of research findings. Content will recognize different geographic, cultural, and social contexts where health inequities occur.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""research""}]","[""43747204"", ""45946228""]","[""Lisa A. Cooper, M.D."", ""Tanjala S. Purnell, PhD MPH""]",BEGINNER,Foundations of Health Equity Research,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a4/a9fdb767824e98b856852391248b4b/innovMethHealthEq-Foundations-of-Innovative-Methods-in-Health-Equity-Research-Logo-V3-07.png,"[""en""]",[],health-equity-research,[],"5 weeks,  2.5 to 3 hours per week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",EyIVywsOEeqAyhJ_0dX92w,v2.ondemand,"Developing insights about your organization, business, or research project depends on effective modeling and analysis of the data you collect. Building effective models requires understanding the different types of questions you can ask and how to map those questions to your data. Different modeling approaches can be chosen to detect interesting patterns in the data and identify hidden relationships.

This course covers the types of questions you can ask of data and the various modeling approaches that you can apply. Topics covered include hypothesis testing, linear regression, nonlinear modeling, and machine learning. With this collection of tools at your disposal, as well as the techniques learned in the other courses in this specialization, you will be able to make key discoveries from your data for improving decision-making throughout your organization.

In this specialization we assume familiarity with the R programming language. If you are not yet familiar with R, we suggest you first complete R Programming before returning to complete this course.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""29335552"", ""19543671"", ""685384"", ""122749136""]","[""Shannon Ellis, PhD"", ""Stephanie Hicks, PhD"", ""Roger D. Peng, PhD"", ""Carrie Wright, PhD""]",,Modeling Data in the Tidyverse,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e4/59b84597944b43b12d84a3534c5942/Tidyverse-Modeling.png,"[""en""]","[""NQWVhAsNEeqOOw7vOrLqTQ""]",tidyverse-modelling-data,[],"4 weeks of study, 4-8 hours/week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",14wpbvnnEeqrqRLDNmbmYw,v2.ondemand,"This course helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us.  This is done through studying functions, their properties, and applications to data analysis.  Concepts of precalculus provide the set of tools for the beginning student to begin their scientific career, preparing them for future science and calculus courses. This course is designed for all students, not just those interested in further mathematics courses.  Students interested in the natural sciences, computer sciences, psychology, sociology, or similar will genuinely benefit from this introductory course, applying the skills learned to their discipline to analyze and interpret their subject material.  Students will be presented with not only new ideas, but also new applications of an old subject. Real-life data, exercise sets, and regular assessments help to motivate and reinforce the content in this course, leading to learning and mastery.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""48046901""]","[""Joseph W. Cutrone, PhD""]",BEGINNER,Precalculus: Mathematical Modeling,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/11/767bf2df264c529818631e02b29c94/fair-1566306_960_720.jpg,"[""en""]","[""CKquAwGvEeufUw4VBiGANQ""]",precalculus-mathematical-modelling,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",sdHYAbozEeupsAq4ot0YUQ,v2.ondemand,"This course provides an introduction to designing and evaluating to strengthen the health system. After successful completion of all learning activities, course participants will be able to:
1. Define health systems strengthening
2. Describe health systems frameworks and how to incorporate them into evaluation planning
3. Describe how to design and prioritize implementation of health systems programs
4. Detail approaches to evaluate health systems programs, including data sources and study design
5. Introduce tools to assist with evaluation planning and simple models to assess health system intervention impact 
6. Describe how to interpret health system evaluation findings and sustainability and scalability implications

The development of this course was supported by a grant from Government Affairs Canada (GAC) for the Real Accountability, Data Analysis for Results (RADAR) project.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""research""}]","[""15117667"", ""92839094""]","[""Jaya Gupta, PhD"", ""Timothy Roberton, DrPH""]",INTERMEDIATE,Program Design & Evaluation for Health Systems Strengthening,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ea/f23b07ec3c4d1f9e4b3a6331731f80/RADAR_color---cropped.jpg,"[""en""]","[""3UmU4tWFQDqIMF5yY5PuYg""]",program-design-and-evaluation-for-health-systems-strengthening,[],3 weeks of study,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",3vl2Su2ZEeiJnAqB4Om4ig,v2.ondemand,"In this course, we'll build on the previous lessons in this specialization to focus on some very specific skills related to public health surveillance. We'll learn how to get the most out of surveillance data analysis, focusing specifically on interpreting time trend data to detect temporal aberrations as well as person, place, and time in the context of surveillance data. We'll also explore strategies for the presentation of surveillance data and some of the complex legal elements that affect its use. We'll then turn our attention to surveillance of non-communicable chronic diseases and how the data can be used to support prevention efforts. Finally, we'll explore special surveillance systems, such as syndromic surveillance, antimicrobial resistance, and event-related surveillance. This course is designed for public health practitioners with a focus on those working on health surveillance in municipal, regional, state, provincial, or even national public health agencies. We really think that this course will help those with an interest in health surveillance to see which approaches are used in actual practice of public health.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""research""}]","[""41845585""]","[""Stefan Baral, MD, MPH, MBA, FRCPC""]",BEGINNER,"Surveillance Systems: Analysis, Dissemination, and Special Systems","[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/85/37963480174b98955a6a54de001091/SurvSys_ADSS.png,"[""en""]","[""_32zWIhbEemOWgrfcpVN7g""]",epidemiology-surveillance-systems-analysis,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert""]",OAqDvyN5Eeu4wwqz_tAZ6Q,v2.ondemand,"Этот недельный курс описывает процесс анализа данных и способы управления этим процессом. Мы рассмотрим итеративный характер анализа данных и роль постановки точного вопроса, исследовательский анализ данных, выводы, формальное статистическое моделирование, интерпретацию и коммуникацию. Также вы узнаете, как организовать аналитическую работу внутри команды и направить процесс анализа данных на получение понятных и полезных результатов.

Это специализированный курс, предназначенный для быстрого ознакомления с процессом анализа данных и способами управления этим процессом. Мы стремились сделать курс максимально удобным для вас, не жертвуя важными материалами. Техническую информацию мы оставили в стороне, чтобы вы могли сконцентрироваться на управлении своей командой и ее развитии.

По окончании этого курса вы сможете:

1. Описать базовый цикл анализа данных
2. Определять различные типы вопросов и преобразовывать их в специальные наборы данных
3. Описать различные типы получения данных
4. Анализировать наборы данных, чтобы определять, подходят ли они для вопроса
5. Координировать построение модели для распространенных типов анализа данных
6. Интерпретировать результаты распространенных типов анализа данных
7. Объединять статистические выводы для составления последовательных презентаций анализа данных

Затраты времени: 1 учебная неделя, 4–6 часов

Обложка курса от fdecomite. Creative Commons  https://flic.kr/p/4HjmvD","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""694443"", ""688901"", ""685384""]","[""Jeff Leek, PhD"", ""Brian Caffo, PhD"", ""Roger D. Peng, PhD""]",,Управление анализом данных,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7a/293720466911e5a6ad271cbf197a13/2436627655_b6a65474df_b.jpg,"[""ru""]",[],managing-data-analysis-ru,[],"1 учебная неделя, 4–6 часов",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",mmeWEqKDEe-WRAr_yfFc2w,v2.ondemand,"The course ""Foundations of Neuroscience"" delves into the neural and biological foundations of influence and persuasion, providing a comprehensive understanding of how the brain processes sensory, emotional, and cognitive information. You will explore key brain regions and their role in decision-making, memory, attention, and emotion, essential for effective communication strategies. By gaining hands-on experience with neuroscience measurement techniques, you will learn to assess the impact of influence campaigns through implicit and explicit methods.

What sets this course apart is its focus on bridging neuroscience with practical applications in neuromarketing. By studying real-world case studies, you will gain the skills to evaluate and design more effective influence strategies. Whether you're in marketing, advertising, or behavioral science, this course equips you with the knowledge to better understand consumer behavior and tailor marketing efforts for maximum impact. You'll leave with a deep understanding of how to apply cutting-edge neuroscience principles to real-world influence campaigns, making this course a unique and invaluable resource for anyone in the field.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}, {""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}]","[""163694236"", ""16938705""]","[""Ian McCulloh"", ""Jennifer McKneely""]",INTERMEDIATE,Foundations of Neuroscience,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5b/decdb6308c4b67a239d0f07b43172c/2456759_9047.jpg,"[""en""]","[""VVO-fDEEQQag6C4yxj0iuA""]",foundations-of-neuroscience,[],"4 weeks of study, 2-3 hours/week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",YIzBp-TLEeahIg74m77j2A,v2.ondemand,"This course, Public Health in Humanitarian Crises 1, introduces discussions about the public health approach to problems experienced by people affected by disasters, both natural and related to conflict. The course discusses the many changes which occur in people’s lives when they are uprooted by a disaster, ranging from changes in disease patterns, access to health care, livelihoods, shelter, sanitary conditions, nutritional status, etceteras. We will explore what humanitarian interventions could look like if we want to mitigate the effects of disasters. The course content is a mix of theoretical knowledge and many practical examples from recent disasters. We think this course is unique because it contains so many practical ‘real-life’ examples and is taught by instructors and guest lecturers who together have over 200 years of experience in this field. 

The course consists of 10 modules totaling approximately 9-10 hours of delivered content with an additional 2-3 hours of self-work (quizzes and writing and evaluating a short peer-review assignment) as well as lively discussions forums. The course has been designed in a way that each module builds on the lessons of previous modules. However, you may do the modules in any order and some can be done separately. 

You do not have to pay for this course if you choose to enroll without a certificate. Sometimes referred to as auditing, enrolling without a certificate means that you will have access to all of the videos, quizzes, assignments, and discussions. The only difference is that you will not receive a certificate upon completion. Click the Enroll Without a Certificate link to sign up and begin the course. Even if you enroll in a session that has yet to begin, you may access most of the course materials right away by clicking the Preview Course Materials link. However, you will have to wait for the session to begin before posting your comments on the discussion forum or accessing the final peer-reviewed assessment. Visit the Learner Help Center for details about session schedules.

If you want to learn more, there is a second course which follows this one entitled, Public Health in Humanitarian Crises 2. We welcome you to take this. The course has a similar set-up and discusses additional topics, such as infectious disease outbreaks, disease epidemiology, maternal and newborn health, mental health, humanitarian project design, humanitarian principles, and many other topics.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}, {""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""25915820"", ""25899716""]","[""Gilbert Burnham, MD"", ""Mija Ververs""]",BEGINNER,Public Health in Humanitarian Crises 1,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/81/564120250411e79e7aaddd648fdfec/PHHC_icon4_14_17b-01.png,"[""en""]","[""child~MRcZ1l00Eei5AQ5d7BZVIA""]",humanitarian-public-health,[],"5 weeks, 2-3 hours per week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",TsEEu6dBEe-ucgr_-01kZw,v2.ondemand,"The course “HDFS Architecture and Programming” offers a comprehensive understanding of the Hadoop Distributed File System (HDFS) architecture, components, and advanced programming techniques. You will gain practical experience in setting up and configuring Hadoop for Java development, while mastering key concepts such as file and directory CRUD operations, data compression, and serialization. By the end of the course, you will be proficient in using HDFS to handle large-scale data processing, enabling you to build scalable, high-availability solutions. 

What sets this course apart is its hands-on approach, where you will work directly with HDFS, writing client programs and applying advanced techniques such as using Sequence and Map Files for specialized data storage. Whether you're new to Hadoop or looking to refine your existing skills, this course equips you with the tools and knowledge to become proficient in HDFS programming, making you a valuable asset in the field of Big Data.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""163704119""]","[""Karthik Shyamsunder""]",INTERMEDIATE,HDFS Architecture and Programming,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d6/1dd9da6d954d43af1cde47b142d6fa/cross_platform_frameworks_programming_build_tool_software_development_framework_cross_platform_structure.jpg,"[""en""]","[""LxTH-NZYTBipmRA-U2k6PA""]",hdfs-architecture-and-programming,[],"3 weeks of study, 4-5 hours/week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",iFRlE2zZEe-Quwr_1ABTmQ,v2.ondemand,"The course ""Artificial Intelligence Industrial Control Systems Security"" explores the intersection of artificial intelligence (AI) and industrial control systems (ICS) security, focusing on the safety, trust, and privacy of AI technologies within critical infrastructures. Learners will gain a comprehensive understanding of the key cybersecurity challenges faced by ICS and the role AI can play in mitigating these risks. Through the exploration of large language models (LLMs), regulatory frameworks, and advanced ICS protocols, students will learn how to implement robust security measures for AI systems and industrial control environments.

The course stands out by providing hands-on learning experiences in critical areas such as supply chain risks, cybersecurity for PLCs, and OT protocols. By combining AI principles with real-world ICS security practices, learners will be equipped to analyze and respond to emerging threats in both AI and ICS sectors. This unique approach ensures a deeper, more integrated understanding of how AI can be applied to enhance cybersecurity in industrial environments. Whether you're a professional or a beginner, this course will prepare you to tackle the most pressing security challenges at the intersection of AI and industrial control systems.","[{""subdomainId"": ""security"", ""domainId"": ""information-technology""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""165144142""]","[""Jason Crossland""]",INTERMEDIATE,Artificial Intelligence Industrial Control Systems Security,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/24/1f12bf1355409ba77a9f3c6d66031c/378415957_0f91e298-b1fc-43af-bb98-22afce1fe5e0.jpg,"[""en""]","[""fctCOgs-TE2LTekSCm6oMg""]",artificial-intelligence-industrial-control-systems-security,[],"4 weeks of study, 10-12 hours/week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",7t0cmgsNEeqAyhJ_0dX92w,v2.ondemand,"Data never arrive in the condition that you need them in order to do effective data analysis. Data need to be re-shaped, re-arranged, and re-formatted, so that they can be visualized or be inputted into a machine learning algorithm. This course addresses the problem of wrangling your data so that you can bring them under control and analyze them effectively. The key goal in data wrangling is transforming non-tidy data into tidy data.

This course covers many of the critical details about handling tidy and non-tidy data in R such as converting from wide to long formats, manipulating tables with the dplyr package, understanding different R data types, processing text data with regular expressions, and conducting basic exploratory data analyses. Investing the time to learn these data wrangling techniques will make your analyses more efficient, more reproducible, and more understandable to your data science team.

In this specialization we assume familiarity with the R programming language. If you are not yet familiar with R, we suggest you first complete R Programming before returning to complete this course.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""29335552"", ""19543671"", ""685384"", ""122749136""]","[""Shannon Ellis, PhD"", ""Stephanie Hicks, PhD"", ""Roger D. Peng, PhD"", ""Carrie Wright, PhD""]",,Wrangling Data in the Tidyverse,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3f/ccacb8d4ba4c2fa8ba919b6c81ac73/Tidyverse-Wrangling.png,"[""en""]","[""NQWVhAsNEeqOOw7vOrLqTQ""]",tidyverse-data-wrangling,[],"4 weeks of study, 4-8 hours/week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",S4nU-e0LEey3QAq3Sc1oaw,v2.ondemand,"This aims primarily at post-baccalaureate students interested in leadership theory.

The course has four modules. Module 1 covers definitions and foundations of creative leadership. Topics include, What is creative leadership? Why creative leadership? And foundations of creative leadership. Module 2 addresses the facilitative functions of the creative leader. Topics include employee creativity on an individual level; employee creativity and team complexity; and employee creativity and team diversity. Module 3 addresses the directive functions of the creative leader. Topics include directive creative leaders in politics; directive creative leaders in haute cuisine; and directive creative leaders in the arts. Module 4 addresses the integrative functions of the creative leader. Topics include integrative creative leadership and final creative products; and integrative leadership and others’ individual creative products

This is one course in the Coursera specialization, Leadership: An Introduction. It examines current trends in leadership theory invoking several disciplines, including business, sociology, philosophy, history, and psychology. 

To complete this course successfully students should be able to analyze college-level readings and audio/visual presentations into understandable parts, including premises and conclusions; synthesize the results of the analysis into coherent and accurate summaries; and evaluate the results for accuracy and practical applicability.

Upon successful completion of the course, students will be able to
•	Define creative leadership
•	Explain the facilitative functions of a creative leader
•	Explain the directive functions of a creative leader
•	Explain the integrative functions of a creative leader
•	Assess the value of creative leadership to contemporary organizational leadership
•	Apply techniques of creative leadership to organizational challenges","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}]","[""83892076""]","[""Christopher Dreisbach""]",BEGINNER,The Creative Leader,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/36/ab30436f6a4877a75197c55bf667e3/Coursera-logo.jpg,"[""en""]","[""kRRVpBdoEe2fkA4hpzhDPQ""]",the-creative-leader,[],Four weeks; 7-10 hours per week,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",iZUrli3zEeyRZwruZfI_ww,v2.ondemand,"In this course, you’ll learn more advanced operational skills that you and your team need to run a successful clinical trial. You’ll learn about the computation of sample size and how to develop a sample size calculation that’s suitable for your trial design and outcome measures. You’ll also learn to use statistical methods to monitor your trial for safety, integrity, and efficacy. Next, you’ll learn how to report the results from your clinical trials through both journal articles and data monitoring reports. Finally, we’ll discuss the role of the analyst throughout the trial process, plus  a few additional topics such as simulations and adaptive designs.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""research""}]","[""3962960"", ""109366686"", ""109233538""]","[""Janet Holbrook, PhD, MPH"", ""Elizabeth A. Sugar, PhD"", ""David M. Shade, JD""]",BEGINNER,"Clinical Trials Analysis, Monitoring, and Presentation","[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f6/17f8af1260417eb2b92e0ee9a4286c/Clin_Trials_Ops-Analysis-presentation-Icon.png,"[""en""]","[""mVzZ6i3xEeyXxhK-OyL_XQ""]",clinical-trials-analysis-presentation-statistical-monitoring,[],"4 weeks, 1-2 hours per week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",jePrjEQ1Eeim3goWHozWuA,v2.ondemand,"Do you dream of being a CMIO or a Senior Director of Clinical Informatics? If you are aiming to rise up in the ranks in your health system or looking to pivot your career in the direction of big data and health IT, this course is made for you. You'll hear from experts at Johns Hopkins about their experiences harnessing the power of big data in healthcare, improving EHR adoption, and separating out the hope vs hype when it comes to digital medicine. 

Whether you're a nurse, pharmacist, physician, other allied health professional or come from a non-clinical background--you know that Health Informatics skills are in demand. This newly launched 5-course specialization by JohnsHopkins faculty members provides a solid foundation for anyone wanting to become a leader in  one of the hottest fields in healthcare. 

As health informaticians, we need to be very clear in our understanding of the current state (as-is), the future state (to-be) and any unintended consequences that can result from our interventions. Prior to introducing large scale change, we need to assess whether a healthcare organization is truly ready for change. This involves taking into account an organization's current culture and values. Successfully leading change through health informatics also requires strategic planning and careful financial considerations. Proper workflow redesign and a clear change management strategy are of utmost importance when introducing new technologies and in ensuring their successful adoption and proper use. 

By the end of this course, students will become familiar with examples of successful and failed attempts at change in health informatics, and the reasons for each. Students will be armed with tools to help optimize their chances for successfully leading change in their respective organizations. ","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}]","[""37772795""]","[""Ashwini S. Davison, M.D.""]",BEGINNER,Leading Change in Health Informatics,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2a/d4a5c0c1e911e881e43ff33fc7871b/DHSI-Clinical-Informatics-Logo-4-04.png,"[""en""]","[""AlCR4UQ1EeirswoTGEtOQg""]",leading-change-health-informatics,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert""]",jvtkQ7rdEeqBKA5NvH_vlw,v2.ondemand,"This course aims to provide managers and developers of contact tracing programs guidance on the most important indicators of performance of a contact tracing program, and a tool that can be used to project the likely impact of improvements in specific indicators. Students who complete the course will be proficient in using the Contact Tracing Evaluation and Strategic Support Application (ConTESSA) to estimate the impact of their contact tracing program on transmission and strategizing about how to increase their program’s impact. A secondary audience for the course will be decision makers interested in knowing more about the characteristics of effective contact tracing programs, and strategies to improve. 

The course is designed for individuals who are already leading contact tracing programs who have significant experience with epidemiology and public health. We strongly recommend completing this course on a laptop or a desktop rather than a phone as you’ll need to complete worksheets and open the course and the application simultaneously.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""39977850"", ""38176592"", ""60871990"", ""66513396"", ""39654502""]","[""Emily Gurley, PhD, MPH"", ""Elizabeth C. Lee, PhD"", ""Lucy D’Agostino McGowan"", ""Kyra Grantz"", ""Justin Lessler, PhD, MS""]",ADVANCED,Measuring and Maximizing Impact of COVID-19 Contact Tracing,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5c/f0f1578dda4afc9a5f0d0d79c7e1bb/Coursera_Contact-Tracing-icon-B2.jpg,"[""en""]",[],measuring-and-maximizing-impact-of-covid-19-contact-tracing,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert""]",RB2emnobEeyxdQr9VwEEHw,v2.ondemand,"At the Johns Hopkins Cochlear Center for Hearing and Public Health, we are dedicated to training up the next generation of clinicians and researchers to study the impact that hearing loss in older adults has on public health and to develop and implement public health strategies and solutions for hearing loss.  The Center is proud to present this course which introduces a public health approach to aging and hearing population-based research, reviews the state of public health policy and ongoing interventions, and discusses the current epidemiologic research linking hearing loss to cognitive and healthcare outcomes in older adults, including dementia.  Learners will be hearing from Johns Hopkins faculty and researchers who will speak on their expertise in areas of otolaryngology, audiology, epidemiology, gerontology, and public health policy/economics.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""100851532"", ""100851561"", ""13508122""]","[""Jennifer A. Deal, PhD"", ""Nicholas S. Reed, AuD"", ""Frank R. Lin, MD, PhD""]",BEGINNER,A Public Health Approach to Hearing Loss and Aging,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3c/a89e56a1a6429ca0bb7c5207beb7d9/course-icon.png,"[""en""]",[],a-public-health-approach-to-hearing-loss-and-aging,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",Rf7lg3xQEeeM4grXmQ48dg,v2.ondemand,"Safety culture is a facet of organizational culture that captures attitudes, beliefs, perceptions, and values about safety.  A culture of safety is essential in high reliability organizations and is a critical mechanism for the delivery of safe and high-quality care.  It requires a strong commitment from leadership and staff.  In this course, a safe culture is promoted through the use of identifying and reporting patient safety hazards, accountability and transparency, involvement with patients and families, and effective teamwork.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}]","[""28357752""]","[""Eileen Kasda""]",,Setting the Stage for Success: An Eye on Safety Culture and Teamwork (Patient Safety II),"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/35/9189909e4211e7b7109b0eb0ba9c97/Safety-Culture-and-Teamwork-100.png,"[""en""]","[""9FcEl2x7EeeiKQ48uoMEhg""]",patient-safety-culture,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",z7bOth-eEeuQ9xLSu4r6yQ,v2.ondemand,"Now that you've been introduced to the world of Health IT and the important role played by electronic health records (EHRs), we'll focus on other technologies that play a role in maintaining ongoing operations in healthcare. Telemedicine, patient portals, barcode scanners, printers, and medical devices are just some of the technologies that impact providers and patients. As an IT support specialist, you’ll be asked to troubleshoot issues with a wide variety of tools. You'll see a scenario with a medical device installation where issues related to IP addresses, networking, and MAC addresses come up.  

When there are disruptions in technology, you’ll need to use training, tip sheets, and problem-solving skills to determine how best to handle the situation. Supporting a high reliability organization means being familiar with the existing processes and protocols for handling calls, creating tickets, escalating issues, and resolving matters. We’ll introduce you to the concept of self-service tickets and the guidance given to hospital staff on how to submit a ticket. You’ll learn about the different priority levels for tickets as well as the tiers of IT support. When a call comes in, there are some important resources you’ll need to access in order to troubleshoot the problem. These can range from standard question templates to tip sheets to complex matrices and knowledge base articles (KBAs). Having these tools in your arsenal is essential as a Health IT support specialist. We‘ll also cover the JIRA process, the need for excellent documentation, and ways in which requests for change are communicated.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""37772795"", ""76516201""]","[""Ashwini S. Davison, M.D."", ""Sylvia Devlin, (R) (M) (QM), CIIP""]",,Operations and Patient Safety for Healthcare IT Staff,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fc/1108474daa4162baa630f7d416d967/Course-3-01.png,"[""en""]","[""wegQfR-DEeu8_RLvNqbnww""]",healthcare-it-operations-patient-safety,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",hnz_3UVJEeu5YxIbcwLDzw,v2.ondemand,"As rates of change, derivatives give us information about the shape of a graph. In this course, we will apply the derivative to find linear approximations for single-variable and multi-variable functions. This gives us a straightforward way to estimate functions that may be complicated or difficult to evaluate. We will also use the derivative to locate the maximum and minimum values of a function. These optimization techniques are important for all fields, including the natural sciences and data analysis. The topics in this course lend themselves to many real-world applications, such as machine learning, minimizing costs or maximizing profits.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""48046901""]","[""Joseph W. Cutrone, PhD""]",INTERMEDIATE,Calculus through Data & Modeling: Applying Differentiation,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ac/67794ca4cf45028be60ddbe376fa40/china-4526390_960_720.jpg,"[""en""]","[""iZvL70VJEeuT3hLv9r-rcw""]",calculus-through-data-and-modelling-applying-differentiation,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert""]",P1YAdSVDEeyErhKbHHnlUQ,v2.ondemand,This course is aimed at anyone who is teaching online or will be in the future.  Learners will come away with ways to improve their online courses and teaching practices today.,"[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""23228057"", ""6941926"", ""36268133""]","[""Paul Huckett"", ""Michael J. Reese"", ""Dr. Olysha Magruder""]",BEGINNER,Excellence in Online Teaching,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/25/7b4dcab992423792dd0a03df227b41/logo1.jpg,"[""en""]",[],excellence-in-online-teaching,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert"", ""Specialization""]",Z6YpTXxQEeetPBIrxoVF_A,v2.ondemand,"This course provides students with a set of tools and methodologies to plan and initiate a Problem Solving or Quality Improvement project.  The first module presents methods for selecting, scoping and structuring a project before it is even initiated. It also introduces the project classifications of implementation and discovery. The second module describes the A3 problem solving methodology and the tool itself. Further in that same module, the student is shown tools to identify problems in flow, defects, and waste and to discover causes, brainstorm, and prioritize interventions. Module 3 shows a methodology within the implementation class. These methods are designed to overcome emotional and organizational barriers to translating evidence-based interventions into practice.  The fourth and last module looks at one more way to approach improvement projects in the discovery class.  These tools are specifically for new, out-of-the-box design thinking.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}]","[""26182533""]","[""Bob Hody""]",,Planning a Patient Safety or Quality Improvement Project (Patient Safety III),"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/48/870d909e4211e79b39296ce677ee11/Planning-a-QI-Project-1000.png,"[""en""]","[""9FcEl2x7EeeiKQ48uoMEhg""]",patient-safety-project-planning,[],,FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert""]",4Ku__6V6Ee-syBKvuiDv_w,v2.ondemand,"The course ""AI Project Management"" equips learners with the tools and strategies to successfully design, manage, and scale AI projects in real-world environments. Covering the entire lifecycle of AI project management, from resource planning to deployment, the course emphasizes effective practices for optimizing performance, minimizing risks, and addressing ethical challenges. Learners will explore key management principles, such as balancing scalability with budget constraints, mitigating biases in AI systems, and fostering team collaboration.

What makes this course unique is its focus on both the technical and human aspects of AI project management. By analyzing the labor dynamics of AI adoption and exploring strategies to create cognitively diverse teams, participants gain insights into building inclusive, sustainable AI solutions. Case studies and practical examples ensure that learners leave with actionable knowledge to lead AI initiatives confidently. Whether scaling existing projects or implementing new ones, this course provides the expertise to succeed in today's AI-driven landscape.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""163694236""]","[""Ian McCulloh""]",INTERMEDIATE,Managing AI Projects: From Strategy to Delivery,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a3/cfe3cbf6b642f58583339080560657/23927015_2106.i201.015.F.m004.c9.chatbot-messenger-AI-isometric.jpg,"[""en""]",[],ai-project-management-aipm,[],"3 weeks of study, 3-4 hours/week",FTcbauOTr1Lsw9akv,u0qphAkrv0DvvTb5k
[],"[""VerifiedCert""]",NqCadZgsEeu10Ao71wup4w,v2.ondemand,"This curriculum is designed for faculty members and health professions educators. The course goals are to improve your knowledge, teaching skills, and attitudes pertaining to the provision of health care to LGBTQ+ patients.e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}]","[""84176952""]","[""Michael Gisondi""]",BEGINNER,Teaching LGBTQ+ Health,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2f/59aaad5bec4a318c71d8995c514f6d/LGBTQ_Main.png,"[""en""]",[],teaching-lgbtq-health,[],"1 week study, 2 hours",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",0QWxlxCpEeqhNg4Ht9Efuw,v2.ondemand,"This course starts you on your journey of integrating primary palliative care into your daily lives.  You will learn what palliative care is, how to communicate with patients, show empathy, and practice difficult conversations. You will learn how to screen for distress and provide psychosocial support. You will learn about goals of care and advance care planning and how to improve your success with having these conversations with patients.  Finally, you will explore important cultural considerations and improve your cultural competency on the topics covered.

For clinicians, the goal of this course is to help you incorporate primary palliative care into your daily practice or help you know when to seek a specialist.  We will help you improve your patient’s quality of life and provide self-care tips to help you maintain your own. For patients and caregivers, this course will empower you to talk to your provider and get palliative care, if necessary.

Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of original release and Termination or expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""26089566"", ""25178139""]","[""Kavitha Ramchandran"", ""Jan DeNofrio""]",BEGINNER,Essentials of Palliative Care,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8d/b1c61c1e344a80b24359f9b7e9270b/Essentials-of-PC-square.jpg,"[""en""]","[""umJkWbWbEeqjZBKfC4arvw""]",essentials-of-palliative-care,[],"7 weeks, 2-3 hours/week",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",-DO2L_sHEeaj0BKqLXpeVg,v2.ondemand,"The objectives of this course are:

-To introduce participants to different concepts of love, to empower them to be conscious of the power of love and the possibility of practicing it in everyday life, and to highlight in particular the idea of love as a force for social justice.

-To communicate a sense of personal strength and empowerment by actively learning from each other and beginning to define how participants can apply their learning in service to society.

This course will explore the concept of agape love (compassion/kindness) as a force for social justice and action and as the inspiration for service and the application of knowledge to positive social change. Biological, psychological, religious, and social perspectives of love will be discussed, drawing on the expertise of people from a variety of disciplines. 

During the six-week course, the following topics will be raised and discussed: kinds of love/defining love; non-violent communication; love and the biology of the brain; love as a basic concept of religious and ethical beliefs (e.g., Judaism, Christianity, Islam, Buddhism, Gandhian); love applied in action, and poetic expressions of love as a social force. This curriculum aims to foster a sense of the importance of love as a key phenomenon in creating community, connection, and functional societies among humans.

Course materials will draw from a variety of sources. One of the goals of the class is to provide participants with some knowledge of the literature of love, and readings for the course are listed in the outline of the course on the pages that follow.","[{""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""3543363""]","[""Anne Firth Murray""]",BEGINNER,Love as a Force for Social Justice,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/97/f43e10226f11e7a47d9fee5ad17f2c/womens-march-2001559_960_720.jpg,"[""en""]",[],love-social-justice,[],,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",iQZflcZ7EeOoFhIxOQQuEA,v2.ondemand,"Eating patterns that begin in childhood affect health and well-being across the lifespan. The culture of eating has changed significantly in recent decades, especially in parts of the world where processed foods dominate our dietary intake. This course examines contemporary child nutrition and the impact of the individual decisions made by each family. The health risks associated with obesity in childhood are also discussed. Participants will learn what constitutes a healthy diet for children and adults and how to prepare simple, delicious foods aimed at inspiring a lifelong celebration of easy home-cooked meals. This course will help prepare participants to be the leading health providers, teachers and parents of the present and future.The text and other material in this course may include the opinion of the specific instructor and are not statements of advice, endorsement, opinion, or information of Stanford University.","[{""subdomainId"": ""nutrition"", ""domainId"": ""life-sciences""}]","[""2395490""]","[""Maya Adam, MD""]",BEGINNER,Child Nutrition and Cooking,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-misc.s3.amazonaws.com/flex/child-nutrition.jpg,"[""en""]",[],childnutrition,[],5 hours of videos and quizzes,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",jFMqqYsqEeuWrg570nzy8Q,v2.ondemand,"Cooking is one of the most powerful ways in which we can optimize our enjoyment of great quality food while protecting our health. Even on a tight budget, cooking can be a cost-effective, joyful and rewarding way to love the food that will love us back for a lifetime. In this course, you’ll learn some basic recipes from a home cook and two professional chefs who prioritize healthful eating. You’ll also learn some of the fundamentals of principle-based cooking that can help you break free from the chains of having to follow recipes exactly. Better health and creative expression lie in the ability to improvise in the kitchen, using whatever is available to make tasty, simple meals. We can’t wait to welcome you into our kitchens in this mouth-watering course! Here’s to your health and the home cooking that can support it!

Special thanks to course contributors: Israel Garcia, Jacopo Beni, Jesper Baanghaell, Sejal Parekh, William Bottini, Perry Pickert and Friday Films","[{""subdomainId"": ""nutrition"", ""domainId"": ""life-sciences""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""2395490""]","[""Maya Adam, MD""]",BEGINNER,Cooking for Busy Healthy People,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cb/d0fd856d404e1f8b8715a3e68c6272/Cooking_Logo_Image.jpg,"[""en""]","[""t4ZywozQEeu0MwrdR3SSUQ""]",cooking-healthy-food,[],"4 weeks of study, 3-4 hours/week",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",8gudVcEFEfC_WA6vdvdWGw,v2.ondemand,"This course will help you understand AI's climate implications and identify practical next steps within your organization. The course begins with demystifying the connection between AI, Large Language Models (LLMs), data centers, and energy and water demand. Then you will learn about AI's environmental footprint, the related environmental and community impacts, you will evaluate real-world applications of AI across climate adaptation, energy transition, and nature conservation, and understand the business and policy landscape shaping corporate decisions.

Upon completion, you will have built an Impact Plan identifying actions you can take, whether in procurement (adding sustainability criteria to vendor RFPs), operations (optimizing AI workload scheduling), or strategy (leveraging government incentives for renewable-powered infrastructure).

What makes this unique:
Stanford faculty research combines with industry experts’ insights. You will examine real implementations such as Google's wind forecasting improving renewable value, Brazil's satellite-based deforestation monitoring enabling supply chain compliance, and Sweden's AI building optimization, and then apply frameworks to your context through role-based activities.

The course balances business strategy and tactics with policy context. You will finish with concrete next steps captured in your Impact Plan, not just abstract knowledge.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}]","[""192618241"", ""208543313""]","[""Ines M. L. Azevedo"", ""William Abraham Tarpeh""]",BEGINNER,"The AI, Climate, and Energy Connection","[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a2/63680557f840689185cfa542b4efa8/AI-climate-energy-connection_marketing.jpg,"[""en""]",[],the-ai-climate-and-energy-connection,[],8 hours,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",lZqdHYspEeuZghJzgGpneQ,v2.ondemand,"This course is designed to help learners around the world become more sustainable eaters. Course videos can be watched in any order. Feel free to explore special areas of interest by skipping ahead and coming back to less familiar topics at a later stage. Together, we’ll explore key topics, like how food production impacts the environment and why meat production and protein consumption are often at the center of the debate around sustainability. We’ll introduce the pros and cons of different kinds of agriculture, fishing and food packaging, with a focus on how we can make more environmentally friendly decisions on a daily basis. We’ll also look ahead and explore some of the technology innovations that could become increasingly important as we look at the future of food for a growing global population. If this is the first course you’ve ever taken on food and sustainable eating, you’ll come away with concrete tips for how you can make food choices that will protect the world we hand over to the next generation. Our planet needs many people making small changes in the right direction and we’re here to help with that. If you’re an expert in food sustainability, we hope to offer you some tools that could help you to communicate key messages to others in simple, digestible ways. Whatever your level, we hope you’ll join this discussion as we explore, together, the ways in which we can all become more sustainable eaters.

The beautiful story animations were scripted by Lucas Oliver Oswald and animated by Janine Van Schoor.

Special thanks to: Lucas Oliver Oswald, William Bottini, Desiree Labeaud, Christopher Gardner, Sejal Parekh, Arielle Wenokur, Janine Van Schoor, Ann Doerr, Perry Pickert and the fantastic team at Friday Films.","[{""subdomainId"": ""nutrition"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""2395490""]","[""Maya Adam, MD""]",BEGINNER,Introduction to Food and Our Environment,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9a/083b0cae4a4039a931c01efc934257/Environment_Logo_Image.jpg,"[""en""]","[""t4ZywozQEeu0MwrdR3SSUQ""]",food-sustainability-environment-planet-health,[],"4 weeks of study, 4-5 hours/week",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",ZearHHitEeaYNAqJlKFl8Q,v2.ondemand,"Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems. 

This course is the second in a sequence of three. Following the first course, which focused on representation, this course addresses the question of probabilistic inference: how a PGM can be used to answer questions. Even though a PGM generally describes a very high dimensional distribution, its structure is designed so as to allow questions to be answered efficiently. The course presents both exact and approximate algorithms for different types of inference tasks, and discusses where each could best be applied. The (highly recommended) honors track contains two hands-on programming assignments, in which key routines of the most commonly used exact and approximate algorithms are implemented and applied to a real-world problem.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""1257""]","[""Daphne Koller""]",ADVANCED,Probabilistic Graphical Models 2: Inference,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera.s3.amazonaws.com/topics/pgm/large-icon.png,"[""en""]","[""PawZoXxSEea8bBKfiJt1FQ""]",probabilistic-graphical-models-2-inference,[],,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",Az5-xNOgEe-cTAr_16UWuw,v2.ondemand,"This course provides a comprehensive exploration of building decarbonization, equipping professionals with the knowledge and strategies needed to achieve sustainable, energy-efficient buildings. Through expert-led modules, participants will learn how to use energy efficient, electrification, renewable energy, low embodied carbon materials, and market-based approaches in the design of the next generation of high performance buildings. Featuring case studies from the US, Asia, the EU, and global leaders, the course highlights practical approaches, emerging technologies, and policy frameworks to guide building managers, developers, and policymakers toward impactful, scalable solutions for a low-carbon future. 
In this course you will hear from industry experts including Dr. Roshan Mehdizadeh Corsiglia, Senior Director at Google. Dr. Corsiglia is also a Stanford Adjunct Lecturer in Civil and Environmental Engineering. You will also gain insights from global experts including world-renowned Amory Lovins, Co-founder and Chairman Emeritus and former Chief Scientist of Rocky Mountain Institute (RMI), where he continues to collaborate. Lovins is also a Senior Precourt Scholar for Integrative Design and Energy Efficiency at Stanford University.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""838"", ""181516025""]","[""Martin A Fischer"", ""Peter Rumsey""]",INTERMEDIATE,Building Decarbonization and the Clean Energy Transition,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a3/788d4525ab44209d36af0505c956b7/modern-business-skyscrapers-high-rise-buildings-2026-03-24-22-49-02-utc.jpg,"[""en""]",[],building-decarbonization-and-the-clean-energy-transition,[], 12 hours ,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",JhXojhggEeiB7BJMyhcJoA,v2.ondemand,"Stanford's ""Introduction to Statistics"" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.

Topics include Descriptive Statistics, Sampling and Randomized Controlled Experiments, Probability, Sampling Distributions and the Central Limit Theorem, Regression, Common Tests of Significance, Resampling, Multiple Comparisons.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""33497310""]","[""Guenther Walther""]",BEGINNER,Introduction to Statistics,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/19/554c8d156a477690c6f0b81733c11c/intoduction-to-statistics_XFDS112.jpg,"[""en""]",[],stanford-statistics,[],"This course will take approx. 6-8 hours to complete, depending on prior knowledge and experience.",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",L9xlYnblEeaCZBIelfdoiQ,v2.ondemand,"The primary topics in this part of the specialization are: shortest paths (Bellman-Ford, Floyd-Warshall, Johnson), NP-completeness and what it means for the algorithm designer, and strategies for coping with computationally intractable problems (analysis of heuristics, local search).","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""768""]","[""Tim Roughgarden""]",INTERMEDIATE,"Shortest Paths Revisited, NP-Complete Problems and What To Do About Them","[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera.s3.amazonaws.com/topics/algo2/large-icon.png,"[""en""]","[""oyGHLnb0EeaoxxIn6_zz2w""]",algorithms-npcomplete,[],"4 weeks of study, 4-8 hours/week",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",WFJu-bWkEeaKcRImJySmAg,v2.ondemand,"This course focuses on women’s health and human rights issues from infancy through old age, including information about positive interventions relating to those issues.  Learners are encouraged to interact with each other through interactive discussions.  

It is important to us that this course be available to all learners.  We encourage you to apply for Coursera's financial aid (see link to left) if the cost of the course certificate is difficult for you to afford.  Please note that you may view all materials in this course, and participate in it, without purchasing a certificate.

The course was co-created by Consulting Professor Anne Firth Murray and Kevin Hsu. Anne Firth Murray is the Content Director of the course; Kevin Hsu is the Design Director of the course.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""3543363""]","[""Anne Firth Murray""]",BEGINNER,International Women's Health and Human Rights,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b9/bebae047ca11e78fdca53f2e7e6560/IWHHR-cover.jpg,"[""en""]",[],womens-health-human-rights,[],"Depending on your pace, this course can be completed in 8-11 weeks.",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",gZCdjMVhEeuO0BKz39oyGw,v2.ondemand,"This course presents basic principles of cancer survivorship to primary-care physicians. Developed by a team of experts in caring for cancer survivors, and narrated by a primary-care physician, this course provides practical tips and tools that can be easily integrated into medical practice.

You will learn about the complex physical and psychosocial needs and concerns of the growing number of cancer survivors, along with the key role that primary care physicians have in guiding these patients back to health, after cancer. 

Materials include story-based videos where you will meet four patients with diverse needs in their care after recovery for cancer; printable reference guides for clinical care, communication, and resources; as well as additional optional cases for extended learning.

This self-paced course takes approximately 90 minutes to complete. If you are interested in taking this course for CME credit, please visit the course site at Stanford Center for Continuing Medical Education located here: 
https://stanford.cloud-cme.com/course/courseoverview?P=0&EID=35509","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""87895971""]","[""Lidia Schapira""]",INTERMEDIATE,Health After Cancer: Cancer Survivorship for Primary Care,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ea/d18e1bb4c14ef48d2b907970d8d29b/HAC-Landing-image.png,"[""en""]",[],health-after-cancer-cancer-survivorship-for-primary-care,[],"1 week, 2.5 hours total",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",n7Pp5hJfEea7Vw5aJ3DY6w,v2.ondemand,"Popularized by movies such as ""A Beautiful Mind"", game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents.  Over four weeks of lectures, this advanced course considers how to design interactions between agents in order to achieve good social outcomes. Three main topics are covered:  social choice theory (i.e., collective decision making and voting systems), mechanism design, and auctions.

In the first week we consider the problem of aggregating different agents' preferences, discussing voting rules and the challenges faced in collective decision making. We present some of the most important theoretical results in the area: notably, Arrow's Theorem, which proves that there is no ""perfect"" voting system, and also the Gibbard-Satterthwaite and Muller-Satterthwaite Theorems.  We move on to consider the problem of making collective decisions when agents are self interested and can strategically misreport their preferences. We explain ""mechanism design"" -- a broad framework for designing interactions between self-interested agents -- and give some key theoretical results. Our third week focuses on the problem of designing mechanisms to maximize aggregate happiness across agents, and presents the powerful family of Vickrey-Clarke-Groves mechanisms.  The course wraps up with a fourth week that considers the problem of allocating scarce resources among self-interested agents, and that provides an introduction to auction theory.

You can find a full syllabus and description of the course here:  http://web.stanford.edu/~jacksonm/GTOC-II-Syllabus.html 

There is also a predecessor course to this one, for those who want to learn or remind themselves of the basic concepts of game theory: https://www.coursera.org/learn/game-theory-1  

An intro video can be found here:   http://web.stanford.edu/~jacksonm/Game-Theory-2-Intro.mp4","[{""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""1252"", ""174814"", ""1251""]","[""Matthew O. Jackson"", ""Kevin Leyton-Brown"", ""Yoav Shoham""]",ADVANCED,Game Theory II: Advanced Applications,"[""1"", ""29""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University"", ""The University of British Columbia""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/67/ef4789d61233d2cb2c81b6fa27f11d/large-icon.png,"[""en""]",[],game-theory-2,[],,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",J6z6RQ2iEeeY9w43qQI3Ag,v2.ondemand,"This course introduces learners to a variety of infectious diseases using a patient-centered, story-based approach. Through illustrated, short videos, learners will follow the course of each patient’s illness, from initial presentation to resolution. Integrating the relevant microbiology, pathophysiology and immunology, this course aims to engage and entice the learner towards future studies in microbiology, immunology and infectious diseases. 

The patient-centered videos included in this course were created as part of the Re-imagining Medical Education initiative, led by Charles Prober MD, Senior Associate Dean of Medical Education at the Stanford School of Medicine. This initiative was the first of its kind to explore the collaborative creation of foundational medical education online content by inter-institutional teams of faculty. The content presented in this course was created by faculty from Stanford University School of Medicine, in collaboration with The University of Washington School of Medicine, Duke University School of Medicine, UCSF School of Medicine, and The University of Michigan Medical School. Support for this initiative was provided by the Robert Wood Johnson Foundation and the Burke Family Foundation.

PLEASE NOTE: Information provided in this course is for educational purposes only and is not intended to be used for diagnostic and/or treatment purposes.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""2395490""]","[""Maya Adam, MD""]",INTERMEDIATE,Stories of Infection,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/80/34be200da311e7b1a96f88679b0fc0/Screen-Shot-2017-03-20-at-12.28.33-PM.png,"[""en""]",[],stories-of-infection,[],,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",urKnBrWbEeqnmgotUWic5w,v2.ondemand,"The Palliative Care Always Capstone course is designed to let you test your knowledge about palliative and help others understand the value of palliative care, while showing your creative side. In this course, you will impact community awareness about palliative care, promote self-care and wellness, show-off your communication skills in a virtual environment, and finish the course off by proving your thoughts on ways to offer psychosocial support to a patient and family.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""26089566"", ""25178139""]","[""Kavitha Ramchandran"", ""Jan DeNofrio""]",INTERMEDIATE,Palliative Care Always Capstone Course,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a1/755ee8a5944f9eb0f4d67e368bc645/pc-word-cloud-square.png,"[""en""]","[""umJkWbWbEeqjZBKfC4arvw""]",palliative-care-always-capstone-course,[],,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",WWSA3xcZEeiCFxLufxBVEg,v2.ondemand,"Stanford's Short Course on Breastfeeding was co-created with the Philani Maternal Child Health and Nutrition Trust to support new mothers around the world. This engaging, one-week learning experience, provides participants with everything they need to know to more successfully establish breastfeeding – or support a new mother who has decided to breastfeed. We created the course because we recognize that there is a very small window in which successful, exclusive breastfeeding can be established, and that many new mothers are mastering this skill during a busy and sometimes stressful time. Brought to life by beautiful illustrations and interviews with international mothers, we hope to reach the broadest spectrum of mothers, helping them understand the current recommendations, challenges, benefits and practical considerations around breastfeeding -  while simultaneously inspiring them to consider breastfeeding as the first choice for feeding their babies.

And now for the legal stuff...

Disclaimer of Warranty and Limitation of Liability

THE INFORMATION IN THIS COURSE IS PROVIDED ""AS IS"" WITHOUT ANY REPRESENTATION, OR WARRANTIES, EXPRESS OR IMPLIED. DIGITAL MEDIC AND STANFORD MEDICINE ARE NOT LIABLE FOR ANY TYPE OF LOSS OR INJURY, OR ANY DAMAGES WHETHER DIRECT OR INDIRECT, ARISING FROM USE OF THIS COURSE. This course is not a substitute for the advice, diagnosis or treatment by an appropriately qualified and licensed physician or other health care provider.

Copyright 2018 Stanford University.

The course videos must be used according to the term of our Creative Commons License available at https://creativecommons.org/licenses/by-nc-nd/4.0/: free distribution with attribution, no commercial use, no derivatives.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""2395490""]","[""Maya Adam, MD""]",BEGINNER,Stanford's Short Course on Breastfeeding,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ca/9168c0186911e88d89398947bb036a/Screen-Shot-2018-02-23-at-9.18.13-AM.png,"[""en""]",[],breastfeeding,[],"1 week of study, 7 hours total.",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",F7TrXNgqEeqgHg6I6dtGEQ,v2.ondemand,"This capstone project takes you on a guided tour exploring all the concepts we have covered in the different classes up till now. We have organized this experience around the journey of a patient who develops some respiratory symptoms and given the concerns around COVID19 seeks care with a primary care provider. We will follow the patient's journey from the lens of the data that are created at each encounter, which will bring us to a unique de-identified dataset created specially for this specialization. The data set spans EHR as well as image data and using this dataset, we will build models that enable risk-stratification decisions for our patient. We will review how the different choices you make -- such as those around feature construction, the data types to use, how the model evaluation is set up and how you handle the patient timeline -- affect the care that would be recommended by the model. During this exploration, we will also discuss the regulatory as well as ethical issues that come up as we attempt to use AI to help us make better care decisions for our patient. This course will be a hands-on experience in the day of a medical data miner.

In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of the original release and expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""10223366"", ""67803539"", ""1262249"", ""53172657"", ""66137230""]","[""Matthew Lungren"", ""Nigam Shah"", ""Serena Yeung"", ""Tina Hernandez-Boussard"", ""Laurence Baker""]",,AI in Healthcare Capstone,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8e/e9e0b2226d406bbe740f1f08858b9d/Capstone-Image_purple_v.jpg,"[""en""]","[""68fXxAJgEeqJHxKP6A-i8w""]",ai-in-healthcare-capstone,[],,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",g4sFEnitEeaCZBIelfdoiQ,v2.ondemand,"Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems. 

This course is the third in a sequence of three. Following the first course, which focused on representation, and the second, which focused on inference, this course addresses the question of learning: how a PGM can be learned from a data set of examples. The course discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models. The (highly recommended) honors track contains two hands-on programming assignments, in which key routines of two commonly used learning algorithms are implemented and applied to a real-world problem.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""1257""]","[""Daphne Koller""]",ADVANCED,Probabilistic Graphical Models 3: Learning,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera.s3.amazonaws.com/topics/pgm/large-icon.png,"[""en""]","[""PawZoXxSEea8bBKfiJt1FQ""]",probabilistic-graphical-models-3-learning,[],,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],[],6t_SBwLMEees5g6zeYMKiA,v2.ondemand,"This course offers an intimate, story-based introduction to the experiences of six transgender children and their families. Through illustrated stories and short teaching videos, learners will gain a better understanding of gender identity and the gender spectrum. Stanford physicians, K-12 educators, and transgender faculty members offer practical tips for parents, teachers, healthcare providers and anyone who wants to help create a more gender-expansive environment - one in which all people can live authentically. As a global community of unique individuals, we can begin to build a world that is ready to nurture and love each and every child. 

Due to the sensitive nature of the story-based course content, we have chosen not to offer course certificates for this course. Simply put, we feel that the thoughts, ideas and sentiments of these remarkable children and their families... are priceless. We are confident that, like us, you will end up learning more from them than you could ever imagine. Together, we can lay a stronger foundation for all children. Join us as we explore health, across the gender spectrum.

Additional note: When submitting answers to quizzes, you may be asked to enter your ""full legal name"". This feature is primarily for verification purposes for courses that offer a certificate on Coursera, so it does not really apply to this course. We recognize that, for some individuals the name they use does not match the one on their legal documents. Please feel free to enter the name you normally use in these boxes.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""2395490""]","[""Maya Adam, MD""]",BEGINNER,Health Across the Gender Spectrum,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/28/f07d1002cd11e78dedd98f34f8ccdd/Screen-Shot-2017-02-19-at-8.48.17-PM.png,"[""en""]",[],health-gender-spectrum,[],Three weeks. Roughly one hour every week.,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",Is9jHhyKEeaHoAovRHhd_Q,v2.ondemand,"In this course we will seek to “understand Einstein,” especially focusing on the special theory of relativity that Albert Einstein, as a twenty-six year old patent clerk, introduced in his “miracle year” of 1905. Our goal will be to go behind the myth-making and beyond the popularized presentations of relativity in order to gain a deeper understanding of both Einstein the person and the concepts, predictions, and strange paradoxes of his theory. Some of the questions we will address include: How did Einstein come up with his ideas? What was the nature of his genius? What is the meaning of relativity? What’s “special” about the special theory of relativity? Why did the theory initially seem to be dead on arrival? What does it mean to say that time is the “fourth dimension”? Can time actually run more slowly for one person than another, and the size of things change depending on their velocity? Is time travel possible, and if so, how? Why can’t things travel faster than the speed of light? Is it possible to travel to the center of the galaxy and return in one lifetime? Is there any evidence that definitively confirms the theory, or is it mainly speculation? Why didn’t Einstein win the Nobel Prize for the theory of relativity?

About the instructor: Dr. Larry Lagerstrom is the Director of Academic Programs at Stanford University’s Center for Professional Development, which offers graduate certificates in subjects such as artificial intelligence, cyber security, data mining, nanotechnology, innovation, and management science. He holds degrees in physics, mathematics, and the history of science, has published a book and a TED Ed video on ""Young Einstein: From the Doxerl Affair to the Miracle Year,"" and has had over 30,000 students worldwide enroll in his online course on the special theory of relativity (this course!).","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""physics-and-astronomy""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""2691794""]","[""Larry Randles Lagerstrom""]",BEGINNER,Understanding Einstein: The Special Theory of Relativity,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/de/5321205eaa11e6a173e1a4226d1b5e/Einstein-MOOC-logo-image-800x800.jpg,"[""en""]",[],einstein-relativity,[],"8 weeks of study, 5-10 hours per week",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",7A9oIwJgEeqKaAoC_f2ifw,v2.ondemand,"Solving the problems and challenges within the U.S. healthcare system requires a deep understanding of how the system works. Successful solutions and strategies must take into account the realities of the current system. 

This course explores the fundamentals of the U.S. healthcare system. It will introduce the principal institutions and participants in healthcare systems, explain what they do, and discuss the interactions between them. The course will cover physician practices, hospitals, pharmaceuticals, and insurance and financing arrangements. 

We will also discuss the challenges of healthcare cost management, quality of care, and access to care. While the course focuses on the U.S. healthcare system, we will also refer to healthcare systems in other developed countries.



In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of the original release and expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""67803539"", ""42517944"", ""66137230""]","[""Nigam Shah"", ""Mildred Cho"", ""Laurence Baker""]",BEGINNER,Introduction to Healthcare,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c5/bf63e989314cf4b6f118ee7aee210c/ITHCourseImage_square.jpg,"[""en""]","[""68fXxAJgEeqJHxKP6A-i8w""]",intro-to-healthcare,[],,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",V2aV04sqEeuZghJzgGpneQ,v2.ondemand,"Have you ever made a conscious effort to change the way you eat (for health or other reasons) and then felt frustrated when your plans were derailed? You’re not alone. The best laid plans are often sabotaged by a food environment that makes it increasingly hard to make healthier food choices. This can leave many people feeling mistrustful of food or feeling that our relationship with food is somehow broken. In this course, we’ll explore the history of our changing food environment, the science behind cravings for unhealthy foods AND most importantly, you’ll learn some concrete strategies for rebuilding your relationship with food. You’ll learn to practice mindful eating and self-compassion (proven strategies for supporting healthier food choices) as well as designing a customized plan to protect your relationship with food and improve the health of your greatest asset - you! I can’t wait to start on this adventure together.

Special thanks to: William Bottini, Sejal Parekh, Janine Van Schoor, Ann Doerr, Perry Pickert and the fantastic team at Friday Films.","[{""subdomainId"": ""nutrition"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""2395490""]","[""Maya Adam, MD""]",BEGINNER,Rebuilding Our Relationship with Food,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/37/1ee32305694de1ab7cd4ef9cc67d7d/Relationship_Logo_Image.jpg,"[""en""]","[""t4ZywozQEeu0MwrdR3SSUQ""]",food-relationship-mindful-eating-health,[],"4 weeks of study, 3-4 hours/week",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",xE335f6JEeq0xxLJwtWsdQ,v2.ondemand,"Software is eating the world, with radical consequences for financial services. This course gives you a foundation for understanding the future of financial services, and provides guidance for creating fintech businesses in the 2020s and beyond.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""905082"", ""73058813""]","[""R. Martin Chavez"", ""Jeffrey Conn""]",,How Software Ate Finance,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0d/c50fb56b124494973bf98a207b246a/Thumb_Flr.png,"[""en""]",[],how-software-ate-finance,[],"9 weeks of study, 3 hours/week",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",wQ9FD3b0EeaahA7WQe-h_w,v2.ondemand,"The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis).","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""768""]","[""Tim Roughgarden""]",INTERMEDIATE,"Graph Search, Shortest Paths, and Data Structures","[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/21/54dd30f05e11e59bf9d905b70dcbd9/cs161logo2.png,"[""en""]","[""oyGHLnb0EeaoxxIn6_zz2w""]",algorithms-graphs-data-structures,[],"4 weeks of study, 4-8 hours/week",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],[],1ll5BIJbEeSkLyIAC1OGNA,v2.ondemand,"A philanthropist is anyone who gives anything — time, money, experience, skills, and networks — in any amount, to create a better world. This course will empower you to practice philanthropy more effectively and make your giving more meaningful to both you and those you strive to help.

Giving 2.0: The MOOC, is a Stanford University-sponsored online course intended to teach givers of all ages, backgrounds, incomes and experiences to give more effectively. Taught by social entrepreneur, philanthropist and bestselling author Laura Arrillaga-Andreessen, Giving 2.0: The MOOC will teach you how to assess nonprofits, create a high-impact philanthropic strategy, volunteer more effectively, use existing, free technology for good and more. 

Giving 2.0: The MOOC is a six-module course. Each module has a particular theme and 5-10 content-packed and activity-rich, videos exploring that theme. Videos will include lectures from Laura Arrillaga-Andreessen as well as interviews, discussions and lectures given by guest speakers. Guest speakers are renowned leaders in multiple industries including philanthropy, technology and business, who will provide unique insights into course topics. Course participants will have the opportunity to join Talkabouts – small virtual meeting groups created to discuss class-related topics. By the course’s conclusion, course participants will have created an Individual Giving Action Plan to guide their future giving in a highly effective and meaningful way. Course participants will also complete a formal nonprofit assessment and be provided with ongoing, post-MOOC philanthropy education content that will support continued development and execution of their philanthropic goals.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""9669304""]","[""Laura Arrillaga-Andreessen""]",,Giving 2.0: The MOOC,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8a/9d83a02f0811e4a8ebe10d3c918b7f/MOOC-Course-Logo-V2.png,"[""en""]",[],philanthropist,[],"8.5 hours of videos, quizzes, and peer review",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",ZirObu41EeqfJAoS4XpEuQ,v2.ondemand,"This course takes a deep dive into the challenges families and friends of a patient with serious illness face and how you can care for and support them as a provider, social worker or family friend.  Supporting Families and Caregivers especially focuses on the children of a patient with serious illness and their caregiver, and teaches you the best way to empower them to get the support they need. By the end of this course, you will be able to provide critical avenues of support for the people who are instrumental to your patients care, wellbeing and quality of life.

Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of original release and Termination or expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""26089566"", ""25178139""]","[""Kavitha Ramchandran"", ""Jan DeNofrio""]",BEGINNER,Supporting Families and Caregivers,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1a/71829ff6164bf8b222909f40b2f48c/hands3-square.png,"[""en""]","[""umJkWbWbEeqjZBKfC4arvw""]",supporting-families-and-caregivers,[],"6 weeks, 2-3 hours/week",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",OHlOT2raEeq6owp3Zy5rmQ,v2.ondemand,"With artificial intelligence applications proliferating throughout the healthcare system, stakeholders are faced with both opportunities and challenges of these evolving technologies. This course explores the principles of AI deployment in healthcare and the framework used to evaluate downstream effects of AI healthcare solutions.

In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of the original release and expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""53172657"", ""42517944""]","[""Tina Hernandez-Boussard"", ""Mildred Cho""]",BEGINNER,Evaluations of AI Applications in Healthcare,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bd/90f8deecc845e29879b896daeea94a/EAA-CourseImage-01.png,"[""en""]","[""68fXxAJgEeqJHxKP6A-i8w""]",evaluations-ai-applications-healthcare,[],,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",xMqZG1wyEeWd6BJKWlaBIw,v2.ondemand,"Around the world, we find ourselves facing global epidemics of obesity, Type 2 Diabetes and other predominantly diet-related diseases. To address these public health crises, we urgently need to explore innovative strategies for promoting healthful eating. There is strong evidence that global increases in the consumption of heavily processed foods, coupled with cultural shifts away from the preparation of food in the home, have contributed to high rates of preventable, chronic disease. In this course, learners will be given the information and practical skills they need to begin optimizing the way they eat. This course will shift the focus away from reductionist discussions about nutrients and move, instead, towards practical discussions about real food and the environment in which we consume it. By the end of this course, learners should have the tools they need to distinguish between foods that will support their health and those that threaten it. In addition, we will present a compelling rationale for a return to simple home cooking, an integral part of our efforts to live longer, healthier lives.

View the trailer for the course here: https://www.youtube.com/watch?v=z7x1aaZ03xU","[{""subdomainId"": ""nutrition"", ""domainId"": ""life-sciences""}]","[""2395490""]","[""Maya Adam, MD""]",BEGINNER,Stanford Introduction to Food and Health,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b0/aae5e0b59611e58ae18543e6165465/fruit-bowl.jpg,"[""en""]",[],food-and-health,[],"5 weeks of study, 1 hour/week",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",oSDxwswyEeWXgg4wnpJx-w,v2.ondemand,"Learn how to model social and economic networks and their impact on human behavior.  How do networks form, why do they exhibit certain patterns, and how does their structure impact diffusion, learning, and other behaviors?   We will bring together models and techniques from economics, sociology, math, physics, statistics and computer science to answer these questions.

The course begins with some empirical background on social and economic networks, and an overview of concepts used to describe and measure networks. Next, we will cover a set of models of how networks form, including random network models as well as strategic formation models, and some hybrids. We will then discuss a series of models of how networks impact behavior, including contagion, diffusion, learning, and peer influences.

You can find a more detailed syllabus here:  http://web.stanford.edu/~jacksonm/Networks-Online-Syllabus.pdf 

You can find a short introductory videao here: http://web.stanford.edu/~jacksonm/Intro_Networks.mp4","[{""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""1252""]","[""Matthew O. Jackson""]",ADVANCED,Social and Economic Networks:  Models and Analysis,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ec/50a9bcc99dfc058198c9d4827b11e7/Logo1.jpg,"[""en""]",[],social-economic-networks,[],,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",lYw3nxuGEeWo5g5SXpDA8Q,v2.ondemand,"Cryptography is an indispensable tool for protecting information in computer systems. In this course you will learn the inner workings of cryptographic systems and how to correctly use them in real-world applications. The course begins with a detailed discussion of how two parties who have a shared secret key can communicate securely when a powerful adversary eavesdrops and tampers with traffic. We will examine many deployed protocols and analyze mistakes in existing systems. The second half of the course discusses public-key techniques that let two parties generate a shared secret key. Throughout the course participants will be exposed to many exciting open problems in the field and work on fun (optional) programming projects. In a second course (Crypto II) we will cover more advanced cryptographic tasks such as zero-knowledge, privacy mechanisms, and other forms of encryption.","[{""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""774""]","[""Dan Boneh""]",,Cryptography I,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera.s3.amazonaws.com/topics/crypto/large-icon.png,"[""en""]",[],crypto,[],,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",Avf8hHKoEeqrBQ5x2sRZTQ,v2.ondemand,"This course should be taken after the Symptom Management course and continues building your primary palliative care skills – communication, psychosocial support, goals of care, and symptom management. You will explore transitions in care such as survivorship and hospice. You will learn how to create a survivorship care plan and how to best support a patient. The course also covers spiritual care and will teach you how to screen for spiritual distress. Finally, you will learn the requirements for hospice care and practice discussions difficult conversations related to end-of-life care.

Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of original release and Termination or expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""26089566"", ""25178139""]","[""Kavitha Ramchandran"", ""Jan DeNofrio""]",BEGINNER,Transitions in Care from Survivorship to Hospice,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e0/e2f8cb30d54f0fb10d27b3e6e592e7/transitions-in-care-square.jpg,"[""en""]","[""umJkWbWbEeqjZBKfC4arvw""]",transitions-in-care-from-survivorship-to-hospice,[],"6 weeks, 2-3 hours/week",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",OEZ3_J-PEeWaZBIXh-2nQw,v2.ondemand,"Learn how to think the way mathematicians do – a powerful cognitive process developed over thousands of years.
 
Mathematical thinking is not the same as doing mathematics – at least not as mathematics is typically presented in our school system. School math typically focuses on learning procedures to solve highly stereotyped problems. Professional mathematicians think a certain way to solve real problems, problems that can arise from the everyday world, or from science, or from within mathematics itself. The key to success in school math is to learn to think inside-the-box. In contrast, a key feature of mathematical thinking is thinking outside-the-box – a valuable ability in today’s world. This course helps to develop that crucial way of thinking.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""587683""]","[""Dr. Keith Devlin""]",INTERMEDIATE,Introduction to Mathematical Thinking,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera.s3.amazonaws.com/topics/maththink/large-icon.png,"[""en""]",[],mathematical-thinking,[],Expect to require at least 10 hours of study per week to complete this course satisfactorily.,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",A-mlqGraEeqabRLxncWhlw,v2.ondemand,"Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. But we will never realize the potential of these technologies unless all stakeholders have basic competencies in both healthcare and machine learning concepts and principles. 

This course will introduce the fundamental concepts and principles of machine learning as it applies to medicine and healthcare. We will explore machine learning approaches, medical use cases, metrics unique to healthcare, as well as best practices for designing, building, and evaluating machine learning applications in healthcare.

The course will empower those with non-engineering backgrounds in healthcare, health policy, pharmaceutical development, as well as data science with the knowledge to critically evaluate and use these technologies.

 
Co-author: Geoffrey Angus
 
Contributing Editors:
Mars Huang
Jin Long
Shannon Crawford
Oge Marques


In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of the original release and expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""10223366"", ""1262249""]","[""Matthew Lungren"", ""Serena Yeung""]",BEGINNER,Fundamentals of Machine Learning for Healthcare,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bd/692f6a70224b18afaaa54f5d07d686/FML-CourseImage-01.jpg,"[""en""]","[""68fXxAJgEeqJHxKP6A-i8w""]",fundamental-machine-learning-healthcare,[],,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",B8E2c3blEear9RKoJLO5Cw,v2.ondemand,"The primary topics in this part of the specialization are: asymptotic (""Big-oh"") notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and randomized algorithms (QuickSort, contraction algorithm for min cuts).","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""768""]","[""Tim Roughgarden""]",INTERMEDIATE,"Divide and Conquer, Sorting and Searching, and Randomized Algorithms","[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/21/54dd30f05e11e59bf9d905b70dcbd9/cs161logo2.png,"[""en""]","[""oyGHLnb0EeaoxxIn6_zz2w""]",algorithms-divide-conquer,[],"4 weeks of study, 4-8 hours/week",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",hJ1Jl-fcEeWwMw6osrJBVw,v2.ondemand,"Popularized by movies such as ""A Beautiful Mind,"" game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. Beyond what we call `games' in common language, such as chess, poker, soccer, etc., it includes the modeling of conflict among nations, political campaigns, competition among firms, and trading behavior in markets such as the NYSE. How could you begin to model keyword auctions, and peer to peer file-sharing networks, without accounting for the incentives of the people using them? The course will provide the basics: representing games and strategies, the extensive form (which computer scientists call game trees), Bayesian games (modeling things like auctions), repeated and stochastic games, and more. We'll include a variety of examples including classic games and a few applications.

You can find a full syllabus and description of the course here:  http://web.stanford.edu/~jacksonm/GTOC-Syllabus.html 

There is also an advanced follow-up course to this one, for people already familiar with game theory:  https://www.coursera.org/learn/gametheory2/

You can find an introductory video here:  http://web.stanford.edu/~jacksonm/Intro_Networks.mp4","[{""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""1252"", ""174814"", ""1251""]","[""Matthew O. Jackson"", ""Kevin Leyton-Brown"", ""Yoav Shoham""]",BEGINNER,Game Theory,"[""1"", ""29""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University"", ""The University of British Columbia""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/dc/9f98f0336111e69f8b4d7acdaafbd1/Brueghel-Children.jpg,"[""en""]",[],game-theory-1,[],,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",guqOkAKDEeaG2A4kH1tj-w,v2.ondemand,"Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems. 

This course is the first in a sequence of three. It describes the two basic PGM representations: Bayesian Networks, which rely on a directed graph; and Markov networks, which use an undirected graph. The course discusses both the theoretical properties of these representations as well as their use in practice. The (highly recommended) honors track contains several hands-on assignments on how to represent some real-world problems. The course also presents some important extensions beyond the basic PGM representation, which allow more complex models to be encoded compactly.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""1257""]","[""Daphne Koller""]",ADVANCED,Probabilistic Graphical Models 1: Representation,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera.s3.amazonaws.com/topics/pgm/large-icon.png,"[""en""]","[""PawZoXxSEea8bBKfiJt1FQ""]",probabilistic-graphical-models,[],,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",HdsKSav3Ee6oQA6J-7B2nw,v2.ondemand,"This course explores how the advances in artificial intelligence can and will transform our economy and society in the near future. 

You will hear insights from esteemed AI researchers and industry leaders in technology, economics, and business. The curriculum addresses the technological underpinnings of Generative AI, its profound implications for businesses and the broader economy, and the potential risks associated with AI-driven transformations in the workforce. By the end of this course, you will be equipped with the foresight necessary to navigate the transformative landscape of AI. 

Notable guest speakers include Eric Schmidt (former CEO of Google), Laura Tyson (esteemed Berkeley professor and former Director of the National Economic Council), Bindu Reddy (CEO and Co-Founder - Abacus.AI), Alex Wang (Founder of Scale AI), Mira Murati (CTO of OpenAI), Jack Clark (Co-founder of Anthropic), and Mustafa Suleyman (Founder of Inflection.AI). They originally joined a conversation with Erik Brynjolfsson and Sebastian Thrun at Stanford University in Spring 2023, and we believe that their insights will be as valuable to your understanding as they were to the Stanford community. Special thanks to James da Costa for his work on the development of this course.","[{""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""144275555""]","[""Erik Brynjolfsson""]",BEGINNER,The AI Awakening: Implications for the Economy and Society,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ba/e042fa9ca34597803cc171852e8ab1/Untitled-design-1-.png,"[""en""]",[],ai-awakening,[],3 hours,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",4B7lX2rZEeqUZwrkS_2HfQ,v2.ondemand,"This course introduces you to a framework for successful and ethical medical data mining. We will explore the variety of clinical data collected during the delivery of healthcare. You will learn to construct analysis-ready datasets and apply computational procedures to answer clinical questions. We will also explore issues of fairness and bias that may arise when we leverage healthcare data to make decisions about patient care.



In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of the original release and expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""67803539"", ""67654556"", ""69185718""]","[""Nigam Shah"", ""Steven Bagley"", ""David Magnus""]",BEGINNER,Introduction to Clinical Data,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/83/0254d751d54c6cb270c97076aca15f/ICD-CourseImage-01-2-.png,"[""en""]","[""68fXxAJgEeqJHxKP6A-i8w""]",introduction-clinical-data,[],,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",2_Dj7A0KEearKQowajWNkQ,v2.ondemand,"This course teaches scientists to become more effective writers, using practical examples and exercises. Topics include: principles of good writing, tricks for writing faster and with less anxiety, the format of a scientific manuscript, peer review, grant writing, ethical issues in scientific publication, and writing for general audiences.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""1367410""]","[""Dr. Kristin Sainani""]",BEGINNER,Writing in the Sciences,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/15/bfacf07ed011e7923c3da078b81428/images_course_image-stanford.jpg,"[""en""]",[],sciwrite,[],"8 weeks of study, 3-5 hours/week",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",T4_v6hfTEeaUCRJWL-pjpQ,v2.ondemand,"In this introductory, self-paced course, you will learn multiple theories of organizational behavior and apply them to actual cases of organizational change.

Organizations are groups whose members coordinate their behaviors in order to accomplish a shared goal. They can be found nearly everywhere in today’s society: universities, start-ups, classrooms, hospitals, non-profits, government bureaus, corporations, restaurants, grocery stores, and professional associations are some of many examples of organizations.

Organizations are as varied and complex as they are ubiquitous: they differ in size and internal structure; they can entail a multiplicity of goals and tasks (some of which are planned and others unplanned!); they are made up of individuals whose goals and motivations may differ from those of the group; and they must interact with other organizations and deal with environmental constraints in order to be successful. This complexity frequently results in a myriad of problems for organizational participants and the organization’s survival.

In this course, we will use organizational theories to systematically analyze how an organization operates and can best be managed. Organizational theories highlight certain features of an organization’s structure and environment, as well as its processes of negotiation, production, and change. Each provides a lens for interpreting novel organizational situations and developing a sense for how individual and group behaviors are organized. Theories are valuable for the analyst and manager because most organizational problems are unique to the circumstances and cannot be solved by simple rules of thumb. Armed with a toolset of organizational theories, you will be able to systematically identify important features of an organization and the events transforming it; choose a theoretical framework most applicable to the observed mode of organizing; and use that theory to determine which actions will best redirect the organization in desired directions.

In sum, the course has three goals: to become familiar with a series of real-world organizational phenomena; to learn different theoretical perspectives that can elucidate these phenomena; and to apply these different ways of “seeing” and managing organizations to cases. In such a fashion, the course is designed to actively bridge theory and practice, exposing students to a variety of conceptual tools and ways to negotiate novel situations.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}]","[""1139667""]","[""Daniel A. McFarland""]",BEGINNER,Organizational Analysis ,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera.s3.amazonaws.com/topics/organalysis/large-icon.png,"[""en""]",[],organizational-analysis,[],,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",NYVeK3blEea0bBInbpCXBQ,v2.ondemand,"The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees).","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""768""]","[""Tim Roughgarden""]",INTERMEDIATE,"Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming","[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera.s3.amazonaws.com/topics/algo2/large-icon.png,"[""en""]","[""oyGHLnb0EeaoxxIn6_zz2w""]",algorithms-greedy,[],"4 weeks of study, 4-8 hours/week",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",T7hf5jWeEeuGCBL8_hyTUQ,v2.ondemand,"In the first course of the Machine Learning Specialization, you will:
• Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn.
• Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression

The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. 

This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.

This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. 

It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.)

By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""1244"", ""77736236"", ""68361648"", ""170597538""]","[""Andrew Ng"", ""Aarti Bagul"", ""Geoff Ladwig"", ""Eddy Shyu""]",BEGINNER,Supervised Machine Learning: Regression and Classification ,"[""475"", ""1""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI"", ""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9c/90ae67ecdb4185a4ae79ec9a5ae0b6/Course-Logo--1.png,"[""en""]","[""nOOfCDWeEeuiZgo2K4rorQ""]",machine-learning,[],"At the rate of 5 hours a week, it typically takes 3 weeks to complete this course.",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",b5DpX3H3Eeq3mBKtb81SxQ,v2.ondemand,"This course should be taken after the Essentials of Palliative Care course and continues building your primary palliative care skills – communication, psychosocial support and goals of care. You will learn how to screen, assess, and manage both physical and psychological symptoms. You will explore common symptoms such as pain, nausea, fatigue, and distress and learn specific treatments. You will continue to follow Sarah and Tim’s experience and learn cultural competencies critical for optimal symptom management.

Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of original release and Termination or expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""26089566"", ""25178139"", ""64730505"", ""61551833""]","[""Kavitha Ramchandran"", ""Jan DeNofrio"", ""Joshua C. Fronk"", ""Manuela Kogon""]",INTERMEDIATE,Symptom Management in Palliative Care,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bd/8b902479f04f06a279885d5ee69df3/symptom-managment-square.jpg,"[""en""]","[""umJkWbWbEeqjZBKfC4arvw""]",symptom-management-in-palliative-care,[],"6 weeks, 2-3 hours/week",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],[],wwfQLxPgEea5AhKljEPF0Q,v2.ondemand,"In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. We focus on the spectral processing techniques of relevance for the description and transformation of sounds, developing the basic theoretical and practical knowledge with which to analyze, synthesize, transform and describe audio signals in the context of music applications.

The course is based on open software and content. The demonstrations and programming exercises are done using Python under Ubuntu, and the references and materials for the course come from open online repositories. We are also distributing with open licenses the software and materials developed for the course.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""2792685"", ""1157812""]","[""Xavier Serra"", ""Prof Julius O Smith, III""]",INTERMEDIATE,Audio Signal Processing for Music Applications,"[""225"", ""1""]",https://coursera-university-assets.s3.amazonaws.com/78/dc948019be11e4ab8321293113e4d4/upf-logo-_official_-for-CDP.png,"[""Universitat Pompeu Fabra of Barcelona"", ""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/46/a24e201eea11e4815a1db9e87d56ee/figure.png,"[""en""]",[],audio-signal-processing,[],"10 weeks of study, 8 hours/week",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert"", ""Specialization""]",hD8t4jWeEeu9vAr5jUgnDQ,v2.ondemand,"In the third course of the Machine Learning Specialization, you will:
• Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection.
• Build recommender systems with a collaborative filtering approach and a content-based deep learning method.
• Build a deep reinforcement learning model.

The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. 

This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.

This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. 

It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.)

By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""1244"", ""77736236"", ""68361648"", ""170597538""]","[""Andrew Ng"", ""Aarti Bagul"", ""Geoff Ladwig"", ""Eddy Shyu""]",BEGINNER,"Unsupervised Learning, Recommenders, Reinforcement Learning","[""475"", ""1""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI"", ""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9d/94b73964644f83be145d935af64acc/Course-Logo--3.png,"[""en""]","[""nOOfCDWeEeuiZgo2K4rorQ""]",unsupervised-learning-recommenders-reinforcement-learning,[],"At the rate of 5 hours a week, it typically takes 3 weeks to complete this course.",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",VNsFSJHoEeiQRw62OFrdVg,v2.ondemand,"Antimicrobial Stewardship: Improving Clinical Outcomes by Optimization of Antibiotic Practices

Internet Enduring Material Sponsored by: Stanford University School of Medicine

Presented by: The Division of Infectious Diseases and Geographic Medicine at Stanford University School of Medicine

NOTE: These videos were produced as part of an online course offered by the Stanford Center for Continuing Medical Education (SCCME).  If you wish to receive credit for your participation in the course, you will need to complete the full course on the SCCME website at: http://cme.stanford.edu/online. The course version on Coursera does not offer CME credit.

Course Description
Antibiotics are among the most frequently prescribed classes of drugs and it is estimated that approximately 50% of antibiotic use, in both the outpatient and inpatient settings, is inappropriate. At the same time, in contrast to any other class of drugs, every antibiotic use has a potential public health consequence – inappropriate use may not harm only the individual patient, but contributes to societal harm by exerting an unnecessary selective pressure that may lead to antibiotic resistance among bacteria. This video based course will introduce learners to the basic principles of appropriate antibiotic use, demonstrate how to apply these principles to the management of common infections, and outline how to develop and maintain an antimicrobial stewardship program. We will offer a number of illustrative cases, recognizable to the practicing physician in his or her practice to engage learners in the thought processes that lead to optimal decision making, improved outcomes of individual patients, and harm reduction vis-a-vis the bacterial ecology. The course will also explore strategies to implement principles of antimicrobial stewardship both in your practice and also at a program level.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""1166989"", ""2642347"", ""35626265"", ""11721143"", ""35746753""]","[""Stan Deresinski, MD"", ""Elizabeth Robilotti"", ""Marisa Holubar"", ""Lina Meng, PharmD, BCPS, BCCCP"", ""Emily Mui""]",ADVANCED,Antibiotic Stewardship ,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/29/77d8a09b4c11e8b7a12503c978f9c1/penicillin.jpg,"[""en""]",[],antibiotic-stewardship,[],"4 weeks of study, 2 hours/week",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",W2VgKjJAEe6M6ArdAkKxFQ,v2.ondemand,"Through videos and gameplay, this course provides a unique introduction to RNA biology, including its uses in medicine and bioengineering. Learn how RNA powers cell growth and development by designing your own RNAs using the popular citizen science game Eterna.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""research""}]","[""16413745""]","[""Rhiju Das""]",BEGINNER,RNA Biology with Eterna,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cc/54cdcbd5984be38c4a9e92136875e1/course-thumb.png,"[""en""]",[],rna-biology,[],10-15 hours/week,BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",JLygJMCgEeWP5g5dlaZx4w,v2.ondemand,"This course is an introduction to Logic from a computational perspective. It shows how to encode information in the form of logical sentences; it shows how to reason with information in this form; and it provides an overview of logic technology and its applications - in mathematics, science, engineering, business, law, and so forth.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""1460""]","[""Michael Genesereth""]",INTERMEDIATE,Introduction to Logic,"[""1""]",http://coursera-university-assets.s3.amazonaws.com/8c/66c948ff364973a890121704deea25/200x48-stanford-online-logo.png,"[""Stanford University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/41/b6a930581b11e6b0cb5da5ab8b1947/klingon.png,"[""en""]",[],logic-introduction,[],"10 weeks of study, 4-8 hours/week",BdJvZrxB1tUiqcEY6,ZoNg6OJANKYk4QP5f
[],"[""VerifiedCert""]",Kzg9QkDxEeWZtA4u62x6lQ,v2.ondemand,"What is a musician’s response to the condition of the world? Do musicians have an obligation and an opportunity to serve the needs of the world with their musicianship?
 
At a time of crisis for the classical music profession, with a changing commercial landscape, a shrinking audience base, and a contraction in the number of professional orchestras, how does a young musician construct a career today? Are we looking at a dying art form or a moment of reinvigoration?
 
In this course we will develop a response to these questions, and we will explore the notion that the classical musician, the artist, is an important public figure with a critical role to play in society.
 
The course will include inquiry into a set of ideas in philosophy of aesthetics; a discussion about freedom, civil society, and ways that art can play a role in readying people for democracy; discussion on philosophy of education as it relates to the question of positive social change; and an exploration of musical and artistic initiatives that have been particularly focused on a positive social impact.
 
Guiding questions for this course inquiry will include:
 
      - How can classical music effect social change?
      - How has music made positive change in communities around the globe?
      - What can the field of classical music learn from other movements for social change?
      - How have educators and philosophers thought about the arts and their connection to daily contemporary life?
 
Each class will explore one critical question through lectures, discussions, interviews, or documentaries.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}, {""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}]","[""14642761""]","[""Sebastian Ruth""]",,Music and Social Action,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4f/a87a4315f949d781fe47d5390e881c/Music-and-Social-Action---Square.jpg,"[""en""]",[],music-and-social-action,[],"7 weeks of study, 2-3 hours/week",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",SgcGB0YOEeemlQrrzf9X-A,v2.ondemand,"An overview of the ideas, methods, and institutions that permit human society to manage risks and foster enterprise.  Emphasis on financially-savvy leadership skills. Description of practices today and analysis of prospects for the future. Introduction to risk management and behavioral finance principles to understand the real-world functioning of securities, insurance, and banking industries.  The ultimate goal of this course is using such industries effectively and towards a better society.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}]","[""3543921""]","[""Robert Shiller""]",BEGINNER,Financial Markets,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d6/3c007460bf408f8515c9ea9f9760c0/BC-5768_VisMerch-Phase-3-Assets_Youtube_FinancialMarkets.png,"[""en""]",[],financial-markets-global,[],"7 weeks of study, 3 - 4 hours per week ",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",Ai0UE_dJEeWttArM01H4SQ,v2.ondemand,"This course follows the extraordinary development of Western Christianity from its early persecution under the Roman Empire in the third century to its global expansion with the Jesuits of the early modern world. We explore the dynamic and diverse character of a religion with an enormous cast characters. We will meet men and women who tell stories of faith as well as of violence, suppression, and division. Along the way, we encounter Perpetua and her martyrdom in Carthage; the struggles of Augustine the bishop in North Africa; the zeal of Celtic monks and missionaries; the viciousness of the Crusades; the visions of Brigit of Sweden; and the fracturing of Christianity by Martin Luther’s protest. We hear the voices of great theologians as well as of those branded heretics by the Church, a powerful reminder that the growth of Christianity is a story with many narratives of competing visions of reform and ideals, powerful critiques of corruption and venality, and exclusion of the vanquished.  The troubled history of Christian engagement with Jews and Muslims is found in pogroms and expulsions, but also in the astonishing ways in which the culture of the West was transformed by Jewish and Islamic learning.
 
We shall explore the stunning beauty of the Book of Kells, exquisitely prepared by monks as the Vikings terrorized the coast of England. We will experience the blue light of the windows of Chartres, and ponder the opening questions of Thomas Aquinas’ great Summa. We will read from the Gutenberg Bible of the fifteenth century, which heralded the revolution brought by the printing press. We will travel from Calvin’s Geneva to Elizabeth’s England to Trent, where a Catholic Council met to inaugurate a modern, missionary Catholic church. We will walk through the great Escorial of Philip II of Spain, hear the poetry of John of the Cross, and follow the Jesuits to Brazil and China.
 
Christianity in the West was forged in the fires of conflict and tumult, and it brought forth both creativity and violence. It echoed with calls for God’s world to be transformed, it inspired the most sublime art and architecture, yet it also revealed the power of the union of cross and sword to destroy. The course is a journey through the formation of the West as one strand of Christianity, as one chapter in a global story. It is a journey that has shaped our world.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""19514728""]","[""Bruce Gordon""]",BEGINNER,A Journey through Western Christianity: from Persecuted Faith to Global Religion (200 - 1650) ,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/af/6e65926a594ad997778797ae282449/A-Journey-through-Western-Christianity_-from-Persecuted-Faith-to-Global-Religion-200---1650---Square.jpg,"[""en""]",[],western-christianity-200-1650,[],,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",8K8NHrfgEea2MQq2IjylnA,v2.ondemand,"WARNING: THESE VIDEOS CONTAIN IMAGES OF HUMAN DISSECTION. MAY BE DISTURBING TO SOME.

Human structure is important to all of us as it has been for millennia.  Artists, teachers, health care providers, scientists and most children try to understand the human form from stick figure drawings to electron microscopy. Learning the form of people is of great interest to us – physicians, nurses, physician assistants, emergency medical services personnel and many, many others.

Learning anatomy classically involved dissection of the deceased whether directly in the laboratory or from texts, drawings, photographs or videos.  There are many wonderful resources for the study of anatomy.  Developing an understanding of the human form requires significant work and a wide range of resources.

In this course, we have attempted to present succinct videos of human anatomy.  Some will find these images to be disturbing and these images carry a need to respect the individual who decided to donate their remains to benefit our teaching and learning.

All of the dissections depicted in the following videos are from individuals who gave their remains to be used in the advancement of medical education and research after death to the Yale School of Medicine.

The sequence of videos is divided into classic anatomic sections.  Each video has a set of learning objectives and a brief quiz at the end.  Following each section there is another quiz covering the entire section in order for you to test your knowledge.  

We hope these videos will help you better understand the human form, make time that you may have in the laboratory more worthwhile if you have that opportunity and help you develop an appreciation of the wonderful intricacies of people.

ANATOMY OF THE CHEST, NECK, ABDOMEN, AND PELVIS WAS PRODUCED IN PART DUE TO THE GENEROUS FUNDING OF THE DAVID F. SWENSEN FUND FOR INNOVATION IN TEACHING.

This work was supported in part by the Kaplow Family Fund, Yale School of Medicine.
COURSE CURRICULUM:  ANATOMY OF THE THORAX, HEART, ABDOMEN AND PELVIS

RECOMMENDED TEXT	
GRAY’S ANATOMY FOR STUDENTS, RICHARD L DRAKE, ELSEVIER.  ONLINE AND PRINT EDITIONS

ADDITIONAL RESOURCE
ATLAS OF HUMAN ANATOMY, FRANK H NETTER, ELSEVIER.  ONLINE AND PRINT EDITIONS.

We would like to thank all of those who have contributed to the creation of this course:
Charles C Duncan, MD, Producer & Director, Professor of Neurosurgery, Pediatrics and Surgery (Anatomy), Yale School of Medicine

William B Stewart, PhD, Associate Producer, Narration, Anatomist, Chief Section of Human Anatomy, Department of Surgery, Yale School of Medicine

Shanta E Kapadia, MBBS, Anatomist, Lecturer in Anatomy, Section of Human Anatomy, Department of Surgery, Yale School of Medicine

Linda Honan, PhD, Professor, Yale School of Nursing

Harry R Aslanian, MD, Associate Professor, Department of Medicine (Gastroenterology) Yale School of Medicine 

Jonathan Puchalski, MD, Associate Professor of Internal Medicine (Pulmonary), Yale School of Medicine

Michael K. O’Brien, MD, PhD, Assistant Clinical Professor of Surgery, Yale School of Medicine

Mahan Mathur, MD, Assistant Professor of Radiology and Bio-Medical Imaging, Yale School of Medicine

Lei Wang, MLS & Kelly Perry, Technical, Yale Medical Library

Anna Nasonova, Artist, Yale School of Architecture

Rachel Hill, Artist and Technical, Yale College

Philip Lapre, Technical, Section of Anatomy, Department of Surgery, Yale School of Medicine","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}]","[""21782129"", ""31115628"", ""31963176""]","[""Charles Duncan"", ""William B. Stewart "", ""Shanta Kapadia""]",INTERMEDIATE,"Anatomy of the Chest, Neck, Abdomen, and Pelvis","[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/76/6440b217e1416183f505439fefc2a7/Anatomy-of-the-Chest-Neck-Abdomen-and-Pelvis---Square.jpg,"[""en""]",[],trunk-anatomy,[],"4 weeks of study, 5-10 hours per week",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",HTut0cwzEeqS_BI1PyHnpQ,v2.ondemand,"At first glance the fields of religion and ecology may seem and unlikely pairing, but a deeper consideration reveals the two have a great deal to contribute to one another and are indeed inextricably linked. Religions recognize the unity and interdependence of humans with nature. Ecological sciences affirm this deep interconnection with the natural world. This partnership can inspire work for the wellbeing of the Earth community


There is a need for broader literacy and deeper knowledge of the world’s religions and their ecological contributions. This specialization, starting with this course, contributes such a perspective. Each course celebrates the vitality of religiously-informed action for the Earth and recognizes the longstanding contributions of Indigenous peoples in offering visions and practices for ecological flourishing. 

This course is part one of the ""Religions and Ecology: Restoring the Earth Community"" series of classes that focuses on the ecological dimensions of religious traditions throughout the world. The course you are about to begin is designed as a gateway to the other classes. It describes the nature of religion as well as the emergence of the field of ecology. In addition, it highlights concerns for forestry issues, the climate emergency, global ethics, and environmental justice.

This course is for lifelong learners curious to know more about world religions and ecology, environmental professionals eager to deepen the discourse of environmental protection and conservation, those working with non-profit organizations and NGOs on issues of ecological justice, and religion leaders and laity who wish to know how they can contribute to interreligious dialogue on environmental projects.","[{""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}]","[""20298730"", ""20444613""]","[""Mary Evelyn Tucker"", ""John Grim""]",BEGINNER,Introduction to Religions & Ecology,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/23/dbd47c234e4ec2b239b330b30a113d/Introduction-to-Religions-Ecology---Square.jpg,"[""en""]",[],intro-religions-ecology,[],"7 weeks of study, 2-3 hours per week",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",NMqE4dbxEeimThLb1L5gBg,v2.ondemand,"تساعدك هذه الدورة التدريبية لتصبح مفاوضًا بمستوى أفضل.
بخلاف الكثير من الدورات التدريبية في التفاوض، نضع إطار عمل لتحليل المفاوضات وتشكيلها.
سيتيح لك إطار العمل الحالي تقديم حجج مرتكزة على مبادئ من شأنها إقناع الآخرين.
حيث سيتيح لك الاطلاع على ما وراء النزاعات الظاهرة للكشف عن الاهتمامات الرئيسية.
بعد انتهاء هذه الدورة التدريبية، ستصبح أكثر قدرةً على التنبؤ بسلوك الأشخاص الذين ستواجههم في مواقف تنافسية وتفسير سلوكياتهم وتشكيلها.\n\nفي هذه الدورة التدريبية، سيُتاح لك العديد من الفرص للتفاوض مع طلاب آخرين من خلال دراسات الحالة القائمة على المواقف الشائعة في العمل وفي الحياة.
يمكنك الحصول على تقييم لأدائك، ومقارنة ما قمت به مع كيفية تناول الآخرين للسيناريو نفسه.
تقدم دراسات الحالة أيضًا إطارًا لمناقشة مجموعة واسعة النطاق من الموضوعات التي تتضمن الاستعداد للتفاوض، وإصدار الإنذارات النهائية، وتجنب الشعور بالأسف، وتكبير الكعكة (توسيع نطاق التفاوض)، والتعامل مع شخص له رؤية مختلفة تمامًا حول العالم.
تتضمن الموضوعات المتقدمة التفاوض عندما لا يكون لديك أي صلاحية، والتفاوض عبر البريد الإلكتروني، ودور اختلافات النوع الجنسي في التفاوض.
وفي ختام الدورة التدريبية، سنحصل على رؤى من ثلاثة خبراء في التفاوض:
""ليندا بابكوك""، و""هيرب كوهين""، و""جون ماكول ماكبين"".
استمتع.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""473433""]","[""Barry Nalebuff""]",,مقدمة عن التفاوض: دليل استراتيجي لتصبح مُفاوضًا ذا مبادئ ومُقنعًا,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f1/50abbff8364b29ae3174963fe28aa2/Introduction-to-Negotiation_-A-Strategic-Playbook-for-Becoming-a-Principled-and-Persuasive-Negotiator---Arabic---Square.jpg,"[""ar""]",[],negotiation-ar,[],,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",LD8hNEdxEeaDoBKORUcroQ,v2.ondemand,"Essentials of Global Health is a comprehensive introduction to global health. It is meant to introduce you to this topic in well-structured, clear and easy to understand ways. Much of the course will focus on five questions: What do people get sick, disabled and die from; Why do they suffer from these conditions? Which people are most affected? Why should we care about such concerns? What can be done to address key health issues, hopefully at least cost, as fast as possible, and in sustainable ways?  The course will be global in coverage but with a focus on low- and middle-income countries, the health of the poor, and health disparities. Particular attention will be paid throughout the course to health systems issues, the linkages between health and development, and health matters related to global interdependence. The course will cover key concepts and frameworks but be practical in orientation.

ESSENTIALS OF GLOBAL HEALTH WAS PRODUCED IN PART DUE TO THE GENEROUS FUNDING OF THE DAVID F. SWENSEN FUND FOR INNOVATION IN TEACHING.

-------------------------------------------------------------------------------------------------------------------------------------------------------

Course Learning Objectives

By the end of the course, learners should be able to:

•	Articulate key public health concepts related to global health;
•	Analyze the key issues in global health from a number of perspectives;	
•	Discuss with confidence the burden of disease in various regions of the world; how it varies by sex, age, and location; key risk factors for this burden; and how the disease burden can be addressed in cost-effective ways;
•	Assess key health disparities, especially as they relate to the health of low-income and marginalized people in low- and middle-income countries; 
•	Outline the key actors and organizations in global health and the manner in which they cooperate to address critical global health concerns;
•	Review key global health challenges that are likely to arise in the coming decades.


-------------------------------------------------------------------------------------------------------------------------------------------------------

Value Added of the Course

The course seeks to add special value by being comprehensive, by handling each  topic in a consistent framework, and by helping learners gain an understanding of well grounded approaches to assessing global health issues and what can be done to address them.


-------------------------------------------------------------------------------------------------------------------------------------------------------

The Readings and other materials for Essentials of Global Health

For almost every session of Essentials of Global Health, you will see: 

- Required readings
- Recommended readings
- Recommended videos

We have selected a small number of readings for each session that are central to understanding the content of the session. We have put these under “required readings”.

For each required reading, we have also indicated how carefully you should read the material and on what parts of the material you should focus your attention.

In addition, we have selected some additional readings that would be very helpful to your understanding the content of each session. 

The first is a textbook, Global Health 101, third edition. This is a comprehensive introductory textbook that closely follows the content of this Essentials of Global Health course. We have indicated for each session what part of the book you should read. Using this textbook can be very valuable to your mastering the content of the course.

The second set of “recommended readings” is some additional readings, mostly from journal articles and reports. For these, too, we have indicated how carefully you should read the material and on what parts of the material you should focus your attention.

Learners should note that to access articles from The Lancet they will have to register with the Lancet, if they do not have online access to a library that has The Lancet. Once they are registered, they will be able to sign into The Lancet and access all of its free articles.

We have also indicated for most sessions one or two videos that relate to the topic of the session. These are meant to help the learner get a better feel for the topic which is being covered. Most learners will find the videos brief, easy and enjoyable to watch, and very enlightening.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""12747183""]","[""Richard Skolnik""]",,Essentials of Global Health,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a8/8e3f58720f4aca89b1f9d251842550/Essentials-of-Global-Health---Square.jpg,"[""en""]",[],essentials-global-health,[],5-7 hours per week.,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",ei3eHtJWEe2ungry-zmhYQ,v2.ondemand,"Le cours « Évaluation des résultats des médias numériques en matière de santé » formera les professionnels de la communication dans le domaine de la santé à tirer parti des connaissances sociales et comportementales pour concevoir, mettre en œuvre et évaluer les communications en ligne en matière de santé. Le cours est conçu comme un tutoriel complet et factuel sur les étapes tactiques clés pour développer et mettre en œuvre des campagnes de santé réussies sur les médias sociaux, et pour évaluer leurs performances et leur impact sur les comportements liés à la santé. Tout au long du cours, les étudiants découvriront les bonnes pratiques pour concevoir des messages pertinents et des visuels de campagne. À la fin du cours, ils seront en mesure de mettre en œuvre une stratégie de communication numérique avec des objectifs de campagne réalisables et d’évaluer son impact à l’aide de statistiques publicitaires, de données d’enquête, d’indicateurs de coût et de couverture.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}]","[""118729838""]","[""Saad Omer""]",INTERMEDIATE,Les médias numériques pour améliorer les résultats de santé,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ca/36bf3e02334882bd6296492f722534/Digital-Media-for-Health-Outcomes---French---Square.jpg,"[""fr""]",[],digital-media-health-outcomes-fr,[],"2-3 heures par semaine, 5 semaines",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",v-h_bGXXEemPug4qlzPbag,v2.ondemand,"This course is designed with a singular goal: to improve the care you provide to your patients with substance use disorders. By delving into a model case performed by actors, seven Yale instructors from various fields provide techniques to screen your patients for substance use disorder risk, diagnose patients to gauge the severity of their use, directly manage treatment plans, refer out to treatment services, and navigate the various conditions that may limit your patient’s access to treatment. You will ultimately be prepared to provide compassionate and evidence-based care to a large population of patients living with addiction— a chronic, often relapsing-remitting disease, but a treatable one.

This course is supported in part by SAMHSA of the U.S. Department of Health and Human Services (HHS) as part of financial assistance awards from grant #1H79FG000023 totaling $249,900 and grant #3H79TI081968-02S1 from SAMHSA totaling $1,354,651 with 100 percent funded by SAMHSA/HHS. The contents are those of the author(s) and do not necessarily represent the official views of, nor an endorsement, by SAMHSA/HHS, or the U.S. Government.

Note: The content in this course is intended solely to inform and educate medical professionals. This site shall not be used for medical advice and is not a substitute for the advice or treatment of a qualified medical professional.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}]","[""48164770"", ""47969925"", ""5264263"", ""47619746"", ""48887003"", ""34250504"", ""11936428""]","[""Jeanette M. Tetrault"", ""Robert Krause"", ""Elizabeth Roessler"", ""Robert Heimer"", ""Mary Lindsay Powell"", ""Shannon Drew"", ""Ellen Edens""]",BEGINNER,Addiction Treatment: Clinical Skills for Healthcare Providers,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/93/413254dad541abbc037d4ffd78e8f3/Addiction-Treatment-for-Healthcare-Providers---Square.jpg,"[""en""]",[],addiction-treatment,[],,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",rUHfSakHEeeQ3gpuC4Fs_g,v2.ondemand,"NEW TEEN VERSION AVAILABLE HERE: https://www.coursera.org/learn/the-science-of-well-being-for-teens

In this course you will engage in a series of challenges designed to increase your own happiness and build more productive habits. As preparation for these tasks, Professor Laurie Santos reveals misconceptions about happiness, annoying features of the mind that lead us to think the way we do, and the research that can help us change. You will ultimately be prepared to successfully incorporate a specific wellness activity into your life.

THE SCIENCE OF WELL BEING WAS PRODUCED IN PART DUE TO THE GENEROUS FUNDING OF THE DAVID F. SWENSEN FUND FOR INNOVATION IN TEACHING.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""31021001""]","[""Laurie Santos""]",,The Science of Well-Being,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4a/c559836b6c413a94f36f37599e762f/BC-5768_VisMerch-Phase-3-Assets_Youtube_ScienceofWellBeing.png,"[""en""]",[],the-science-of-well-being,[],,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],[],QpKZ0NlIEe2hNRJwYmvh7w,v2.ondemand,"Ukraine must have existed as a society and polity on 23 February 2022, else Ukrainians would not have collectively resisted Russian invasion the next day.  

What does it mean for a nation to exist?  

Is this a matter of structures, actions, or both?  Why has the existence of Ukraine occasioned such controversy?  In what ways are Polish, Russian, and Jewish self-understanding dependent upon experiences in Ukraine?  Just how and when did a modern Ukrainian nation emerge?  For that matter, how does any modern nation emerge?  Why some and not others?  Can nations be chosen, and can choices be decisive?  If so, whose, and how?  Ukraine was the country most touched by Soviet and Nazi terror: what can we learn about those systems, then, from Ukraine?  Is the post-colonial, multilingual Ukrainian nation a holdover from the past, or does it hold some promise for the future?","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""128102367""]","[""Timothy Snyder""]",BEGINNER,The Making of Modern Ukraine,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/16/e7bb2e9c7544628533f14ccc7edb56/The-Making-of-Modern-Ukraine---Square.jpg,"[""en""]",[],the-making-of-modern-ukraine,[],,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",y0M4k8wzEeqy8BIjEXOigQ,v2.ondemand,"At first glance the fields of religion and ecology may seem and unlikely pairing, but a deeper consideration reveals the two have a great deal to contribute to one another and are indeed inextricably linked. Religions recognize the unity and interdependence of humans with nature. Ecological sciences affirm this deep interconnection with the natural world. This partnership can inspire work for the wellbeing of the Earth community

There is a need for broader literacy and deeper knowledge of the world’s religions and their ecological contributions. This specialization, ""Religions and Ecology: Restoring the Earth Community"", contributes such a perspective. Each course celebrates the vitality of religiously-informed action for the Earth and recognizes the longstanding contributions of Indigenous peoples in offering visions and practices for ecological flourishing. 

This is course 2 of 5 in the ""Religions and Ecology: Restoring the Earth Community"" specialization that focuses on the ecological dimensions of religious traditions throughout the world.

The course is designed as a gateway to the significant contributions of Indigenous peoples of Africa, Asia, the Americas, and Pacific Regions for environmental understanding. The diversity of Indigenous communities around the planet makes selective coverage necessary, but shared patterns of resilience manifest themselves worldwide. So much has emerged in the last several decades in understanding traditional environmental knowledge, as you will see.

This course is for lifelong learners curious to know more about world religions and ecology, environmental professionals eager to deepen the discourse of environmental protection and conservation, those working with non-profit organizations and NGOs on issues of ecological justice, and religion leaders and laity who wish to know how they can contribute to interreligious dialogue on environmental projects.","[{""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}]","[""20298730"", ""20444613""]","[""Mary Evelyn Tucker"", ""John Grim""]",BEGINNER,Indigenous Religions & Ecology,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2e/9bb9b731bf43ca9cea10a0d48ff2b6/Indigenous-Religious-Ecology---Square.jpg,"[""en""]",[],indigenous-religions-ecology,[],"  7 weeks of study, 2-3 hours per week",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",fPlpJwgtEeelAAr-cih0hg,v2.ondemand,"宇宙之旅是由不断进步的科学发现和人文科学交织组成的，历史、哲学、艺术、宗教统统都含括在内。

这门课由一系列20个与科学家与环境学家关于宇宙之旅的访谈组成。前10个访谈是与科学家和历史学家的访谈，它们帮助我们深化对宇宙、地球、人类进化过程的理解。后10个访问是与环境学家、教师和艺术家的访谈，它们探索了宇宙奥义和人类社会之间的联系。","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""20298730"", ""20444613""]","[""Mary Evelyn Tucker"", ""John Grim""]",,宇宙之旅：对话 (Journey of the Universe: Weaving Knowledge and Action),"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1e/e1a28be9cf43958d3fe2f831f800a0/Weaving-Knowledge-and-Action---Chinese---Square.jpg,"[""zh-CN""]",[],yuzhou-duihua,[],2小时观看视频／每周， 2小时读书和文章／每周,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",jsK6f9JWEe22kBKJMMgEQw,v2.ondemand,"ستُوفِّر الدورة التدريبية ""استخدام الوسائط الرقمية لتعزيز النتائج الصحية"" تدريبًا لمتخصصي الاتصالات في مجال الصحة للاستفادة من الرؤى الاجتماعية والسلوكية لتصميم الرسائل الصحية عبر الإنترنت وتنفيذها وتقييمها. تم تصميم هذه الدورة التدريبية لتكون برنامجًا تعليميًا شاملاً مستندًا إلى الأدلة حول الخطوات المنهجية الرئيسية لإعداد حملات صحية ناجحة وتنفيذها على مواقع التواصل الاجتماعي وتقييم أدائها ومدى تأثيرها على السلوك الصحي. سيتعرَّف الطلاب خلال الدورة التدريبية على أفضل الممارسات المتعلقة بتصميم الرسائل ومحتويات الحملات الإبداعية ذات الصلة. وفي نهاية الدورة التدريبية، سيكون الطلاب قادرين على تنفيذ استراتيجية اتصالات رقمية تشمل أهداف حملة قابلة للتحقيق، وكذلك تقييم مدى تأثيرها من خلال مقاييس الإعلانات وبيانات الاستطلاع والتكاليف ومؤشرات التغطية.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}]","[""118729838""]","[""Saad Omer""]",INTERMEDIATE,استخدام الوسائط الرقمية لتعزيز النتائج الصحية,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/67/a4fce97c2740c583e8cdf04e02941b/Digital-Media-for-Health-Outcomes---Arabic---Square.jpg,"[""ar""]",[],digital-media-health-outcomes-ar,[],"2-3 hours per week, 5 weeks",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",PI-xSbH_Ee2d3wo_DItpEw,v2.ondemand,"Dear Potential Learner,
 
Please take some time to read through this note before deciding to enroll.
 
This course, Narrative Economics, is relatively short and proposes a simple concept: we need to incorporate the contagion of narratives into our economic theory. You can think of narratives as stories that shape public beliefs, which in turn influence our decision making. Understanding how people arrived at certain decisions in the past can aid our understanding of the economy today and improve our forecasts of the future.

Popular thinking heavily influences our answers to questions such as how much to invest, how much to spend or save, whether to go to college or take a certain job, and many more. Narrative economics is the study of the viral spread of popular narratives that affect economic behavior. I believe incorporating these ideas into our research must be done both to improve our ability to anticipate and prepare for economic events and help us structure economic institutions and policy. Until we better incorporate it into our methods of analysis and forecasting, we remain blind to a very real, very palpable, very important mechanism for economic change. Even in the dawning age of the Internet and artificial intelligence, so long as people remain ultimately in control, human narratives will matter. Maybe they will especially matter as the new technology exploits human weaknesses and creates new venues for narrative contagion. If we do not understand the epidemics of popular narratives, we cannot fully understand changes in the economy and in economic behavior.
 
 The course is broken into 4 modules:
 
Part I introduces basic concepts and demonstrates how popular stories change over time to affect economic outcomes, including recessions, depressions and inequality as well as effective inspiration and growth.. These stories can be observed from diverse sources such as politics, the media, or even popular songs.
 
Part II seeks to answer why some stories go viral, while others are quickly forgotten, by defining our narrative theory more firmly. This module enumerates and explores a list of seven propositions to help discipline any analysis of economic narratives.
 
Part III examines nine perennial narratives that have proved their ability to influence important economic decisions. They include narratives regarding artificial intelligence, stock market bubbles, and job insecurity.
 
Part IV looks to the future and highlights the opportunities for consilience in Narrative Economics. We share some thoughts about where narratives are taking us at this point in history and what kind of future research could improve our understanding of them.
 
This course offers only the beginnings of a new idea and a few suggestions for how it could be used by economists and financial professionals. The tone is not prescriptive or authoritative, as perhaps my Coursera course, Financial Markets, is in places. It represents the beginning of the journey (epidemic). This course is my way of floating the “germ” of this idea out into the broader community of not only professionals but of anyone who is interested in discovering how and why things become “important” to us as a society. I hope some of you will become infected by this idea, mutate it, spread it, and advance it. The beginning of the journey is the easy part. The challenge will come in taking these concepts to the next level. We have the tools to incorporate narratives into our research and the moral obligation to act; only the work remains.

- Robert J. Shiller","[{""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""3543921""]","[""Robert Shiller""]",BEGINNER,Narrative Economics,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/81/59dc4f15084485bd8aeb75af426b05/Narrative-Economics---Square.jpg,"[""en""]",[],narrative-economics,[],"2 weeks, 4 hours total ",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",Jnqjmrn5Ee2MQBLdL5dNQQ,v2.ondemand,"The Digital Media for Health Outcomes (DMHO) course will train health communication professionals to leverage social and behavioral insights to design, implement and evaluate health communications online. The course is designed as a comprehensive and evidence-based tutorial on the key tactical steps to develop and implement successful health campaigns on social media, and to evaluate their performance and impact on health behavior. Throughout the course, students will explore best practices for designing relevant messages and campaign creatives. By the end of the course, students will be able to implement a digital communication strategy with actionable campaign objectives, and evaluate its impact through ad metrics, survey data, cost, and coverage indicators.

Yale is thrilled to offer this course fully translated in:
Arabic - https://www.coursera.org/learn/digital-media-health-outcomes-ar 
French - https://www.coursera.org/learn/digital-media-health-outcomes-fr 
Spanish - https://www.coursera.org/learn/digital-media-health-outcomes-es
Indonesian  - https://www.coursera.org/learn/digital-media-health-outcomes-id
Portuguese - https://www.coursera.org/learn/digital-media-health-outcomes-pt
Chinese - https://www.coursera.org/learn/digital-media-health-outcomes-zh-cn
Russian - https://www.coursera.org/learn/digital-media-health-outcomes-ru
Swahili - https://www.coursera.org/learn/digital-media-health-outcomes-sw","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}]","[""118729838""]","[""Saad Omer""]",INTERMEDIATE,"Digital Media for Health Outcomes, English","[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/48/3ab8b744db4bb89e5e988a25d73ba3/Digital-Media-for-Health-Outcomes---Square.jpg,"[""en""]",[],digital-media-health-outcomes-english,[],"2-3 hours per week, 5 weeks",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",naspMggtEeeZLgqyPWM7qg,v2.ondemand,"Thomas Berry(1914-2009)是一位研究世界宗教的历史学家，并且很早就对于唤醒对于环境危机的敏感性表达意见。他最知名的研究莫过于他的关于宇宙的“新的故事”，“新的故事”包括了进化科学和传统文化用来创造繁荣的未来。

这门课研究了Berry的一生并且联系到了宇宙之旅的项目之中。我们抽取了他的著作，文章还有以前的讲课录像，都是为了研究Berry的理念，包括了“新的故事”，“伟大的使命”，还有新兴的生态时代。这门课深入地研究了Berry对于宇宙的见解，
定位人类在动态无垠的宇宙中的位置和参与到我们时代的创造工作中。我们会着重研究Berry对于生态，经济，教育，灵魂，艺术时代更新和重塑。

课程的原理：
Thomas Berry是原生的创造性综合性思想家，特别关注于我们全球环境危机的本质。他对于生态危机的回应体现了他的智慧，这回应是在进化论的背景下，应该把人类和科学带到一起。另外，他解释道，我们对于世界宗教的参与的需求也是可以用来解决环境问题。
他从研究宇宙学和宗教传统，并结合两者开始实现。感知到故事作为功能宇宙学的重要性，他开始探索这些故事的广泛影响并且通过传统进行传播，用例子来说明的话，就是仪式，道德和生存之道。","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}]","[""20298730"", ""20444613""]","[""Mary Evelyn Tucker"", ""John Grim""]",,Thomas Berry的世界观：地球社区的繁荣 (The Worldview of Thomas Berry: The Flourishing of the Earth Community),"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9e/10dded7a7c4c76b162adf6f7888932/Worldview-of-Thomas-Berry_-The-Flourishing-of-the-Earth-Community---Chinese---Square.jpg,"[""zh-CN""]",[],diqiu-fanrong,[],每周1-3小时学习时间，共7周,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",YUAc977OEeWk7gqXCJNO4w,v2.ondemand,"Welcome to an Introduction to Breast Cancer!  In this course, we’ll learn a bit about the leading cause of cancer in women worldwide – from the basic biology of the disease, to risk factors and prevention, to treatment modalities to survivorship.  We’ll talk to leading experts, explore some of the milestone studies that have pushed this field forward, and have interactive discussions on discussion boards and social media.  You’ll even have an opportunity to let us know what topics you want to cover on tweetchats, so we can try to make the content fit your interests.  

There is something in this course for everyone – if you’re a breast cancer survivor or the friend/family member of someone with this disease, this course will help you to better understand this disease, and give you ideas for questions you may want to ask your doctor.  Maybe you’re a healthcare provider or studying to be the same, this course is a great refresher on where the state of the science is.  If you’re a healthcare administrator wondering about how the interdisciplinary components of breast cancer care fit together, or an entrepreneur thinking about unmet needs in this space, or someone in public health interested in prevention, this course is also for you!

Are you ready to learn a lot, and have some fun while we’re at it?  If so, I hope you’ll join us!  Let’s get started!!!","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}]","[""5377163""]","[""Anees B. Chagpar, MD, MSc, MPH, MA, MBA, FRCS(C), FACS""]",,Introduction to Breast Cancer,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/34/cf9de183d142dc9f9c718dbbed318a/Introduction-to-Breast-Cancer---Square.jpg,"[""en""]",[],breast-cancer-causes-prevention,[],,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",mtxJvwaeEey7UArf-9pKDQ,v2.ondemand,"In this class, we present a broad overview of the field of medical software.  You will learn from Yale professors and a series of industry experts who connect the course concepts to their real world applications.

We begin by discussing medical device regulatory structures, data privacy and cybersecurity regulations, and key support technologies such quality management systems and risk management. We then take a detailed look at the medical software life cycle, starting with identifying user needs, mapping these to system requirements and then the process of software design, coding, testing and validation. We continue by exploring issues related to the use of machine learning techniques in medical applications from both a software engineering and a regulatory perspective. We conclude with a discussion of the business and management issues in this area focusing on the impact on digital health on modern healthcare and issues related to starting new ventures.

This is a class aimed at either third- or fourth-year undergraduates in computer science, biomedical engineering, and related fields, and to junior software engineers currently either working in, or interested in moving to, the medical device industry.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""95127527""]","[""Xenophon Papademetris""]",INTERMEDIATE,Introduction to Medical Software,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c4/8a3d63f17c41b1841791c42e57ed5f/Introduction-to-Medical-Software---Square.jpg,"[""en""]",[],introduction-to-medical-software,[],"12 weeks of study, 5-7 hours/week",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",GVM_iUAKEe2G8Are2MuL1Q,v2.ondemand,"In an ever-changing and digitally connected world, the need for human centered and connected leadership is crucial. 

This course is designed to maximize your ability to create change at the individual, team and system levels. Through study, reflection, and deploying practical tools, you will establish a firm connection between your clearly articulated Purpose, effective Priorities, visualized Potential for success, and pathway to maximized Progress. But, what does that mean in practice?

When you take this course, you will: 
- Improve your ability to get the most out of life: Learn a simple practice to reflect on your purpose, clarify priorities, visualize your potential, and maximize your effectiveness at progressing towards your goals.
- Strengthen your leadership toolkit: Tap into your unique leadership style and strengths and join or create a community of others to maximize your potential as a team.
- Create change through systems thinking: Become a more effective agent of positive change and appreciate the power and complexity of system thinking.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""115984034""]","[""Peter Boyd""]",INTERMEDIATE,Connected Leadership,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5a/a5c28dad2a4ac3aa1145098adb04cd/Connected-Leadership---Square.jpg,"[""en""]",[],connected-leadership,[],"5 weeks of study, 3 hours per week",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",BhX8aeBGEe2nnBJXwaSqgQ,v2.ondemand,"The first learner to complete the course ranked it in his personal top 3 out of 250+ Coursera courses he had taken over 13 years, calling it “Amazing.” Prof. Cain has since made it even stronger...

In The Psychology of Negotiation: How to Find Elegant Trades, Yale School of Management’s award-winning faculty member Dr. Daylian Cain reveals the hidden psychology behind masterful deals. You’ll learn field-tested tools—MESOs, Post-Settlement Settlements, Menus, Strategic Questions, and Contingent Contracts—while exploring Yale’s iconic “Story of the Tree” and “Theory of the Pie.”
No pressure tactics or tricks. Just the real mindset and instincts of highly effective negotiators.

Want powerful sales and negotiation tools delivered through easy-to-digest stories in under 10 hours? Take this course.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""23999291""]","[""Daylian Cain""]",BEGINNER,The Psychology of Negotiation: How to Find Elegant Trades,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/db/4372112e9846b7bdd876b16aa0587a/Psychology_New_Course_Image.jpg.png,"[""en""]",[],psychology-of-negotiation,[],1 Week. Less than 10 hours total.,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",wZjzNQk_Ee6KYw6BBI2y_w,v2.ondemand,"Курс «Цифровые медиа в сфере здравоохранения» (DMHO) готовит специалистов по коммуникациям в области здравоохранения и учит их использовать социальный и поведенческий анализ для разработки, внедрения и оценки коммуникаций в области здравоохранения в Интернете. Курс представляет собой всеобъемлющее, основанное на фактических данных учебное пособие по ключевым тактическим шагам для разработки и реализации успешных кампаний в области здравоохранения в социальных сетях, а также для оценки их эффективности и влияния на поведение в отношении здоровья. На протяжении всего курса учащиеся будут изучать лучшие практики создания соответствующих сообщений и креативов кампаний. В конце курса учащиеся смогут создать стратегию цифровой коммуникации в соответствии с практическими целями кампании и оценить ее влияние с помощью рекламных метрик, данных опросов, оценки затрат и показателей охвата.

Йельский университет рад предложить этот курс, полностью переведенный на следующие языки:
Арабский: https://www.coursera.org/learn/digital-media-health-outcomes-ar 
Французский: https://www.coursera.org/learn/digital-media-health-outcomes-fr 
Испанский: https://www.coursera.org/learn/digital-media-health-outcomes-es","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}]","[""118729838""]","[""Saad Omer""]",INTERMEDIATE,Цифровые медиа в сфере здравоохранения,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0d/ed2a82fca0423e9bdb51040f8badfb/Digital-Media-for-Health-Outcomes---Russian---Square.jpg,"[""ru""]",[],digital-media-health-outcomes-ru,[],"2–3 часа в неделю, 5 недель",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",mShQi8YfEeWg0QoHq3JjoQ,v2.ondemand,"Roman Architecture is a course for people who love to travel and want to discover the power of architecture to shape politics, society, and culture.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""3498945""]","[""Diana E.E. Kleiner""]",BEGINNER,Roman Architecture,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/eb/c30a9b06714ae790b3813492bf46cf/Roman-Architecture---Square.jpg,"[""en""]",[],roman-architecture,[],,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",Fcy15yfqEeuttwrdzHgSRw,v2.ondemand,"Uma visão geral das ideias, métodos e instituições que permitem que a sociedade humana gerencie riscos e estimule o empreendimento.  Ênfase nas habilidades de liderança com experiência financeira. Descrição das práticas hoje e análise de perspectivas para o futuro. Introdução aos princípios de gestão de risco e finanças comportamentais para compreender o funcionamento do mundo real dos setores de títulos, seguros e bancos.  O objetivo final deste curso é usar essas indústrias de forma eficaz e para uma sociedade melhor.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}]","[""3543921""]","[""Robert Shiller""]",BEGINNER,Mercados financeiros,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/52/fbeeff83434db7b7769732f2a1a8f8/Financial-Markets-2017---Portuguese---Square.jpg,"[""pt-BR""]",[],financial-markets-global-pt,[],"7 semanas de estudo, 3 - 4 horas por semana",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",--brbbnkEe2oxw5qVgw_VQ,v2.ondemand,"Have you ever wondered what it would be like to create real change? You don't have to start your own organization to make a difference in the world. Everyone can learn the social entrepreneurship mindset and skillset to build social impact. In this course, you will immerse yourself in a social or environmental challenge you want to tackle. You'll start by researching your topic of choice, talking to people, and ideating a potential solution that you can contribute. Then, you'll build a business model around that solution, understanding concepts like measuring social change, ensuring financial viability, funding and pitching. This course is a safe space to experiment and explore. You'll be guided by a ten stage framework to help structure your journey. Along the way, you'll hear from social entrepreneurs around the world through case studies and campus conversations. These include Yale alumni, members of the New Haven community, and global changemakers. Everyone is welcome to join this course! You can apply your lived, learned, or professional experience to discover how you're going to make a difference.","[{""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}, {""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""102820777""]","[""Teresa Chahine""]",BEGINNER,Creating Change through Social Entrepreneurship,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e6/3ceae366ca4d6f94db5c393339166f/Creating-Change-through-Social-Entrepreneurship---Square.jpg,"[""en""]",[],creating-change-through-social-entrepreneurship,[],,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert"", ""Specialization""]",KEFD9MgtEemfZAp9ePwIcA,v2.ondemand,"This course has two main parts, one for the lower extremity and the other for the upper extremity.  We will show how the various systems that supply and organize the limb control its function. There are a set of introductory lectures which will allow more experienced students to refresh their knowledge of the limbs and a guide to those with less experience. These lectures will be followed by detailed dissections of the extremities emphasizing locomotion for the lower extremities and hand positioning and function for the upper extremities.


This course is part 2/4 in  the Yale Human Anatomy Specialization.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}]","[""31963176"", ""31115628"", ""21782129""]","[""Shanta Kapadia"", ""William B. Stewart "", ""Charles Duncan""]",INTERMEDIATE,Anatomy of the Upper and Lower Extremities ,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e1/2e785d48a74794a013d1d96d4bdbc0/Anatomy-of-the-Upper-and-Lower-Extremities---Square.jpg,"[""en""]",[],anatomy-extremeties,[],"7 weeks of study, 2-3 hours per week",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",Y5ibViS4EeuivA7R590UPw,v2.ondemand,"Этот курс поможет вам лучше вести переговоры. В отличие от многих курсов по ведению переговоров мы разрабатываем основу для анализа и формирования процесса переговоров. Именно она позволит вам привести принципиальные аргументы, чтобы убедить других. Это позволит вам увидеть, что на самом деле является причиной явных конфликтов, чтобы понять интересы сторон. По окончании курса вы сможете лучше предугадывать, интерпретировать и формировать поведение тех, с кем вы сталкиваетесь в конкурентных ситуациях.

В рамках данного курса у вас будет несколько возможностей вести переговоры с другими участниками курса, используя кейсы, основанные на самых распространенных ситуациях в бизнесе и жизни. Вы можете получить обратную связь о своей работе и сравнить свой подход к определенному сценарию с подходом других учащихся. В рамках кейсов вы обсудите широкий круг тем, в том числе научитесь тому, как подготовиться к переговорам, выставлять ультиматумы, избегать сожалений, увеличить долю пирога и как общаться с людьми, у которых свой особый взгляд на мир. К дополнительным темам относятся: ведение переговоров в отсутствие полномочий, переговоры по электронной почте и роль гендерных различий в переговорах. В завершение курса мы узнаем инсайты трех экспертов в области переговоров: Linda Babcock, Herb Cohen и John McCall MacBain. Желаем вам приятного времяпрепровождения.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""473433""]","[""Barry Nalebuff""]",,Введение: как стать убедительным переговорщиком,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/04/118d9e26524b31a06c68bc5357f278/Introduction-to-Negotiation_-A-Strategic-Playbook-for-Becoming-a-Principled-and-Persuasive-Negotiator---Russian---Square.jpg,"[""ru""]",[],negotiation-ru,[],,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",jJ6ZxPrdEee5DBIdFhoH_A,v2.ondemand,"What are people most afraid of? What do our dreams mean? Are we natural-born racists? What makes us happy? What are the causes and cures of mental illness? This course tries to answer these questions and many others, providing a comprehensive overview of the scientific study of thought and behavior. It explores topics such as perception, communication, learning, memory, decision-making, persuasion, emotions, and social behavior.  We will look at how these aspects of the mind develop in children, how they differ across people, how they are wired-up in the brain, and how they break down due to illness and injury.","[{""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}]","[""1513337""]","[""Paul Bloom""]",BEGINNER,Introduction to Psychology ,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/22/41a4e9c20242f3806fde00c445e1b5/BC-5768_VisMerch-Phase-3-Assets_PartnerColorBlock_Yale_IntrotoPsychology.png,"[""en""]",[],introduction-psychology,[],,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",XwMfpggtEeeIbxIwEXsqPA,v2.ondemand,"关于这门课程：宇宙之旅是由不断进步的科学发现和人文科学交织组成的，历史、哲学、艺术、宗教统统都含括在内。这门课以艾美奖获奖影片-宇宙之旅，以及耶鲁大学出版社出版的课本作为主要教材。

旅程探索了宇宙的进化，这些进化就像是一套建立在关联、独立和进化之上的奇妙过程。它带我们重新审视星系、地球、生命和人类社会之间的动态交互。它探索了我们了解进化的过程以及对人类和生态环境的启示。

因此，这门旅行课程是自然科学和人文科学的融合。这趟旅行是以一种史诗旁白的形式进行推进的，而不是讲述一系列遵从自然科学的事实。这会改变我们的认知并让我们可以将自身带入到旁白之中。通过这种代入感，我们可以更好的理解这一系列过程的复杂性和美感，例如自组织演化、自然选择、进化、协作、协同进化。当我们发现了解了了这些错综复杂的进化过程之后，我们突然发现到我们所生活的地球正处在其自身历史上的重要转折点，纷繁复杂却又美轮美奂。","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}]","[""20298730"", ""20444613""]","[""Mary Evelyn Tucker"", ""John Grim""]",,宇宙之旅：展现生命 (Journey of the Universe: The Unfolding of Life),"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/de/5b7a56ef724707acf480046049a06d/Journey-of-the-Universe---Chinese---Square.jpg,"[""zh-CN""]",[],yuzhou-zhi-lu,[],2小时观看视频／每周， 2小时读书和文章／每周,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",eV-OTCTuEeWCGRL6mLoB5w,v2.ondemand,"Using a simple and enjoyable teaching style, this course introduces the novice listener to the wonders of classical music, from Bach fugues to Mozart symphonies to Puccini operas.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""1624998""]","[""Craig Wright""]",,Introduction to Classical Music,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e4/c8daace0af454383db8361d53e68bc/Introduction-to-Classical-Music---Square.jpg,"[""en""]",[],introclassicalmusic,[],"9 weeks, 2 - 3 hours per week",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",tjqUXz-5EeWpogr5ZO8qxQ,v2.ondemand,"Former U.S. Secretary of the Treasury Timothy F. Geithner and Professor Andrew Metrick survey the causes, events, policy responses, and aftermath of the recent global financial crisis.","[{""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""14470269"", ""15814936""]","[""Andrew Metrick"", ""Timothy Geithner""]",,The Global Financial Crisis,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e1/39b435c3a741f099440adfeb7ffeeb/The-Global-Financial-Crisis---Square.jpg,"[""en""]",[],global-financial-crisis,[],"11 weeks of study, 4-6 hours/week",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],[],TOTCrwrbEe66Lw5udPaUWw,v2.ondemand,"Ukraine must have existed as a society and polity on 23 February 2022, else Ukrainians would not have collectively resisted Russian invasion the next day.  

What does it mean for a nation to exist?  

Is this a matter of structures, actions, or both?  Why has the existence of Ukraine occasioned such controversy?  In what ways are Polish, Russian, and Jewish self-understanding dependent upon experiences in Ukraine?  Just how and when did a modern Ukrainian nation emerge?  For that matter, how does any modern nation emerge?  Why some and not others?  Can nations be chosen, and can choices be decisive?  If so, whose, and how?  Ukraine was the country most touched by Soviet and Nazi terror: what can we learn about those systems, then, from Ukraine?  Is the post-colonial, multilingual Ukrainian nation a holdover from the past, or does it hold some promise for the future?","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""128102367""]","[""Timothy Snyder""]",BEGINNER,Становление современной Украины,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8d/799fcb3df34abea36b4a26fc743395/The-Making-of-Modern-Ukraine---Russian---Square.jpg,"[""ru""]",[],the-making-of-modern-ukraine-ru,[],,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",LANMc0UsEeaJwxI8cURk2w,v2.ondemand,"Journey of the Universe weaves together the discoveries of the evolutionary sciences together with humanities such as history, philosophy, art, and religion.  The course draws on the Emmy-award winning film, Journey of the Universe, and the book from Yale University Press. 

Journey explores cosmic evolution as a creative process based on connection, interdependence, and emergence.  It examines a range of dynamic interactions in the unfolding of galaxies, Earth, life, and human communities. It investigates ways in which we understand evolutionary processes and the implications for humans and our ecological future.  

The Journey course, thus, is based on a new integration that is emerging from the dialogue of the sciences and humanities. Journey tells the story of evolution as an epic narrative, rather than as a series of facts separated by scientific disciplines. This changes our perception so that we begin to see ourselves as an integral part of this narrative. By situating ourselves within this story we can better appreciate the complexity and beauty of processes such as self-organizing dynamics, natural selection, emergence, symbiosis, and co-evolution. As we discover these intricate processes of evolution, we awaken to the beauty and complexity of our natural environment at this critical juncture in our planetary history.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}]","[""20444613"", ""20298730""]","[""John Grim"", ""Mary Evelyn Tucker""]",,Journey of the Universe: The Unfolding of Life,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2e/dc01140871461797dabadc28a63667/Journey-of-the-Universe---Square.jpg,"[""en""]",[],journey-of-the-universe,[],2 hours of viewing lectures/week and 2 hours of reading books and articles/week ,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",ZqjDs9JWEe2_vw4ejszVZQ,v2.ondemand,"En el curso Medios digitales para recursos sanitarios (DMHO), se capacita a los profesionales de la comunicación sanitaria para que aprovechen las perspicacias sociales y conductuales en el diseño, la implementación y la evaluación de las comunicaciones sobre salud en línea. El curso está diseñado como un tutorial integral y basado en pruebas que expone los pasos tácticos principales para diseñar e implementar campañas de salud exitosas en las redes sociales y para evaluar su rendimiento e impacto en las conductas sanitarias. Durante el curso, los estudiantes explorarán las prácticas recomendadas para diseñar mensajes pertinentes y contenidos creativos de la campaña. Al final del curso, los estudiantes serán capaces de implementar una estrategia de comunicación digital con objetivos de campaña accionables y evaluar su impacto a través de métricas de los anuncios, datos de encuestas, costos e indicadores de cobertura.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}]","[""118729838""]","[""Saad Omer""]",INTERMEDIATE,Medios digitales para resultados sanitarios,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/06/01a943a6a449279cee89206d00f674/Digital-Media-for-Health-Outcomes---Spanish---Square.jpg,"[""es""]",[],digital-media-health-outcomes-es,[],"De 2 a 3 horas por semana, 5 semanas",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",5Nb9eSfpEeuAVg6ceWvsMw,v2.ondemand,"Présentation des idées, des méthodes et des institutions qui permettent à la société humaine de gérer les risques et d'encourager l'esprit d'entreprise.  Les compétences en matière de leadership financier sont ici mises en avant. Description des pratiques actuelles et analyse des perspectives d'avenir. Présentation de la gestion des risques et des principes de la finance comportementale pour comprendre le fonctionnement réel des secteurs des titres, des assurances et des banques.  Dans ce cours, vous apprendrez à exploiter efficacement ces secteurs pour améliorer notre société.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}]","[""3543921""]","[""Robert Shiller""]",BEGINNER,Marchés financiers,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/44/dda38eec7a47e5a757feb849a48c5b/Financial-Markets-2017---French---Square.jpg,"[""fr""]",[],financial-markets-global-fr,[],"7 semaines de formation, 3 à 4 heures par semaine",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",UQKH4swzEeqMpw5ihPi4Yw,v2.ondemand,"At first glance the fields of religion and ecology may seem and unlikely pairing, but a deeper consideration reveals the two have a great deal to contribute to one another and are indeed inextricably linked. Religions recognize the unity and interdependence of humans with nature. Ecological sciences affirm this deep interconnection with the natural world. This partnership can inspire work for the wellbeing of the Earth community

There is a need for broader literacy and deeper knowledge of the world’s religions and their ecological contributions. This specialization, ""Religions and Ecology: Restoring the Earth Community"", contributes such a perspective. Each course celebrates the vitality of religiously-informed action for the Earth and recognizes the longstanding contributions of Indigenous peoples in offering visions and practices for ecological flourishing. 

This course is part 5 of 5 of the ""Religions and Ecology: Restoring the Earth Community"" specialization that focuses on the ecological dimensions of religious traditions throughout the world.

The course you are about to begin is designed as a gateway to these aspects of the three Western religions of Judaism, Christianity, and Islam. So much has emerged in the last several decades in this area, as you will see. While we have taught this course at Yale, we have adapted it for learners from a wide range of backgrounds.

This course is for lifelong learners curious to know more about world religions and ecology, environmental professionals eager to deepen the discourse of environmental protection and conservation, those working with non-profit organizations and NGOs on issues of ecological justice, and religion leaders and laity who wish to know how they can contribute to interreligious dialogue on environmental projects.","[{""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""20298730"", ""20444613""]","[""Mary Evelyn Tucker"", ""John Grim""]",BEGINNER,Western Religions & Ecology,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/84/abaa7f13824267baaf9f7d91469a8f/Western-Religions-Ecology---Square.jpg,"[""en""]",[],western-religions-ecology,[],"8 weeks of study, 2-3 hours per week",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",CrTQ-HcpEe24qw7yCbSVjw,v2.ondemand,"A recent survey found that 37% of teens say they have poor mental health. This 6-week course aims to curb this mental health crisis by bringing together the best insights from Dr. Laurie Santos’ popular Yale course Psychology and the Good Life. In this course, you will explore what the field of psychology teaches us about how to be happier, how to feel less stressed, and how to thrive in high school and beyond. The lessons along with short weekly ‘happiness homework’ assignments will ultimately prepare you to put these scientific findings into practice. The ultimate goal is for you to feel better and build healthier habits. Parents, teachers, and other professionals supporting teenagers may also find the course beneficial.
 
Note: This course does not confer Yale University grade, credit or student status.
 
THE SCIENCE OF WELL-BEING FOR TEENS WAS PRODUCED IN PART DUE TO THE GENEROUS FUNDING OF THE ARTHUR M. BLANK FAMILY FOUNDATION AND THE JOHN TEMPLETON FOUNDATION.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""31021001""]","[""Laurie Santos""]",BEGINNER,The Science of Well-Being for Teens,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/df/fc9f23aa394682a64045ed2174d668/The-Science-of-Well-Being-for-Teens---Square.jpg,"[""en""]",[],the-science-of-well-being-for-teens,[],"6 weeks of study, 2-3 hours/week",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",0t-vNifpEeueNgoVH3tVbQ,v2.ondemand,نظرة عامة حول الأفكار والأساليب والمؤسسات التي تسمح للمجتمع الإنساني بإدارة المخاطر وتعزيز المشروعات.  التركيز على مهارات قيادية ذكية ماليًا. وصف لممارسات اليوم وتحليل آفاق المستقبل. تعريف بإدارة المخاطر ومبادئ المالية السلوكية لفهم لطريقة عمل قطاعات الأوراق المالية والتأمين والمصارف في أرض الواقع.  الهدف الرئيس من هذه الدورة هو الاستفادة من هذه القطاعات على نحو فعّال ولتأسيس مجتمع أفضل.,"[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}]","[""3543921""]","[""Robert Shiller""]",BEGINNER,الأسواق المالية,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b3/9782c8a5aa4194945e74159d886658/Financial-Markets-2017---Arabic---Square.jpg,"[""ar""]",[],financial-markets-global-ar,[],7 أسابيع دراسية، 3 - 4 ساعات في الأسبوع,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",nuwC1w5dEfC2IxIKAKPIqQ,v2.ondemand,"Feeling overwhelmed by the unique challenges of modern parenting? Join Professor Laurie Santos in The Science of Well-Being for Parents— a free online course that explores science-backed strategies for happier parenting. Together, we'll tackle topics like rethinking time management, dealing with tough feelings like guilt and frustration, and navigating your child's academic stress and screen time. Through engaging lessons and parent Q&As, you'll learn how to reframe your thoughts, manage your emotions, and modify your behaviors in response to everyday challenges. We'll apply the latest research in psychological science to the joys and struggles of raising kids, helping you build more effective family dynamics and avoid the trap of overparenting. And you'll see that prioritizing your own well-being, you're not just helping yourself – you're also better equipped to show up for your kids and create a happier, healthier family life.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}]","[""31021001""]","[""Laurie Santos""]",BEGINNER,The Science of Well-Being for Parents,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/84/d45039302343e7a3c3478194076d45/The-Science-of-Well-Being-for-Parents---Square.jpg,"[""en""]",[],the-science-of-well-being-for-parents,[],30min/week,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",buSisSfqEeuAVg6ceWvsMw,v2.ondemand,"Una síntesis de las ideas, métodos e instituciones que permiten que la sociedad humana pueda gestionar los riesgos y promover la actividad empresarial.  Un énfasis en las habilidades de liderazgo con conocimientos financieros profundos. Descripción de las prácticas actuales y el análisis de prospectos a futuro. Introducción a los principios de gestión de riesgos y de las finanzas conductuales para comprender el funcionamiento en el mundo real de las industrias de valores, seguros y el sector bancario.  El objetivo primordial de este curso es utilizar esas industrias de manera efectiva y orientada a una sociedad mejor.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}]","[""3543921""]","[""Robert Shiller""]",BEGINNER,Mercados financieros,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4e/b5a4c1aa3546329bd4fddc95c08219/Financial-Markets-2017---Spanish---Square.jpg,"[""es""]",[],financial-markets-global-es,[],"7 semanas de estudio, 3 o 4 horas por semana",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert"", ""Specialization""]",RdYEikUsEeawjgp7XHTShQ,v2.ondemand,"Journey of the Universe weaves together the discoveries of the evolutionary sciences together with humanities such as history, philosophy, art, and religion.  This course draws on the Journey of the Universe Conversations, a series of 20 interviews with scientists and environmentalists. The first 10 interviews are with scientists and historians who deepen our understanding of the evolutionary process of universe, Earth, and humans. The second 10 interviews are with environmentalists, teachers, and artists who explore the connections between the universe story and the practices for a flourishing Earth community.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""20444613"", ""20298730""]","[""John Grim"", ""Mary Evelyn Tucker""]",,Journey Conversations: Weaving Knowledge and Action,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d3/325e3edd6143afb93c3672b065c4cd/Weaving-Knowledge-and-Action---Square.jpg,"[""en""]",[],journey-knowledge-action,[],2 hours of viewing lectures/week and 2 hours of reading books and articles/week ,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert"", ""Specialization""]",pXNIGMgtEemKrA4zJxEYYA,v2.ondemand,"This course teaches learners the underlying principles behind conventional radiography, computerized axial tomography (CT), magnetic resonance imaging (MRI), and ultrasound. The radiology of chest, abdomen, pelvis, extremities, spine and brain are taught in this course using a combination of lectures and extensive practical activities and assessments. 

By the end of the course you will be able to:
Describe the principles of conventional radiography, CT MRI and ultrasound
Describe systematic approaches to imaging interpretation
Describe the use of windowing in CT
Describe sequences in MRI and their relevance. 

This course is part 4/4 in the Yale Human Anatomy Specialization.

Topics covered in the lectures include: Introductions to conventional radiography, computerized tomography (CT), ultrasound, magnetic resonance imaging (MRI), chest radiology, CT of chest, chest radiology: introduction to pathology, normal CT anatomy of the abdomen, renal anatomy, colon cancer, renal neoplasm, normal pelvic imaging, normal male pelvis imaging, normal female pelvis imaging, radiology of the upper extremities, radiology of the lower extremities, musculoskeletal imaging modalities, introduction to spine radiographs, skull radiography, brain CT imaging fundamentals, brain CT imaging pathology, brain: magnetic resonance imaging (MRI), and brain MRI pathology","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}]","[""31115628"", ""21782129""]","[""William B. Stewart "", ""Charles Duncan""]",INTERMEDIATE,Visualizing the Living Body: Diagnostic Imaging,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fe/9bec12036945e1aba6360a6c041107/Visualizing-the-Living-Body_-Diagnostic-Imaging---Square.jpg,"[""en""]",[],diagnosticimaging,[],"7 weeks of study, 2-3 hours per week",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",jW1yfMwzEeqUchLV5-K1dQ,v2.ondemand,"At first glance the fields of religion and ecology may seem and unlikely pairing, but a deeper consideration reveals the two have a great deal to contribute to one another and are indeed inextricably linked. Religions recognize the unity and interdependence of humans with nature. Ecological sciences affirm this deep interconnection with the natural world. This partnership can inspire work for the wellbeing of the Earth community

There is a need for broader literacy and deeper knowledge of the world’s religions and their ecological contributions. This specialization, ""Religions and Ecology: Restoring the Earth Community"", contributes such a perspective. Each course celebrates the vitality of religiously-informed action for the Earth and recognizes the longstanding contributions of Indigenous peoples in offering visions and practices for ecological flourishing. 

This course is part 3 of 5 of the ""Religions and Ecology: Restoring the Earth Community"" specialization that focuses on the ecological dimensions of religious traditions throughout the world.

The course you are about to begin is designed as a gateway to these aspects of the South Asian religions, philosophies, and practices of Hinduism, Jainism, Yoga, Buddhism, Sikhism, and Baha’i Faith. So much has emerged in the last several decades in this area, as you will see. While we have taught this course at Yale, we have adapted it for learners from a wide range of backgrounds.

This course is for lifelong learners curious to know more about world religions and ecology, environmental professionals eager to deepen the discourse of environmental protection and conservation, those working with non-profit organizations and NGOs on issues of ecological justice, and religion leaders and laity who wish to know how they can contribute to interreligious dialogue on environmental projects.","[{""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""20298730"", ""20444613""]","[""Mary Evelyn Tucker"", ""John Grim""]",BEGINNER,South Asian Religions & Ecology,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7f/a58c36d5ed4dd586189830d4a6856f/South-Asian-Religions-Ecology---Square.jpg,"[""en""]",[],south-asian-religions-ecology,[],"8 weeks of study, 2-3 hours per week",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",0hFznUu7Ee2duhJkJYfIJQ,v2.ondemand,"Dyslexia is everywhere, touching so many children and adults, and while science has made extraordinary progress in understanding and clarifying the condition, this incredible powerful knowledge rarely reaches those who most need to know and would greatly benefit from it. Our goal is to change all this with the course you are about to view, produced by Dr. Sally Shaywitz, the Audrey G. Ratner Professor in Learning Development, both the leading scientist studying dyslexia and the most devoted advocate for helping those who are dyslexic.

The course addresses and answers just about all the questions you have: beginning with what is reading and what is dyslexia and sharing with you the most up-to-date 21st century federal definition of dyslexia. If you are dyslexic, you’ll come to learn you are not alone – dyslexia is very common affecting one out of five, that is, 20% of the population, including both boys and girls all over the world. The course addresses a major question we hear from so many parents and teachers– how do I know if my child may be dyslexic? What signs or symptoms should I be on the lookout for? And here’s another very important question we hear from so many parents and educators who are eager to do the best for their child – when should screening for dyslexia begin? What is the best method? What should I look for or ask about?

A major source of worry for parents is their child’s slow reading- they ask will this prevent a happy future for the child. Yes, dyslexics are slow readers and here, in Coursera, you will come to understand the brain’s role in dyslexia, including slow reading. Great news to share – you will also be so delighted to learn that surrounding a dyslexic’s slow reading is a phenomenal powerful sea of strengths in big picture thinking and reasoning. Dyslexia is a true paradox: dyslexics may be slow readers but at the same time are incredibly fast thinkers! 

You can be assured, if you care about a child or someone who is dyslexic and have questions or concerns, you will find it addressed here in this course: everything important to know about and help you select the most effective interventions for a dyslexic child; how to go about choosing the best school, including potentially one that is specialized, for such a child, including what is most important to look for when visiting a potential school; the role of accommodations and how to select the best one; and common co-occurring conditions like ADHD and anxiety – their impact, how to recognize and treat. In the following lessons you will meet wonderful, incredibly insightful and highly successful dyslexics – including governors, cardiac surgeons, nationally renowned attorneys, basketball coaches, economists and dyslexic children and their wonderful families who will share their experiences and advice. Enjoy!","[{""domainId"": ""life-sciences"", ""subdomainId"": ""research""}, {""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}]","[""117644312"", ""75757625""]","[""Sally E Shaywitz M.D."", ""Bennett Shaywitz""]",BEGINNER,Overcoming Dyslexia,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5e/1631ebb515445d93d42a6f69d897e9/Overcoming-Dyslexia---Square.jpg,"[""en""]",[],dyslexia,[],"8 weeks of study, 1-2 hours per week",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",5afSO-9VEem5hAoTk7uzWg,v2.ondemand,"How can you tell if the bold headlines seen on social media are truly touting the next big thing or if the article isn't worth the paper it's printed on? 

Understanding Medical Studies, will provide you with the tools and skills you need to critically interpret medical studies, and determine for yourself the difference between good and bad science. 

The course covers study-design, research methods, and statistical interpretation. It also delves into the dark side of medical research by covering  fraud, biases, and common misinterpretations of data. Each lesson will highlight case-studies from real-world journal articles.

By the end of this course, you'll have the tools you need to determine the trustworthiness of the scientific information you're reading and, of course, whether or not your Facebook friend is wrong.

This course was made possible in part by the George M. O'Brien Kidney Center at Yale.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""research""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""55245057""]","[""F. Perry Wilson""]",BEGINNER,Understanding Medical Research: Your Facebook Friend is Wrong,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/12/0ed693eeaa4f63863884dc96dc65b5/Understanding-Medical-Research_-Your-Facebook-Friend-is-Wrong---Square.jpg,"[""en""]",[],medical-research,[],6 weeks at 3-4 hours/week,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",aAo9tS8NEeWv_w7cMMH1Uw,v2.ondemand,An introduction to basic techniques of constitutional interpretation.,"[{""subdomainId"": ""law"", ""domainId"": ""social-sciences""}]","[""3544181""]","[""Akhil Reed Amar""]",,America's Unwritten Constitution,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/84/d754172682409498b431b293e36e24/America-s-Unwritten-Constitution---Square.jpg,"[""en""]",[],unwritten-constitution,[],12-15 hours/week,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",WXt3PEUsEeaDRhLb8lAaNw,v2.ondemand,"Thomas Berry (1914-2009) was a historian of world religions and an early voice awakening moral sensibilities to the environmental crisis.  He is known for articulating a “new story” of the universe that explores the implications of the evolutionary sciences and cultural traditions for creating a flourishing future.  

This course investigates Berry’s life and thought in relation to the Journey of the Universe project.  It draws on his books, articles, and recorded lectures to examine such ideas as: the New Story, the Great Work, and the emerging Ecozoic era.  The course explores Berry’s insights into cosmology as a context for locating the human in a dynamic unfolding universe and thus participating in the creative work of our times. In particular, we will examine Berry’s reflections on renewal and reform in the areas of ecology, economics, education, spirituality, and the arts.

	
Course Rationale:

	Thomas Berry was an original, creative, and comprehensive thinker, especially regarding the critical nature of our global environmental crisis.  His intellectual importance resides in his response to the ecological crisis by bringing together the humanities and science in an evolutionary narrative.  In addition, he articulated the need for the moral participation of the world religions in addressing environmental issues.  He came to this realization largely through his study of cosmologies embedded within religious traditions.  Sensing the significance of these stories as “functional cosmologies” he explored the widespread influence that these stories transmitted through a tradition, for example, in rituals, ethics, and subsistence practices.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}]","[""20444613"", ""20298730""]","[""John Grim"", ""Mary Evelyn Tucker""]",,The Worldview of Thomas Berry:  The Flourishing of the Earth Community,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/06/8071d75c914121b951a9112203c95e/Worldview-of-Thomas-Berry_-The-Flourishing-of-the-Earth-Community---Square.jpg,"[""en""]",[],thomas-berry,[],"7 weeks of study, 1-3 hours/week",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",xiw1UkMvEeisIg4GWpprUg,v2.ondemand,"Course description: Contracts I & II provides a comprehensive overview of contract law in the United States. The course covers most of the key concepts found in a first year law school class. Each lecture is based on one or more common-law cases, integrating legal doctrines with policy discussions. The course also covers key sections from the Uniform Commercial Code (UCC), which governs the sale of goods. 

By the end of the course, the learner should be able to understand: 

Formation defenses: how an otherwise valid contract can be void, including the statute of frauds, mistake, misrepresentation, duress, unconscionability, and illegality. 
Performance: the scope and content of a contractual obligation, including conditions, the duty of good faith, and the impracticability defense. 
Remedies: the types of available remedies for a breach of contract, including various types of money damages and injunctive relief.","[{""subdomainId"": ""law"", ""domainId"": ""social-sciences""}]","[""6024734""]","[""Ian Ayres""]",BEGINNER,American Contract Law II,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/74/7b9ea301a449b8b4be6c01d00e89fc/American-Contract-Law-II---Square.jpg,"[""en""]",[],contracts-2,[],,PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",sQz4R1BoEeumdxIIB-ZQeQ,v2.ondemand,"Conserving and restoring tropical forest landscapes offers an opportunity to address pressing environmental and social challenges. Effective conservation and restoration initiatives support multiple objectives, including ecosystem functioning, climate change mitigation and adaptation, food security, and economic growth.

This seven-week course explores the technical, social, and funding aspects of this timely topic. You will learn:
1. The importance of tropical forest landscapes and the actors and motivations driving restoration and conservation efforts.
2. How tropical forest ecosystems work, and how they relate to climate change and biodiversity.
3. Fundamental human dimensions to consider in any project, including human livelihoods and local property rights.
4. Conservation theory and dynamic aspects of conserving species and landscapes.
5. A spectrum of restoration strategies and key considerations for restoration, such as species selection and planting design.
6. How agroforestry systems can integrate trees and production to meet different goals.
7. Basic financial concepts and potential sources of conservation and restoration funding.

The materials in this course offer a selection of key content from the Yale School of the Environment and Yale Environmental Leadership & Training Initiative's yearlong Tropical Forest Landscapes: Conservation, Restoration & Sustainable Use online certificate program.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""101493333""]","[""Eva Garen""]",BEGINNER,Tropical Forest Landscapes 101: Conservation & Restoration,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6a/ac9415179344acac5711ab996df188/Tropical-Forest-Landscapes-101_-Conservation-Restoration---Square.jpg,"[""en""]",[],tropicalforests101,[],"7 weeks of study, 2-3 hours/week",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert""]",A263difqEeu9XxJAPDtcSw,v2.ondemand,"Общие сведения об идеях, методах и институтах, позволяющих человеческому обществу управлять рисками и развивать предпринимательство.  Акцент на финансовой подкованности и лидерских качествах. Описание текущих подходов и анализ перспектив на будущее. Введение в принципы управления рисками и поведенческих финансов для понимания реального функционирования сферы ценных бумаг, страхования и банковской системы.  Главнейшей целью данного курса является эффективное использование таких сфер, направленное на совершенствование развития общества.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}]","[""3543921""]","[""Robert Shiller""]",BEGINNER,Финансовые рынки,"[""109""]",https://coursera-university-assets.s3.amazonaws.com/84/1d39a40d26b2621b92c062f31f149d/yale_logo-left.png,"[""Yale University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4d/1bb420932d4f9ebd0d366309beb6cd/Financial-Markets-2017---Russian---Square.jpg,"[""ru""]",[],financial-markets-global-ru,[],"7 недель учебы, 3 - 4 часа в неделю",PCbf3yq6rgkpcMhb3,eZ8OIo0PEQJzfXxic
[],"[""VerifiedCert"", ""Specialization""]",FsWW9WHcEeyGyBIIdSsL5w,v2.ondemand,"Google スプレッドシートの中級コースは、初級のコースで説明されたコンセプトを元に進められます。

このコースでは、Google スプレッドシートでテーマを適用してカスタマイズする方法を学習し、条件付き書式のオプションを確認します。

Google スプレッドシートの高度な数式と関数をいくつか学習します。関数を使用した数式を作成する方法を確認し、さらに Google スプレッドシート内のデータを参照して検証する方法を学びます。

スプレッドシートには、何百万という数、数式、テキストを入力しておくことができます。このようなデータは要約や可視化を行わないと、十全に活用することが難しい場合があります。このコースでは、グラフやピボット テーブルなど、Google スプレッドシートのデータ可視化オプションを確認します。

Google フォームは、データを収集して迅速なデータ分析を可能にするオンライン アンケートです。フォームで収集したデータをスプレッドシートに接続する作業や、既存のスプレッドシートからフォームを作成する作業を通じて、フォームとスプレッドシートがどのように連携するのかを確認します。
Screen reader support enabled.
 
 
 		
Google スプレッドシートの中級コースは、初級のコースで説明されたコンセプトを元に進められます。

このコースでは、Google スプレッドシートでテーマを適用してカスタマイズする方法を学習し、条件付き書式のオプションを確認します。

Google スプレッドシートの高度な数式と関数をいくつか学習します。関数を使用した数式を作成する方法を確認し、さらに Google スプレッドシート内のデータを参照して検証する方法を学びます。

スプレッドシートには、何百万という数、数式、テキストを入力しておくことができます。このようなデータは要約や可視化を行わないと、十全に活用することが難しい場合があります。このコースでは、グラフやピボット テーブルなど、Google スプレッドシートのデータ可視化オプションを確認します。

Google フォームは、データを収集して迅速なデータ分析を可能にするオンライン アンケートです。フォームで収集したデータをスプレッドシートに接続する作業や、既存のスプレッドシートからフォームを作成する作業を通じて、フォームとスプレッドシートがどのように連携するのかを確認します。","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Google Sheets - Advanced Topics 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/84/54a80be8bf46ea899ae2b0e5f47949/Sheets_Product_Icon_512dp-2x.jpeg,"[""ja""]","[""child~kkarETHeTkKaKyTg55TDFQ""]",google-sheets---advanced-topics-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",RSDTCmB-EfCy5w726iKh0Q,v2.ondemand,このコースは、Vertex AI Notebooks に関する入門コースです。Vertex AI Notebooks は Jupyter ノートブックをベースとした環境であり、データの準備からモデルのデプロイとモニタリングに至るまで ML のワークフロー全体をサポートする統合プラットフォームを提供します。このコースでは、（1）Vertex AI Notebooks の種類とそれぞれの機能、（2）Vertex AI Notebooks の作成と管理の方法について説明します。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Vertex AI でノートブックを使用する,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/42/c26d54c09b4a1ca059947db30070ee/Logo-Image_GC-Projects-1-1-copy.png,"[""ja""]",[],working-with-notebooks-in-vertex-ai-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",-a4VWhfeEfGQ2w5GCXwtVw,v2.ondemand,"このコースは、Gemini CLI（ターミナル用に開発された、Gemini を搭載した生成 AI エージェント）を活用して、よりスマートに作業したいと考えているアプリ デベロッパーや DevOps エンジニアを対象としています。

このコースでは、Gemini CLI のインストールと構成について説明し、ユースケースとセキュリティのベスト プラクティスを紹介します。コマンド、ツール、MCP サーバー、拡張機能についても説明します。実践型演習では、Gemini CLI のインストールと構成、Gemini CLI を使用したコードの分析とアプリの構築、変更に取り組みます。","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Gemini CLI でアプリ開発を加速,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c8/93fe0c8bd249b79133e08b47393040/Logo-Image_GC-Projects.png,"[""ja""]",[],accelerate-app-development-with-gemini-cli-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",LE5AccHiEe-21A5KKJdafQ,v2.ondemand,"Networking in Google Cloud」シリーズの 3 番目のコース「Network Architecture」へようこそ。
このコースでは、Google Cloud 内で効率的かつスケーラブルなネットワーク アーキテクチャを設計するための基礎について説明します。
モジュール 1「ネットワーク アーキテクチャの概要」では、サブネット、ルート、ファイアウォール、ロード バランシングなど、ネットワーク アーキテクチャの中核となるコンポーネントやコンセプトを紹介します。
モジュール 2「ネットワーク トポロジ」では、Google Cloud でよく使用されるさまざまなネットワーク トポロジの詳細とその長所と短所について説明します。","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Networking in Google Cloud: Network Architecture - 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/41/07e9f88ec645e488bc49df29303c52/Logo-Image_GC-Projects-1-.png,"[""ja""]",[],networking-in-google-cloud-network-architecture-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert"", ""Specialization""]",ES4Dh93pEe2CNwqcW_hXdQ,v2.ondemand,"このコースでは、Google Workspace に付属する Google のチャット ソフトウェアである Google Chat について紹介します。

Google Chat で個人やグループにメッセージを送信する方法を説明します。カスタマイズ オプションやコラボレーション機能、そして Google Chat が他の Google Workspace 製品とどのように連携するかについても解説します。

Google Chat のスペースの作成、管理、検索、およびスペースへの参加の方法を確認しながら、スペースの使用方法を詳しく見ていきます。また、スペースとグループ チャットの用途の違いについても説明します。

Google Chat アプリについても紹介し、Google Chat 内でのアプリの検索と使用の方法について解説します。

コースの動画と別に、受講者はハンズオン アクティビティを行い、学んだことを練習します。アクティビティでは 1 人か 2 人の同僚に参加してもらい、Google Chat でやり取りすることを検討してください。","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Google Chat - 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f6/cd5b3620f84e5784225fe1e1c1497c/0-Logo-Image_GC-Projects.png,"[""ja""]","[""child~kkarETHeTkKaKyTg55TDFQ""]",google-chat-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",wLwaf6GpEeua9hJHpJ2HqQ,v2.ondemand,"東京大学の研究内容に基づく科学技術に関する文章を読み、基礎的な日本語の専門語彙や重要な表現の使い方を習得しながら、読解力を向上することができる。また、読解学習にとどまらず、テキスト動画やインタビュー動画を利用し、「聴く」、「話す」、「書く」といった連繫した力を養うことができる。さらに、理工学系の知識を発展的に広げ、深めることができる。

教材は、日本語教育の専門教員が作成したテキストや動画に加え、理系の専門教員にインタビューした動画を含む。それを内容重視アプローチ(content-based learning)を利用し、効率的に学ぶことができる。また、内容重視アプローチは学習者のモチベーションを上げ、中級のレベルではあるが、アカデミックな語彙を含むより高いレベルの語学力を身に付けることができる。

This course focuses on improving Japanese reading comprehension through vocabulary and expressions retention, with a theme of Science and Engineering research at the University of Tokyo. In addition to reading, illustration videos and interview videos allow you to practise ""listening"" and ""writing"" skills. You can also broaden and deepen your knowledge in the related areas.","[{""domainId"": ""language-learning"", ""subdomainId"": ""other-languages""}]","[""86257547""]","[""Yumiko Furuichi""]",INTERMEDIATE,Let’s Read! Learning Japanese through Science & Technology-1,"[""76""]",http://coursera-university-assets.s3.amazonaws.com/64/56eda6b5224827bea6eb77b81223ab/UTokyo_Logotype_A_Color_RGB20240401.png,"[""The University of Tokyo""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/56/c534fbd3d44636aaecb44aa965ee64/JLC-logo.png,"[""ja""]",[],japanese-language-1,[],２〜３時間/週,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",l3PkHBxyEfGIDBJFg25Yzw,v2.ondemand,このコースでは、Google Cloud でのアプリケーション開発の基礎を学びます。クラウド アプリケーションのベスト プラクティスと、アプリケーションのユース ケースに合わせてコンピューティング オプションとデータ オプションを選択する方法を習得します。生成 AI の概要と、アプリケーション構築における活用方法について紹介します。Google Cloud で実行されているアプリケーションの認証と認可、アプリケーションのデプロイ、継続的インテグレーションと継続的デリバリー、モニタリングとパフォーマンス調整について学びます。講義とハンズオンラボを通じて、Google Cloud でアプリケーションの構築と実行を始める方法を学びます,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Google Cloud を使用したアプリケーション開発: 基礎,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/11/2c5640217c4c52a8f146ba37ac450e/GFX_Coursera_Asset_Full_1200x1200.png,"[""ja""]",[],developing-applications-with-google-cloud-foundations-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",zXEtsx6HEfCpIQr_6QDb7Q,v2.ondemand,このコースでは、Google のポータブル UI ツールキットである Flutter を使用してアプリを開発し、そのアプリを Google の生成 AI モデル ファミリーである Gemini と統合する方法について学びます。また、AI エージェントとアプリケーションを構築、管理するための Google のプラットフォームである Vertex AI Agent Builder も使用します。,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Vertex AI と Flutter による 生成 AI エージェントの構築,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/72/5a7517661744c7977923683f88e73a/GFX_Coursera_Asset_Full_1200x1200.png,"[""ja""]",[],build-generative-ai-agents-with-vertex-ai-and-flutter-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",SmqAzXGpEe-uqRL6e5om0w,v2.ondemand,"Gemini pour Google Workspace est un module complémentaire qui permet aux utilisateurs d'accéder à des fonctionnalités d'IA générative. Ce cours explore les fonctionnalités de Gemini dans Google Drive au moyen de vidéos pédagogiques, d'activités pratiques et d'exemples concrets.  À la fin de ce cours, vous disposerez des connaissances et des compétences nécessaires pour utiliser Gemini en toute confiance dans Google Drive afin d'améliorer vos workflows.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Gemini in Google Drive - Français,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/91/127f2fa09146c1b8ea2d6c2a5fdd17/Logo-Image_GC-Projects-1-.png,"[""ja""]",[],copy-of-gemini-in-google-drive-fr,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert"", ""Specialization""]",ANy3DO8yEeux-RJFwuFwBw,v2.ondemand,"Google ドライブは Google のクラウドベースのファイル ストレージ サービスです。Google ドライブでは、すべての作業を 1 か所にまとめ、追加のソフトウェアを必要とせずにさまざまなファイル形式を表示でき、どのデバイスからでもファイルにアクセスできます。

このコースでは、Google ドライブの操作方法を学びます。ファイルやフォルダをアップロードする方法や、ファイルの種類に関係なく作業する方法のほか、Google ドライブでファイルを簡単に表示、配置、整理、変更、削除する方法についても学びます。 

Google ドライブには共有ドライブが含まれています。共有ドライブを使用して、チームでファイルを保存したり、検索したり、ファイルにアクセスしたりできます。新しい共有ドライブの作成、メンバーの追加と管理、共有ドライブのコンテンツの管理などの方法を学びます。 

Google Workspace とはつまり、コラボレーションと共有機能そのものです。Google ドライブで利用できる共有オプションを確認し、さまざまなユーザー ロールや割り当て可能な権限について学びます。

また、テンプレートを使用して一貫性を確保し、時間を節約する方法についても確認します。

Google ドライブには、さまざまなツールやオプションが用意されています。このコースでは、それらのオプションの中から、オフラインで作業する方法、ドライブ ファイル ストリームを使用する方法、Google Workspace Marketplace からアプリをインストールする方法について説明します。","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Google Drive 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/86/d3a29d374f4a8aa96ac7bdbbc10641/Drive_Product_Icon_512dp-2.png,"[""ja""]","[""child~kkarETHeTkKaKyTg55TDFQ""]",google-drive-jp,[],"3 weeks of study, 6-8 hours/week",PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert"", ""Specialization""]",l-vtvtowEe2K0A4387ljAQ,v2.ondemand,"Google サイバーセキュリティ プロフェッショナル認定証の 4 つめのコースです。各コースでは初級サイバーセキュリティの職に必要なスキルを身につけることができます。

このコースでは、サイバーセキュリティ アナリストとして実際に業務で使用するコンピュータ スキルを探求します。まず、サイバーセキュリティの職種でよく使われるオペレーティング システム（OS）である Linux の使い方を学びます。例えば、Bash シェルによる Linux のコマンドラインを使って、ファイル システムの操作や管理、ユーザー認証を実行します。そして、データベースと通信するために SQL を使う方法についても学びます。

サイバーセキュリティの分野で働いている現職の Google 社員が最適なツールやリソースを使って一般的なサイバーセキュリティの業務を遂行する実践的な方法を指導します。また就職活動への準備も手助けします。

この認定プログラムを修了すると、エントリーレベルのサイバーセキュリティの職に応募できるようになります。過去の業務経験は不要です。","[{""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}, {""subdomainId"": ""security"", ""domainId"": ""information-technology""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,4. ツールを使いこなす：Linux と SQL,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0a/aedb91d6db4112bd4ef900db8f4c37/4_CYBER_TOOLSOFTHETRADE.png,"[""ja""]","[""ddwSN7kKRG2cwjYgokigkA""]",linux-and-sql-jp,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert"", ""Specialization""]",i_nnquSEEe2nnBJXwaSqgQ,v2.ondemand,"Google サイバーセキュリティ プロフェッショナル認定証の 6 つめのコースです。各コースでは初級サイバーセキュリティの職に必要なスキルを身につけることができます。

このコースでは、検知とインシデント対応に焦点を当てます。具体的には、セキュリティインシデントを定義し、インシデント対応チームの役割と責任など、インシデント対応のライフサイクルを学びます。またパケット スニッフィングのツールを使用してネットワーク トラフィックをキャプチャし、セキュリティ インシデントを検知するためにネットワーク通信を分析、解釈します。アセスメントを行い、アーティファクトを分析することで、インシデント調査および対応のプロセスや手順を検討し、不正侵入検知システム（IDS）とセキュリティ情報イベント管理（SIEM）ツールの使用方法についても学びます。

サイバーセキュリティの分野で働いている現職の Google 社員が最適なツールやリソースを使って一般的なサイバーセキュリティの業務を遂行する実践的な方法を指導します。また就職活動への準備も手助けします。

この認定プログラムを修了すると、エントリーレベルのサイバーセキュリティの職に応募できるようになります。過去の業務経験は不要です。","[{""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}, {""subdomainId"": ""security"", ""domainId"": ""information-technology""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,6. 警告を発する： 検知と対応,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7a/988fe6fb30410ba49cc8c5edf20dd8/6_CYBER_SOUNDTHEALARM.png,"[""ja""]","[""ddwSN7kKRG2cwjYgokigkA""]",detection-and-response-jp,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert"", ""Specialization""]",iGREhZAYEeyYbAqQh-YaNw,v2.ondemand,"Google データアナリティクス プロフェッショナル認定プログラムの最初のコースです。各コースでは、初歩的なデータ アナリスト業務に必要なスキルを習得します。あらゆる組織で、プロセスの改善、商機とトレンドの見極め、新製品のリリース、慎重な意思決定などに、データ アナリストが必要とされています。このコースでは、Google が開発した実践的なカリキュラムを通じてデータ アナリティクスの世界を紹介します。教材では、データ アナリティクスに関する多数の主要トピックに触れながら、Google データアナリティクス プロフェッショナル認定プログラムの概要がわかるよう工夫されています。現職の Google データ アナリストが、最適なツールやリソースを使って、一般的なアナリスト業務を遂行する実践的な方法を指導します。

この認定プログラムを修了すると、エントリーレベルのデータ アナリスト職に応募できるようになります。過去の業務経験は不要です。

このコース修了後の目標は以下の通りです。
- ジュニア データ アナリストやアソシエート データ アナリストが日常的に関わる業務やプロセスを理解できるようになる。
- 専門的なツールボックスに追加できる、主要な分析スキル（データ クリーニング、データ分析、データの可視化）とツール（スプレッドシート、SQL、R プログラミング、Tableau）を習得する。
- データのライフサイクルやデータ分析プロセスなど、ジュニア データ アナリストの業務に関わる数多くの用語や概念を理解できるようになる。
- データ エコシステムにおけるアナリティクスの役割を評価できるようになる。
- 分析的思考について自己診断ができるようになる。
- コース修了後、求人情報を検索でき、求職活動のベストプラクティスを知る。","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,1. 基礎知識：データはあらゆるところにある,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ef/38180e9ab34c59ad1052804998bbc3/DA1-Foundations-Data-Data-Everywhere.png,"[""ja""]","[""Sek-Gq1zEe2O-BL57hX6Tw"", ""aJbRXK7pEey8UArux7BqFw""]",foundations-data-japanese,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert"", ""Specialization""]",iB_JT1wxEeyg-RKSDfcVFQ,v2.ondemand,このコースを受講すると、スケーラブルでパフォーマンスの高い LookML（Looker モデリング言語）モデルを開発し、ビジネス ユーザーの疑問解決に役立つ標準化されたすぐに使えるデータを提供できるようになります。このコースの修了時には、組織の Looker インスタンスでデータをキュレートして管理するための LookML モデルの構築と維持が可能になります。,"[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Developing Data Models with LookML 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/aa/118d48811048ba950c89880dea4b78/Data_Modelling_Dev_Looker_ML_badge_1200x1200_03.png,"[""ja""]","[""1UetvFwxEey8qRLspg7aUQ""]",developing-data-models-with-lookml-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",UabWFTPtEfGjLQ70BA9YvQ,v2.ondemand,このコースでは、Vertex AI Agent Builder、Gemini Enterprise、会話エージェント、Agent Development Kit など、Google Cloud のエージェント プラットフォームに関する包括的な概要を説明します。受講者は、各サービスの固有の機能を理解し、ユースケースごとに最適なソリューションを見極められるようになります。また、検索およびチャット アプリケーションを作成するための基礎知識を習得します。,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Google Cloud エージェントの把握,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/41/eb057e1ac24c47a0914af3d71015da/GFX_Coursera_Asset_Full_1200x1200.png,"[""ja""]",[],understand-google-cloud-agents-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",k-AxocNTEe-LvhIuPUA7nw,v2.ondemand,このトレーニング コースは、「Networking in Google Cloud:  Fundamentals」コースで説明したコンセプトをベースに構築されています。プレゼンテーションやデモ、ラボを通じて、Cloud Load Balancing について詳しく学び、実装します。,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Networking in Google Cloud: Load Balancing - 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/09/191583480b47a3b17de3302c4cea7e/GFX_Coursera_Asset_Full_1200x1200.png,"[""ja""]",[],networking-in-google-cloud-load-balancing-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",a51yBxMUEfGMqxJXqQYYkQ,v2.ondemand,このコースでは、イベントベースのアプリケーションの概要を紹介し、サービス オーケストレーションとコレオグラフィを使用してマイクロサービスを調整する方法を解説します。講義とハンズオンラボを通じて、Workflows、Eventarc、Cloud Tasks、Cloud Scheduler を使用して Google Cloud 上にマイクロサービス アプリケーションを構築する方法を学びます。,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Google Cloud におけるサービスのオーケストレーションとコレオグラフィー,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6c/407df09a8f4c87ab1a16bdcc9b3f00/Logo-Image_GC-Projects.png,"[""ja""]",[],service-orchestration-and-choreography-on-google-cloud-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",f08YjPJmEe6GLhKkWipLvQ,v2.ondemand,このコースでは、Google Cloud サポートを最大限に活用する方法について説明します。Google Cloud カスタマーケアが提供するさまざまなサポート サービス、サポートケースを作成および管理する方法、Google Cloud のサービスに影響を与える既知の問題を確認する方法、サポート エンジニアと効果的にコミュニケーションを取る方法について学習します。さらに、さまざまなケースの優先順位付けとサービスレベル目標（SLO）についても学習し、ケースのステータスや必要に応じてサポートケースをエスカレーションする方法についての理解を深めます。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Google Cloud Customer Care Fundamentals - 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9b/97f8c0939845aa93a1301f59b23a20/Logo-Image_GC-Projects-1-.png,"[""ja""]",[],google-cloud-customer-care-fundamentals-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert"", ""Specialization""]",LKTgYHJZEeqM2BJ316lanQ,v2.ondemand,このコースでは、ストリーミング データ パイプラインの構築時に直面する実際の問題を解決するために、実践的な演習を行います。ポイントは、Google Cloud プロダクトを使用して、絶えず流れ続けるデータを効果的に管理することです。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Google Cloud でストリーミング データ パイプラインを構築する,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/70/bdf0b7251841fa9c9df40cdd829632/Logo-Image_GC-Projects-1-.png,"[""ja""]","[""child~ZXv_M9shSxWCfrx8MhoRvQ"", ""child~uGSYE18pSDKjtf4zoaCLjA""]",streaming-analytics-systems-gcp-jp,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",DT4CECooEe6mDAo3fVlzHw,v2.ondemand,このコースでは、ディープ ラーニングを使用して画像キャプション生成モデルを作成する方法について学習します。エンコーダやデコーダなどの画像キャプション生成モデルのさまざまなコンポーネントと、モデルをトレーニングして評価する方法を学びます。このコースを修了すると、独自の画像キャプション生成モデルを作成し、それを使用して画像のキャプションを生成できるようになります。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,Create Image Captioning Models - 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5f/339299fdc24399879b3d1aa76cfdb3/Logo-Image_GC-Projects-1-.png,"[""ja""]",[],create-image-captioning-models-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert"", ""Specialization""]",kFJO1a2bEemtSwo7WTibIg,v2.ondemand,"このコースでは、Kubernetes と Google Kubernetes Engine（GKE）のセキュリティについて、およびロギングとモニタリングについて学びます。また、Google Cloud マネージド ストレージ サービスとデータベース サービスを GKE 内で使用する方法についても学びます。

これは「Architecting with Google Kubernetes Engine」シリーズの 2 つ目のコースです。このコースを修了したら、「Reliable Google Cloud Infrastructure:  Design and Process」コースか、「Hybrid Cloud Infrastructure Foundations with Anthos」コースに登録してください。","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Architecting with Google Kubernetes Engine: Production 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/31/1192322e7544b9b74be597de332199/Container-Engine.png,"[""ja""]","[""XNJNg3NoEem2IhLfH8abCg""]",deploying-secure-kubernetes-containers-in-production-jp,[],受講期間: 3 週間（6～8 時間/週）,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",GoVcmQpuEeuwYxJ_by8kgw,v2.ondemand,クラウドに移行すると、新しい働き方を始めるいろいろな機会が生まれるとともに、従業員がコラボレーションやイノベーションを行いやすくなります。ただし、これは大きな変化も意味します。変革が成功するかどうかは、その変化自体ではなく、変化への対処方法によって決まる場合もあります。このコースでは、中間管理者がクラウド導入に関連する主な課題を把握できるようにし、変化の過程でチームを支援するのに役立つ、現場で使える検証済みのフレームワークを提供します。クラウドへの移行のヒューマン ファクタに取り組むことで、組織はビジネス目標の実現と将来必要となる能力への投資の機会を増やすことができます。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Managing Change when Moving to Google Cloud 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d0/3a03e8c9d84ea284b86e7427d60b82/CM_coursera_logo.png,"[""ja""]",[],managing-change-when-moving-to-google-cloud-jp,[],受講期間: 3 週間（6～8 時間/週）,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert"", ""Specialization""]",gZ5MAGCPEfCA0Qr_wn9qKQ,v2.ondemand,「Gen AI エージェント: 組織の変革」は、Gen AI Leader 学習プログラムの最後となる 5 番目のコースです。このコースでは、組織でカスタム生成 AI エージェントを使用して特定のビジネス課題に対処する方法を学習します。基本的な生成 AI エージェントを構築する実践演習を行うとともに、モデル、推論ループ、ツールなどのエージェントの構成要素について見ていきます。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,生成 AI エージェント:  組織の変革,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ee/9e87bf814941ba8bbf0513be00a2ac/GFX_Coursera_Asset_Full_1200x1200.png,"[""ja""]","[""sipuC6dnQzKbS8E9zFXMUw""]",gen-ai-agents-transform-your-organization-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",Ofs69I_UEfCNnxIV55lbsQ,v2.ondemand,このコースでは、Model Armor の重要なセキュリティ機能を復習し、このサービスを使いこなすための技術が身についていることを確認します。LLM に関連するセキュリティ リスクと、Model Armor にによる AI アプリケーションの保護の仕組みについて説明します。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Model Armor: AI デプロイの保護,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/72/8ef39364bd4b4da362f32dc73b93ba/GFX_Coursera_Asset_Full_1200x1200.png,"[""ja""]",[],model-armor-securing-ai-deployments-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",EWyEOzkXEe-hvAr_8yolJQ,v2.ondemand,"""このコースでは、生成 AI を活用した Google Cloud のコラボレーターである Gemini が、顧客データの分析や商品売上の予測にどのように役立つかについて学びます。また、BigQuery で顧客データを使用して、新規顧客を特定、分類、発見する方法も学習します。ハンズオンラボでは、Gemini でデータ分析と ML のワークフローがどのように向上するかを体験します。

Duet AI は、次世代モデルである Gemini に名称変更されました。""","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Gemini for Data Scientists and Analysts - 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f4/ac214ef3704013b907497ff0a55056/Logo-Image_GC-Projects-1-.png,"[""ja""]",[],gemini-for-data-scientists-and-analysts-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",T8Od7itgEfCi9xJ5MpOSQQ,v2.ondemand,Google が持つ検索と AI の専門知識を Gemini Enterprise と融合させましょう。Gemini Enterprise は、従業員が単一の検索バーでドキュメント ストレージ、メール、チャット、チケット発行システム、その他のデータソースから特定の情報を検索できるよう設計された強力なツールです。また、Gemini Enterprise アシスタントは、ブレインストーミング、調査、ドキュメントの概要作成、カレンダーの予定への同僚の招待といったアクションの実行を支援し、あらゆる種類の知識労働や共同作業を加速させます。（Gemini Enterprise は以前 Google Agentspace という名前でした。このコースでは以前のプロダクト名が使用されている場合があります。）,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Gemini Enterprise で知識の共有を加速させる,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c5/8f6cb040fb42e8ab91906a17e6bac9/GFX_Coursera_Asset_Full_1200x1200.png,"[""ja""]",[],accelerate-knowledge-exchange-with-agentspace-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",xptVWibEEfG0pQ5Yzye2lw,v2.ondemand,Google Kubernetes Engine を使用して、アプリケーションを大規模にモダナイズ、管理、モニタリングする方法を学びます。このコースでは、講義とハンズオンラボを通じて、Google Kubernetes Engine（GKE）、GKE フリート、Cloud Service Mesh、Config Controller の機能を学習し、デプロイします。これらの機能を活用することで、複数のプロバイダでホストされた複数のクラスタに分散しているような最新のアプリケーションでも、適切に管理できるようになります。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,GKE でのスケーラブルなワークロードの管理,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1d/6bd911507546dc80f0dc64715fea00/GFX_Coursera_Asset_Full_1200x1200.png,"[""ja""]",[],manage-scalable-workloads-in-gke-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",Rpw9yDdNEfGQOAr_8Q2sfw,v2.ondemand,"AI インフラストラクチャ: ネットワーキング手法」コースへようこそ。
このコースでは、Google Cloud の高帯域かつ低レイテンシなインフラストラクチャを活用し、AI システムを構成する各コンポーネント間のデータ転送と通信を最適化する方法を学びます。このコースを修了すると、データの取り込みやトレーニングから推論に至るまで、AI パイプライン全体においてネットワーキングが果たす重要な役割を理解し、ワークロードを最大限の速度で実行するためのベスト プラクティスを適用できるようになります。","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,AI インフラストラクチャ: ネットワーキング手法,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6e/78dc97e3fe4201b3e987e5c7835ee0/GFX_Coursera_Asset_Full_1200x1200.png,"[""ja""]",[],ai-infrastructure-networking-techniques-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",op6k0M2dEe-LvhIuPUA7nw,v2.ondemand,"このコースでは、ML の実務担当者に、生成 AI モデルと予測 AI モデルの両方を評価するための重要なツール、手法、ベスト プラクティスを身につけていただきます。モデル評価は、ML システムが本番環境で信頼性が高く、正確で、高性能な結果を確実に提供するための重要な分野です。
参加者は、さまざまな評価指標、方法論のほか、さまざまなモデルタイプやタスクにおけるそれらの適切な適用について理解を深めます。このコースでは、生成 AI モデルによってもたらされる固有の課題に重点を置き、それらの課題に効果的に取り組むための戦略を提供します。参加者は、Google Cloud の Vertex AI プラットフォームを活用して、モデルの選択、最適化、継続的なモニタリングのための堅牢な評価プロセスを実装する方法を学びます。","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0e/a13636a3034156b6828c6cc62f347f/GFX_Coursera_Asset_Full_1200x1200.png,"[""ja""]",[],mlops-with-vertex-ai-model-evaluation-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",W6zmTbtmEe6Newq-PzDcDw,v2.ondemand,"アプリケーション デベロッパーは、このコースを通して、Google Cloud エコシステムのコンポーネントをシームレスに統合するクラウド ネイティブなアプリケーションを設計、開発する方法を学びます。講義、デモ、ハンズオンラボを通して、インフラストラクチャをコードとして扱うことによって再現可能なデプロイを作成する方法、アプリケーションに適したアプリケーション実行環境を選択する方法、アプリケーションのパフォーマンスをモニタリングする方法を学習します。

各ラボのいずれかのバージョンを完了する必要があります。各ラボは Node.js で利用できるほか、ほとんどの場合、Python または Java でも提供されます。各ラボはご希望の言語で完了できます。","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,"App Deployment, Debugging, and Performance - 日本語版","[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8b/549493a5c14a6f94bf9a188f7aa446/Logo-Image_GC-Projects-1-.png,"[""ja""]",[],app-deployment-debugging-and-performance-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert"", ""Specialization""]",slA9ErGyEeub9xLYvXwvAw,v2.ondemand,この自習式トレーニング コースでは、参加者は、分散型サービス拒否攻撃、フィッシング攻撃、コンテンツの分類と使用に関わる脅威など、Google Cloud ベース インフラストラクチャのさまざまな箇所での攻撃を緩和する方法について学習します。さらに、Security Command Center、Cloud Logging と監査ロギングについて、および Forseti を使って組織のセキュリティ ポリシーへの全体的なコンプライアンスを確認する方法についても学習します。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Mitigating Security Vulnerabilities on Google Cloud 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ae/bae790fe3011e8a2dd79ff505c6af0/security-logo.png,"[""ja""]","[""IALV-JaLEeyPBRIEA-wLaw""]",mitigating-security-vulnerabilites-gcp-jp,[],2 週間、4-6 時間/週,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert"", ""Specialization""]",3cEkqZAYEeyI3BLBkjTEUQ,v2.ondemand,"Google データアナリティクスプロフェッショナル認定プログラムの 6 つめのコースです。このプログラムでは、エントリーレベルのデータアナリストの仕事に就くために必要なスキルを身につけることができます。このコースでは、データ分析プロセスを完了し、データから発見したことを視覚化、プレゼンテーションする方法を学びます。ビジュアル ダッシュボードなどのデータビジュアライゼーションの手法を活用して、データに命を吹き込んでいきます。また、プレゼンテーションに効果的なビジュアライゼーションを作成できるプラットフォーム Tableau についても学びます。現職の Google データ アナリストが、最適なツールやリソースを使って、一般的なアナリスト業務を遂行する実践的な方法を指導します。

この認定プログラムを修了すると、エントリーレベルのデータ アナリスト職に応募できるようになります。過去の業務経験は不要です。

このコース修了後の目標は以下の通りです。
 - データ ビジュアライゼーションの重要性を理解する。
 - データのストーリーを通して説得力のあるナラティブを組み立てる方法を学ぶ。
 - Tableau を使用してダッシュボードとダッシュボード フィルタを作成する方法を理解する。
 - Tableau を使用して効果的なビジュアライゼーションを作成する方法を理解する。
 - 効果的なプレゼンテーションの原則と実践方法を学ぶ。
 - プレゼンテーション時に検討すべき考えうるデータの制限事項を学ぶ。
 - 聞き手との Q&A に関するベストプラクティスを理解する。","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,6. データ可視化（ビジュアライゼーション）による、データの共有,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/25/0c69381e7e4f34a12389e1d82c4f82/DA6-Share-Data-Through-the-Art-of-Visualization.png,"[""ja""]","[""Sek-Gq1zEe2O-BL57hX6Tw"", ""aJbRXK7pEey8UArux7BqFw""]",visualize-data-japanese,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",59qfbzOWEe-f9Q6oSqnk-Q,v2.ondemand,"このコースでは、Google Cloud の生成 AI を活用したコラボレーターである Gemini が、エンジニアによるインフラストラクチャの管理にどのように役立つかについて学習します。アプリケーション ログを検索して理解するように Gemini に指示する方法、GKE クラスタを作成する方法、ビルド環境の作成方法を調査する方法を学びます。ハンズオンラボでは、Gemini を使用することで DevOps ワークフローがどのように向上するかを体験します。

Duet AI は、次世代モデルである Gemini に名称変更されました。","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Gemini for DevOps Engineers - 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/06/8b564e4ad4450cb5375188f8f85bb1/Logo-Image_GC-Projects-1-1-copy.png,"[""ja""]",[],gemini-for-devops-engineers-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",P9Q1Us5yEe-LMRJ9qpAyGQ,v2.ondemand,このコースでは、Looker Studio の基礎だけでなく、Looker Studio Pro の高度な特長や機能について説明します。チーム ワークスペースを活用して効率的なコラボレーションを実現する方法、データのセキュリティと管理を強化する方法、Google Cloud カスタマーケアを活用してサポートを受ける方法について学びます。また、データの可視化やレポート機能を向上させるプレミアム機能を紹介します。このコースは、Looker Studio の基本的な知識をすでに持っていて、ビジネスや組織でその可能性を最大限に引き出したいと考えているユーザーを対象としています。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Looker Studio Pro Essentials - 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bb/0469a5931249f889cf3421e3d916c1/GFX_Coursera_Asset_Full_1200x1200.png,"[""ja""]",[],looker-studio-pro-essentials-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert"", ""Specialization""]",Di2uyu8yEeutkA6RBhqgvQ,v2.ondemand,"Google ドキュメントを使用すると、ドキュメントがクラウドに保存され、任意のパソコンまたはデバイスからアクセスできます。ウェブブラウザでドキュメントを作成および編集できます。特別なソフトウェアは必要ありません。さらに、複数のユーザーが同時に作業することができ、ユーザーが変更を行ったときにその変更を確認することも可能です。各変更は自動的に保存されます。

このコースでは、Google ドキュメントの開き方、新しいドキュメントの作成と書式設定の方法、新しいドキュメントへのテンプレートの適用方法について説明します。

目次、ヘッダーとフッター、表、図、画像などを使用してドキュメントの質を高める方法を説明します。

ドキュメントを他のユーザーと共有する方法について説明します。共有オプションのほか、共同編集者のロールと権限を確認します。ドキュメントのバージョンを管理する方法について説明します。

Google ドキュメントを使用すると、同じドキュメントで他のユーザーとリアルタイムで共同作業できます。ドキュメント内のコメントとアクション アイテムを作成、管理する方法について説明します。

複数の Google ドキュメント ツールを確認します。自分のスタイルに合わせて環境設定を行う方法を理解し、Google Explore などのツールを使用してコンテンツの価値を高める方法を検討します。","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Google Docs 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a3/f7fbbcdda6459f8e5efeb950cfc613/Docs_Product_Icon_512dp-2x.png,"[""ja""]","[""child~kkarETHeTkKaKyTg55TDFQ""]",google-docs-jp,[],"3 weeks of study, 6-8 hours/week",PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert"", ""Specialization""]",08xOXe8xEeux-RJFwuFwBw,v2.ondemand,"Google カレンダーを使用すると、会議や予定のスケジュールを設定することや、今後のアクティビティに関するリマインダーを受信することが簡単にでき、今後の予定を常に把握することができます。Google カレンダーはチーム向けに設計されているため、スケジュールを他のユーザーと共有することや、複数の共用カレンダーを作成してチームで使用することが簡単にできます。

このコースでは、Google カレンダーの予定を作成して管理する方法（既存の予定の更新、予定の削除と復元、カレンダーの検索）を学びます。

リマインダー、タスク、予約枠など、さまざまな種類の予定をどのようなときに使うのかを理解できるようになります。

自分の作業のやり方に合わせてカスタマイズ可能な Google カレンダーの設定について詳しく見ていきます。

追加のカレンダーを作成する方法、他のユーザーとカレンダーを共有する方法、組織内の他のカレンダーにアクセスする方法も学びます。","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Google Calendar 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e8/94071b05d64dc5bc6b33de19eff957/Calendar_Product_Icon_512dp-2x.png,"[""ja""]","[""child~kkarETHeTkKaKyTg55TDFQ""]",google-calendar-jp,[],"3 weeks of study, 6-8 hours/week",PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert"", ""Specialization""]",3hTr7SyIEeykCg4HPggu6Q,v2.ondemand,このコースでは、これまで主に SQL のデベロッパーやアナリストが行っていたようなデータの探索や分析を Looker で実施する方法について学びます。このコースを修了すると、Looker の最新の分析プラットフォームを活用して、組織の Looker インスタンスにおける関連性の高いコンテンツの検索と探索、データに関する問い合わせ、必要に応じた新しい指標の作成、データドリブンな意思決定を促進するためのビジュアリゼーションとダッシュボードの作成や共有を行えるようになります。,"[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Analyzing and Visualizing Data in Looker 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/16/aa412291f0410c9bf3c65e92ca4c88/Analyzing_Visualizing_Data_Looker_badge_1200x1200_01.png,"[""ja""]","[""1UetvFwxEey8qRLspg7aUQ""]",analyzing-and-visualizing-data-in-looker-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",KNyWOk2IEe6lIQ6Z5EVHQQ,v2.ondemand,"「人、テクノロジー、そしてモビリティの未来」コースへようこそ！このコースでは、モビリティ分野で現在進行中の主要な技術革新のいくつかを一般の人向けに紹介します。受講生には、さまざまな社会科学の概念を適用して、これらの技術がもたらす可能性のある社会的影響を理解するよう求めます。このコースは、あらゆるバックグラウンドの受講生に適しており、工学または社会科学の事前のトレーニングは必要ありません。

このコースの内容は、 Siemensとのパートナーシップを通じて作成された多数のインタビューや講義に基づいています。このコースにはインタラクティブな360ビデオ体験も含まれており、受講生は自動運転車の主なコンポーネントについて学習したり、自動運転車に同乗したり、現在と未来のスマートシティで使用される新しいセンシング技術について学ぶことができます。

このコースでは、より安全かつクリーンで、より公平な未来のモビリティを思い描くことを受講生に求めます。また、電化とオートメーションという、進化する2つのモビリティ関連技術分野について、最近の技術進歩と社会経済や政策への影響について考察します。","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""42753596""]","[""Elisabeth Gerber""]",BEGINNER,人、テクノロジー、そしてモビリティの未来,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6f/a682e2ca874a3eadab26e95ac92aa9/Course-image.jpeg,"[""ja""]",[],people-technology-and-the-future-of-mobility-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",yRd_hqoYEeywagovoAKHOQ,v2.ondemand,このコースでは、Google Cloud で最先端の ML パイプラインに携わっている ML エンジニアおよびトレーナーたちから知識を吸収することができます。 最初のいくつかのモジュールで、ML パイプラインとメタデータの管理用 TensorFlow を基盤とする Google の本番環境向け機械学習プラットフォーム TensorFlow Extended（TFX）について説明します。パイプラインのコンポーネントについて、そして TFX を使用したパイプラインのオーケストレーションについて学習します。また、継続的インテグレーションと継続的デプロイを通じたパイプラインの自動化の方法と、ML メタデータの管理方法についても学習します。その後、焦点を変えて、TensorFlow、PyTorch、Scikit Learn、XGBoost などの複数の ML フレームワーク全体にわたる ML パイプラインの自動化と再利用の方法について説明します。 さらに、Google Cloud のもう 1 つのツール、Cloud Composer を継続的なトレーニング パイプラインのオーケストレーションに活用する方法についても学習します。最後は、MLflow を使用して機械学習の完全なライフサイクルを管理する方法の解説で締めくくります。,"[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,ML Pipelines on Google Cloud - 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c5/7142bf27034e37bac15c269c660ff4/new-ml-on-gcp-logo-1-.jpeg,"[""ja""]",[],ml-pipelines-google-cloud-ja,[],"3 weeks of study, 6-8 hours/week",PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert"", ""Specialization""]",iJut_lmNEfCsFw6FoIz2Lw,v2.ondemand,「生成 AI アプリで働き方を変革する」は、生成 AI リーダー学習プログラムの 4 つ目のコースです。このコースでは、Gemini for Workspace や NotebookLM など、Google の生成 AI アプリケーションを紹介します。グラウンディング、検索拡張生成、効果的なプロンプトの作成、自動化されたワークフローの構築などのコンセプトについて学びます。,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,生成 AI アプリ:  働き方を変革する,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7d/77b3c617a94838b2b59655d51b8777/GFX_Coursera_Asset_Full_1200x1200.png,"[""ja""]","[""sipuC6dnQzKbS8E9zFXMUw""]",gen-ai-app-transform-your-work-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",pGPcUDMaEfGgtxKKqvCj4w,v2.ondemand,"""これは、4 つのコースで構成されているシリーズの最初のコースです。Azure に関する知識をすでにお持ちのクラウド アーキテクトとクラウド エンジニアを対象に、Google Cloud と Azure のソリューションを比較して、それらをプロフェッショナルが使用するためのガイドを示します。
このコースでは、Google Cloud の Identity and Access Management（IAM）とネットワーキングに焦点を当てます。Azure のアクセス管理とネットワーキングに関する知識を応用して、Google Cloud のアクセス管理とネットワーキングの類似点と相違点について確認していきます。Google Cloud リソースを構築して管理する実践演習も行います。""","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Azure プロフェッショナルのための Google Cloud IAM とネットワーキング,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c7/29fb61535342949d0765bc2ee71b54/GFX_Coursera_Asset_Full_1200x1200.png,"[""ja""]",[],google-cloud-iam-and-networking-for-azure-professionals-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",opL4RBUDEe6dJQ6MyejIcQ,v2.ondemand,このコースでは、アテンション機構について学習します。アテンション機構とは、ニューラル ネットワークに入力配列の重要な部分を認識させるための高度な技術です。アテンションの仕組みと、アテンションを活用して機械翻訳、テキスト要約、質問応答といったさまざまな ML タスクのパフォーマンスを改善する方法を説明します。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Attention Mechanism - 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9f/145f43a27d4c139dbe997eb032b394/Logo-Image_GC-Projects-1-.png,"[""ja""]",[],attention-mechanism-ja,[],"1 week of study, 6-8 hours",PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",D0Cz_Fj9Eeq7ExJlNovaDw,v2.ondemand,"このコースでは、Transformation with Google Cloud コースで学んだ知識を基に、テクノロジーの視点から組織の変革をたどっていきます。具体的には、Google Cloud のテクノロジーを利用して組織のデジタル変革を実現する方法を、5 つのカテゴリ（IT インフラストラクチャのモダナイゼーション、チームでビジネス向けアプリケーションを開発する方法のアップグレード、機械学習と人工知能を活用して新しい価値を築く方法、G Suite などのクラウドベースの生産性向上ツールの使用が働き方の変革に不可欠な理由、クラウドベースの IT インフラストラクチャへの変更に伴うコスト管理の利点と課題）に分類して説明します。
 
 コース全体で、コンピューティング、アプリケーション、セキュリティ、API、データベースなどのコアコンセプトと、これらのコンセプトがデジタル変革で果たす役割について説明します。また、さまざまなクラウド テクノロジーの実際の使用例と、クラウド テクノロジーが個人と会社全体にもたらしているメリットも紹介します。さらに、デジタル変革プロジェクトのリーダーまたはメンバーとして、適切な関係者と連携するうえで必要となる知識を身に付けられるようお手伝いします。","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Google Cloud Product Fundamentals 日本語版,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/77/5daa76f3e74f3c8e5775b05776cffc/newlogo_GCFUN.png,"[""ja""]",[],google-cloud-product-fundamentals-jp,[],学習時間: 4～5 時間（1 日あたり約 1 時間）,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",ODROHQJaEfGjXwr_7a4rmQ,v2.ondemand,"""Cloud Assist Investigations は、Google Cloud 環境で反復的なトラブルシューティングを行うための AI 対応ツールであり、ユーザーが一般的な問題をトラブルシューティングして、Google Cloud サービスの使用時に発生する可能性がある問題の根本原因を見つけられるようにすることを目的としています。

このコースでは、DevOps、SRE、プラットフォーム エンジニアを対象に、Google Cloud サービスのトラブルシューティングを合理的に進めるための Cloud Assist Investigations の効果的な使用方法について説明します。トラブルシューティングの時間を短縮し、Google Cloud ユーザーの全体的な運用効率を向上させることを目的に、トレーニングを通じて Cloud Assist Investigations の基礎知識を中心に学んでいきます。""","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Cloud Assist Investigations を使用した AI によるトラブルシューティング,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/97/c95178c89040169c7ac0a46d743b16/Logo-Image_GC-Projects-1-.png,"[""ja""]",[],cloud-assist-investigations-ai-ja,[],,PnvV7gzeujlOm9Khl,boTlchyaGNLeT5Jzg
[],"[""VerifiedCert""]",spneOVkrEfGesw6FbrgxOQ,v2.ondemand,"Launch into application modernization — one of enterprise software's most in-demand specialties — with a portfolio-ready capstone that proves you can run a legacy transformation end to end. Legacy application modernization is one of the most in-demand and rarely well-taught skills in enterprise software development. This course is built for working developers who are new to modernization — no prior experience with legacy systems or refactoring required. You'll learn the professional practices that turn AI assistance into reliable, auditable, production-grade work: structured codebase navigation, disciplined application refactoring, technical-debt reduction, and the five-stage software modernization lifecycle (assess, plan, execute, validate, document). The skills transfer across Java, Python, JavaScript, TypeScript, .NET, COBOL, and mixed-language codebases. Developers, architects, QA leads, DevOps and platform engineers, engineering managers, IT security, and compliance officers each find their role represented, alongside the governance practices that take AI from small pilot to organization-wide use. IBM Bob is the demonstration tool, with hands-on labs in a no-install Coursera environment. The course concludes with a showcase-ready capstone: a complete legacy modernization performed end-to-end on a single codebase.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""187597289""]","[""LearnQuest Network""]",INTERMEDIATE,AI-Assisted Code Modernization,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/61/71896aa9b743b5b2ffd224b39b08cc/IBM-Bob-logo.png,"[""en""]",[],ai-assisted-code-modernization,[],7 hours,XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",j-zL7CvgEemV_A4t3mTtWg,v2.ondemand,"Large Scale Enterprise Computing powers all major transactions, and the Mainframe is responsible for 87% of all credit card transactions and enables 71% of all Fortune 500 companies. Mainframes are fundamental on how we do business, and IBM Z is the only production mainframe sold today. Virtually everyone depends on it. This is your introduction to the hardware, operating systems, security, and features that make this possible.

On successful completion of this course, learners are eligible to earn their Introduction to Enterprise Computing badge. More information can be found here: https://www.youracclaim.com/org/ibm/badge/introduction-to-enterprise-computing","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""31623304""]","[""Jeff Bisti""]",BEGINNER,Introduction to Enterprise Computing,"[""1207""]",http://coursera-university-assets.s3.amazonaws.com/e0/3b79a264a94c1e95848e823f90c116/IBM-Logo-Blk-copy.png,"[""IBM ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/56/d024a5d2e64fa09a4335aa14c90718/3.png,"[""en""]","[""MG7ApqcfEemb8g61m8Jjxg"", ""URf1Ec-lEeupRA6ghdIhRw""]",introduction-enterprise-computing,[],"3 weeks of study,  2-3 hours/week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",1UoJ63CwEfGc7Qr_4PlpMQ,v2.ondemand,"This course teaches learners to design reproducible, leakage-safe, governance-ready training data pipelines for machine learning and AI systems. Learners work with dataset versioning, deterministic builds, feature and label pipelines, point-in-time correctness, slice validation, drift monitoring, and CI-based release gates. The course treats training datasets as governed data products with owners, readiness criteria, quality expectations, and reproducibility requirements.
By the end of the course, learners can produce reproducible dataset releases, identify temporal and target leakage risks, design feature and label workflows, track changes across versions, and apply release gates for schema, distribution, slice, bias, and reproducibility checks. The focus is on operationally reliable training data pipelines that teams can trust in production AI development.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""212968305""]","[""Ruslan Podgaets""]",INTERMEDIATE,Reproducible Training Data and ML-Ready Data Pipelines,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/81/ea334c227c47388d21c258c7c13cb6/course_image.jpg,"[""en""]","[""oZ7ySOjdTBq4cC9oZN0_6g""]",reproducible-training-data-and-ml-ready-data-pipelines,[],3 weeks / 6–7 hours per week,XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",r2017VrTEemLEw4J_47EwA,v2.ondemand,"Cyber threats present a constant challenge today, costing billions and affecting everyone, from governments to small businesses. Are you ready to contribute to the solution?

This course will provide you with a deep understanding of cybersecurity principles, industry standards, regulations, and audit processes. You will explore the fundamental concepts of information security and compliance, covering topics such as governance, risk, compliance, cybersecurity frameworks, and process management.

You will also learn about IT service management and explore the NIST risk management framework and AI ethical considerations. You will gain insights into cybersecurity laws and regulations, focusing on both US and global perspectives, including HIPPA, GDPR, and PCI DSS. Additionally, you will familiarize yourself with the audit processes using the COBIT framework and SOC reports. You will also explore prominent standards such as OWASP, ISO, and IEEE, learning how to apply them effectively.

Throughout this five-module self-paced course, you will engage in interactive activities to apply your knowledge in real-world scenarios. You will also complete a final project to test your skills and showcase your understanding.

Join us on this cybersecurity journey!","[{""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}, {""subdomainId"": ""security"", ""domainId"": ""information-technology""}]","[""101259896""]","[""IBM Skills Network Team""]",INTERMEDIATE,"Cybersecurity Compliance Framework, Standards & Regulations","[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/57/8a1e8808cb4b7db3a271d5b8334089/_1200x1200_AdobeStock_515135276.jpg,"[""en""]","[""BmvywlfcEemhORKUyd0AzA"", ""child~lT6-h5CdRjm1hGmNxH5tOw""]",cybersecurity-compliance-framework-standards-regulations,[],"5 modules, 2-3 hours/module",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",XXZBGc97EeufchLeGgZGZQ,v2.ondemand,"Get started with Relational Database Administration and Database Management in this self-paced course!  

This course begins with an introduction to database management; you will learn about things like the Database Management Lifecycle, the roles of a Database Administrator (DBA) as well as database storage. You will then discover some of the activities, techniques, and best practices for managing a database.  

You will also learn about database optimization, including updating statistics, slow queries, types of indexes, and index creation and usage. You will learn about configuring and upgrading database server software and related products. You’ll also learn about database security; how to implement user authentication, assign roles, and assign object-level permissions. And gain an understanding of how to perform backup and restore procedures in case of system failures.  

You will learn how to optimize databases for performance, monitor databases, collect diagnostic data, and access error information to help you resolve issues that may occur. Many of these tasks are repetitive, so you will learn how to schedule maintenance activities and regular diagnostic tests and send automated messages of the success or failure of a task. The course includes both video-based lectures as well as hands-on labs to practice and apply what you learn. 

This course ends with a final project where you will assume the role of a database administrator and complete a number of database administration tasks across many different databases.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""28513748""]","[""Rav Ahuja""]",INTERMEDIATE,Relational Database Administration (DBA),"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9c/e99a2cc09045faa2272c8aec469b95/Database-Administration.jpg,"[""en""]","[""9gaPvqSpRneGVu4pg_048w"", ""JLR4RpDVSa2MQ87dYBb62Q"", ""child~U6N80FgzR9GfgZBtDJyxfw"", ""child~lH24zXzSRF6ZNkV2MU_WhA""]",relational-database-administration,[]," 5 weeks of study, 2-4 hours / week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",Rm5xW9JGEe2_vw4ejszVZQ,v2.ondemand,"This capstone project course will give you the chance to practice the work that project managers do in real life when managing projects. You will assume the role of a project manager and gain hands-on experience managing a project from start to finish.  

You will plan, execute, and close the project. By the end, you will have many artifacts that will showcase both your knowledge of predictive and adaptive methodologies, which can then be added to your portfolio to show employers. 

As part of this course, you will produce common project deliverables. Artifacts you will create using a predictive methodology include a work breakdown structure, network diagram, budget, quality and communications management plans, and a risk register. Artifacts that showcase your adaptive methodology skills include user stories, examples of product and sprint backlogs, and a burndown chart analysis. You will also produce a project status report, a change form, and a closeout report. 

This capstone course is a great way to build out your project management portfolio and showcase your skills to prospective employers.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""101259896""]","[""IBM Skills Network Team""]",ADVANCED,Project Management Capstone,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4d/4bcd7c565141148b5e9a3025e30af0/Project-Management-Capstone.jpg,"[""en""]","[""child~FPctPKdSQ2y4byL3POG3Pg"", ""child~u15kHer4REeHFUYyo5Vkkg""]",ibm-project-management-capstone,[],"5 weeks of study, approximately 10 hours total",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",fJCXLJkeEeml5wpuotDEDA,v2.ondemand,"This course introduces deep learning and neural networks with the Keras library. In this course, you’ll be equipped with foundational knowledge and practical skills to build and evaluate deep learning models.  

You’ll begin this course by gaining foundational knowledge of neural networks, including forward and backpropagation, gradient descent, and activation functions. You will explore the challenges of deep network training,  such as the vanishing gradient problem, and learn how to overcome them using techniques like careful activation function selection. 

The hands-on labs in this course allow you to build regression and classification models, dive into advanced architectures, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and autoencoders, and utilize pretrained models for enhanced performance. The course culminates in a final project where you’ll apply what you’ve learned to create a model that classifies images and generates captions. 

By the end of the course, you’ll be able to design, implement, and evaluate a variety of deep learning models and be prepared to take your next steps in the field of machine learning.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""28512151""]","[""Alex Aklson""]",INTERMEDIATE,Introduction to Deep Learning & Neural Networks with Keras,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/25/015d50594c4e74b6e2099114a37905/Brain-under-layers-of-circuit-boards.jpg,"[""en""]","[""FKdStbCPR16Ga6G64hBdFg"", ""TyJtMpDVQUOuKd220GNZRw"", ""child~nXHjIAoGSgyqYse7IsLGBw""]",introduction-to-deep-learning-with-keras,[],2 - 3 hours/week,XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",N3EyGZOGEe6RghJ0G7_aCw,v2.ondemand,"Over 10,600 confirmed breaches were reported globally in 2024, exposing millions of records, including sensitive healthcare and financial data. Organizations need cybersecurity professionals who can protect them against this costly risk. This Encryption and Cryptography Essentials course gives aspiring cybersecurity professionals job-ready skills in encryption, hashing, and digital signatures—key competencies employers are looking for.  

You’ll master symmetric (AES) and asymmetric (RSA) encryption techniques and apply hashing methods like MD5 and SHA to ensure data integrity. You’ll learn how to manage and verify certificates using the Online Certificate Status Protocol (OCSP). Plus, you’ll explore blockchain technology and its applications.  

This course is a comprehensive guide to mastering encryption and cryptography in cybersecurity. Through hands-on labs, interactive quizzes, and projects, you’ll learn how to secure digital information, tackle cybersecurity challenges, and implement encryption and cryptographic solutions.  

If you’re looking to add job-ready encryption and cryptography skills employers need to your resume, enroll today!","[{""subdomainId"": ""security"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""101259896""]","[""IBM Skills Network Team""]",INTERMEDIATE,Encryption and Cryptography Essentials,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bc/dfa0ff7fce427991fdbe39508e2afa/1200x1200px_1059786119.jpg,"[""en""]","[""child~ggqv8QQ0SKaXkN6BW-cCFQ""]",encryption-and-cryptography-essentials,[],4 weeks; 3 hours/week ,XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",-mWRmvBoEe-JQhJp-zb3DQ,v2.ondemand,"Over 80% of enterprises now rely on cloud-native technologies to drive innovation and scale efficiently (CNCF). Professionals with cloud-native, microservices, and DevOps skills are highly sought after! This course equips both aspiring and experienced professionals with the practical, job-ready expertise employers are looking for.  

During the course, you’ll explore cloud-native fundamentals, including hybrid cloud infrastructures and modernization strategies. Plus, you'll gain hands-on experience mastering RESTful APIs, CI/CD pipelines, and Agile and Scrum practices that enhance collaboration and delivery.  

The course also covers essential containerization concepts for using Docker and Kubernetes, ensuring you can build scalable and resilient applications. Plus, through interactive labs and real-world projects, you'll develop the technical skills and confidence to apply these practices effectively in professional environments.  

By the end, you'll have the expertise to build scalable cloud-native applications, automate development workflows, and align technical solutions with business objectives. If you’re keen to open up exciting career opportunities in cloud, enroll today!","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""101259896""]","[""IBM Skills Network Team""]",BEGINNER,"Cloud Native, Microservices, Containers, DevOps and Agile","[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/69/705c65f71f46c39903aa5b55e45f75/Logo-image-5.png,"[""en""]","[""child~lsuFzSY1Tri6tQhs5L0whA"", ""child~yQENaMAMSCCO278h_Om0Sw"", ""j0yp2JcxQ5OTASkkiv8_rA""]",cloud-native-microservices-containers-devops-agile,[],"6 weeks of study, 2–3 hours/week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",gftBfIl0EeqZsg72h675gw,v2.ondemand,"This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. You will learn how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. This course also walks you through best practices, including train and test splits, and regularization techniques.


By the end of this course you should be able to:
Differentiate uses and applications of classification and regression in the context of supervised machine learning 
Describe and use linear regression models
Use a variety of error metrics to compare and select a linear regression model that best suits your data
Articulate why regularization may help prevent overfitting
Use regularization regressions: Ridge, LASSO, and Elastic net
 
Who should take this course?
This course targets aspiring data scientists interested in acquiring hands-on experience  with Supervised Machine Learning Regression techniques in a business setting.
 
What skills should you have?
To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""3361296"", ""61190225"", ""94261105""]","[""Mark J Grover"", ""Miguel Maldonado"", ""Svitlana (Lana) Kramar""]",INTERMEDIATE,Supervised Machine Learning: Regression,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b4/511601ca0e4dbf9597764a9f89e7d8/ML_Graphic.png,"[""en""]","[""41SdNshVEeqBKQ6dN5ZVkw"", ""child~Ao_5yLznEeyRUA73PlX3yQ""]",supervised-machine-learning-regression,[],,XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",zQV3KCOCEeui6AoQjSZBrQ,v2.ondemand,"Start your journey in one of the fastest growing professions today with this beginner-friendly Data Engineering course! You will be introduced to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in the ecosystem. 

You will begin this course by understanding what is data engineering as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in this exciting field. Next you will learn about the data engineering ecosystem, the different types of data structures, file formats, sources of data, and the languages data professionals use in their day-to-day tasks. 

You will become familiar with the components of a data platform and gain an understanding of several different types of data repositories such as Relational (RDBMS) and NoSQL databases, Data Warehouses, Data Marts, Data Lakes and Data Lakehouses. You’ll then learn about Big Data processing tools like Apache Hadoop and Spark. You will also become familiar with ETL, ELT, Data Pipelines and Data Integration. 

This course provides you with an understanding of a typical Data Engineering lifecycle which includes architecting data platforms, designing data stores, and gathering, importing, wrangling, querying, and analyzing data. You will also learn about security, governance, and compliance.  

You will learn about career opportunities in the field of Data Engineering and the different paths that you can take for getting skilled as a Data Engineer. You will hear from several experienced Data Engineers, sharing their insights and advice. 

By the end of this course, you will also have completed several hands-on labs and worked with a relational database, loaded data into the database, and performed some basic querying operations.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""28513748""]","[""Rav Ahuja""]",BEGINNER,Introduction to Data Engineering,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/36/33018f3d3745b79f8ede101591c518/Introduction-to-Data-Engineering-Image.jpg,"[""en""]","[""child~3kZIXZk8REeI1fbdB0lAUw"", ""aDZV7StjEeu8FgroulzDIw"", ""9gaPvqSpRneGVu4pg_048w"", ""JLR4RpDVSa2MQ87dYBb62Q"", ""child~U6N80FgzR9GfgZBtDJyxfw"", ""child~lH24zXzSRF6ZNkV2MU_WhA""]",introduction-to-data-engineering,[],,XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",r0GnHOZaEees-Q6jQMxlrg,v2.ondemand,"Do you want to know why data science has been labeled the sexiest profession of the 21st century? After taking this course, you will be able to answer this question, understand what data science is and what data scientists do, and learn about career paths in the field.   
 
The art of uncovering insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and accurately predicted the Nile River's flooding every year. Since then, people have continued to use data to derive insights and predict outcomes. Recently, they have carved out a unique and distinct field for the work they do. This field is data science.   
 
In today's world, we use Data Science to find patterns in data and make meaningful, data-driven conclusions and predictions.   
This course is for everyone and teaches concepts like how data scientists use machine learning and deep learning and how companies apply data science in business.   
 
You will meet several data scientists, who will share their insights and experiences in data science. By taking this introductory course, you will begin your journey into this thriving field.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""28513748"", ""28512151""]","[""Rav Ahuja"", ""Alex Aklson""]",BEGINNER,What is Data Science? ,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/16/d602b00a6c11e88d594f951694ab88/Data-Science-Orientation.png,"[""en""]","[""child~1WuVOPCMQnOm0rhLvTTSsw"", ""_Fk2Gi3cEeiHghIydZ_0lA"", ""peHrosLQQY6iMw-W3HCQzg"", ""zn_b0Y_lEeqE2Q5NANyNFw"", ""mF13zqpxEeqDdgqb325wdw""]",what-is-datascience,[],"3 weeks of study, 2-3 hours/week, 1 optional week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",PlpNlmwSEe2BqQ42L7X-Zw,v2.ondemand,"This is the final course in the IBM Backend Development Professional Certificate. This capstone project course will give you the chance to practice the work that back-end developers do in real life when working with applications. 

In this course, you will assume the role of a real-life developer working to develop and deploy back-end microservices and applications. 

You will be tasked to develop, deploy, and integrate an application composed of several microservices, and integrating them seamlessly. You will use various back-end tools and technologies, including Flask, Django, NoSQL, and Mongo DB, to accomplish this project while applying coding best practices. You will also deploy and scale and update each of the application’s microservices independently using Cloud Native technologies: Kubernetes, OpenShift and serverless (Code Engine).

In this course, you’ll mostly focus on hands-on work to demonstrate and apply what you have learnt in previous courses. By successfully completing this Capstone you will have added a project to your programming portfolio to showcase to employers.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""101259896""]","[""IBM Skills Network Team""]",ADVANCED,Back-end Application Development Capstone Project,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6d/924c4ce3534d41a7b79c08622174b4/IBM-Back-End-Development-Image-4.jpg,"[""en""]","[""child~uZEuRFPmTFyX0lx8b23DPw""]",backend-development-capstone-project,[],"5 weeks of study, 2-3 hours per week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",UZu0wtZPEemAZRLx6FCxVg,v2.ondemand,"This is the fifth course in the IBM AI Enterprise Workflow Certification specialization.   You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones.

This course introduces you to an area that few data scientists are able to experience: Deploying models for use in large enterprises.  Apache Spark is a very commonly used framework for running machine learning models.  Best practices for using Spark will be covered in this course.  Best practices for data manipulation, model training, and model tuning will also be covered.  The use case will call for the creation and deployment of a recommender system. The course wraps up with an introduction to model deployment technologies.
 
By the end of this course you will be able to:
1.  Use Apache Spark's RDDs, dataframes, and a pipeline
2.  Employ spark-submit scripts to interface with Spark environments
3.  Explain how collaborative filtering and content-based filtering work
4.  Build a data ingestion pipeline using Apache Spark and Apache Spark streaming
5.  Analyze hyperparameters in machine learning models on Apache Spark
6.  Deploy machine learning algorithms using the Apache Spark machine learning interface
7.  Deploy a machine learning model from Watson Studio to Watson Machine Learning

Who should take this course?
This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses.

What skills should you have?
It is assumed that you have completed Courses 1 through 4 of the IBM AI Enterprise Workflow specialization and you have a solid understanding of the following topics prior to starting this course: Fundamental understanding of Linear Algebra; Understand sampling, probability theory, and probability distributions; Knowledge of descriptive and inferential statistical concepts; General understanding of machine learning techniques and best practices; Practiced understanding of Python and the packages commonly used in data science: NumPy, Pandas, matplotlib, scikit-learn; Familiarity with IBM Watson Studio; Familiarity with the design thinking process.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""3361296"", ""41951951""]","[""Mark J Grover"", ""Ray Lopez, Ph.D.""]",ADVANCED,AI Workflow: Enterprise Model Deployment,"[""1207""]",http://coursera-university-assets.s3.amazonaws.com/e0/3b79a264a94c1e95848e823f90c116/IBM-Logo-Blk-copy.png,"[""IBM ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/02/1a2b5e2ad84a6ab66c75b7474fed66/IBM_AI_WORKFLOW.jpg,"[""en""]","[""kiCXgpRzEemmZw4Fe4iRaA""]",ibm-ai-workflow-machine-learning-model-deployment,[],This course requires 7.5 to 9 hours of study.,XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",qnjhdI7-Ee6xzArT8MnIvQ,v2.ondemand,"Show your mastery of JavaScript full-stack application development by completing this capstone project! In this course, you will apply your knowledge and skills to a real-life inspired challenge and use your expertise to develop a successful solution.  

The project provides you with an opportunity to solidify your JavaScript full-stack proficiency. As you design a dynamic user experience using React, you will develop frontend pages, build services for communication with a NoSQL Mongo database, and configure CI/CD pipelines, all while applying Agile practices.  

In this capstone, you apply knowledge of in-demand skills such as:   

- Architecting an application  

- Creating a dynamic frontend using HTML, CSS, and the React JavaScript library 

- Communicating with backend services such as databases  

- Use DevOps practices such as CI/CD pipelines   

- Deploying a serverless application 

- Creating and invoking RESTful microservices  

- Deploying the entire solution on the cloud using Kubernetes  

When you complete this project, you will have a working full-stack application that will impress potential employers.  

Before starting this course, we highly recommend you complete all the courses offered in the IBM JavaScript Full Stack Software Developer Professional Certificate.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""36045943""]","[""Upkar Lidder""]",ADVANCED,JavaScript Full Stack Capstone Project,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/67/03277e52de4f7bbb4f4c592ef57b75/1200x1200_AdobeStock_234427536.jpg,"[""en""]","[""XZeuiy7pR5qeZeOfWIzqXg""]",javascript-full-stack-capstone-project,[],"6 weeks, 2-3 hours per week ",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",N8bmb6pYEe6oQA6J-7B2nw,v2.ondemand,"This IBM course will equip you with the skills to implement, train, and evaluate generative AI models for natural language processing (NLP) using PyTorch. You will explore core NLP tasks, such as document classification, language modeling, and language translation, and gain a foundation in building small and large language models. 

You will learn how to convert words into features using one-hot encoding, bag-of-words, embeddings, and embedding bags, as well as how Word2Vec models represent semantic relationships in text. 

The course covers training and optimizing neural networks for document categorization, developing statistical and neural N-Gram models, and building sequence-to-sequence models using encoder–decoder architectures. You will also learn to evaluate generated text using metrics such as BLEU. 

The hands-on labs provide practical experience with tasks such as classifying documents using PyTorch, generating text with language models, and integrating pretrained embeddings like Word2Vec. You will also implement sequence-to-sequence models to perform tasks such as language translation. 

Enroll today to build in-demand NLP skills and start creating intelligent language applications with PyTorch.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""28511493"", ""138038081""]","[""Joseph Santarcangelo"", ""Fateme Akbari""]",INTERMEDIATE,Gen AI Foundational Models for NLP & Language Understanding,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/13/c12b409ef148faa5d8453e70ae2316/Logo-image.png,"[""en""]","[""FKdStbCPR16Ga6G64hBdFg"", ""child~nXHjIAoGSgyqYse7IsLGBw"", ""tOSiFHwTTP6CzMnPXSTBIw""]",gen-ai-foundational-models-for-nlp-and-language-understanding,[],"2 weeks of study, 4 hours/week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",P0ciGZT0EeyHuA5cIqn4NQ,v2.ondemand,"Keen to kickstart your IT career with networking and storage skills employers need? This beginner course introduces essential IT concepts to help you diagnose and support modern systems. 

 During this course, you’ll explore networking fundamentals such as cables, topologies, network types, and communication models and learn how data travels across wired and wireless connections using protocols and standards. You’ll dive into Wi-Fi, exploring SSID configuration, access point setup, security evolution from WEP to WPA3, and Wi-Fi 6 (802.11ax) features such as frequency bands and channel planning. Plus, you’ll look at NFC (near-field communication) concepts and practical applications.  

 Next, you’ll get hands-on with device configuration and the command-line tools used to troubleshoot connectivity issues in Windows environments. You’ll look at storage essentials, exploring memory , local versus cloud options, and file, block, and object storage. Plus, you’ll learn how to select storage solutions for different networking scenarios while examining NVMe performance factors, including PCIe generations and thermal management.  

Enroll now to build IT skills in networking and storage employers need!","[{""domainId"": ""information-technology"", ""subdomainId"": ""networking""}, {""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""101259896"", ""96619963""]","[""IBM Skills Network Team"", ""Ramanujam Srinivasan""]",BEGINNER,Introduction to Networking and Storage,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ec/4a8a8dcb5d479b8929b4dc671640eb/Intro-to-Networking-Temp-no-watermark-.png,"[""en""]","[""child~-uyBQZCJSeOq1YuhzHjnEA"", ""child~QX3Tpm2nSoaHL2AXxEomrg"", ""child~sUSog4A5SqmIt4Rljwnvlg""]",introduction-to-networking-and-storage,[],"4 weeks of study, 2-3 hours / week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",SHLqKwjHEfC3TQ5GC5VyRw,v2.ondemand,"Data Scientists, AI Researchers, Robotics Engineers, and others who can use Retrieval-Augmented Generation (RAG) can expect to earn entry-level salaries ranging from USD 93,386 to USD 110,720 annually, with highly experienced AI engineers earning as much as USD 172,468 annually (Source: ZipRecruiter).

In this beginner-friendly short course, you’ll begin by exploring RAG fundamentals—learning how RAG enhances information retrieval and user interactions—before building your first RAG pipeline. 

Next, you’ll discover how to create user-friendly Generative AI applications using Python and Gradio, gaining experience with moving from project planning to constructing a QA bot that can answer questions using information contained in source documents. 

Finally, you’ll learn about LlamaIndex, a popular framework for building RAG applications. Moreover, you’ll compare LlamaIndex with LangChain and develop a RAG application using LlamaIndex. 

Throughout this course, you’ll engage in interactive hands-on labs and leverage multiple LLMs, gaining the skills needed to design, implement, and deploy AI-driven solutions that deliver meaningful, context-aware user experiences.

Enroll now to gain valuable RAG skills!","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""145763044"", ""101259896""]","[""Wojciech 'Victor' Fulmyk"", ""IBM Skills Network Team""]",INTERMEDIATE,Build RAG Applications: Get Started,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1b/ae6affc122494fa2593e8d589930ee/1200x1200px_443023633.jpg,"[""en""]","[""child~cNtZPPIUSE6qMCsNKQuY0w"", ""wGEeSVoDT12YqWS8dgPZXg""]",build-rag-applications-get-started,[],"3 weeks of study, 2-3 hours/week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",YWS7CwVeEe6J7hLuX7kBgQ,v2.ondemand,"Skill up for the CompTIA Core 2 Certification exam! This course gives aspiring IT support professionals, helpdesk professionals, and system administrators essential skills for this career-launching certification and a job in IT support, networking, and system management.

During this course, you’ll explore key operating systems (OS), including Microsoft Windows, Apple macOS, Linux, and cloud-based platforms. You’ll learn how to install, update, and manage IT systems while mastering their unique features and functionalities. Plus, you’ll look at IT support best practices, and how to diagnose and troubleshoot common PC and mobile issues, address malware threats, and configure system security. 

You’ll also explore full-disk encryption methods, vulnerabilities, firewall settings, data backup and recovery, remote access management, and privacy policy essentials. You’ll gain insights into AI for public and private usage in OS. Plus, you’ll get hands-on experience using real-world tools, from command-line utilities to firewall settings and SOHO router security. 

Enroll today to strengthen your resume and take the next step toward the CompTIA Core 2 certification exam!","[{""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}, {""subdomainId"": ""security"", ""domainId"": ""information-technology""}]","[""101259896""]","[""IBM Skills Network Team""]",INTERMEDIATE,"Core 2: OS, Software, Security and Operational Procedures","[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f5/7605b43ee14ca389c25a3c18ef74b0/Logo_.png,"[""en""]","[""bSfQnt4RSKymiVCB0NlSyw""]",core2-os-software-security-and-operational-procedures,[],"6 weeks of study, 2–3 hours/week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",Ecsy7Wd4Ee6vIRJJdXRzxQ,v2.ondemand,"This course provides a comprehensive introduction to business intelligence (BI), its key concepts, components, and the benefits and challenges of implementing BI solutions. It also discusses career opportunities and roles available in the BI arena and the skills and qualifications required.

You will also gain insight into the data ecosystem, BI analytics landscape, data repositories, and the extract, transform, and load (ETL) process. Additionally, you will be introduced to the role of statistical analysis in mining and visualizing data to identify patterns and trends and how to weave a compelling story with data.

The course offers practical exposure with hands-on activities and a final project that enables you to apply your knowledge in real-world scenarios. This specialized program is tailored for individuals interested in pursuing a career as a BI analyst, and no prior data analytics experience or degree is required to take this course.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""28513748""]","[""Rav Ahuja""]",BEGINNER,Business Intelligence (BI) Essentials,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/79/8f75d1a6ad498aa248a2eac2cc5858/200594-BI_Logo-Image_1200x1200pxl-copy.jpg,"[""en""]","[""child~QbC-SPRnSfK8a7oO8xsOFw""]",business-intelligence-essentials,[],"6 weeks of study, 2 to 4 hours/week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",i7shRkB1Eeu0vw5X4kJARQ,v2.ondemand,"Showcase your Python skills in this Data Engineering Project! This short course is designed to apply your basic Python skills through the implementation of various techniques for gathering and manipulating data.  

You will take on the role of a Data Engineer by extracting data from multiple sources, and converting the data into specific formats and making it ready for loading into a database for analysis. You will also demonstrate your knowledge of web scraping and utilizing APIs to extract data. 

By the end of this hands-on project, you will have shown your proficiency with important skills to Extract Transform and Load (ETL) data using an IDE, and of course, Python Programming. 

Upon completion of this course, you will also have a great new addition to your portfolio! 

PRE-REQUISITE: 

**Python for Data Science, AI and Development** course from IBM is a pre-requisite for this project course. Please ensure that before taking this course you have either completed the Python for Data Science, AI and Development course from IBM or have equivalent proficiency in working with Python and data. NOTE: This course is not intended to teach you Python and does not have too much new instructional content. It is intended for you to mostly apply prior Python knowledge.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""28511493""]","[""Joseph Santarcangelo""]",INTERMEDIATE,Python Project for Data Engineering,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/18/c3310762bf437a9d490e540db564e8/Final-Data-Engineering.jpg,"[""en""]","[""9gaPvqSpRneGVu4pg_048w"", ""aDZV7StjEeu8FgroulzDIw"", ""child~lH24zXzSRF6ZNkV2MU_WhA""]",python-project-for-data-engineering,[],,XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",lOzgDpibEfCMGg5tbt5J0w,v2.ondemand,"Get hands-on designing secure, intelligent AI agent workflows using the Model Context Protocol (MCP) in this labs-driven course. You’ll see how AI systems connect to external tools, services, and data sources. You’ll learn how those connections can be designed to stay safe and predictable using structured permissions, user prompts, and validation workflows. And in hands-on labs, you’ll build agents that reason, retrieve information, and carry out tasks while maintaining security and control.

You’ll also work with permission enforcement models, JSON-schema-based elicitation, auditing concepts, and real-world security scenarios. You’ll explore how MCP works and why secure design decisions matter in practice. Plus, you’ll break down user requests, shape safe execution flows, and reduce the risk of unintended actions.

Finally, you’ll plan and test a complete MCP-driven agent workflow, showing how usability, capability, and security come together in a real implementation.

This course is designed for professionals in development, architecture, automation, or AI-powered applications who want hands-on, practical experience building responsible AI workflows.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""183608338"", ""193023940"", ""28511493"", ""145763044"", ""183608811"", ""192800014""]","[""Abdul Fatir"", ""Zikai Dou"", ""Joseph Santarcangelo"", ""Wojciech 'Victor' Fulmyk"", ""Joshua Zhou"", ""Jianping Ye""]",INTERMEDIATE,Build AI Agents using MCP,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9e/fc178075fd462082033f2f69b96121/201190-HR_Logo-Image_1200x1200pxl-copy.jpg,"[""en""]","[""child~cNtZPPIUSE6qMCsNKQuY0w""]",build-ai-agents-using-mcp,[],"3 weeks, 3–4 hours/week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",0zE83QZoEfC6EhJcncb--Q,v2.ondemand,"With user experience now a top priority, the UX/UI design market is growing fast (Global Growth Insights). Talented UI/UX designers are in high demand! This course gives you the essential skills to confidently take your next step in learning UX/UIdesign. 

During the course, you’ll learn the basics of user experience (UX) and user interface (UI) design and discover how they work together to create effective, user-friendly products. From websites and mobile apps to emerging technologies like AR/VR, you’ll see how UX/UI shapes the way we interact with digital experiences. 

You'll also explore how UX/UI fits into the product development process and learn about core technical skills, including wireframing, prototyping, user research, and interaction design.  

You’ll  learn about tools used by UX/UI designers such as Figma, and learn how to select the right tools for different design tasks. You’ll also gain hands-on experience developing a prototype using Figma. 
By the end, you’ll have a clear understanding of potential career paths and the skills needed to take your next step in UX/UI design. 

Whether you're exploring design for the first time or looking to build your UX/UI skillset, enroll today and start your UX/UI journey.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""101259896""]","[""IBM Skills Network Team""]",BEGINNER,Introduction to UX/UI Design,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f4/9c386efa1f4672a1349b8cb281e293/1200x1200px_1221372269.jpg,"[""en""]","[""child~t7M7KL0JTvGJ5DEAYFzOLg""]",introduction-to-uxui-design,[],"4 weeks of study, 2–3 hours/week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",Vg29n5zoEe2a0hItqNBhjQ,v2.ondemand,"This course is intended for IT professionals tasked with administering a Storage Scale storage cluster consisting of Linux nodes. The course includes information on various Storage Scale features that enable remote access to data that is stored in a cluster file system. This includes: multi-cluster support, clustered NFS, cluster export services (CES) and protocol support (NFS, SMB, and Object), Active File Management (AFM), and AFM-based Asynchronous Disaster Recovery (AFM DR). The features are described in lecture materials and implemented in lab exercises.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""9727852""]","[""Upendra Rajan""]",INTERMEDIATE,IBM Storage Scale Remote Data Access,"[""1207""]",http://coursera-university-assets.s3.amazonaws.com/e0/3b79a264a94c1e95848e823f90c116/IBM-Logo-Blk-copy.png,"[""IBM ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f7/c0e296064247b595cb4e8f4d0f17cb/3-coursera.png,"[""en""]","[""PnOzM2P0RiuVVL7SbsrcKQ""]",ibm-storage-scale-remote-data-access,[],"4 weeks, 4 hours/week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",OFt7o_8IEee1YxLCJ0cSDA,v2.ondemand,"If there is a shortcut to becoming a Data Scientist, then learning to think and work like a successful Data Scientist is it. In this course, you will learn and then apply this methodology that you can use to tackle any Data Science scenario. You’ll explore two notable data science methodologies, Foundational Data Science Methodology, and the six-stage CRISP-DM data science methodology, and learn how to apply these data science methodologies. Most established data scientists follow these or similar methodologies for solving data science problems.

Begin by learning about forming the business/research problem Learn how data scientists obtain, prepare, and analyze data. Discover how applying data science methodology practices helps ensure that the data used for problem-solving is relevant and properly manipulated to address the question. Next, learn about building the data model, deploying that model, data storytelling, and obtaining feedback You’ll think like a data scientist and develop your data science methodology skills using a real-world inspired scenario through progressive labs hosted within Jupyter Notebooks and using Python.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""28512151"", ""28511560""]","[""Alex Aklson"", ""Polong Lin""]",BEGINNER,Data Science Methodology,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fd/47b69010c411e8a5bdf508210039a8/data_science_mthodology.png,"[""en""]","[""_Fk2Gi3cEeiHghIydZ_0lA"", ""child~1WuVOPCMQnOm0rhLvTTSsw""]",data-science-methodology,[],"3 weeks of study, 2 - 3 hours/week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",Qi_ol-MNEe6bqhL4v8f1dw,v2.ondemand,"Vector databases provide the solid foundation required by large language models to deliver AI-powered similarity searches and recommendation systems for e-commerce recommendations, cybersecurity fraud detection,  medical diagnostics, bioinformatics research, and other complex analysis tasks. Begin learning how to take advantage of the efficiencies vector databases offer in this introductory course by IBM.

In this introductory microcourse, you'll build your knowledge of vector database fundamentals and explore the importance of vector databases in today’s data management landscape. Then, dive into how vector databases differ from traditional databases and learn about vector database types and their uses.  

You’ll also gain hands-on experience setting up environments for vector database operations and performing day-to-day database tasks using Chroma DB. You will learn how to:

•	Set up environments for vector database operations.
•	Perform update, delete, and collection-related tasks.
•	Demonstrate vector database skills and implement similarity searches using real-world data sets. 

This microcourse is built to provide you with broad, foundational vector database knowledge. This course is for engineers, data scientists, machine learning engineers, DevOps engineers, AI Engineers, and others who work with or intend to build large language models (LLMS), generative AI applications, and related transformative technologies.

Enroll today and learn how to take advantage of the efficiencies that vector databases offer!","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""101259896""]","[""IBM Skills Network Team""]",BEGINNER,Vector Databases: An Introduction with Chroma DB,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/43/4ffc2585cc4cb1a5882977fcb2aaea/1200x1200_img3_687336312.jpg,"[""en""]","[""XYVjgjF-Reu2o0CDEt-dQw""]",vector-databases-introduction-with-chromadb,[],4 hours/ 1 week,XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",Rp6Z7EM2EfGcfw7T7lYubw,v2.ondemand,"Get ready to put your Generative AI, Natural Language Processing (NLP), and PyTorch skills into action in this hands-on capstone project from IBM.  

During this course, you’ll solve a real-world text classification challenge by building an end-to-end NLP workflow, from raw text processing to model evaluation. 

You’ll design and implement complete pipelines, including text preprocessing, tokenization, vocabulary creation, and dataset preparation using PyTorch Dataset and DataLoader. You’ll train and compare RNN, LSTM, and Transformer models, and explore how each architecture processes language differently. Plus, you’ll fine-tune pretrained models using Hugging Face Transformers, applying techniques used in production-grade AI systems. 

By the end of the course, you’ll have a portfolio-worthy capstone project that showcases your ability to build, optimize, and evaluate NLP models using metrics such as accuracy and F1-score. Great for talking about in interviews. 

Enroll today to strengthen your Generative AI and NLP skills and showcase your expertise with this powerful, job-oriented capstone project.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""101259896"", ""195318649""]","[""IBM Skills Network Team"", ""Harish Pant""]",ADVANCED,Generative AI for NLP with PyTorch Capstone Project,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/65/234b127fad439c9ee11a04b6388a9e/310068_Logo-Image_1200x1200pxl-copy.jpg,"[""en""]","[""tBobh-_RQgmN9IIcRlPKoQ""]",generative-ai-for-nlp-with-pytorch-capstone-project,[],"4 weeks of study, 2-4 hours per week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",BK_rILlSEfC5ng6d0oG1mw,v2.ondemand,"Demonstrate your job-ready skills to employers in this portfolio-worthy capstone project! During this course, you’ll apply your systems and solutions architecture, stakeholder management, and cloud-native deployment skills to create a real-world enterprise architecture.

As you work through the modules, you’ll apply systems and solutions architect strategies, including stakeholder engagement, requirements gathering, system design, security architecture, cloud deployment, and compliance alignment.

Through hands-on labs, you’ll create project charters, UML, and ERD diagrams. You’ll design scalable cloud-native architectures with Docker and IBM Cloud/AWS, and combine enterprise data pipelines, and incorporate secure frameworks. Plus, you’ll build end-to-end process flow, CI/CD pipelines, and a phase implementation roadmap.

By the end, you’ll have a comprehensive capstone project that demonstrates your expertise in systems and solutions architecture, highlighting your ability to address real organizational challenges and improve enterprise infrastructure.

Enroll today to gain demonstrable experience completing a capstone project that provides valuable practical experience you can discuss in interviews!","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""101259896""]","[""IBM Skills Network Team""]",ADVANCED,Systems and Solutions Architect Capstone Project,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/87/8175f074a84ce4ac5150ac98ca9fa3/201189-HR_Logo-Image_1200x1200pxl-copy.jpg,"[""en""]","[""child~lsuFzSY1Tri6tQhs5L0whA""]",systems-and-solutions-architect-capstone-project,[],"18 hours (7 weeks of study, 2-3 hours/week)",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",xS4z0ZCKEe6gUwo4SlmkMQ,v2.ondemand,"Data engineering processes have undergone an amazing transformation since the advent of Generative AI. In this course, you will explore the impact of generative AI on data engineering. You as a data engineer can use Generative AI to enhance productivity by introducing innovative ways to deliver projects.

Data engineering is responsible for building strong data pipelines, managing data infrastructure, and ensuring high-quality data evaluation.

This course is suitable for existing and aspiring data engineers, data warehousing specialists, and other data professionals such as data analysts, data scientists and BI analysts. 

You will learn how to use and apply generative models for tasks such as architecture design, database querying, data warehouse schema design, data augmentation, data pipelines, ETL workflows, data analysis and mining, data lakehouse, and data repositories. You will also explore challenges and ethical considerations associated with using Generative AI.

Demonstrate your new generative AI skills in a hands-on data engineering project that you can apply in your real-life profession.

Then, complete your final quiz to earn your certificate. You can share both your project and certificate with your current or prospective employers.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""28513748""]","[""Rav Ahuja""]",INTERMEDIATE,Generative AI: Elevate your Data Engineering Career ,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/49/8fd630c3614f678f60a9dd3b540df3/1200x1200_AdobeStock_696277998.jpg,"[""en""]","[""9gaPvqSpRneGVu4pg_048w"", ""child~lH24zXzSRF6ZNkV2MU_WhA"", ""raxdLIl_Q7qjf_cgvoc-Eg""]",generative-ai-elevate-your-data-engineering-career,[],"3 weeks of study, 2-3 hours/week ",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",YNweEHRiEe-gdxJd4XQyjw,v2.ondemand,"This beginner-friendly course introduces AIX from the ground up, requiring no prior UNIX knowledge. You'll explore AIX's core components, navigate its file system, and perform basic operations. Learn to work with the vi editor, manage processes, and customize your environment. By the end, you'll gain practical skills to use AIX confidently, including writing simple shell scripts.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""9727852""]","[""Upendra Rajan""]",BEGINNER,AIX Operating System Fundamentals,"[""1207""]",http://coursera-university-assets.s3.amazonaws.com/e0/3b79a264a94c1e95848e823f90c116/IBM-Logo-Blk-copy.png,"[""IBM ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fd/41939a07eb4af8a38ad330c7cbc17b/logo-2.jpg,"[""en""]","[""xOJhZavTSSeS0N6uwKJDJg""]",aix-basics,[],,XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",uk2w5YmJEeqAGQ5p7POy_w,v2.ondemand,"This course introduces administrative tasks that a system administrator can perform with Linux hosted on IBM Power servers. This includes virtualization concepts such as logical partitioning, installation of Linux, command-line operations, and more interesting administration and device management tasks.

This course includes hands-on exercises with systems from an IBM data center.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""9727852"", ""42215300""]","[""Upendra Rajan"", ""Bill Miller""]",INTERMEDIATE,Linux System Administration with IBM Power Systems,"[""1207""]",http://coursera-university-assets.s3.amazonaws.com/e0/3b79a264a94c1e95848e823f90c116/IBM-Logo-Blk-copy.png,"[""IBM ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7a/4854b085c14aecb40271c44f1fc7c3/ibm-logo-1.png,"[""en""]","[""child~2SRrUxh-QBKR8DU1whx7Kg""]",linux-system-administration-ibm-power-systems,[],,XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",rNyuLa-pEeytqw64hz8ZCw,v2.ondemand,"Technical Support professionals are in great demand! This is the first course in the IBM IT Support Professional Certificate program, designed to prepare you for a rewarding career in technical support. 

You will begin this self-paced course by learning what Informational Technology (IT) support is all about. You'll find out the roles and responsibilities of Technical Support professionals and become familiar with all the different career paths you can take in Technical Support. You will also hear from experts in the IT industry about getting started in the field and how you can pursue this career without prior experience or degrees. You'll also learn some basics about the technology that technical support professionals use. 

You will hear from industry insiders about how you can develop a customer support mindset and how to talk with customers and solve their problems. You will gain insights into performance evaluation, career paths, and the industry-recognized certifications that can propel your technical support career forward. 

You'll then gain a comprehensive understanding of support tools and support channels and how they streamline issue resolution. You will also learn about the importance of Service-Level Agreements (SLAs) and how they contribute to delivering exceptional support experiences. 

Next you will explore ticketing systems, a fundamental component of modern technical support. You'll learn about their features, benefits, and the lifecycle of a ticket or a support issue. Moreover, you'll immerse yourself in tech support methodologies, frameworks, and the art of effective documentation.  

The course wraps up with a project that provides you with the opportunity to use a ticketing system hands-on and simulate the work that IT Support Specialists and Helpdesk Technician’s perform.","[{""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""28513748""]","[""Rav Ahuja""]",BEGINNER,Introduction to Technical Support ,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/17/51a9215274414aa0437f3c69a67b86/Intro-to-tech-support_Temp-No-Watermark.jpg,"[""en""]","[""child~-uyBQZCJSeOq1YuhzHjnEA""]",introduction-to-technical-support,[],"4 weeks of study, 2-4 hours/week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",mFu9FE1kEeyLIRLL9niz0w,v2.ondemand,"Ready to get hands-on exploring software, programming, and databases in this comprehensive introduction to the digital technologies transforming today’s workplaces? 

During this course, you’ll build a strong foundation in computing platforms, software lifecycles, application compatibility, and cloud-based deployment. You’ll learn to install, manage, and secure modern web browsers using extensions and plug-ins. You’ll explore programming with coding logic and get hands-on using languages like Python. Plus, you’ll discover data and database fundamentals, including interfaces, backups, and real-world applications. 

 You’ll also dive into cutting-edge concepts such as artificial intelligence (AI), generative AI, chatbots, and modern analytics applications. Additionally, you’ll explore data monetization strategies and gain insight into how organizations are leveraging data as an asset for growth and innovation. 

Throughout, you’ll get hands-on experience in labs. Then, in a final project, you’ll apply your new skills in software, programming, databases, and emerging technologies. 

Enroll today to build core skills you need to kickstart your career in IT!","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""101259896"", ""96619963""]","[""IBM Skills Network Team"", ""Ramanujam Srinivasan""]",BEGINNER,"Introduction to Software, Programming, and Databases ","[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/64/c0bdc06ddb4b6b9b82934140b9893d/Final_Introductions-to-Software--Applications--and-Databases.jpg,"[""en""]","[""child~-uyBQZCJSeOq1YuhzHjnEA"", ""child~QX3Tpm2nSoaHL2AXxEomrg"", ""child~sUSog4A5SqmIt4Rljwnvlg""]",introduction-software-programming-and-databases,[],"5 weeks of study, 2-4 hours/week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",Q9Avpol0EeqAWhIJ6hhvFw,v2.ondemand,"This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing.


By the end of this course you should be able to:
Retrieve data from multiple data sources: SQL, NoSQL databases, APIs, Cloud 
Describe and use common feature selection and feature engineering techniques
Handle categorical and ordinal features, as well as missing values
Use a variety of techniques for detecting and dealing with outliers
Articulate why feature scaling is important and use a variety of scaling techniques
 
Who should take this course?
This course targets aspiring data scientists interested in acquiring hands-on experience  with Machine Learning and Artificial Intelligence in a business setting.
 
What skills should you have?
To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Calculus, Linear Algebra, Probability, and Statistics.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""28511493"", ""94261105""]","[""Joseph Santarcangelo"", ""Svitlana (Lana) Kramar""]",INTERMEDIATE,Exploratory Data Analysis for Machine Learning,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6f/fa00c0b6084c97b61f7c93def2ce54/ML_banner.png,"[""en""]","[""41SdNshVEeqBKQ6dN5ZVkw"", ""child~Ao_5yLznEeyRUA73PlX3yQ""]",ibm-exploratory-data-analysis-for-machine-learning,[],,XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert""]",AQpJvSfHEe2ebw7xojjXvw,v2.ondemand,"This course is for Linux Systems Administrators, Architects and Developers who are already familiar with Linux components and everyday tasks, but need a primer on how to best take advantage of the LinuxONE platform. This includes working with the hardware, software, facilities, and processes unique to LinuxONE.  It is comprised of videos, links to online resources, and a final test for a badge. ","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""31623304"", ""38935940""]","[""Jeff Bisti"", ""Mark Bylok""]",BEGINNER,Linux on LinuxONE,"[""1207""]",http://coursera-university-assets.s3.amazonaws.com/e0/3b79a264a94c1e95848e823f90c116/IBM-Logo-Blk-copy.png,"[""IBM ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/49/b1af99ca054b67aaf7da79e29dd2ad/2021_08_18_IBM_Z_LINUX_DETAIL_0009_FNL.jpg,"[""en""]",[],linux-on-linuxone,[],3 days,XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",K4c1kGBoEe22Lwq9TgDcrQ,v2.ondemand,"This course is designed to prepare you to enter the job market as a data engineer. It provides guidance about the regular functions and tasks of data engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development. It explains practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch. You will learn how to find and assess prospective job positions, apply to them, and lay the groundwork for interviewing. You will also get inside tips and steps you can use to perform professionally and effectively at interviews. Let seasoned professionals share their experience to help you get ahead of the competition.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""101259896""]","[""IBM Skills Network Team""]",BEGINNER,Data Engineering Career Guide and Interview Preparation,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0a/9f66d9429e472e8418736810114280/DE-Career-Guide.jpg,"[""en""]","[""child~lH24zXzSRF6ZNkV2MU_WhA""]",data-engineering-career-guide-and-interview-preparation,[],"3 weeks of study, 1-2 hours/week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",p0gJ8ShAEfG0bhLkVBdVFw,v2.ondemand,"Many aspiring consultants struggle to break into the field, unsure of what management consulting really involves or how to develop the structured thinking that top firms demand. 

This comprehensive introduction demystifies management consulting, taking you inside the profession to understand how consultants create value for organizations. From the top three or MBB firms to specialized boutiques, you'll explore the consulting landscape and identify your best-fit career path. Master foundational frameworks like MECE and hypothesis-driven thinking through hands-on exercises with real business cases. Learn to distinguish symptoms from root causes, structure ambiguous problems, and communicate solutions with impact. 

Basic computer literacy. No prior consulting experience required. 

This course is designed for aspiring management analysts, recent graduates considering consulting careers, professionals transitioning into consulting, and anyone seeking to understand the fundamentals of management consulting and structured problem-solving. 

By course completion, you'll possess the analytical toolkit and professional insights needed to launch your consulting journey. Whether targeting traditional firms or internal consulting roles, you'll understand what excellence looks like and how to position yourself for success in this dynamic, rewarding field.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""199799055"", ""29341502""]","[""Alfonso Berumen"", ""Antonio Cangiano""]",BEGINNER,Introduction to Management Consulting,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7d/c9bf09735a4111b8014aaf8117d301/Introduction-to-Management-Consulting-1200x1200px-.jpg,"[""en""]","[""i_YwL8hTREW_wWmesmezJQ""]",intro-to-management-consulting,[],10 Hours,XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",GDQMSxDWEeitFhJL4G-A_g,v2.ondemand,"Working knowledge of SQL (or Structured Query Language) is a must for data professionals like Data Scientists, Data Analysts and Data Engineers. Much of the world's data resides in databases. SQL is a powerful language used for communicating with and extracting data from databases.

In this course you will learn SQL inside out- from the very basics of Select statements to
advanced concepts like JOINs. 
You will: 
-write foundational SQL statements like: SELECT, INSERT, UPDATE, and DELETE 
-filter result sets, use WHERE, COUNT, DISTINCT, and LIMIT clauses 
-differentiate between DML & DDL 
-CREATE, ALTER, DROP and load tables 
-use string patterns and ranges; ORDER and GROUP result sets, and built-in database functions
-build sub-queries and query data from multiple tables 
-access databases as a data scientist using Jupyter notebooks with SQL and Python
-work with advanced concepts like Stored Procedures, Views, ACID Transactions, Inner & Outer JOINs through hands-on labs and projects

You will  practice building SQL queries, work with real databases on the Cloud, and use real data science tools. 

In the final project you’ll analyze multiple real-world datasets to demonstrate your skills.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""28513748"", ""32077782""]","[""Rav Ahuja"", ""Hima Vasudevan""]",BEGINNER,Databases and SQL for Data Science with Python,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bb/f59850318b11e88de79f6e54d6a7e2/184x184-SQL-for-DataScience.png,"[""en""]","[""child~1WuVOPCMQnOm0rhLvTTSsw"", ""child~WMfC4MMFTQCplwR80lzVuw"", ""_Fk2Gi3cEeiHghIydZ_0lA"", ""aDZV7StjEeu8FgroulzDIw"", ""9gaPvqSpRneGVu4pg_048w"", ""child~SlXhnSS5RzWS8wv-b82-Pw"", ""child~RXPU-mWaEeunahLL3oLBRQ"", ""child~lH24zXzSRF6ZNkV2MU_WhA""]",sql-data-science,[],"6 weeks of study, 2-4 hours/week.",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",7kUpf2HOEeyIUg4Qv2RsBQ,v2.ondemand,"Data analytics professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field?

This course will prepare you to enter the job market as a great candidate for a data analyst position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch. You will learn how to find and assess prospective job positions, apply to them, and lay the groundwork for interviewing. 

The course doesn’t stop there, however. You will also get inside tips and steps you can use to perform professionally and effectively at interviews. You will learn how to approach a take-home challenges and get to practice completing them. Additionally, it provides information about the regular functions and tasks of data analysts, as well as the opportunities of the profession and some options for career development.

You will get guidance from a number of experts in the data industry through the course. They will discuss their own career paths and talk about what they have learned about networking, interviewing, solving coding problems, and fielding other questions you may encounter as a candidate. Let seasoned data analysis professionals share their experience to help you get ahead and land the job you want.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""101259896""]","[""IBM Skills Network Team""]",BEGINNER,Data Analyst Career Guide and Interview Preparation,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fb/d77c65d85f47e0a63367a716f2892c/Career-Guide-and-Interview-Prep-for-Data-Analyst-PC.jpg,"[""en""]","[""child~WMfC4MMFTQCplwR80lzVuw""]",career-guide-and-interview-prep-for-data-analyst,[],"3 weeks of study, 1-2 hours/week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",ybc-17IKEe2d3wo_DItpEw,v2.ondemand,"Application developers and DevOps professionals must ensure their app works at its best. However, these app may need help with bugs, slow speed, or subpar performance. Professionals need to monitor and observe its performance continually.

Application monitoring involves identifying, measuring, and evaluating the effectiveness of an application. On the other hand, Observability refers to how well an app can be monitored by the data obtained from monitoring. Both monitoring and observability are necessary to gain insights into the system and ensure its proper functioning.

This course thoroughly introduces monitoring and observability, covering fundamental concepts and popular tools like Prometheus, Grafana, Mezmo (LogDNA), and Instana. You will also learn about the three pillars of observability and tracing for container applications and gain hands-on experience with the OpenTelemetry framework.

Throughout the course, you will complete interactive hands-on labs to apply your knowledge, and gain experience with the tools and techniques used by software and DevOps professionals.

By the end of this course, you will be able to demonstrate your knowledge of monitoring and observability, and you will gain the confidence to perform these tasks in a practical setting.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""64951899""]","[""John Rofrano""]",INTERMEDIATE,Monitoring and Observability for Development and DevOps,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/99/80ce029ac84cfab9f097b2ce311ccf/MO_Logo-Image_1200x1200pxl-copy.jpg,"[""en""]","[""child~1tKxy4CaQl2fzwhLpnMwoQ"", ""child~V3rIpe_CR8qTAYtvo20MzA"", ""child~tur5WQWQSAyh-k1uQP4qxw"", ""child~uZEuRFPmTFyX0lx8b23DPw""]",monitoring-and-observability-for-development-and-devops,[],"4 weeks of study, 3-5 hours/week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",fYuElDEgEeiCvhLLCIZW_A,v2.ondemand,"Analyzing data with Python is a key skill for aspiring Data Scientists and Analysts!

This course takes you from the basics of importing and cleaning data to building and evaluating predictive models. You’ll learn how to collect data from various sources, wrangle and format it, perform exploratory data analysis (EDA), and create effective visualizations. As you progress, you’ll build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. 

Through hands-on labs and projects, you’ll gain practical experience using popular Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, SciPy, and Scikit-learn. These tools will help you manipulate data, create insights, and make predictions.

By completing this course, you’ll not only develop strong data analysis skills but also earn a Coursera certificate and an IBM digital badge to showcase your achievement.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""28511493""]","[""Joseph Santarcangelo""]",INTERMEDIATE,Data Analysis with Python,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1e/bccef0386611e889ebf7c982548ca6/Screen-Shot-2018-04-04-at-8.13.17-PM.png,"[""en""]","[""FKdStbCPR16Ga6G64hBdFg"", ""child~0G3vD2WVEeuOYw4Q6REzlw"", ""child~1WuVOPCMQnOm0rhLvTTSsw"", ""child~WMfC4MMFTQCplwR80lzVuw""]",data-analysis-with-python,[],This course requires approximately two hours a week for six weeks.,XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",bbLUnmLQEe66xBLRCmM3Cw,v2.ondemand,"Comprehensively prepare for the CompTIA A+ certification exam with expert-designed cheat sheets and 2 simulated mock exams. 

During the course, you'll explore the A+ exam domains, testing strategies, eligibility requirements, and sign-up procedures. Plus, you’ll access 60+ pages of exam-focused cheat sheet content to support your certification preparation strategies. 

To boost your preparation, you’ll then assess your Core 1 and Core 2 skills with ungraded practice exams. Plus, you’ll complete two graded, simulated mock exams that test your IT knowledge relative to the CompTIA A+ domains. These tests contain the same number and types of questions and exam timing as the official CompTIA A+ Core 1 and Core 2 Certification exams. 

This course assumes basic familiarity with IT fundamentals (ITF+), Core 1, and Core 2 content. If you're new to these skills, consider completing the IBM IT Support Professional Certificate or IBM Information Technology (IT) and Cloud Fundamentals Specialization before enrolling in this course. 

Limited time offer:  Pass your mock exams and receive a 30% discount voucher for the A+ Certification exams. Enroll today!","[{""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}, {""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""101259896""]","[""IBM Skills Network Team""]",INTERMEDIATE,Practice Exams for CompTIA A+ Certification: Core 1 & Core 2,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/28/34445e133c4cfda1e9040d10fe308f/AdobeStock_644334126-1-.jpeg,"[""en""]","[""bSfQnt4RSKymiVCB0NlSyw""]",practice-exam-for-comptia-a,[],"3 weeks of study, 1-2 hours/week ",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",pqEG8v9nEe-m2BKpUCEabw,v2.ondemand,"McKinsey estimates that generative AI (GenAI) can boost marketing productivity by up to 15%. Marketing professionals who can leverage GenAI to enhance efficiency, personalization, and content creation are in high demand. This course gives you the sought-after GenAI skills businesses need.  

During the course, you’ll explore using GenAI to automate content creation, enhance ad copy, and personalize email campaigns and social media posts. You’ll learn to optimize digital advertising using AI for audience segmentation, creative refinement, and personalized campaigns. You’ll discover how AI can enhance SEO through keyword research, content optimization, and competitor analysis. You’ll explore AI-driven approaches for enhancing e-commerce experiences.   

You’ll get hands-on practice generating engaging content, personalizing campaigns, and optimizing strategies for better results. 

Additionally, you’ll examine ethical considerations, challenges, and best practices for AI integration in digital marketing.   

If you’re looking to boost your career with in-demand GenAI skills businesses are looking for, enroll today and power up your resume in just a few weeks!","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""101259896""]","[""IBM Skills Network Team""]",INTERMEDIATE,Generative AI: Accelerate your Digital Marketing Career,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5f/9ade8b0373482f809de6b468cbb264/201005_Logo-Image_600x600pxl-copy-1.jpg,"[""en""]","[""child~Q3KvG0S9QpW9VGHfwr4cFg"", ""child~XsYjcT2OQ46Pb-iARkp4OA""]",generative-ai--accelerate-your-digital-marketing-career,[],"6 weeks of study, 2–3 hours/week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",dKBs9ha_Ee-d6hIj26omoQ,v2.ondemand,"Get hands-on experience in building and deploying intelligent systems using PyTorch by using one of the most widely used deep learning frameworks in AI development. 

In this practical course, you’ll gain job-ready skills in deep learning, machine learning, and neural networks, boosting your resume for roles like AI Engineer, Machine Learning Engineer, and Data Scientist.  

During the course, you’ll implement logistic regression and softmax regression, train deep neural networks, and build convolutional neural networks (CNNs) for real-world image classification tasks. You’ll master core techniques such as gradient descent, backpropagation, and cross entropy loss, while improving performance with weight initialization, dropout regularization, and batch normalization. Additionally, you’ll leverage GPU acceleration, perform hyperparameter tuning, and apply transfer learning using pretrained models such as ResNet18.  

Finally, you’ll complete a project, where you’ll design, train, and evaluate models using modern model optimization and data preprocessing workflows. Great to talk about in interviews!  

Enroll today to accelerate your career in deep learning, AI, and machine learning.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""195318649"", ""28511493""]","[""Harish Pant"", ""Joseph Santarcangelo""]",INTERMEDIATE,Deep Learning with PyTorch,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e1/b25103cac240d7a1ac727f123a3665/310055_Logo-Image_1200x1200pxl-copy.jpg,"[""en""]","[""TyJtMpDVQUOuKd220GNZRw"", ""child~nXHjIAoGSgyqYse7IsLGBw"", ""tBobh-_RQgmN9IIcRlPKoQ""]",advanced-deep-learning-with-pytorch,[],"6 weeks of study, 2-5 hours per week ",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",1Ek76wAuEfCm2BKpUCEabw,v2.ondemand,"Get ready to power up your resume with the GenAI development skills employers need. During this course you’ll explore core prompt engineering strategies—like in-context learning and chain-of-thought—and create and manage robust prompt templates. Plus, you’ll follow best practices to handle common errors and experiment with different LLMs and configurations to strengthen your outputs. 

You’ll then dive deeper into LangChain, mastering chains, tools, and agents to create smarter, more responsive applications. Through interactive labs, you’ll build a complete generative AI app using Python that accepts user input and processes it through your backend prompt logic. Plus, you’ll explore web-based interfaces using tools like Flask and Gradio, developing real-time user experiences powered by LLMs. 

By the end, you’ll have the job-ready skills and demonstrable practical experience employers look for to design and implement full-stack GenAI apps that solve real-world problems. Sound good? Enroll today!","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""163607506"", ""101259896""]","[""Hailey Quach"", ""IBM Skills Network Team""]",INTERMEDIATE, Develop Generative AI Applications: Get Started,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fe/081dbff65247498b603ceabb5e4180/1200x1200px_598538600.jpg,"[""en""]","[""child~cNtZPPIUSE6qMCsNKQuY0w"", ""wGEeSVoDT12YqWS8dgPZXg""]",develop-generative-ai-applications-get-started,[],"3 weeks of study, 2-3 hours/week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",0_J99TlPEfGP5A7qtRBM-w,v2.ondemand,"Great consultants distinguish themselves not through individual skills but through their ability to synthesize diverse capabilities into coherent solutions.  

This capstone course challenges you to integrate everything you've learned into a comprehensive consulting project. You'll tackle GlobalRetail Inc.'s transformation challenge, a multi-faceted problem requiring strategic repositioning, operational improvement, financial restructuring, and organizational change. Through progressively complex modules, you'll experience the full consulting lifecycle: scoping the engagement, conducting analyses, developing recommendations, creating deliverables, and presenting to executives. Unlike previous courses focusing on individual skills, this capstone emphasizes integration and synthesis.  

By completion, you'll have created a complete consulting portfolio demonstrating your readiness to add value from day one in professional consulting roles.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""169492103"", ""29341502""]","[""Ahmed Hassan"", ""Antonio Cangiano""]",ADVANCED,Capstone: Integrated Management Consulting Project,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4d/8e8f8f4d2941438b7a7798fac763db/Capstone_-Integrated-Management-Consulting-Project-1200x1200px-.jpg,"[""en""]","[""i_YwL8hTREW_wWmesmezJQ""]",capstone-integrated-management-consulting-project,[],13.5 hours,XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert""]",ya295pQaEey5lA4z0b06iw,v2.ondemand,"This course is designed to provide the SMP/E skills needed in the installation and maintenance of optional features and maintenance in the z/OS operating environment. Students are taught to define the SMP/E database and invoke SMP/E to add, modify, or replace system elements. The course includes extensive hands-on labs using a current level of SMP/E. Students will get practical experience in the SMP/E tasks involved in installing a z/OS product. Emphasis is on interpreting results of SMP/E processing. SMP/E concepts examined in this course include modification control statements, the consolidated software inventory, zone structure, and error analysis. SMP/E commands such as RECEIVE, APPLY, ACCEPT, RESTORE, REPORT, and LIST are discussed. Students will also learn how to perform automated SMP/E delivery of z/OS and product maintenance over the Internet with an automated SMP/E process that downloads and installs IBM preventive and corrective service over the Internet.
After completing this course, you should be able to:
•Describe how SMP/E is used as a tool for system maintenance
•Interpret modification control statements in a sample SYSMOD
•Create a consolidated software inventory database to support installation and maintenance requirements
•Use the SMP/E dialogs to install a product and its related service
•Manage exception SYSMOD data
•Describe the use of the primary and secondary data sets required by SMP/E
•Analyze output from SMP/E processing and resolve commonly encountered problems
•Describe the use of the REPORT command to determine software dependencies between zones
•Use the BUILDMCS process to create a function SYSMOD from an installed product and its service
•Use the new SMP/E functions to install software service automatically over the Internet
▪Implement support for communication server FTP client
▪Use the new RECEIVE ORDER command to order and install z/OS maintenance automatically over the Internet
•Use z/OSMF to install software and perform service update","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""42898508""]","[""Martin Keen""]",INTERMEDIATE,SMP/E for z/OS Workshop,"[""1207""]",http://coursera-university-assets.s3.amazonaws.com/e0/3b79a264a94c1e95848e823f90c116/IBM-Logo-Blk-copy.png,"[""IBM ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d9/b0ecf37c024dc2a1abc7edd3d2abff/IT-Guy.jpg,"[""en""]",[],smpe-for-zos-workshop,[],,XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",gdzwYpiAEe6Yvg6sv84HSQ,v2.ondemand,"Ready for an interactive learning experience to build real-world generative AI applications and chatbots? 


In this hands-on course, you’ll develop a series of guided projects using Python, Flask, Gradio, and LangChain to create AI-powered applications for practical scenarios, including a voice assistant, a meeting summarizer, a language translator, and a personalized career coach. You’ll work with popular large language models (LLMs) such as GPT-3, Llama 2, and Flan-UL2, hosted on platforms like IBM watsonx and Hugging Face. 


You’ll also explore advanced concepts, such as retrieval-augmented generation (RAG), to enhance LLM responses with external knowledge, and integrate speech-to-text (STT) and text-to-speech (TTS) using IBM Watson® Speech Libraries and OpenAI Whisper to enable voice interactions. 


While a basic understanding of Python is essential, knowledge of HTML, CSS, or JavaScript is helpful but not required. The course includes supporting readings and videos to build foundational knowledge of the models and frameworks used. In addition, a comprehensive course glossary will help reinforce your learning.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""101259896"", ""122441826""]","[""IBM Skills Network Team"", ""Sina Nazeri""]",INTERMEDIATE,Building Generative AI-Powered Applications with Python,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b0/34e02ae2f6408fbf470224843f468e/AdobeStock_651548104.jpeg,"[""en""]","[""FKdStbCPR16Ga6G64hBdFg"", ""child~faDd9OteQi2rEBpQGicyCw""]",building-gen-ai-powered-applications,[],"6 weeks of study, 1–2 hours/week",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",4P5ruGt9EfGR5Qr_-OCKxQ,v2.ondemand,"This course introduces the foundational shift from traditional data engineering to AI-native data engineering.
Learners reframe data platforms and pipelines as intelligent, production-grade assets that power analytics, machine learning, generative AI systems, semantic search, RAG workflows, and AI-powered assistants.
This course explains how AI workloads consume data differently, introduces embeddings and vector retrieval as core primitives, demystifies LLMs as technical systems, and helps learners connect familiar data engineering skills to modern AI data lifecycles and AI-native architectures.
The updated Course 1 design also emphasizes that production AI-native systems require ownership boundaries and collaboration across data engineering, ML/AI engineering, application engineering, platform engineering, security/governance, and product teams.
By the end of the course, learners understand how modern AI systems are built end to end, how data engineering enables them, and how to redesign legacy pipelines to support semantic search, RAG, and AI-powered workflows.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""29341502"", ""212968305""]","[""Antonio Cangiano"", ""Ruslan Podgaets""]",INTERMEDIATE,Foundations of AI Native Data Engineering,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b2/5ca22aa699466ca0de8364a833c018/course_image.jpg,"[""en""]","[""oZ7ySOjdTBq4cC9oZN0_6g""]",foundations-of-ai-native-data-engineering,[],2 weeks / 5–6 hours per week,XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert"", ""Specialization""]",FkAMrrwEEey8ogoy0lwspQ,v2.ondemand,"Are you curious about the lucrative field that is software engineering and how you might be a part of it? This is the course for you! By taking this course, you will gain foundational knowledge of software development, programming, and the many exciting job roles and career paths that the IT industry offers.

Learn about the power of the Software Development Lifecycle (SDLC), and modern software development frameworks methodologies like Agile and Scrum. Explore fundamental programming principles and foundations of design, architecture, and deployment. The course offers a number of labs that will help you get important hands-on experience. These include getting started with an IDE, the basics of programming in Python, and Hello World in 10 languages.

The field of software engineering is growing at an estimated rate of 22% according to the US Bureau of Labor and Statistics. In addition to aspiring software engineers, front-end, back-end, full-stack developers, and DevOps professionals, this course is also suitable for those in related careers such as Product and Project Managers, IT Managers, Information Developers, UI/UX designers, and others who communicate and interact with software engineers.

You will learn about the different job opportunities and possible career paths in software engineering and hear from industry professionals about their daily work.
Software engineering professionals are in great demand, and now is the right time to learn more about this exciting domain. Start by enrolling now!","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""28513748""]","[""Rav Ahuja""]",BEGINNER,Introduction to Software Engineering,"[""348""]",http://coursera-university-assets.s3.amazonaws.com/c0/87a10033a311e892619b85c6fd62bb/IBM-200x48.png,"[""IBM""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/19/c88bc089344a4492577b40f2ac5c00/Introduction-to-Software-Engineering--Final-image.jpg,"[""en""]","[""7ERwSQnXEe23EhLnQryuGw"", ""XZeuiy7pR5qeZeOfWIzqXg"", ""PcLcxy4QSEyvznUR586XHA"", ""child~uZEuRFPmTFyX0lx8b23DPw"", ""child~tur5WQWQSAyh-k1uQP4qxw"", ""child~u15kHer4REeHFUYyo5Vkkg"", ""child~1tKxy4CaQl2fzwhLpnMwoQ"", ""child~faDd9OteQi2rEBpQGicyCw"", ""child~28zK1Tc9Sh2VIvPAdwjdfA"", ""child~yQENaMAMSCCO278h_Om0Sw"", ""child~M87AMcC-RwC6wjEWWkg0xg"", ""child~j5ACG-k9R9q4RaBcJ5ND8w""]",introduction-to-software-engineering,[],"6 weeks of study, 2-3 hours/week ",XoJruCpQAX441wKj8,ACVoSiN8TNoVM7ETq
[],"[""VerifiedCert""]",NvjGfPeCEeSW1SIAC3oCCQ,v2.ondemand,"O curso Gestão para a Aprendizagem: Módulo Gestão Estratégica aborda uma nova concepção de gestão escolar focada na aprendizagem dos alunos e nas dimensões de trabalho do gestor visando o sucesso escolar, com foco na rede pública. O cerne do curso é o planejamento estratégico e os instrumentos práticos, tais como a caracterização da comunidade escolar, a avaliação de eficácia, a análise SWOT e o plano de ação.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""1399738"", ""1419014"", ""9601206""]","[""Silvana Tamassia"", ""Claudia Zuppini Dalcorso"", ""Ednéia Regina Burger""]",,Gestão para a Aprendizagem: Módulo Gestão Estratégica,"[""224"", ""320""]",,"[""Fundação Lemann"", ""Elos Educacional""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/04/3d3cd3fc374ef48f44672b84dea9a9/2021_CapaCurso_-GestaoAprendizagem.png,"[""pt""]",[],gestao-escolar,[],15 hours of videos and assessments,vaxhMDD3gGciIoAua,by6hsnNbb1rZAL1nB
[],"[""VerifiedCert""]",gleO-1GoEeWxCwowHhzTpQ,v2.ondemand,"Público-Alvo
Profissionais, estudantes e interessados da área de Marketing que desejam conhecer os fundamentos básicos de Marketing Analítico e sua aplicação prática.
 
Objetivo do Curso
O curso tem como objetivo central introduzir o conceito de Marketing Analítico e apresentar de forma simplificada e prática algumas técnicas, de modo que o participante possa avaliar e recomendar decisões e ações em Marketing baseadas em análise de dados.

Objetivos de Aprendizagem
Ao final do curso o aluno será capaz de:
•	Explicar a importância de definir e utilizar métricas em Marketing.
•	Desenvolver métodos de levantamento de dados primários e secundários.
•	Desenvolver hipóteses testáveis inferindo causalidades. 
•	Segmentar o mercado com base no comportamento do consumidor. 
•	Gerar insights para o posicionamento de marca. 
•	Suportar a tomada de decisões em Marketing com base em fatos e dados.

Dedicação e Carga-Horária
Cinco módulos temáticos de aproximadamente 3h cada, totalizando 15h. Cada módulo tem duração estimada de uma semana.

Assista ao vídeo de divulgação do curso: https://youtu.be/FvtgLAW_s8Y","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""16462848"", ""14465054"", ""16462270""]","[""Carlos R. F. Bara"", ""Danny Claro"", ""Silvio Laban""]",,Introdução ao Marketing Analítico,"[""277""]",https://coursera-university-assets.s3.amazonaws.com/6d/bcff609abc11e59112fdef0296ec86/png_200x48.png,"[""Insper""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bc/20d7709ac211e5809fef7161d114b1/banner.png,"[""pt""]",[],marketing-analitico,[],"5 módulos de 3h de atividades, totalizando 15h. ",vaxhMDD3gGciIoAua,by6hsnNbb1rZAL1nB
[],[],dUNIFe9gEeSIIyIAC7LOhg,v2.ondemand,"Nesse curso, você irá entender um ingrediente fundamental da revolução digital: a amostragem, que permite que sinais como músicas e imagens sejam armazenados e processados em dispositivos digitais.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""8711667""]","[""Renato da Rocha Lopes""]",,Processamento Digital de Sinais - Amostragem,"[""208""]",https://coursera-university-assets.s3.amazonaws.com/b1/c7fb70247e11e480bb05b7273d4225/wide_logo_for_course2.png,"[""Universidade Estadual de Campinas""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2c/0138303e0a11e4a4056186f947f6eb/digital2.jpg,"[""pt""]",[],pds,[],Carga horária: 12 horas,vaxhMDD3gGciIoAua,by6hsnNbb1rZAL1nB
[],"[""VerifiedCert"", ""Specialization""]",rajsT7UJEeWl_hJObLDVwQ,v2.ondemand,剪辑台前，剪辑师就像厨师对待食材一样，摆弄着拍摄现场记录下来的影像片段，用影像和声音去捕捉线索和瞬间，讲述一个故事，同时赋予故事以力量、以情感。怎样平衡剪辑給画面带来的跳跃？当有几条情节线索相互穿插时，又应使用哪些剪辑手法？剪辑过程和编剧的过程一样，以叙事和抒情为最高准则，同时不断突破陈规，创造专属于自己的独特风格。本课程将带领学习者从剪辑开始，认识镜头，认识剪辑的语法，揭开微电影创作的神秘面纱。,"[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""8054217""]","[""许 肖潇""]",BEGINNER,剪辑：像编剧一样剪辑,"[""188""]",https://coursera-university-assets.s3.amazonaws.com/07/8e38d079cb11e3835115b95b976419/widelogo-new.png,"[""Fudan University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/54/33b340bd1711e59263950a70476197/_______.jpg,"[""zh-CN""]","[""DvH1jLUFEeWUxw603r-OPQ""]",jian-ji,[],"5 周课程, 2-4 小时/周",8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",LZZg6vhQEeWfYgqbi1xsdw,v2.ondemand,"Welcome to ""Chinese Characters for beginner""!
This is an elementary course on learning Chinese characters. Together, we will start from the basic element of Chinese characters-- Strokes. Then we will learn 1,200 basic Chinese words composed of 240 commonly used Chinese characters, which begin with  “一”(one), including pronunciation, shape and meaning, so that to improve the learning effect. 

①  Each Chinese character is with pinyin;

②  Each Chinese character is shown in the form of animation in the process of writing, namely strokes;

③  English translation is used on the Chinese character can be a word itself. Other Chinese characters can not be independent of words are the characters of. The English translation of this kind of characters is marked in parentheses;

④  Each Chinese word is accompanied by Pinyin, English translation and picture, which is easy to understand;

⑤  There are proper exercises at the end of each lesson.

Good luck !","[{""domainId"": ""language-learning"", ""subdomainId"": ""other-languages""}]","[""14780670""]","[""Shi Zhengyu""]",BEGINNER,Chinese Characters for beginner 汉字,"[""163""]",http://coursera-university-assets.s3.amazonaws.com/10/b2d7fee99847be9149101ecc055e84/PKU.png,"[""Peking University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7a/726e00547311e5be2961689cf749f6/______1.jpg,"[""zh-CN""]",[],hanzi,[],5-7 hours/week,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",llW5zlnXEeaw3QoEHqdPHw,v2.ondemand,"对于我们中的许多人来说，虽然拍照、分享和浏览照片已经成了日常生活中的习惯，但我们与图像的频繁接触并未培养我们在视觉表达上的素养。

这个课程的目的在于通过介绍影响摄影作品的创意、手段与技术，讨论观看照片与真正理解照片之间距离的问题。

在这个课程里，你将近距离观看纽约现代艺术博物馆收藏的照片，聆听从不同角度对照片的解读，以及摄影在将近180年历史中被使用的方式：作为艺术表现的途径、作为科学和探索的工具、作为纪实文献的媒介、作为讲述故事和记录历史的手段，以及作为日益视觉化的文化中一种交流和批评的模式。

学习目标

训练技巧，以便更好地检视和理解照片与摄影图像之间的不同。

发现语境如何影响摄影图像的制作、传播和接收。

学习摄影中各种不同模式的艺术和技术试验和创新。

探讨摄影在日益视觉化的文化中所发挥的作用","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""17172319""]","[""Sarah Meister""]",,透过摄影看世界,"[""107""]",http://coursera-university-assets.s3.amazonaws.com/a3/3e6808bcb440e0b8b0c5322688fa3a/moma_logo.png,"[""The Museum of Modern Art""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5e/5766d0bf8511e5882003b60c7d6622/atget-cropped_course-still.jpg,"[""zh-CN""]",[],sheying,[],预估课时和工时： 学习为期六个星期，每星期需约1-2小时的时间。,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert"", ""Specialization""]",6eR54Y_nEeWF6gpQJiw6hQ,v2.ondemand,通过本门课程的学习，你的创新能力将会获得大幅提升。课程首先致力于观念的转变，其次我会讲到很多具体的创新思维和创新方法。创新并不仅仅是那些黑科技。解决生活或工作中碰到的每一个问题，都需要创新。每一个人的发展都会受到资源的制约，我希望这门课程里，你能找出制约自己发展的那些内部和外部条件，并创造性地解决，突破自己成长的天花板。,"[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""12114568""]","[""罗昭锋""]",,创新思维,"[""233""]",,"[""University of Science and Technology of China""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5d/3b0540b87d11e5b7f4377491ebab0b/____.jpg,"[""zh-CN""]","[""-Lh6BaZyEeWK-gr2JZre1Q""]",chuangxin-siwei,[],"4 周课程, 1-3 小时/周",8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",IEE-83HuEeWi0g6YoSAL-w,v2.ondemand,"社会调查与研究方法，
首先，是一套观察社会现象、测量社会现象的工具；
其次，是一套分析和运用社会现象数据的科学方法；
最高境界，则是一套针对社会、经济、教育、政治、法律、管理、公共卫生、新闻报道等人类的生产与生活现象，进行科学沟通的思维逻辑与表达方式。","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""research""}]","[""4517421""]","[""邱泽奇 （Qiu Zeqi）""]",,社会调查与研究方法 （上）Methodologies in Social Research (Part I),"[""163""]",http://coursera-university-assets.s3.amazonaws.com/10/b2d7fee99847be9149101ecc055e84/PKU.png,"[""Peking University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9c/0da1701ef411e490eb8f929657e503/Msocial.jpg,"[""zh-CN""]",[],shehu-yanjiu-fangfa,[],4-6 hours/week,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert"", ""Specialization""]",vb_4X_K_EeivbA7_WcxyMg,v2.ondemand,"By learning this course, you will get a comprehensive  grasp of stack, queue, binary tree, graph and BST structures and algorithms, as well as their applications. By the end of this course, you will be able to understand and implement stack, queue and binary tree, use binary trees to solve problems such Huffman encoding, understand and implement the graph structure as well as related algorithms such BFS, DFS and PFS, understand and implement  AVL tree.

通过学习本课程，你将全面了解栈、队列、二叉树、图和二叉搜索树结构、算法及其应用。 在本课程结束时，你将能够理解和实现栈、队列和二叉树，使用二叉树解决霍夫曼编码等问题，理解并实现图结构以及相关算法（例如BFS，DFS和PFS），理解并实现AVL树。","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""3566574""]","[""Junhui DENG""]",INTERMEDIATE,Data Structures and Algorithms (II),"[""528""]",,"[""Tsinghua University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b1/6ff8af47114c7485230fa1b0e0c790/coursera-logo-2.png,"[""zh-CN""]","[""awddH_K_EeiPygpmdsO-1A""]",data-structures-algorithms-2,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert"", ""Specialization""]",7pQIqpStEeWzARIeC3uC5w,v2.ondemand,"本课程为“初级课程”，为了适应初学者需求，章节安排分为三个板块。1-5章为初学者进行了知识普及和铺垫，6-7章为学员了解行业做进一步介绍，8-9章带领学员深入中国游戏行业了解产业发展和产品运营，层层进阶、循序渐进。而课程二《游戏策划与设计》整体知识难度将有升级，重视实操，请学员做好准备。
从游戏诞生之初至今已走过半个多世纪。但许多人任认为游戏产业并未成熟，然而其高速发展的势头引人注目。蕴含市场潜力的游戏产品推陈出新，品类丰富多样，终端靓丽时尚，游戏玩家人数激增，游戏产业逐渐成为欧、美、日、韩等国创意经济新的增长点。本课程包括游戏起源、游戏发展史、游戏分类、游戏的研发制作流程、世界游戏产业纵览和知识产权保护等章节，为培养成熟的游戏产业市场经理人打下良好基础。","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""15712211""]","[""胡东雁""]",BEGINNER,游戏产业概论,"[""188"", ""341""]",https://coursera-university-assets.s3.amazonaws.com/07/8e38d079cb11e3835115b95b976419/widelogo-new.png,"[""Fudan University"", ""上海戏剧学院""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9d/af8bf0ba6c11e5b7f4377491ebab0b/game1.jpg,"[""zh-CN""]","[""I76t7pStEeW29A559YWgsw""]",youxi-chanye-gailun,[],"9 周课程, 3-5 小时/周",8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",192QixZOEeWKlgqs7LdhRw,v2.ondemand,人最宝贵的是生命，而在生命历程中充满着安全威胁与挑战。本课程以“珍爱生命、关注安全”为主线，期望通过该课程教学，努力增强学生在体育运动及野外活动中的安全防范意识，提高自我保护能力，掌握生存、自救和互救的基本技能，学会常见运动创伤的处置方法以及危险环境中的避险、自救和互助技能，具备应对突发事件的基本能力。,"[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""11330774""]","[""姚武""]",,生命安全与救援Life Safety and Rescue,"[""150""]",http://coursera-university-assets.s3.amazonaws.com/82/b22d6ce1fd40c1bdcf56bcf16d9666/sjtu-1-.png,"[""Shanghai Jiao Tong University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5c/c0e840a9f711e4b8a7a92b8bc41727/____________.jpg,"[""zh-CN""]",[],sheng-ming-an-quan-ji-jiu,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",D-kRGMhiEeSHHCIAC12q0A,v2.ondemand,"心理学很神秘？你会发现，只要有人的地方，就有心理学！
心理学很深奥？你会发现，似乎每个人都是大众心理学家，谁都可以说点“心理学”。
的确，我们生活中处处都是心理学！但这门课程却要告诉你，我们常常挂在嘴边的“心理学”绝大部分是错的，剩下的一小部分也是不全面的。
在本课程中，我们会一起把看似复杂的心理学理论运用到简单的生活现象中，在理解和掌握心理规律和原理后，用独具的慧眼看到一个与原先完全不同的生活世界。","[{""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}]","[""9875694""]","[""陈 昌凯""]",,心理学与生活,"[""230""]",https://coursera-university-assets.s3.amazonaws.com/d8/487220957b11e48b2381ad70c3dadd/logo.png,"[""Nanjing University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a9/ee9d60c27f11e49ec973f48002675e/KLV_8871-__.jpg,"[""zh-CN""]",[],xin-li-xue-sheng-huo,[],视频和测验共10小时,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",jNal3BeREfGMqxJXqQYYkQ,v2.ondemand,"本课程的适用对象是想要借助于 Gemini CLI（一款专为终端打造并由 Gemini 提供支持的生成式 AI 智能体）来更智能地工作的应用开发者和 DevOps 工程师。

本课程探讨了 Gemini CLI 的安装和配置，并介绍了其应用场景和安全最佳实践。课程中还详细讲解了命令、工具、MCP 服务器和扩展程序。通过实践练习，您将安装和配置 Gemini CLI，并使用它来分析代码以及构建和修改应用。","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,利用 Gemini CLI 加快应用开发速度,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/32/f83b74c7bf46cea723d7a9383e892e/GFX_Coursera_Asset_Full_1200x1200.png,"[""zh-CN""]",[],accelerate-app-development-with-gemini-cli-zh,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",nMtotAMYEfCm2BKpUCEabw,v2.ondemand,"""这一简短的课程将介绍如何在 Google Cloud 上将应用与 Gemini 集成，可帮助您探索 Gemini API 及其生成式 AI 模型。此课程会教您如何通过代码访问 Gemini 模型。课程会安排您在应用中使用文本、图片和视频提示来测试这些模型的功能。","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,在 Google Cloud 上将应用与 Gemini 集成,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ea/5cec52aea84b9ebe351a90c4beed7c/0-Logo-Image_GC-Projects.png,"[""zh-CN""]",[],integrating-applications-with-gemini-pro-on-google-cloud-zhcn,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",AqtNLx6QEfC5wQ7Ux-t3bw,v2.ondemand,在本课程中，您将学习如何使用 Google 的可移植 UI 工具包 Flutter 来开发应用，并将开发的应用与 Google 的生成式 AI 模型家族 Gemini 相集成。您还将练习使用 Vertex AI Agent Builder，这是 Google 为构建和管理 AI 智能体及应用而提供的平台。,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,使用 Vertex AI 和 Flutter 构建生成式 AI 智能体,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/28/8532ee5648408ca13b2ef530f07e28/GFX_Coursera_Asset_Full_1200x1200.png,"[""zh-CN""]",[],build-generative-ai-agents-with-vertex-ai-and-flutter-zh,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",5CCP4gWAEeWXaSIACyAJQw,v2.ondemand,本课程是北京大学开设的一门在线大学化学基础课，主要面向具有大学水平的化学初学者。课程内容基本涵盖全部基础化学概念。,"[{""subdomainId"": ""chemistry"", ""domainId"": ""physical-science-and-engineering""}]","[""4515827""]","[""Prof. Jiang Bian""]",,大学化学,"[""163""]",http://coursera-university-assets.s3.amazonaws.com/10/b2d7fee99847be9149101ecc055e84/PKU.png,"[""Peking University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/97/855b3cd9be87925d4a7d9f9265c80f/hx01.jpg,"[""zh-CN""]",[],da-xue-hua-xue,[],1-5 hours/week,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",H7QOTaItEeWm9xJA1YXcWQ,v2.ondemand,"《真格北大创业课》是真格基金与北京大学国家发展研究院首次联合开发的中文“慕课”（MOOC, Massive Open Online Course，大型公开在线课程)。课程以创业为主题，共分为三个部分：创业前的准备工作，创业中的要点，以及融资、众筹的技巧等。此课程的目的是让所有有创业意愿的或者刚刚起步的创业者更好地了解现在中国创业行业的氛围，以及创业初期不得不知的干货。每节课都凝结了真格基金业内专家和北京大学资深教授的丰富知识，也包括多位成功创业者的实践经验。完成本课程之时，你将能够为自己绝妙的创意找到切实可行的商业模式，组建能力出色行动高效的团队，撰写专业具体可执行的策划书。在课程的最后，我们希望所有的学员可以完成一份完整的商业计划书，把自己的创业想法有效地表达出来。成功完成慕课的学生会得到由Coursera提供的真格基金与北京大学联合认证的付费认证书，并且其商业计划书会得到真格基金的认真考虑。

课程特点：
•	真格基金与北京大学国家发展研究院联合开发的首部中文“慕课”
•	徐小平、王强领衔，多位来自国内知名机构的专家和成功创业公司的创始人亲授
•	北京大学国家发展研究院BiMBA商学院张黎院长、杨壮院长对创业者倾力指导

•	专注于创业的在线课程
•	注重实践，最鲜活的案例教学
•	充分利用碎片化时间学习，每节课15分钟以内，每周仅需1-2个小时学习时间
•	无需相关教育或工作背景，对所有人开放
 
参与本课程，您将收获：
•	12位知名公益专家亲自设计的教学内容、资料
•	加入讨论区，与业内专家、资深教授和同行互动的机会
•	对中国创业大环境的进一步了解
•	为自己绝妙的创意找到切实可行的商业模式

•	组建能力出色行动高效的团队
•	撰写专业具体可执行的策划书
•	您在课程结束时提交的商业计划书将得到真格基金的认真考虑

除此之外，完成课程的同学可以获得由课程平台提供方Coursera颁发的付费认证证书（电子版）。获得认证证书要求同学们总体得分超过80%，并需向Coursera支付$29美金的费用。您可以先免费注册课程，开始学习课程后再选择支付证书费用。","[{""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""16718408"", ""16882127"", ""16718433"", ""16882131""]","[""徐小平"", ""杨壮"", ""王强"", ""张黎""]",,真格—北大在线创业课堂,"[""163"", ""340""]",http://coursera-university-assets.s3.amazonaws.com/10/b2d7fee99847be9149101ecc055e84/PKU.png,"[""Peking University"", ""真格基金""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f2/b05520a88411e584915d6f2c50249f/_1.jpg,"[""zh-CN""]",[],zhenge-beida-zaixian-chuangye,[],"3 周课程, 1-3 小时/周",8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",BvhI5eJkEeWr4g7T_DyXNw,v2.ondemand,"现代语言服务行业要求从业人员必须具有利用计算机及网络来使用各类技术辅助工具帮助其工作的能力，而不是仅仅学会几款狭义的计算机辅助翻译软件。

本课程主要讲授计算机辅助翻译技术的基础概念，学习多种计算机辅助翻译工具的使用方法，锻炼学生在技术环境下从事翻译工作等各类语言服务工作的能力，帮助学生理解信息化时代的语言服务工作。

课程完整涵盖现代语言服务的基本情况介绍、翻译技术基本概念、语言服务项目执行过程的信息环境与信息技术、如何利用电子辞典、网络资源及语料库工具辅助翻译工作、狭义和广义的计算机辅助翻译工具原理及实战演练、翻译内容质量评定、多人协同翻译项目、翻译管理等多方面的内容。作为翻译类专业学生的必修课程，本课程适合语言类专业学生学习。通过课程的学习，有助于学习者了解现代语言服务行业，增强各类计算机辅助翻译工具的使用技能，提高包括翻译工作在内的各类语言服务工作的效率。

该课程是“北大-德稻网络公开课程”中的一门，由北京大学与德稻教育联合提供。

本课程同时受到“语言能力协同创新计划”资助和支持。

Those who work in modern language service industry are required to be capable of using computers and Internet to aid their translation job by adapting a variety of efficient tools, rather than just using word processor tools and several basic computer-aided translation software.

This course teaches the basic concepts of computer-aided translation technology, helps students learn to use a variety of computer-aided translation tools, enhances their ability to engage in various kinds of language service in such a technical environment, and helps them understand what the modern language service industry looks like.

This course covers introduction to modern language services industry, basic principles and concepts of translation technology, information technology used in the process of language translation, how to use electronic dictionaries, Internet resources and corpus tools, practice of different computer-aided translation tools, translation quality assessment, basic concepts of machine translation, globalization, localization and so on. As a compulsory course for students majoring in Translation and Interpreting, this course is also suitable for students with or without language major background. By learning this course, students can better understand modern language service industry and their work efficiency will be improved for them to better deliver translation service.

The course is one of the PKU-DeTao MOOCs, which is a joint effort by Peking University and DeTao Masters Academy.","[{""domainId"": ""language-learning"", ""subdomainId"": ""learning-english""}]","[""347693"", ""8194538""]","[""Jingsong Shawn Yu 俞敬松"", ""Mr. Alex Han 韩林涛""]",INTERMEDIATE,计算机辅助翻译原理与实践 Principles and Practice of Computer-Aided Translation,"[""163""]",http://coursera-university-assets.s3.amazonaws.com/10/b2d7fee99847be9149101ecc055e84/PKU.png,"[""Peking University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/11/a58aa0127611e4a4ea75aae36522ff/cover.png,"[""zh-CN""]",[],fanyi-ruanjian,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",IPob__yUEea_xArNhnfrng,v2.ondemand,追溯日本文明发展的历史，阐明日本人独特的思考模式，解析日本独特的审美意识。本课程讲授公元前3世纪至清末的中日文化交流的历史。以文化艺术的交流为主线，以实地考察为背景展示了中日两国丰富灿烂的交流史实。通过中日双方在吸收对方文化过程中所表现出来的不同的受容方式剖析了中日文化之不同特性，可以帮助受课者准确地把握日本文化的内质，并启发其对自我民族历史文化之思考。生动的图片，倾心的讲授，可以让学习者在轻松愉快的氛围中完成六章的学习和有趣的试题，以期丰富学习者的人文积淀。,"[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""24703845""]","[""滕军""]",BEGINNER,中日文化交流史,"[""163""]",http://coursera-university-assets.s3.amazonaws.com/10/b2d7fee99847be9149101ecc055e84/PKU.png,"[""Peking University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/09/3073f0234711e7b98e695814f58d96/1200x1200___.png,"[""zh-CN""]",[],zhongri-jiaoliushi,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",awHMl_57EeSmPCIACyqGBw,v2.ondemand,"本课程是北京大学开设的一门在线跨学科选修课程，主要面向信息技术、社会学和经济学等专业的本科生。课程内容涉及用计算思维的方法讨论社会学和经济学的一些经典问题。学习运用计算思维分析社会学、经济学问题的方法，加深对某些生活现象的理解，体会计算与社会科学的互动。
Learn to analyze and reason about problems in social sciences with computational thinking, appreciate interactions between computing and social sciences, as well as gain deeper understanding of some common phenomena in life and society","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""2794735"", ""4517421""]","[""王卫红（Wang Weihong） "", ""邱泽奇 （Qiu Zeqi）""]",,人群与网络 ,"[""163""]",http://coursera-university-assets.s3.amazonaws.com/10/b2d7fee99847be9149101ecc055e84/PKU.png,"[""Peking University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a6/9a51c971a166fb038b6d8a5f227f83/-2013-09-01-05.47.51.png,"[""zh-CN""]",[],renqun-wangluo,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",WHpKheovEeWHHw4eQCNF6Q,v2.ondemand,"刑法是规定犯罪与刑罚的法律。刑法学是研究刑法的科学，主要研究犯罪的成立条件以及刑罚的种类与适用刑法的制度等问题。本课程的主要目的是简明完整地说明现代刑法学总论的基本概念、基本理论与基本方法，包括的主要内容有刑法与刑法学的基本概念，刑罚的正当性，罪刑法定原则，刑法解释，刑法的适用范围，犯罪与犯罪构成的概念，犯罪构成的主要内容，排除犯罪的根据，犯罪的未完成状态，共同犯罪，刑罚的概念与体系，量刑制度，数罪并罚，缓刑、减刑与假释。本课程通过理论说明与案例分析对有关问题进行讲解，鼓励同学们通过刑法发展来认识刑法的生命，通过刑法比较来认识刑法的国际标准，通过确立刑法理想来追求社会的公平正义。

本课程将系统完整地说明、分析现代刑法学总论中的基本概念、基本理论。同学们通过本课程的讲述、案例的讨论、理论的分析，可以对现代刑法学知识的基本使用方法有一个完整的理解，从而有助于理解与分析现代社会面临的刑法问题。","[{""subdomainId"": ""law"", ""domainId"": ""social-sciences""}]","[""6063593""]","[""Shizhou Wang, 王世洲""]",INTERMEDIATE,刑法学总论 Criminal Law,"[""163""]",http://coursera-university-assets.s3.amazonaws.com/10/b2d7fee99847be9149101ecc055e84/PKU.png,"[""Peking University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f6/396e80774311e3b37d515cde627d0c/xfx01.jpg,"[""zh-CN""]",[],xingfa-xue-zong-lun,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",ar3BAJ07EeW4xRJkiwxnYw,v2.ondemand,"本课程主要介绍高级语言程序中的数据类型及其运算、语句和过程调用等是如何在计算机系统中实现的。主要包含三个主题：（1）表示。不同数据类型（如带符号整数、无符号整数、浮点数、数组、结构等）数据在寄存器或存储器中的表示和存储；指令的格式、编码及其在存储器中的存储；存储地址（指针）的表示。（2）转换。高级语言程序中的过程（函数调用）、循环、选择等语句与机器级代码之间的对应关系。（3）链接。多个可重定位目标文件如何链接生成可执行目标文件并加载到系统中。
通过本课程的学习，使学习者能从程序员角度认识计算机系统，能够建立高级语言程序、ISA、OS、编译器、链接器等之间的相互关联，对指令在硬件上的执行过程和指令的底层硬件执行机制有一定的认识和理解，从而增强在程序调试、性能提升、程序移植和健壮性等方面的能力，并为后续的“计算机组成与设计”、“操作系统”、“编译原理”、“计算机体系结构”等课程打下坚实基础。
学完本课程后，学习者将对以下问题有比较深刻的认识，并能解决相关实际问题。
----程序中处理的数据在机器中如何表示和运算？
----程序中各类控制语句对应的机器级代码结构是怎样的？ 
----多个程序模块是如何链接起来形成可执行目标文件的？
----机器级代码及构成机器级代码的指令是如何在机器上执行的？","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""7083440""]","[""袁春风""]",,计算机系统基础（一） ：程序的表示、转换与链接,"[""230""]",https://coursera-university-assets.s3.amazonaws.com/d8/487220957b11e48b2381ad70c3dadd/logo.png,"[""Nanjing University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a3/f0ae905f4111e49c1b0dbac3d5373e/logo013.jpg,"[""zh-CN""]",[],jisuanji-xitong,[],3-5 hours/week,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert"", ""Specialization""]",iJakw7rhEeWfYA612mWHZw,v2.capstone,"毕业设计项目将综合5门课程所学知识，设计完成一个基于.Net平台的小型软件项目，以验证你是否具备了.Net应用程序开发的基本能力。

项目具体要求如下：
1. 该系统应该包括客户端和管理端；
2. 客户端包括以下功能：
①用户登录；
②用户注册；
③菜品订购；
④购物车功能；
⑤订单增、删、改、查功能；
3. 管理端包括以下功能：
①用户管理；
②订单管理（增、删、改、查）；
③菜品管理（增、删、改、查）；
④统计管理（日销量、月销量、用户订餐细节）。

如果你能够在.Net环境下利用C#语言独立完成毕设项目，说明你已经达到面向.Net框架的初级程序员水平。","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""9299119"", ""16120730""]","[""吴 宁"", ""谢涛""]",,.Net平台下的软件开发技术毕业项目,"[""234""]",https://coursera-university-assets.s3.amazonaws.com/65/c9e190748111e4902c014a139174d8/logo-3.png,"[""Xi'an Jiaotong University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a2/1cee80be5911e58596a3d490dd4464/___02.jpg,"[""zh-CN""]","[""H9UqXY2iEeW9cwoh-KZVLw""]",net-ruanjian-kaifa-biye,[],8周学习时间，每周1-3小时,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",Ubg5m6GeEeSoeSIAC0cUQw,v2.ondemand,"* ""系统平台与计算环境""仅是""大学计算机""系列课程的第一部分，我们将在不久的未来推出“算法与C语言编程基础”，""大学计算机""系列课程的第二部分，敬请关注！*

计算机科学是研究抽象和自动计算的学科，涉及的理论知识众多。作为计算机科学的入门，“大学计算机”系列课程将从基础知识入手，循序渐进，帮助你在了解计算机系统整体结构和基本原理的基础上，具备“选择和利用各种已有工具软件解决问题的能力”和“编写程序解决一般专业问题的能力”。

本系列课程由“系统平台与计算环境（第一部分）”和“算法与C语言编程基础（第二部分）”两门课程构成。每门课程独立开设，既自成一体，又相互衔接，构成体系。本课程，即第一部分的内容，将涉及计算模型与信息表示、软硬件系统组成及工作原理、网络技术及应用、OFFICE基本操作等多个知识模块。本课程的学习目标是了解计算机软硬件系统组成、信息表示方法、网络技术等计算机学科的基础知识和基本操作技能；在未来我们将提供系列课程第二部分的学习目标，即学会编写简单的C语言控制台程序以及排序、查找等基本算法。

本课程是学习计算机的入门课程，无需信息技术方面的基础，但需要你会一些计算机的基本操作，比如：文字录入、通过网络获取信息（网络信息检索）等。","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""9299119"", ""11063936"", ""11065014""]","[""吴 宁"", ""陈 文革"", ""杨 忠孝""]",,系统平台与计算环境,"[""234""]",https://coursera-university-assets.s3.amazonaws.com/65/c9e190748111e4902c014a139174d8/logo-3.png,"[""Xi'an Jiaotong University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7d/85f120a29e11e4b8e19516cb15d088/banner3.jpg,"[""zh-CN""]",[],jisuanji-wangluo,[],视频和测试共11小时,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",zXPcn_tcEe-m2BKpUCEabw,v2.ondemand,了解 BigQuery 机器学习推理功能，以及数据分析师为何应使用该功能，它有哪些应用场景，有哪些受支持的机器学习模型。您还将了解如何在 BigQuery 中创建和管理这些机器学习模型。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,使用 BigQuery 机器学习推理功能,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fe/e8b41645be4338bf9a7edbe63737c8/Logo-Image_GC-Projects-1-.png,"[""zh-CN""]",[],using-bigquery-machine-learning-for-inference-zhcn,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert"", ""Specialization""]",aTQbRc2wEeeswA48WEOmOA,v2.ondemand,"大家好！Hi, everyone, welcome to join our Chinese for HSK Level 4 course. This is CHEN Li and LU Yun, and we are very happy to meet you here!  
Chinese for HSK 4 is a 10-week course. It consists of two parts: Part I, which is a 6-week program, covers vocabulary and grammar delivered mainly through dialogues and passages; Part II takes 4 weeks to complete and the foci are exercises and testing strategies.
Chinese for HSK 4 aims at the fourth level of HSK. It is the counterpart of Level 4 of the Chinese Language Proficiency Scales for Speakers of Other Languages and the B2 Level of the Common European Framework of Reference for Languages.
Chinese for HSK 4 includes:

	424 new HSK 4 vocabularies; 
	Detailed explanation  about 96 key words and grammar points; 
     Analyze reading and listening materials from Official Examination Paper of HSK Level 4
     Review the words you have learnt in HSK 1 、HSK 2、HSK 3 courses.
	New words and texts via audio; 
	Quizzes  for each lesson and HSK test papers;

At the end of the course, you will be able to converse in Chinese on a wide range of topics and are able to communicate fluently with native Chinese speakers.
Specifically, you will master certain grammar knowledge containing fundamental sentence structure and usage like sentences with “不仅A而且/还B”(not merely A, but also B);“无论(A还是B)，都.....”(whether A or B);“既然…..就…..” (since); “在…….下"" (on the condition of );“即使……也”(even though/if );“甚至"" (even to the extent that) ;“千万要/不要/别”(make sure to ) and so on.
It does not matter if you complete HSK Level 3 or not, as long as you have obtained elementary Chinese language competency. Hope you enjoy our HSK courses.
CHEN Li, LU Yun and Chinese for HSK Level 4 team.","[{""domainId"": ""language-learning"", ""subdomainId"": ""other-languages""}]","[""12554398"", ""21138444""]","[""LU Yun"", ""CHEN LI""]",INTERMEDIATE,Chinese for HSK 4,"[""163""]",http://coursera-university-assets.s3.amazonaws.com/10/b2d7fee99847be9149101ecc055e84/PKU.png,"[""Peking University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7f/890650d2cb11e7b3daa379274a20ce/chinese-for-HSK4.png,"[""zh-CN""]",[],hsk-4,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",7VfPWxbTEe-VgQr_7jen-Q,v2.ondemand,Google Workspace 专用 Gemini 是一个插件，可在 Google Workspace 中为客户提供生成式 AI 功能。在本迷你课程中，您将了解 Gemini 的主要功能，以及如何在 Gmail 中使用这些功能来提高工作效率。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Gemini in Gmail - 简体中文,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4c/486e1dcff7458f980b14a231bcd0e3/GFX_Coursera_Asset_Full_1200x1200.png,"[""zh-CN""]",[],gemini-in-gmail-zhcn,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",DaNVXEtGEeWpQA4vMed_oQ,v2.ondemand,"全球卫生导论回顾了全球范围内公共卫生发展的各个历史时期令人关注及其影响重大的事件，介绍公共卫生、国际卫生和全球卫生等相关概念和背景，阐述全球疾病负担、健康决定因素、主要健康问题及其应对策略，剖析目前全球关注的影响健康的主要卫生问题，从群体的层面的因素分析到个体层面的行为指导，分析社会发展、卫生系统、公共政策和全球合作对人群健康状况的决定作用。
全球卫生以提高全球范围内的健康水平、实现全球健康公平为宗旨，重点关注超越国界的健康问题、健康决定因素和解决方案，涉及医学领域内外的多学科，提倡不同学科间的通力合作和人群预防与临床治疗的综合，同等对待不同地域、不同经济水平、不同的种族的所有人群。作为一门普适型的全球卫生导论课，旨在使不同学科和专业领域的学习者能了解全球卫生的历史和相关概念，熟悉全球疾病负担、健康决定因素、主要健康问题和全球应对策略。
课程内容包括全球卫生概述、卫生系统与筹资、全球疾病负担、环境与健康、营养/生活方式与健康、妇幼保健与生殖健康、耐药结核病流行与控制、艾滋病的流行与控制、老龄化与慢性病防治、突发公共卫生事件应对等。
授课团队由复旦大学公共卫生学院各二级学科的带头人和资深教授组成。本课程期望能引起不同学科的学生对全球健康问题的关注，激发其致力于探究健康相关问题的兴趣，引导其分析健康问题的社会决定因素，赋予其用合力解决全球健康问题的理念。","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""14827939"", ""14828329"", ""14828722"", ""14828252"", ""14828677"", ""14828350"", ""14828695"", ""14828212"", ""14828129"", ""14828298"", ""13165282""]","[""陈文"", ""姜庆五"", ""陈英耀"", ""何更生"", ""钱序"", ""阚海东"", ""徐飚"", ""何纳"", ""傅华"", ""赵根明"", ""丁永明""]",BEGINNER,全球卫生导论,"[""188""]",https://coursera-university-assets.s3.amazonaws.com/07/8e38d079cb11e3835115b95b976419/widelogo-new.png,"[""Fudan University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c2/b4ade0151b11e6b00bbd15c77cf496/_______v2.jpg,"[""zh-CN""]",[],quanqiu-weisheng,[],"10weeks of study, 2-4hours/week",8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",uInD6krdEfGZlg6D7sEHQw,v2.ondemand,本课程全面指导如何在 Google Cloud 上部署、管理和优化 AI 和高性能计算 (HPC) 工作负载。通过一系列课程和实际演示，您将探索从基于 Google Compute Engine (GCE) 的高度可定制环境，到 Google Kubernetes Engine (GKE) 等托管式解决方案的各种部署策略。具体来说，您将学习如何创建集群并部署 GKE 进行推理。,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,AI 基础设施：部署类型,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cc/a310cf611146998c4e30f1db86fe59/GFX_Coursera_Asset_Full_1200x1200.png,"[""zh-CN""]",[],ai-infrastructure-deployment-types-zhcn,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",TW2lsj0aEe-aXAr_2gDaxw,v2.ondemand,本课程介绍了 AI 可解释性和透明度的相关概念，探讨了 AI 透明度对于开发者和工程师的重要性。同时探索了有助于在数据和 AI 模型中实现可解释性和透明度的实用方法及工具。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Responsible AI for Developers: Interpretability & Transparency - 简体中文,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/23/29deb1193f43cb832b0c003d59e3b1/Logo-Image_GC-Projects-1-.png,"[""zh-CN""]",[],ai-for-developers-interpretability--transparency-zhcn,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",lAGmYTKVEeWgIQ7IEhB31Q,v2.ondemand,"超级细菌肆虐、感染无药可医，人类正面临前所未有的困境。
面对这危及每个人的严酷现实，是坐以待毙还是奋力反击？相信你心中已有答案。
本课程将以独特、新颖的视角，为你展现抗菌药和超级细菌间博弈的历程；以深入浅出、生动形象的课件，教你抗菌药与超级细菌的知识；以浅显易懂、亦庄亦谐的教学情景剧，让你辩证地看待菌药的关系。
战争已经打响，智慧勇敢的你，快来加入我们的行列，从自身做起阻止超级细菌的产生与蔓延。","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}]","[""14178040""]","[""汤文璐""]",,抗菌药与超级细菌 －－天使与魔鬼的博弈,"[""188""]",https://coursera-university-assets.s3.amazonaws.com/07/8e38d079cb11e3835115b95b976419/widelogo-new.png,"[""Fudan University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0d/fa02e06ce411e5939b0b9714d6f35e/__logo.png,"[""zh-CN""]",[],kangjunyao-chaojixijun,[],"7 周, 4-5 小时/周",8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],[],afDgOoSTEeSA1yIAC1EHSw,v2.ondemand,"与之前的“竞争策略”(https://www.coursera.org/learn/competitivestrategyzh)相比，“高阶竞争策略”课程将在讲解新课题和新模块的同时，结合更多实际案例并提供更多与学生互动交流的机会。

在“高阶竞争策略”课程中，我们将研究企业如何通过增加转换成本和推进战略客户锁定来建立和维护客户群。探索企业如何通过寻求适当的价格歧视和产品差异化策略来提高收益。

我们将举例介绍在欧盟竞争政策和美国反垄断政策前提下可接受的行为，并且找到企业通过战略性利用网络效应和规模经济来增加回报的方法。我们会进一步强化新学的有关网络效应的知识，并讨论专门为网络市场定制的策略。

我们还会分析兼并和收购的运作方式，此外，帮助您思考有助于公司有机增长的其他策略。

This is a Chinese version of Advanced Competitive Strategy. You can find the original course in English from our course catalog.
【 此版本是Coursera首次尝试推出的中文翻译版。课程视频为英文原版附中文字幕，课程页面和测验已译成中文，帮助中心提供中文支持。此版本仍在测试中，欢迎批评指正。】","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""2573718""]","[""Tobias Kretschmer""]",,高阶竞争策略（中文版）,"[""64""]",http://coursera-university-assets.s3.amazonaws.com/4e/79752e34f44951a1fd4620cfb06f2b/LMU_Logo_RGB_200.png,"[""Ludwig-Maximilians-Universität München (LMU)""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b8/407f10803711e6a46893aeafe0f081/compStrat_Icon_1200_blue.jpg,"[""zh-CN""]",[],advanced-competitive-strategy-zh,[],视频和测验共7.5小时,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",ghI1ERBzEfCk7gr_3iO-uQ,v2.ondemand,人工智能 (AI) 具备巨大的变革潜力，但也带来了新的安全挑战。本课程专为负责安全性和数据保护的领导者而设计，助其运用相关策略在组织内安全管理 AI。学习一个有助于实现以下目标的框架：主动识别并减轻 AI 特有的风险，保护敏感数据，确保遵从法规，构建弹性 AI 基础设施。通过四个不同行业的精选用例，探索这些策略如何应用于现实场景。,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,AI 时代安全性简介,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1f/d27e6afbb04f48b1d2a73c2d10065d/GFX_Coursera_Asset_Full_1200x1200.png,"[""zh-CN""]",[],introduction-to-security-in-the-world-of-ai-znch,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",e1PCw3xUEfGNJQr_xEaJiw,v2.ondemand,"各种规模的组织都在利用云的强大功能和灵活性来改变运营方式。然而，有效管理和扩缩云资源可能是一项复杂的任务。本课程探讨了云中现代运营、可靠性和弹性方面的基本概念，以及 Google Cloud 如何帮助支持这些工作。

作为 Cloud Digital Leader 学习路线的一部分，本课程旨在帮助个人在自己的岗位上成长，并为企业谋求未来发展。","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,使用 Google Cloud Operations 进行扩缩,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0a/0d01d94efd404fae675207138bd38c/GFX_Coursera_Asset_Full_1200x1200.png,"[""zh-CN""]",[],scaling-with-google-cloud-operations-zhcn,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",hA1Im-ckEeWxKxKZYzDvkw,v2.ondemand,"《操作系统原理》是针对计算机科学技术专业三年级本科生开设的一门专业基础课程。本课程着重学生系统观的培养，通过重点讲述操作系统的内部结构、工作原理及典型技术的实现，使学生建立起对操作系统的整体及各个功能模块的认识，从而系统掌握计算机的专业知识，进一步提升学生的软件开发能力乃至系统软件开发能力。

任何计算机都必须在加载相应的操作系统之后，才能构成一个可以运转的、完整的计算机系统。操作系统的功能是否强大，决定了计算机系统的综合能力；操作系统的性能高低，决定了整个计算机系统的性能；操作系统本身的安全可靠程度，决定了整个计算机系统的安全性和可靠性。操作系统是软件技术的核心和基础运行平台。因此，计算机科学技术专业的学生需要学习和掌握操作系统的基本原理和专业知识。

本课程的教学目标是：

1．掌握操作系统的基本概念、功能组成、系统结构及运行环境；

2．熟悉并运用操作系统工作原理、设计方法和实现技术，理解有代表性、典型的操作系统实例（如UNIX、Linux和Windows）；

3．了解操作系统的演化过程、发展研究动向、新技术以及新思想，为后续相关课程的学习打下良好基础，为后续职业发展奠定基石。","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""11205852""]","[""Professor Chen Xiangqun""]",INTERMEDIATE,操作系统原理（Operating Systems）,"[""163""]",http://coursera-university-assets.s3.amazonaws.com/10/b2d7fee99847be9149101ecc055e84/PKU.png,"[""Peking University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/db/e9f120a92a11e4ab7407303d1d8a85/600x340_____A-__.jpg,"[""zh-CN""]",[],os-pku,[],2-4  hours/week,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",OI1Gp49aEeaPOA7y0lv8VQ,v2.ondemand,"心理咨询似乎很神秘，我们常常想靠近它，但又害怕靠近它！
所以，才有了“手把手教你心理咨询”这门系列课程。我并不是要教你成为一名心理咨询师，而是要帮助你了解心理咨询、懂得心理咨询。并且手把手地教会你，将心理咨询的理念和技巧，合理、恰当地运用到你的实际生活中去，让你的生活变得更加和谐、更加精彩！
“谈话的艺术”是“手把手教你心理咨询”系列课程中的第一门课，在这门课当中的所有情景展示，都是基于我们日常生活中的谈话，而并非是真正的心理咨询。因为我想告诉你，心理咨询并不是什么神秘、高深的技术。只要愿意学习，你也可以掌握其中的基本方法；只要运用得当，你会让你自己和你身边的人从中受益！","[{""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""9875694""]","[""陈 昌凯""]",BEGINNER,手把手教你心理咨询：谈话的艺术,"[""230""]",https://coursera-university-assets.s3.amazonaws.com/d8/487220957b11e48b2381ad70c3dadd/logo.png,"[""Nanjing University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/75/a425c0a65d11e6a362fdaec2edbc59/001.jpg,"[""zh-CN""]",[],tanhua-yishu,[],5周学习，2-3小时/周,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert"", ""Specialization""]",8_PaE_K_EeiLSg5ne7arXg,v2.ondemand,"By learning this course, you will get a comprehensive grasp of Priority Queues and string match techniques, as well as their applications. By the end of this course, you will be able to understand/implement Bucketsort, Counting-sort, and Radixsort, understand the principle/implementation/application of different Priority Queues such as complete binary heap and leftist heap, understand and implement Heapsort, understand and implement typical string matching algorithms such as KMP, BM, and Karp-Rabin, implement and analyze advanced selection/sorting algorithms such as Quicksort, QuickSelect, LinearSelect, and Shellsort.

通过学习本课程，你将全面了解优先级队列和字符串匹配技术及其应用。 在本课程结束时，你将能够了解/实现桶排序，计数排序和基数排序，了解不同优先级队列的原理/实现/应用，例如完全二叉堆和左倾堆，了解并实现堆排序，了解并实现典型的字符串匹配算法（例如KMP，BM和Karp-Rabin），实现并分析高级选择/排序算法，例如快速排序、快速选择、线性选择和希尔排序。","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""3566574""]","[""Junhui DENG""]",INTERMEDIATE,Data Structures and Algorithms (IV),"[""528""]",,"[""Tsinghua University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/de/f68a4bca2540eeac4962f72a1fdb05/coursera-logo-4.png,"[""zh-CN""]","[""awddH_K_EeiPygpmdsO-1A""]",data-structures-algorithms-4,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",9slrWC4ZEe-zGA7OD9qf1Q,v2.ondemand,"在本课程中，您将了解 Google Cloud 中依托生成式 AI 技术的协作工具 Gemini 如何帮助开发者构建应用。您将学习如何向 Gemini 输入提示，让其为您解释代码、推荐 Google Cloud 服务并为您的应用生成代码。您将通过实操实验体验 Gemini 对应用开发工作流的改进作用。

Duet AI 已更名为 Gemini，这是我们的新一代模型。","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Gemini for Application Developers - 简体中文,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a5/7aad71dd31471a8eec96d123cf59cc/Logo-Image_GC-Projects-1-.png,"[""zh-CN""]",[],gemini-for-application-developers-zhcn,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert"", ""Specialization""]",x_L28bUJEeWbLRJn4j8c4Q,v2.ondemand,电影编剧不同于文学创作，它意味着要以影像化、动作化的方式赋予故事生命，在这个意义上，编剧不仅是导演，而且还是那个灵动的新世界的创造者。这个世界中的每一个人物命运，每一个起承转合，都表达着创作者对于人性的判断和立场。本课程将通过丰富的案例和针对性的练习，阐述电影编剧的基本步骤、基础知识和内在规律。,"[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""8054217"", ""16222379"", ""16199947""]","[""许 肖潇"", ""梁永安"", ""龚金平""]",,编剧：像导演一样编剧,"[""188""]",https://coursera-university-assets.s3.amazonaws.com/07/8e38d079cb11e3835115b95b976419/widelogo-new.png,"[""Fudan University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/74/484920bd1711e59b19b7c7ac4e469b/_______.jpg,"[""zh-CN""]","[""DvH1jLUFEeWUxw603r-OPQ""]",bian-ju,[],"4 周课程, 2-4 小时/周",8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",0qiIqiLuEea8agoSdQeRvQ,v2.ondemand,"《生物学概念与途径》课程由饶毅2008年在北京大学设立和主持，面向所有大学生和研究生，目的是让年轻的学生了解生物学历史上，一些重要的概念是如何提出的，一些重要的途径和方法是如何用来解决重要且有深刻意义的生物学问题的。
        大部分内容由饶毅讲授，带着大家一起解读1866年孟德尔的遗传学论文，解读1910年摩尔根的果蝇论文，解读1944年Avery、McLeod、McCarty如何提出DNA是遗传物质的论文。这些经典性的工作，让我们从思想上理解科学研究是怎么做的。
        北京大学物理系的汤超教授、哈佛大学的谢晓亮教授、北京生命科学研究所的王晓东教授、北京大学化学院何川教授、清华大学的施一公教授、北京大学的植物生物学的邓兴旺教授和顾红雅教授，分别从物理的定量、化学与生物的交叉、生物化学的经典实验、化学角度的生物大分子、结构生物学、现代农业生物技术与种业发展、驱动演化的“力”等多学科，多角度讲授重要的概念和途径。
        本课程重思想，重交叉，重培养学生的科学能力；培养科学研究的价值观（比如判断什么是好的科学），力求为未来科学探索树立参照系；老师提供一个起点，能看的多深，发展多远，取决于同学们的天赋和努力。
        希望大家通过我们的慕课有所收获。","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}]","[""29501246""]","[""饶毅""]",INTERMEDIATE,生物学概念与途径,"[""163""]",http://coursera-university-assets.s3.amazonaws.com/10/b2d7fee99847be9149101ecc055e84/PKU.png,"[""Peking University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/31/1eaa702d6c11e6866085dbaf1cecb0/logo1.jpg,"[""zh-CN""]",[],biologyconcept,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",hHaN9c0EEe-Zdw7YKlLSWQ,v2.ondemand,"""本课程能让机器学习从业者掌握评估生成式和预测式 AI 模型的基本工具、方法和最佳实践。要确保机器学习系统在实际运用中提供可靠、准确、高效的结果，做好模型评估至关重要。
学员将深入了解各项评估指标、方法及如何在不同模型类型和任务中适当应用这些指标和方法。课程将着重介绍生成式 AI 模型带来的独特挑战，并提供有效解决这些挑战的策略。通过利用 Google Cloud 的 Vertex AI Platform，学员可学习如何在模型选择、优化和持续监控工作中实施卓有成效的评估流程。""","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bc/3f2c3fa0d6437ebf4f36af349341ad/GFX_Coursera_Asset_Full_1200x1200.png,"[""zh-CN""]",[],mlops-with-vertex-ai-model-evaluation,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",MhJ8a3L_Eem98Ar36Sm7-A,v2.ondemand,"The development of online education has brought opportunities and challenges for traditional teaching and learning. Nowadays it’s very important to learn about online education, which can help us study better and more easily.
This course focuses on 5 themes: 
1.interpreting online education
2.discussing why online education is needed
3.explaining the current status of online education in colleges and universities
4.predicting the future of online education, 
5.sharing online education practices and experiences from a large number of excellent teachers
Follow us on Facebook Page and Twitter (@TsinghuaX).","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""42052464""]","[""Shijie Yu""]",BEGINNER,MOOC and Blended Learning,"[""528""]",,"[""Tsinghua University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1c/4473a78a68406985cfe7710aa729b1/_____20190528162306.png,"[""zh-CN""]",[],mooc-blended-learning,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",KG3G_kb5EfGBQw6YyJDFIw,v2.ondemand,本课程旨在帮助学员掌握在 Google Workspace 环境中管理数据的技能。学员将探索如何在 Gmail 和云端硬盘中利用数据泄露防护规则来防止数据泄露。然后学习如何使用 Google 保险柜来保留、保存和检索数据。接着，学员将学习如何配置数据区域和导出设置，以遵循监管法规。最后，学员将了解如何使用标签对数据进行分类，以强化组织管理并提升安全性。,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Google Workspace 数据治理,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b7/e5a3b1a9934ec7807723ff234fff33/Logo-Image_GC-Projects.png,"[""zh-CN""]",[],google-workspace-data-governance-zhcn,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",bu6L2ys6EfCFOw5SEzGjMQ,v2.ondemand,Agentspace 结合了 Google 在搜索和 AI 领域的专长。它是一款企业工具，让员工只需通过一个搜索栏，就能从文档库、电子邮件、聊天消息、工单系统及其他数据源中查找具体信息。Agentspace 助理还能帮助进行头脑风暴、开展研究、生成文档大纲并执行其他操作，比如邀请同事参加某日历活动。因此它能加快知识型工作的进度并提升协作效率。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,借助 Gemini Enterprise 加速知识交流,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b3/31a99d5b5d4ff49b53f7f364ae624e/0-Logo-Image_GC-Projects.png,"[""zh-CN""]",[],accelerate-knowledge-exchange-with-agentspace-zhcn,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",O-1kYTDqEfG5dBKQarOogQ,v2.ondemand,本课程全面概述了 Google Cloud 的智能体平台，包括 Vertex AI Agent Builder、Gemini Enterprise、Conversational Agents 和智能体开发套件。学员将了解每项产品的独特功能，区分具体应用场景的最佳解决方案，并获得有关创建搜索和聊天应用的基础知识。,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,了解 Google Cloud 智能体,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e9/4864dd86dc41ca845ec4231bbe3c4b/GFX_Coursera_Asset_Full_1200x1200.png,"[""zh-CN""]",[],understand-google-cloud-agents-zhcn,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",_XDkSxqUEe6n7gpaVjGbbw,v2.ondemand,这是一节入门级微学习课程，探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能，还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Introduction to Large Language Models - 简体中文,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2b/685f8c3f1744899fd05321a957dcc4/Logo-Image_GC-Projects-1-.png,"[""zh-CN""]",[],introduction-to-large-language-models-zhcn,[],,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",GDp6gzrnEeWCYBKNeFwojw,v2.ondemand,从认识和理解软件Bug开始，介绍软件测试的基本理论，阐述软件测试设计的多样性原理。基于多样性原理，介绍白盒测试方法和黑盒测试，具体包括随机测试、等价类测试、控制流测试、数据流测试等；邀请业界专家讲解功能测试、性能测试、移动应用测试技术。,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""9841791""]","[""Zhenyu Chen""]",,软件测试 (Software Testing),"[""230""]",https://coursera-university-assets.s3.amazonaws.com/d8/487220957b11e48b2381ad70c3dadd/logo.png,"[""Nanjing University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/82/f1c720ac4d11e48e24415578607b06/____logo.jpg,"[""zh-CN""]",[],ruanjian-ceshi,[],2-4 hours/week,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert""]",EHawsCpVEee6gA5XksfBbg,v2.ondemand,"《中级汉语(商务篇)》慕课是为汉语水平达到HSK三级的外国留学生制作的汉语学习慕课。它以汉语语言知识和交际技能为主要教学内容，培养留学生在一般工作情景和真实商务情境中运用汉语进行交际的能力，将生活汉语与商务汉语有机融合，情境设计贴近飞速发展的科技和商务生活，能同时满足留学生日常生活、学习和工作的需求。语法内容涵盖了HSK 三、四、五级考纲中的所有语法重点及要点；语料新鲜而实用，以HSK三、四、五级词汇为主。学习结束后汉语能达到HSK四、五级的水平，并兼具生活和基本商务交际语言技能。

The MOOC of Intermediate Business Chinese is designed for the Chinese language learners who have reached HSK level 3. The MOOC presents lively, authentic, and up-to-date dialogues for daily conversations and business communications. The contents integrate trendy technologies with real-life situations that can be applied to everyday lives, language classrooms, and working places.  The course also covers all the key grammar points and patterns in HSK level 3-5. Students are expected to reach HSK level 4-5 when they complete the course and be able to effectively communicate in daily lives and professional settings from intermediate-mid to advanced-low levels.","[{""domainId"": ""language-learning"", ""subdomainId"": ""other-languages""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""25792982""]","[""Gu Ying""]",INTERMEDIATE,Business Chinese 1 中级汉语 （上）,"[""150""]",http://coursera-university-assets.s3.amazonaws.com/82/b22d6ce1fd40c1bdcf56bcf16d9666/sjtu-1-.png,"[""Shanghai Jiao Tong University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e7/59c873076545b3b5b6bdc4380b75c8/Screen-Shot-2019-09-15-at-9.54.32-PM.png,"[""zh-CN""]",[],intermediate-business-chinese-1,[],5-6周的学习，5-8小时/周,8vM4ibjyqBSRNzjDo,IKfb1ia9kIgavhTxi
[],"[""VerifiedCert"", ""Specialization""]",rAdvCUU6Eeu5YxIbcwLDzw,v2.ondemand,"I contenuti di questo corso sono pensati per permettere agli utilizzatori di Tableau di migliorare le proprie capacità sull’uso del tool, a un livello intermedio.

Spesso i dati provengono da fonti diverse; dobbiamo quindi essere in grado di stabilire tra questi delle relazioni che ci permettano di includere in un’analisi tutte le informazioni di cui abbiamo bisogno. Vedremo quindi come costruire queste relazioni su Tableau, ricorrendo a Join, Union e Data Blending.

Lavoreremo con i campi calcolati e i parametri. I primi sono nuovi campi (dimensioni e misure) che, a partire dalla logica utilizzata, aggiungono nuovi dati al data base di partenza. I secondi, invece, sono valori dinamici che possono essere impiegati in tantissimi modi per personalizzare i propri calcoli e la loro visualizzazione all’interno dello spazio di lavoro.

Vedremo come Tableau esegue le operazioni di calcolo secondo un ordine preciso, che influisce sui risultati dei calcoli che facciamo. Andremo infine a lavorare con i dati geografici. Nel processo analitico, sono diverse le domande che possiamo porci. Padroneggiando le conoscenze sulla manipolazione dei dati geografici possiamo rispondere al “dove”, un aspetto fondamentale da considerare nel processo analitico.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""82013523""]","[""Manuel Belgioioso""]",INTERMEDIATE,Data Visualization e manipolazione dei dati con Tableau,"[""619""]",http://coursera-university-assets.s3.amazonaws.com/75/8814b2dff94724a44b3a28257ff33a/wide-logo-for-marketing.png,"[""Università di Napoli Federico II""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/72/1123f2094649ec9466a02ca554ad41/cover-Data-visualization-2-intermediate_1200x1200.jpg,"[""it""]","[""K4jWk4KYEeusLw6jAKT62Q""]",data-visualization-manipolazione-tableau,[],"4 settimane, 5-8 ore/settimana",00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",GA_Sr3PzEeyrDAqvINCGXQ,v2.ondemand,"""In questo corso, """"Architecting with Google Kubernetes Engine: Foundations"""", troverai un ripasso del layout e dei principi di Google Cloud, seguito da un'introduzione alla creazione e alla gestione dei container software, nonché all'architettura di Kubernetes.
 
 Si tratta del primo corso della serie Architecting with Google Kubernetes Engine. Dopo il completamento di questo corso, iscriviti al corso Architecting with Google Kubernetes Engine: Workloads.""","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Architecting Google Kubernetes Engine: Foundations in italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8b/0b59e567f6458f9ee45244bda95782/Container-Engine.png,"[""it""]",[],foundations-google-kubernetes-engine-gke-it,[],"3 weeks of study, 6-8 hours/week",00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert"", ""Specialization""]",Y6fn3kU6EeuZGAr_TcQGiQ,v2.ondemand,"L’obiettivo del corso è formare professionisti della Business Intelligence attraverso l’apprendimento della piattaforma Tableau, strumento leader di questo settore. La mole di dati a disposizione è sempre più grande ed estrarre informazioni utili per sfruttare queste informazioni è compito degli analisti.
Un ruolo cruciale lo riveste la data visualization: il tassello del processo analitico che permette di capire come rappresentare al meglio i propri dati per elaborare strategie data-driven.
In questo corso verranno presentate tutte le funzionalità di Tableau Desktop, il tool dedicato alla costruzione delle analisi dei dati. 
Introduciamo i diversi prodotti della suite Tableau, l’interfaccia grafica e gli ambienti di lavoro, per passare, infine, alla presentazione delle unità minime del lavoro su Tableau: dimensioni, misure e tipi di dato. Vengono illustrati i contenuti relativi ai modi e ai tipi di connessione ai dati, e le strategie di selezione e organizzazione dei dati. Infine tutti gli elementi necessari per imparare a combinare insieme i dati e lavorare con set, date e misure multiple.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""82013523""]","[""Manuel Belgioioso""]",BEGINNER,Introduzione alla Data Visualization con Tableau,"[""619""]",http://coursera-university-assets.s3.amazonaws.com/75/8814b2dff94724a44b3a28257ff33a/wide-logo-for-marketing.png,"[""Università di Napoli Federico II""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e1/42c76e5aab433bbab2acb3ab8ca982/5d67ec9d-7c4c-4b34-bfa0-a3e3f19c5d07-44d94783c38a.small.jpeg,"[""it""]","[""K4jWk4KYEeusLw6jAKT62Q""]",introduzione-data-visualization-tableau,[],"4 settimane, 5-8 ore/settimana",00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",xEc00jRVEe-6tAr__zzCRw,v2.ondemand,Questo corso introduce i concetti di AI responsabile e i principi dell'AI. Tratta le tecniche per identificare sostanzialmente l'equità e i bias e mitigare i bias nelle pratiche di AI/ML. Illustra metodi e strumenti pratici per implementare le best practice dell'AI responsabile utilizzando gli strumenti open source e i prodotti Google Cloud.,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Responsible AI for Developers: Fairness & Bias - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/52/4670e58c334dc395246d3ac69fdef2/Logo-Image_GC-Projects-1-.png,"[""it""]",[],responsible-ai-for-developers-fairness--bias---italiano,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",8mfMN1mhEe-6gRJ5RLvfNQ,v2.ondemand,"I due componenti chiave di qualsiasi pipeline di dati sono costituiti dai data lake e dai data warehouse. In questo corso evidenzieremo i casi d'uso per ogni tipo di spazio di archiviazione e approfondiremo i dettagli tecnici delle soluzioni di data lake e data warehouse disponibili su Google Cloud. Inoltre, descriveremo il ruolo di un data engineer, illustreremo i vantaggi di una pipeline di dati di successo per le operazioni aziendali ed esamineremo i motivi per cui il data engineering dovrebbe essere eseguito in un ambiente cloud.

Questo è il primo corso della serie Data Engineering on Google Cloud. Dopo il completamento di questo corso, iscriviti al corso Building Batch Data Pipelines on Google Cloud.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Modernizing Data Lakes & Data Warehouses with GC - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e3/f3fd937883493b86f740b0699b383a/Logo-Image_GC-Projects-1-.png,"[""it""]",[],modernizing-data-lakes-and-data-warehouses-with-gcp-it,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",qCCxzGOQEe-kNRKvYx1DyQ,v2.ondemand,L'elaborazione dei flussi di dati sta diventando sempre più diffusa poiché la modalità flusso consente alle aziende di ottenere parametri in tempo reale sulle operazioni aziendali. Questo corso tratta la creazione di pipeline di dati in modalità flusso su Google Cloud. Pub/Sub viene presentato come strumento per la gestione dei flussi di dati in entrata. Il corso spiega anche come applicare aggregazioni e trasformazioni ai flussi di dati utilizzando Dataflow e come archiviare i record elaborati in BigQuery o Cloud Bigtable per l'analisi. Gli studenti acquisiranno esperienza pratica nella creazione di componenti della pipeline di dati in modalità flusso su Google Cloud utilizzando QwikLabs.,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Building Resilient Streaming Analytics Systems on GCP IT,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/70/bdf0b7251841fa9c9df40cdd829632/Logo-Image_GC-Projects-1-.png,"[""it""]",[],streaming-analytics-systems-gcp-it,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",KIU_MO-XEeaChwpLfdCNZA,v2.ondemand,"Quali sono le radici più profonde di quel mix di culture che chiamiamo ‘civiltà mediterranea’? Quali commistioni e quali scambi hanno prodotto il suo frutto più completo, ossia la città, come luogo delle comunità che plasmano il loro territorio e i loro spazi? Quali elementi formarono il sostrato condiviso di usanze, tradizioni, idee, scoperte ed innovazioni che hanno messo a confronto e mischiato popoli diversi per millenni. Cosa ha fatto, dalla ceramica alla metallurgia, dalla gastronomia all’architettura, dall’arte alla religione di un mare una culla di civiltà? L’archeologia può servire a sviluppare queste domande e cercare delle risposte non scontate, toccando con mano quello che gli antichi popoli del Mediterraneo ci hanno lasciato. Punto di osservazione privilegiato del corso è l’antica città fenicia di Mozia, posta al centro del “mare di mezzo”. Attraverso l’esperienza diretta dello scavo, con immagini prese dal vivo, il corso vuole far toccare a chi vorrà parteciparvi le tessere del grande mosaico della civiltà mediterranea. Il diario dello scavo - il libro dell’archeologo - e la piccozzina usata per scavare saranno i due strumenti che ci condurranno attraverso il mare a scoprire cosa furono realmente queste antiche città, e come il loro contributo è ancora parte della nostra memoria condivisa.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""7578376""]","[""Lorenzo Nigro""]",BEGINNER,Alle origini della civiltà  mediterranea: archeologia  della città dal Levante  all’Occidente - III-I millennio a.C.,"[""74""]",https://coursera-university-assets.s3.amazonaws.com/30/ac7332492a90f772e92cccd6f22cba/Logo-200x48-png.png,"[""Sapienza University of Rome""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5b/3b9e00ef9811e6b396e5e2dcd4e494/LOGO_MOOC_NIGRO.jpg,"[""it""]",[],nigro-levante-occidente,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert"", ""Specialization""]",TOTPtfY3EeuWbhLo_UpjIw,v2.ondemand,"Questo corso spiega agli studenti come creare soluzioni efficienti e ad alta affidabilità su Google Cloud utilizzando pattern di progettazione comprovati. È la continuazione del corso Architecting with Google Compute Engine o Architecting with Google Kubernetes Engine e presuppone che si abbia esperienza pratica con le tecnologie esaminate in uno dei due corsi. Attraverso una combinazione di presentazioni, attività di progettazione e lab pratici, i partecipanti impareranno a definire e bilanciare i requisiti aziendali e tecnici per progettare deployment Google Cloud estremamente affidabili, sicuri, economicamente convenienti e ad alta disponibilità.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,Reliable Cloud Infrastructure: Design & Process italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/81/001d70d89311e7813b83eea8b1c1a2/infra-design-process.jpg,"[""it""]","[""e5Aj0_7iEeu1FQ6_fYbWcQ""]",cloud-infrastructure-design-process-it,[],"2 weeks of study, 6-8 hours/week",00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",6pXfNySdEe6wQA4DcxzwjQ,v2.ondemand,"Questo è un corso di microlearning di livello introduttivo volto a spiegare cos'è l'IA responsabile, perché è importante e in che modo Google implementa l'IA responsabile nei propri prodotti. Introduce anche i 7 principi dell'IA di Google.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Introduction to Responsible AI - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b9/0ec92e59274e8c8bb86c4035abd4b4/Logo-Image_GC-Projects-1-.png,"[""it""]",[],introduction-to-responsible-ai-italiano,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert"", ""Specialization""]",nLOtx_Y2EeuF2QoXUFSfUQ,v2.ondemand,"Google Cloud Fundamentals: Core Infrastructure introduce concetti e terminologia importanti per lavorare con Google Cloud. Attraverso video e lab pratici, questo corso presenta e confronta molti dei servizi di computing e archiviazione di Google Cloud, insieme a importanti strumenti di gestione delle risorse e dei criteri.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Google Cloud Fundamentals: Core Infrastructure in italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/31/8ffb301bf011e79fa2d5b154b6a30b/GCP-Fundamentals-Core-Infra.jpg,"[""it""]","[""e5Aj0_7iEeu1FQ6_fYbWcQ""]",gcp-fundamentals-ita,[],"1 settimana di studio, 6-10 ore/settimana",00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert"", ""Specialization""]",Jrh5ofY3EeuEcw6azz3PZQ,v2.ondemand,"Questo corso accelerato on demand illustra ai partecipanti l'infrastruttura completa e flessibile e i servizi di piattaforma forniti da Google Cloud. Attraverso una combinazione di videolezioni, demo e lab pratici, i partecipanti potranno esplorare gli elementi delle soluzioni, tra cui interconnessione sicura delle reti, bilanciamento del carico, scalabilità automatica, automazione dell'infrastruttura e servizi gestiti.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Elastic Cloud Infrastructure: Scaling & Automation italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a3/9904b059d511e790c84dd17c7eb36c/GCP-for-AWS-Pros.jpg,"[""it""]","[""e5Aj0_7iEeu1FQ6_fYbWcQ""]",gcp-infrastructure-scaling-automation-it,[],"2 weeks of study, 3-5 hours/week",00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",sFz-NxsdEe6kVxLGFjlKSw,v2.ondemand,"Questo è un corso di microlearning di livello introduttivo volto a spiegare cos'è l'AI generativa, come viene utilizzata e in che modo differisce dai tradizionali metodi di machine learning. Descrive inoltre gli strumenti Google che possono aiutarti a sviluppare le tue app Gen AI.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Introduction to Generative AI - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e4/64dc81466449938aa0d91daac62946/GFX_Coursera_Asset_Full_1200x1200.png,"[""it""]",[],introduction-to-generative-ai---italiano,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",FyHrYRdSEe6zbwpCknIlAw,v2.ondemand,"Questo corso ti introdurrà al meccanismo di attenzione, una potente tecnica che consente alle reti neurali di concentrarsi su parti specifiche di una sequenza di input. Imparerai come funziona l'attenzione e come può essere utilizzata per migliorare le prestazioni di molte attività di machine learning, come la traduzione automatica, il compendio di testi e la risposta alle domande.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Attention Mechanism - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9f/145f43a27d4c139dbe997eb032b394/Logo-Image_GC-Projects-1-.png,"[""it""]",[],attention-mechanism-it,[],"1 week of study, 6-8 hours",00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert"", ""Specialization""]",5wUCso-xEeqMuhLEoRGTQw,v2.ondemand,"Il Corso fornisce i principi di programmazione, le tecniche e gli strumenti di Python, linguaggio interpretato orientato agli oggetti molto utilizzato in molteplici contesti scientifici ed aziendali.
Python è un linguaggio di programmazione di alto livello, supporta diversi paradigmi di programmazione, come il paradigma object-oriented (con supporto all'ereditarietà multipla), imperativo e funzionale. Ha ottenuto un enorme successo nelle comunità dei programmatori grazie al connubio unico tra la semplicità di apprendimento e la potenza offerta dalle sue librerie.


Questo corso fa parte della Specialization in Data Science con Python e R, cui sarà possibile iscriversi non appena il corso sarà partito.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""10169723""]","[""Flora Amato""]",BEGINNER,Python: Istruzioni per l’uso,"[""619""]",http://coursera-university-assets.s3.amazonaws.com/75/8814b2dff94724a44b3a28257ff33a/wide-logo-for-marketing.png,"[""Università di Napoli Federico II""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/22/9fa282dc5b48338abcbdfeaf9f964e/1_-Cover-Python-corso-base---istruzioni-per-l-uso---square.jpg,"[""it""]","[""mNm8HWL0EeqyaA4BuXgjIw""]",python-istruzioni-per-uso,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",Yjw2t6JlEeiB9QpgfrraUA,v2.ondemand,"Questo corso vi insegna i semplici principi che usano i manager esperti per migliorare e motivare le prestazioni dei dipendenti. Non dovete mai evitare di dire a un dipendente ""la verità"" di nuovo, perché le sette tecniche che insegnamo non metteranno i dipendenti alla difensiva né li spaventeranno. Come manager, o se volete diventarlo, imparerete nello specifico cos'è un feedback, come il feedback negativo pesa di più di quello positivo e come il feedback positivo può migliorare comportamenti come la creatività o il lavoro in gruppo.  

Dare feedback è un'abilità che si sviluppa con il tempo. Vi forniamo un processo che potete usare per migliorare le vostre abilità di feedback e per poterli fornire con sicurezza. Scoprirete che esiste una base scientifica per molte delle osservazioni e intuizioni relative ai feedback - come ad esempio, che è difficile darli correttamente, che alle persone non piacciono e altro ancora. Questo corso vi rassicurerà, poiché imparerete come superare queste difficoltà. Speriamo che vi divertirete diventando un manager migliore!","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""13370448""]","[""Tracy Jennings""]",BEGINNER,Fornire un feedback utile (Giving Helpful Feedback),"[""71""]",http://coursera-university-assets.s3.amazonaws.com/e1/d25de6c2be4186a8884c35a4284184/Boulder-FL.png,"[""University of Colorado Boulder""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ac/c5a6c0956811e58507f74428952d3b/feed-back-text-on-typewriter_M1jUO_PO.jpg,"[""it""]",[],feedback-it,[],"5 weeks of study, 1 hour/week",00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",o5HCShdHEe-wjQ7H6iR60Q,v2.ondemand,Gemini per Google Workspace è un componente aggiuntivo che fornisce ai clienti funzionalità di AI generativa in Google Workspace. In questo mini corso imparerai le funzionalità principali di Gemini e come possono essere utilizzate per migliorare la produttività e l'efficienza in Fogli Google.,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Gemini in Google Sheets - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9e/075fced0a94b56bd0c4dc06477fec7/Logo-Image_GC-Projects-1-.png,"[""it""]",[],gemini-in-google-sheets--italiano,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",uCVwm1ADEe-SdxJ_Axw1wQ,v2.ondemand,Questo corso introduce argomenti importanti relativi alla privacy e alla sicurezza dell'AI. Esplora metodi e strumenti pratici per implementare le pratiche consigliate per la privacy e la sicurezza dell'AI utilizzando gli strumenti open source e i prodotti Google Cloud.,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Responsible AI for Developers: Privacy & Safety - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5f/602cef0c91435fb52ae0c6845a36e0/0-Logo-Image_GC-Projects.png,"[""it""]",[],responsible-ai-for-developers-privacy-and-safety-it,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",7l7QFoe3Ee6L0QpSVaIh4Q,v2.ondemand,"In questo corso, esploreremo come il debito e l'equità possono essere utilizzati per finanziare gli investimenti infrastrutturali e come gli investitori affrontano questi investimenti. Scopriremo l'importanza cruciale delle infrastrutture nelle economie moderne e l'evoluzione delle modalità di finanziamento nel contesto delle crescenti esigenze globali.

Il corso si articola in 5 moduli per la durata di circa 7 ore, distribuiti su 5 settimane. Tratteremo l'importanza delle infrastrutture, le fonti di finanziamento pubbliche e private, l'evoluzione delle infrastrutture e il project financing. Analizzeremo anche l'attenzione crescente verso la sostenibilità e i criteri ESG (Environmental, Social, Governance).

Il corso include video lezioni, letture e interventi di ospiti esperti. È presentato in un formato accessibile e semplificato, adatto a un pubblico generalista, incluse scuole superiori e neo-ingressi all'università. Disponibile in italiano e inglese con sottotitoli, è accompagnato da materiali in entrambe le lingue.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""5151558"", ""159851872""]","[""Stefano Gatti"", ""Mattia Pianorsi""]",BEGINNER,"Finanziamento, sviluppo ed evoluzione delle infrastrutture","[""157""]",https://coursera-university-assets.s3.amazonaws.com/d9/dbb6b6a24f820c469217e0ab874dce/Untitled2.png,"[""Università Bocconi""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a2/ae0dfd7a5e478bb4a6c30389fabe4f/powering-up-smart-cities.jpg,"[""it""]",[],finanziamento-sviluppo-ed-evoluzione-delle-infrastrutture,[],"5 weeks of study, 1.5 hours/week",00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert"", ""Specialization""]",0EJ8z0U6EeuN9A5_DsIBjQ,v2.ondemand,"Questo corso è rivolto a tutti coloro che hanno maturato una conoscenza solida di Tableau. Dopo aver imparato a analizzare dati e costruire visualizzazioni è arrivato il momento di approfondire la conoscenza della Business Intelligence (BI) e andare oltre Tableau. 
La week 1 è dedicata alle Dashboard e alle Story. Una volta create le visualizzazioni di dati, imparerai come combinarle in modo interattivo all’interno di questi due ambienti.
La week 2 si occuperà della rappresentazione dell’informazione non limitata ai soli aspetti puramente grafici ma a tutte le scelte che un analista deve fare per comunicare in modo efficace i propri risultati. Per questo il modulo mescola teoria e pratica dei principi della data visualization, fondamentali per la comunicazione dei dati in ambito BI. 
Nella week 3 imparerai a costruire visualizzazioni avanzate su Tableau. Combinando creatività e una conoscenza approfondita dello strumento potrai costruire visualizzazioni originali ed efficaci.
La week 4  introduce Tableau Server e Tableau Online, estensioni che consentono di condividere le proprie analisi. 
La week 5, infine, è indirizzata all’apprendimento di Tableau Prep, il prodotto della suite dedicato alla preparazione dei dati che permette agli utenti di disegnare una data source ottimizzata sulla base delle proprie necessità analitiche.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""82013523""]","[""Manuel Belgioioso""]",ADVANCED,Business Intelligence con la Product Suite di Tableau,"[""619""]",http://coursera-university-assets.s3.amazonaws.com/75/8814b2dff94724a44b3a28257ff33a/wide-logo-for-marketing.png,"[""Università di Napoli Federico II""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/68/1ea99ac1894db69e4c678830adea39/cover-Data-visualization-3-avanzato_1200x1200.jpg,"[""it""]","[""K4jWk4KYEeusLw6jAKT62Q""]",business-intelligence-con-tableau,[],"5 settimane, 5-8 ore/settimana",00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",BlbNgUFHEe-9Ig7qA4dB5w,v2.ondemand,"Questo corso adotta un approccio pratico reale al flusso di lavoro ML attraverso un case study. Un team ML è chiamato a rispondere a numerosi requisiti aziendali e ad affrontare vari casi d'uso ML. Deve comprendere gli strumenti necessari per la gestione e la governance dei dati e considerare l'approccio migliore per la pre-elaborazione dei dati.

Al team vengono presentate tre opzioni per creare modelli ML per due casi d'uso. Il corso spiega perché il team utilizzerà AutoML, BigQuery ML o l'addestramento personalizzato per raggiungere i propri obiettivi.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Machine Learning in the Enterprise - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/19/f907ca187441ff81a57a5d7f7f8845/Screen-Shot-2022-12-07-at-6.55.27-PM.png,"[""it""]",[],machine-learning-in-the-enterprise-it,[],"1 week of study, 6-8 hours/week",00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert"", ""Specialization""]",AJvz4V-uEeqAMhIJwCcefQ,v2.ondemand,"Il corso Machine Learning e Data Mining in R è rivolto a chiunque voglia avere una pratica panoramica delle tecniche di apprendimento automatico, dalle più interpretabili - come l’analisi di regressione, delle componenti principali e dei gruppi - a quelle più flessibili come le reti neurali artificiali, sia shallow che deep - e le più ricorrenti problematiche di analisi e modellazione di dati e problemi reali - come collinearità, overfitting, regolarizzazione e knowledge transfer.
La modalità di erogazione del corso è di tipo learning by doing, mediante una continua implementazione in R dei concetti esposti. Le diverse unità ti verranno prima illustrate a voce, per permetterti di ricordare e capire, e poi rese disponibili sotto forma di reading, per permetterti di analizzarne criticamente il contenuto. Alla fine di ogni unità, verrai messo alla prova attraverso open Lab in ambiente di sviluppo RStudio, che ti permetteranno di applicare i metodi trattati nel corso ai tanti data set reali che ti saranno forniti. Ti verrà infine richiesto di valutare i tuoi progressi mediante graded quiz contenenti domande a risposta multipla. Non rimandare: Machine Learning e Data Mining in R sono ora a portata di mano!","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""64350829"", ""47072248"", ""10169066""]","[""Antonio Lepore"", ""Biagio Palumbo"", ""Carlo Sansone""]",INTERMEDIATE,Machine Learning e Data Mining in R,"[""619""]",http://coursera-university-assets.s3.amazonaws.com/75/8814b2dff94724a44b3a28257ff33a/wide-logo-for-marketing.png,"[""Università di Napoli Federico II""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/69/f1a62270b64844b9d06904e88f7195/2.-Cover-Data-machine-learning-e-data-mining-con-R-coursera-1200x1200.jpg,"[""it""]","[""mNm8HWL0EeqyaA4BuXgjIw""]",machine-learning-data-mining-con-r,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",nyeoNiYcEe68bBLHU5PBpw,v2.ondemand,"Questo corso introduce i modelli di diffusione, una famiglia di modelli di machine learning che recentemente si sono dimostrati promettenti nello spazio di generazione delle immagini. I modelli di diffusione traggono ispirazione dalla fisica, in particolare dalla termodinamica. Negli ultimi anni, i modelli di diffusione sono diventati popolari sia nella ricerca che nella produzione. I modelli di diffusione sono alla base di molti modelli e strumenti di generazione di immagini all'avanguardia su Google Cloud. Questo corso ti introduce alla teoria alla base dei modelli di diffusione e a come addestrarli ed eseguirne il deployment su Vertex AI.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Introduction to Image Generation - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d3/096bada5a04c7eb189170bd8986460/GFX_Coursera_Asset_Full_1200x1200.png,"[""it""]",[],introduction-to-image-generation-italiano,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",oJzGERdhEe-wjQ7H6iR60Q,v2.ondemand,"Gemini per Google Workspace è un componente aggiuntivo che fornisce agli utenti accesso a funzionalità di AI generativa. Questo corso approfondisce le funzionalità di Gemini in Documenti Google utilizzando lezioni video, attività ed esempi pratici. Imparerai a utilizzare Gemini per generare contenuti scritti in base a dei prompt. Inoltre, esplorerai l'utilizzo di Gemini per modificare il testo che hai già scritto, aiutandoti a migliorare la tua produttività complessiva. Alla fine del corso avrai acquisito le conoscenze e le competenze necessarie per utilizzare con sicurezza Gemini in Documenti Google per migliorare la tua scrittura.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Gemini in Google Docs - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e8/7c4b3b83de476497bb1300762fc825/Logo-Image_GC-Projects-1-.png,"[""it""]",[],gemini-in-google-docs---italiano,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",1ARjdBOFEe-r_Ar_6dbL9Q,v2.ondemand,Gemini per Google Workspace è un componente aggiuntivo che fornisce ai clienti funzionalità di AI generativa in Google Workspace. In questo mini corso imparerai le funzionalità principali di Gemini e come possono essere utilizzate per migliorare la produttività e l'efficienza in Presentazioni Google.,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Gemini in Google Slides - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/10/7c1a127b6b4f579d8a74596c18c364/Logo-Image_GC-Projects-1-.png,"[""it""]",[],gemini-in-google-slides---italiano,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",V3swaioIEe6mDAo3fVlzHw,v2.ondemand,"Questo corso ti insegna come creare un modello per le didascalie delle immagini utilizzando il deep learning. Scoprirai i diversi componenti di un modello per le didascalie delle immagini, come l'encoder e il decoder, e imparerai ad addestrare e valutare il tuo modello. Alla fine di questo corso, sarai in grado di creare modelli personali per le didascalie delle immagini e utilizzarli per generare didascalie per le immagini.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,Create Image Captioning Models - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5f/339299fdc24399879b3d1aa76cfdb3/Logo-Image_GC-Projects-1-.png,"[""it""]",[],create-image-captioning-models-italiano,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",fYiYG_Y3EeuEcw6azz3PZQ,v2.ondemand,"""Ti diamo il benvenuto nel corso Getting Started with Google Kubernetes Engine. Se ti interessa Kubernetes, un livello software che si trova tra le tue applicazioni e la tua infrastruttura hardware, allora sei nel posto giusto. Google Kubernetes Engine ti offre Kubernetes come servizio gestito su Google Cloud. 

L'obiettivo di questo corso è illustrare le nozioni di base di Google Kubernetes Engine, o GKE, come viene comunemente chiamato, e come containerizzare le applicazioni e farle funzionare su Google Cloud. Il corso inizia con un'introduzione di base a Google Cloud, seguita da una panoramica dei container e di Kubernetes, dell'architettura di Kubernetes e delle operazioni di Kubernetes.""","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Getting Started with Google Kubernetes Engine - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/17/9e0ce0ca5e11e79a7bd59370e41c7f/kubernetes-course.jpg,"[""it""]",[],google-kubernetes-engine-it,[],"1 week of study, 5-7 hours/week",00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",5jy-aCotEe-mFwr_x-b_PQ,v2.ondemand,"Questo corso illustra i vantaggi dell'utilizzo di Vertex AI Feature Store, come migliorare l'accuratezza dei modelli di ML e come trovare le colonne di dati che forniscono le caratteristiche più utili. Il corso include inoltre contenuti e lab sul feature engineering utilizzando BigQuery ML, Keras e TensorFlow.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Feature Engineering - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0d/974060480611e897b4a91da37aa47d/new-ml-on-gcp-logo.png,"[""it""]",[],feature-engineering-it,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert"", ""Specialization""]",9WVef_Y2EeuEcw6azz3PZQ,v2.ondemand,"Questo corso accelerato on demand illustra ai partecipanti l'infrastruttura e i servizi di piattaforma flessibili e completi di Google Cloud con particolare attenzione a Compute Engine. Attraverso una combinazione di videolezioni, demo e lab pratici, i partecipanti potranno esplorare gli elementi delle soluzioni, tra cui i componenti dell'infrastruttura come reti, sistemi e servizi per applicazioni, ed eseguirne il deployment. Questo corso tratta inoltre del deployment di soluzioni pratiche quali, ad esempio, chiavi di crittografia fornite dal cliente, gestione di sicurezza e accessi, quote e fatturazione, monitoraggio delle risorse.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Essential Google Cloud Infrastructure: Core Service italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bf/ee939059d111e790c84dd17c7eb36c/Computing-Storage-Security-with-GCP.jpg,"[""it""]","[""e5Aj0_7iEeu1FQ6_fYbWcQ""]",gcp-infrastructure-core-services-it,[],"2 weeks of study, 3-5 hours/week",00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",p8_1rfY3EeuWbhLo_UpjIw,v2.ondemand,"The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,Preparing Cloud Professional Cloud Architect Exam italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5a/582040032c11e99a22b596a6eba47f/Logo-PCA-2018-12-18.png,"[""it""]",[],preparing-cloud-professional-cloud-architect-exam-it,[],"1 week of study, 6-8 hours/week",00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert"", ""Specialization""]",07GXVPY2EeuF2QoXUFSfUQ,v2.ondemand,"Questo corso accelerato on demand illustra ai partecipanti l'infrastruttura e i servizi di piattaforma flessibili e completi di Google Cloud con particolare attenzione a Compute Engine. Attraverso una combinazione di videolezioni, demo e lab pratici, i partecipanti potranno esplorare gli elementi delle soluzioni, tra cui i componenti dell'infrastruttura come reti, macchine virtuali e servizi per applicazioni, ed eseguirne il deployment. Imparerai a utilizzare Google Cloud mediante la console e Cloud Shell. Scoprirai inoltre il ruolo del Cloud Architect, gli approcci alla progettazione dell'infrastruttura e la configurazione del networking virtuale con VPC (Virtual Private Cloud), progetti, reti, subnet, indirizzi IP, route e regole firewall.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Essential Google Cloud Infrastructure: Foundation - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/30/30378059d211e7b6a10f0c1f673917/Configuration-Management-on-GCP.jpg,"[""it""]","[""e5Aj0_7iEeu1FQ6_fYbWcQ""]",gcp-infrastructure-foundation-it,[],"2 settimane di studio, 3-5 ore/settimana",00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",AxTdfzd-Ee6U4g7a-RyA1w,v2.ondemand,"Questo corso illustra Generative AI Studio, un prodotto su Vertex AI che ti aiuta a prototipare e personalizzare i modelli di AI generativa in modo da poterne utilizzare le capacità nelle tue applicazioni. In questo corso imparerai cos'è Generative AI Studio, le sue funzionalità e opzioni e come utilizzarlo, esaminando le demo del prodotto. Alla fine, troverai un laboratorio pratico per mettere in pratica ciò che hai imparato e un quiz per testare le tue conoscenze.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Introduction to Generative AI Studio - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c9/c31cd858274d9baad35e19c2ec0493/Logo-Image_GC-Projects-1-.png,"[""it""]",[],introduction-to-generative-ai-studio-it,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",pHN9oU2HEe6pfRL41aTd9Q,v2.ondemand,"Ti diamo il benvenuto al corso Persone, tecnologia e futuro della mobilità. Questo corso fornisce un'introduzione non specialistica ad alcune delle principali innovazioni tecnologiche nello spazio della mobilità attualmente oggetto di studio e richiede agli studenti di applicare una varietà di concetti delle scienze sociali per comprendere i probabili impatti sociali di queste tecnologie. Il corso è adatto a studenti di ogni ambito di studi e non richiede una formazione preliminare in ingegneria o scienze sociali.

Il contenuto presentato in questo corso si basa su una serie di interviste e conferenze ed è stato creato attraverso una partnership con Siemens. Il corso include anche un'esperienza video interattiva a 360° che consente agli studenti di scoprire i componenti chiave di un veicolo autonomo, di guidarlo e di conoscere la nuova tecnologia di rilevamento che potremmo vedere nelle città intelligenti di oggi e domani.

Questo corso sfida gli studenti a immaginare una mobilità del futuro che sia più sicura, più pulita e più equa. Esamineremo i recenti progressi tecnologici, nonché le implicazioni socio-economiche e politiche, di due importanti spazi tecnologici in evoluzione legati alla mobilità: l'elettrificazione e l'automazione.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""42753596""]","[""Elisabeth Gerber""]",BEGINNER,"Persone, tecnologia e futuro della mobilità","[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6f/a682e2ca874a3eadab26e95ac92aa9/Course-image.jpeg,"[""it""]",[],people-technology-and-the-future-of-mobility-it,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",Wv5huzilEeinMgq8SYQgGA,v2.ondemand,"Il corso affronta le tematiche dell'elettromagnetismo e dell'ottica, fornendo le nozioni che risultano utili per affrontare insegnamenti di fisica di base, a partire dalla comprensione del metodo sperimentale per poi mostrare le grandezze fondamentali e loro relazioni in tali ambiti, imparando a identificarle, distinguerle e utilizzarle.

Gli argomenti affrontati relativamente all'elettromagnetismo sono, divisi per settimane:
· campo elettrico, conduttori, condensatori e materiali dielettrici
· corrente elettrica, campo magnetico e materiali magnetici

mentre per l'ottica si ha 
· onde elettromagnetiche, ottica geometrica e ottica ondulatoria

con un'ultima settimana di accenno alla fisica moderna.

All’interno di ogni settimana si trovano video relativi a lezioni, esercizi ed approfondimenti su alcuni argomenti, nonché quiz a risposta chiusa allo scopo di fornire allo studente l’opportunità di un primo feedback di auto-valutazione. Ognuna delle tematiche si chiude poi con un quiz riepilogativo per verificare l’acquisizione delle nozioni presentate.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""physics-and-astronomy""}]","[""5521832""]","[""Maurizio Zani""]",BEGINNER,"Introduzione alla fisica sperimentale: elettromagnetismo, ottica, fisica moderna","[""405""]",http://coursera-university-assets.s3.amazonaws.com/01/c62595317a4c01bcabd76db132a6c7/c2.png,"[""Politecnico di Milano""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/81/7180303d9911e88c8aeb45ce2f2fdc/zani_2.png,"[""it""]",[],fisica-sperimentale-fisica-moderna,[],2-5 ore/settimana,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",SBndgB22EeuRtBLpTHsFtw,v2.ondemand,"Lo smart working ha un posto di primo piano nell’ampio scenario della digitalizzazione dei processi formativi e organizzativi. Aggiornare le proprie competenze per poter affrontare la trasformazione tecnologica dei profili professionali oggi è una necessità.
Con questo corso potrai comprendere i vantaggi del “lavoro intelligente”, in quale modo migliora le performance e il benessere, acquisirai le competenze necessarie per analizzare la tua realtà lavorativa in relazione allo smart working. Studierai i vari livelli, da quello relazionale a quello tecnologico, coinvolti nel processo organizzativo e quali sono gli strumenti migliori per rendere il lavoro più agile. Punto di forza del corso sono le attività di autoriflessione e di interazione grazie alle quali potrai valutare il tuo modo di fare smart working fino ad oggi e quali sono gli aspetti su cui lavorare, e grazie alle testimonianze di manager ed esperti avrai la possibilità di confrontarti con chi già da tempo sperimenta questa nuova frontiera del mondo del lavoro. Infine imparerai a rendere più efficace la comunicazione e gestire un team smart.
Una sezione speciale del corso sarà interamente in inglese. In questo modo potrai sviluppare gli elementi essenziali per comunicare in inglese nel contesto lavorativo e in ogni ambito professionale.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""48316928"", ""76847095"", ""76851491"", ""8632922"", ""4105035"", ""60590015"", ""48174756"", ""48174643""]","[""Mauro Calise"", ""Francesco Pellecchia"", ""Mariateresa Provenzano"", ""Emmanuele Del Piano"", ""Francesca Ippolito"", ""Anna Piacentini"", ""Ruth Kerr"", ""Valentina Reda""]",BEGINNER,Smart Working: Lavoro agile e Business English,"[""619""]",http://coursera-university-assets.s3.amazonaws.com/75/8814b2dff94724a44b3a28257ff33a/wide-logo-for-marketing.png,"[""Università di Napoli Federico II""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/37/e227cdeb27418e8e8803662dea5447/Cover-smart-working-800x800.jpg,"[""it""]",[],smart-working-lavoro-agile-business-english,[],14-16 ore,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert"", ""Specialization""]",4Acm11-sEeqoyBJU7H5V2w,v2.ondemand,"Python per la Data Science è un corso cruciale per qualsiasi professionista che voglia analizzare grandi quantità di dati attraverso le più recenti tecniche di machine Learning e Deep learning. 
Il core del corso è rappresentato dall’utilizzo dei notebook: una nuova forma di fruizione dei contenuti didattici in cui testo e teoria sono affiancati a numerosi codici eseguibili e modificabili.  Il formato è visivamente simile ad un  file PDF a cui si aggiunge l’interattività tipica dei prodotti software. Il risultato? Un corso fortemente interattivo a vocazione pratica in cui, codice dopo codice, si manipolano dati fino a giungere ad esempi avanzati di image processing.
Non ti resta altro da fare che iscriverti al Corso e metterti alla prova con “Python per la Data Science”: ti aspetto!


Questo corso fa parte della Specialization in Data Science con Python e R, cui sarà possibile iscriversi non appena il corso sarà partito.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""10169066""]","[""Carlo Sansone""]",INTERMEDIATE,Python per la Data Science,"[""619""]",http://coursera-university-assets.s3.amazonaws.com/75/8814b2dff94724a44b3a28257ff33a/wide-logo-for-marketing.png,"[""Università di Napoli Federico II""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/78/5599c2f7604bed8289a40541c7f621/3_-Cover-Python-per-la-Data-Science---Sansone--Marrone-coursera.jpg,"[""it""]","[""mNm8HWL0EeqyaA4BuXgjIw""]",python-per-la-data-science,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",H461aBQrEe-d6hIj26omoQ,v2.ondemand,Gemini per Google Workspace è un componente aggiuntivo che fornisce ai clienti funzionalità di AI generativa in Google Workspace. In questo percorso di apprendimento imparerai le funzionalità principali di Gemini e come possono essere utilizzate per migliorare la produttività e l'efficienza in Google Workspace.,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Introduction to Gemini for Google Workspace - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/eb/692e88871b4bac9997e1bccae76aa0/Logo-Image_GC-Projects-1-.png,"[""it""]",[],introduction-to-duet-ai-in-google-workspace-it,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",mE3FqNA_EeeflwrDg8p7lg,v2.ondemand,"Il corso affronta le tematiche della meccanica e della termodinamica, fornendo le nozioni che risultano utili per affrontare insegnamenti di fisica di base, a partire dalla comprensione del metodo sperimentale per poi mostrare le grandezze fondamentali e loro relazioni in tali ambiti, imparando a identificarle, distinguerle e utilizzarle.

Gli argomenti affrontati relativamente alla meccanica sono, divisi per settimane:
· cinematica del punto materiale ed esempi di moti
· dinamica del punto materiale ed esempi di forze 
· lavoro, energia, urti e gravitazione universale

mentre per la termodinamica si ha 
· cinematica e dinamica dei liquidi ideali
· temperatura, gas ideali, calore, macchine termiche ed entropia

All’interno di ogni settimana si trovano video relativi a lezioni, esercizi ed approfondimenti su alcuni argomenti, nonché quiz a risposta chiusa allo scopo di fornire allo studente l’opportunità di un primo feedback di auto-valutazione. Ognuna delle tematiche si chiude poi con un quiz riepilogativo per verificare l’acquisizione delle nozioni presentate.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""physics-and-astronomy""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""5521832""]","[""Maurizio Zani""]",BEGINNER,"Introduzione alla fisica sperimentale: meccanica, termodinamica","[""405""]",http://coursera-university-assets.s3.amazonaws.com/01/c62595317a4c01bcabd76db132a6c7/c2.png,"[""Politecnico di Milano""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/75/8529f02e9b11e8b01c05200284c3c8/img_corso.png,"[""it""]",[],fisica-sperimentale-meccanica-termodinamica,[],5-6 ore/settimana,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",a3gM0Dk-Ee-9Ig7qA4dB5w,v2.ondemand,Questo corso introduce i concetti di AI responsabile e i principi dell'AI. Tratta le tecniche per identificare sostanzialmente l'equità e i bias e mitigare i bias nelle pratiche di AI/ML. Illustra metodi e strumenti pratici per implementare le best practice dell'AI responsabile utilizzando gli strumenti open source e i prodotti Google Cloud.,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Responsible AI for Developers: Fairness & Bias - Polski,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/52/4670e58c334dc395246d3ac69fdef2/Logo-Image_GC-Projects-1-.png,"[""it""]",[],responsible-ai-for-developers-fairness-bias-pl,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",PeyoKjxOEe-9Ig7qA4dB5w,v2.ondemand,Questo corso introduce i concetti di interpretabilità e la trasparenza dell'AI. Parla dell'importanza della trasparenza dell'AI per sviluppatori ed engineer. Illustra metodi e strumenti pratici per aiutare a raggiungere interpretabilità e trasparenza sia nei dati che nei modelli di AI.,"[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Responsible AI for Developers: Interpretability & Transparency - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5b/22ff4be6ae48089d8cc3e3b32a2adf/GFX_Coursera_Asset_Full_1200x1200.png,"[""it""]",[],responsible-ai-for-developers-interpretability-transparency-it,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],[],7tGs_LAMEfCVOAr_-ssqDQ,v2.ondemand,"Se vuoi costruire una startup, qui imparerai come farlo davvero!

In Startup Calling, creato dall’Università Bocconi e da B4i – Bocconi for Innovation, esploreremo ogni fase essenziale per realizzare una startup e creare impatto: dall’identificazione di un problema reale alla definizione della proposta di valore, dalla validazione di mercato fino alla presentazione del tuo progetto agli investitori.

B4i è l'hub imprenditoriale dell'Università Bocconi per supportare founder e team early-stage in fase di pre-accelerazione e accelerazione fornendo mentoring, workshop e accesso a investitori.

Insieme ai docenti dell’Università Bocconi (Prof. Andrea Fosfuri e Prof. Nicola Misani) incontrerai alcuni degli imprenditori più affermati dell’ecosistema startup in Italia: Alberto Dalmasso (Satispay), Luca Rossettini (D-Orbit), Davide Dattoli (Talent Garden), Mattia Montepara (Sibill), Danila De Stefano (Unobravo), Gianluca Cocco (Qomodo), Nadia Neytcheva (Doctorsa), Davide D’Atri (Soundreef), Chiara Schettino (Rosso) e Alessandra Cestaro (Holifya).

Inoltre, altri esperti, formatori e docenti saranno coinvolti nel percorso tra cui Nico Valenti Gatto (B4i), Raffaele Mauro, Augusto Coppola, Paolo Lombardi e Giacomo Poggiali. Attraverso le loro storie capirai cosa significa davvero fare impresa oggi, tra sfide, errori, cambi di direzione e opportunità inattese.

Nel corso imparerai a:
- definire e analizzare un problema reale, comprendendo emozioni, frequenza e inevitabilità attraverso strumenti come Jobs To Be Done e interviste efficaci;
- identificare i tuoi clienti ed early adopters, raccogliendo feedback rilevanti e riconoscendo i principali bias cognitivi che influenzano le decisioni imprenditoriali;
- formulare ipotesi e trasformarle in esperimenti, utilizzando test rapidi e a basso costo;
costruire MVP mirati, economici e capaci di generare dati affidabili;
- analizzare il mercato e la concorrenza, stimare TAM/SAM/SOM e valutare il potenziale della tua idea;
progettare un modello di business e un modello di ricavi sostenibile, selezionando la struttura più adatta al tuo prodotto o servizio;
- costruire una strategia di go-to-market, definire i canali di acquisizione e impostare un funnel efficace;
preparare un pitch chiaro e convincente, in grado di comunicare valore, traction e visione agli investitori.

Il corso è stato realizzato con il supporto di MUSA – Multilayered Urban Sustainability Action: un Ecosistema dell’Innovazione finanziato dal Ministero dell’Università e della Ricerca nell’ambito del Piano Nazionale di Ripresa e Resilienza.

Se sei pronto a metterti in gioco, questo corso sarà il tuo punto di partenza.

Il primo passo imprenditoriale comincia qui!","[{""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""5716017"", ""199343135""]","[""Nicola Misani"", ""Andrea Fosfuri""]",BEGINNER,Startup Calling: dall'idea all'impatto,"[""157""]",https://coursera-university-assets.s3.amazonaws.com/d9/dbb6b6a24f820c469217e0ab874dce/Untitled2.png,"[""Università Bocconi""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/99/59772fdf5a4e09a8e89cf6ed49095e/STARTUP-LOGO.png,"[""it""]",[],b4i-startup,[],4 settimane di studio,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],[],ATB94AigEfC6EhJcncb--Q,v2.ondemand,"Questo MOOC offre un percorso introduttivo alla sostenibilità e alla circolarità nei settori moda e design. Nelle prime settimane vengono presentati i concetti chiave e i modelli di gestione, insieme al ruolo dei diversi attori – dalle organizzazioni ai cittadini – nel favorire pratiche più responsabili. Si approfondiscono poi le strategie delle “R” dell’economia circolare, con esempi di riduzione, riuso, riparazione e riciclo applicati al ciclo di vita dei prodotti. Successivamente, l’attenzione si concentra sulla sostenibilità ambientale e sociale, affrontando temi come il Made in Italy, le certificazioni, i passaporti digitali, il ruolo cruciale del retail e l’importanza di formare e valorizzare nuove competenze tecniche e creative. Il corso guida i partecipanti a comprendere come contribuire a un futuro più sostenibile per il pianeta e per le persone attraverso moda e design.

Autori: Francesca Boni - Camilla Carrara - Licia Cerini - Erica Corbellini - Claudia di Bernardino - Fahimeh Khatami - Elisabetta Merlo - Lucia Paladino - Francesca Romana Rinaldi - Nicola Ruggiu - Stefania Saviolo - Elena Scoccianti - Paola Varacca Capello","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}]","[""32146300"", ""5179334""]","[""Francesca Romana Rinaldi"", ""Erica Corbellini""]",BEGINNER,Moda&Design a Milano: circolarità e competenze.,"[""157""]",https://coursera-university-assets.s3.amazonaws.com/d9/dbb6b6a24f820c469217e0ab874dce/Untitled2.png,"[""Università Bocconi""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/74/80359cf87945209583e5a140e6882f/ChatGPT-Image-23-apr-2025-11_23_52.png,"[""it""]",[],moda-design-milano,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",1c-vlDikEeiVDw41VJd9qA,v2.ondemand,"Con un viaggio tra le opere più note di alcuni grandi maestri del Novecento, questo corso offre un punto di vista utile per interpretare le vicende dell’architettura, ovvero dell’arte di costruire spazi per la nostra vita quotidiana.
Il corso si articola in tre settimane, ognuna dedicata all’approfondimento di un tema specifico: la prima settimana presenta i capolavori del Novecento, la seconda ripercorre il lavoro di due maestri della cultura architettonica italiana, la terza conduce nella visita di alcune opere recenti dei maestri contemporanei.
Ogni settimana è articolata in brevi lezioni; al termine di ciascuna viene proposto un quiz per verificare le conoscenze acquisite.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""33744112""]","[""Federico Bucci""]",BEGINNER,Introduzione alla Storia dell'Architettura Contemporanea,"[""405""]",http://coursera-university-assets.s3.amazonaws.com/01/c62595317a4c01bcabd76db132a6c7/c2.png,"[""Politecnico di Milano""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/30/db08f0422e11e89c78d77b0b063ff0/img_archcont.png,"[""it""]",[],architettura-contemporanea,[],1-2 ore a settimana,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",HW4IZWWHEeeqbxLIz9M6nA,v2.ondemand,L’Egitto prima e dopo i faraoni. Dalla nascita dello Stato (3000 a.C. ca.) alle prime comunità cristiane (IV secolo d.C.),"[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""27386828""]","[""Paola Buzi""]",BEGINNER,L’Egitto prima e dopo i faraoni. Dalla nascita dello Stato (3000 a.C. ca.) alle prime comunità cristiane (IV secolo d.C.),"[""74""]",https://coursera-university-assets.s3.amazonaws.com/30/ac7332492a90f772e92cccd6f22cba/Logo-200x48-png.png,"[""Sapienza University of Rome""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/27/eb31d065c411e798b459e2698a2d6e/buzi-1.jpg,"[""it""]",[],egitto,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",pGy0F5_kEeyFDhLpwtOZqw,v2.ondemand,"In questo corso, """"Architecting with Google Kubernetes Engine: Workloads"", imparerai come eseguire le operazioni Kubernetes, creare e gestire i deployment, quali sono gli strumenti di networking di GKE e come fornire archiviazione permanente ai tuoi carichi di lavoro Kubernetes.
 
 Questo è il secondo corso della serie Architecting with Google Kubernetes Engine. Dopo il completamento di questo corso, iscriviti al corso Reliable Google Cloud Infrastructure: Design and Process o al corso Hybrid Cloud Infrastructure Foundations with Anthos.""","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Architecting Google Kubernetes Engine: Workloads in italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cc/3bc2bfe79448109e221c627bd84c45/Container-Engine.png,"[""it""]",[],deploying-workloads-google-kubernetes-engine-gke-it,[],"3 weeks of study, 6-8 hours/week",00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",l7smKFlDEe-UZQr_zKHGzQ,v2.ondemand,"L'integrazione del machine learning nelle pipeline di dati aumenta la capacità di estrarre insight dai dati. Questo corso illustra i modi in cui il machine learning può essere incluso nelle pipeline di dati su Google Cloud. Per una personalizzazione minima o nulla, il corso tratta di AutoML. Per funzionalità di machine learning più personalizzate, il corso introduce Notebooks e BigQuery Machine Learning (BigQuery ML). Inoltre, il corso spiega come mettere in produzione soluzioni di machine learning utilizzando Vertex AI.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,"Smart Analytics, Machine Learning, and AI on GCP - Italiano","[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b0/3c93b7d5ea4a06a58848278ce911f0/Logo-Image_GC-Projects-1-.png,"[""it""]",[],smart-analytics-machine-learning-ai-gcp-it,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",N8x_B5kMEe6Z3w6uBtXtuw,v2.ondemand,"""Dal momento che l'uso dell'intelligenza artificiale e del machine learning nelle aziende continua a crescere, cresce anche l'importanza di realizzarli in modo responsabile. Molti sono scoraggiati dal fatto che parlare di IA responsabile può essere più facile che metterla in pratica. Se vuoi imparare come operativizzare l'IA responsabile nella tua organizzazione, questo corso fa per te. 

In questo corso scoprirai come Google Cloud ci riesce attualmente, oltre alle best practice e alle lezioni apprese, per fungere da framework per costruire il tuo approccio all'IA responsabile.""","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Responsible AI: Applying AI Principles with GC - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/be/ea901f5a5f4de98e46b5a366552537/Logo-Image_GC-Projects-1-.png,"[""it""]",[],responsible-ai-applying-ai-principles-with-google-cloud-it,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",JtJsvCf1Ee-qLxJFbw2Hbw,v2.ondemand,"Questo corso tratta la creazione di modelli ML con TensorFlow e Keras, il miglioramento dell'accuratezza dei modelli ML e la scrittura di modelli ML per l'uso su larga scala.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,"Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano","[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a8/c5509017f511e8841b697778604607/new-ml-on-gcp-logo.png,"[""it""]",[],tensorflow-on-google-cloud-it,[],"4 weeks of study, 8-10 hours/week",00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",Tzo0OXovEe6fEA5Z9m4OUQ,v2.ondemand,"Questo corso presenta le offerte di intelligenza artificiale (AI) e machine learning (ML) su Google Cloud per la creazione di progetti di AI predittiva e generativa. Esplora le tecnologie, i prodotti e gli strumenti disponibili durante tutto il ciclo di vita data-to-AI, includendo le basi, lo sviluppo e le soluzioni di AI. Ha lo scopo di aiutare data scientist, sviluppatori di AI e ML engineer a migliorare le proprie abilità e conoscenze attraverso attività di apprendimento coinvolgenti ed esercizi pratici.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Introduction to AI and Machine Learning on GC - Italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7e/b93f1a84ee4df3b10eac3fcfa71dab/GFX_Coursera_Asset_Full_1200x1200.png,"[""it""]",[],introduction-to-ai-and-machine-learning-on-google-cloud-it,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",XrCGMTroEeeAnw4ZpXnkxA,v2.ondemand,"The course presents the topographical lay-out of the most relevant part of the city. Research developed on the Palatine since the end of last century by the team of Sapienza Classical Archaeologists opened a new phase in the urban archaeological investigation and in the scientific debate about the relation between archaeological features and literary tradition as well as the “correct use“ of both kind of evidence, key issues of wide archaeological and historical significance.

Students will be introduced to methods and procedures developed and successfully applied by Sapienza School of Classical Archaeology in collection, analyses, integration and interpretation of complex and multi-stratified contexts, including actual methods and innovative instruments based on a deep archaeological and historical knowledge but also on ICT technologies.

The course will introduce students to the way we have been reflecting on over the last twenty years and still are engaged with the study of the past of our cities, beginning from the most complex case in the ancient Mediterranean World: the core of Italy and of Roman Empire. On the other hand, knowledge means also preservation and defense of material remains and cultural memory.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""13856785""]","[""Paolo Carafa""]",BEGINNER,Paesaggi di Roma Antica. Archeologia e storia del Palatino.,"[""74""]",https://coursera-university-assets.s3.amazonaws.com/30/ac7332492a90f772e92cccd6f22cba/Logo-200x48-png.png,"[""Sapienza University of Rome""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d6/8676103b9d11e797452dbd6698f467/LOGO_CARAFA_2.jpg,"[""it""]",[],paesaggi-roma-antica,[],,00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",KwCcB5_lEeyFDhLpwtOZqw,v2.ondemand,"In questo corso, """"Architecting with Google Kubernetes Engine: Production"""", imparerai a conoscere la sicurezza di Kubernetes e Google Kubernetes Engine (GKE), logging e monitoraggio e a utilizzare i servizi di archiviazione e database gestiti di Google Cloud dall'interno di GKE.

Si tratta del corso finale della serie Architecting with Google Kubernetes Engine. Dopo il completamento di questo corso, iscriviti al corso Reliable Google Cloud Infrastructure: Design and Process o al corso Hybrid Cloud Infrastructure Foundations with Anthos.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Architecting Google Kubernetes Engine Production in italiano,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/31/1192322e7544b9b74be597de332199/Container-Engine.png,"[""it""]",[],deploying-secure-kubernetes-containers-in-production-it,[],"3 weeks of study, 6-8 hours/week",00lW1s0PCZytNKIN1,3TgsspYDI5xzWIS7e
[],"[""VerifiedCert""]",Q7g64XUHEeuBTg7vUdMe9w,v2.ondemand,"В этом курсе-проекте продолжительностью 1 час вы получите следующие навыки: расчет текущей ставки и текущей цены бонда, расчет доходности к погашению бонда, расчет дюрации Маколея.

Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""10043473""]","[""Bekhruzbek Ochilov, MCSI, PAGRC""]",INTERMEDIATE,Оценка облигаций,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/89/55acfb6ea546e1a1e82da4d3e853e6/pexels-pixabay-220301.jpg,"[""ru""]",[],bonds-fixed-income-mathematics-ru,[],2 часа,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",sKN3F-NrEeqdwhKNflHjeQ,v2.ondemand,"Этот курс поможет вам эффективно управлять проектными рисками посредством выявления и анализа неизбежных изменений объема работ по проекту и целей проекта, а также информационного взаимодействия по вопросам таких изменений. Вы узнаете и отработаете на практике элементы, необходимые для оценки и отчетности в части, касающейся содержания, графика и эффективности затрат проекта. Вы вооружитесь инструментами для управления изменениями, которые позволили бы свести к минимуму воздействие на вашу команду и другие заинтересованные стороны проекта.

По завершении этого курса вы сможете:
1.       Определять составляющие плана управления коммуникацией.
2.       Понимать важность каналов коммуникации.
3.       Определять основные элементы, необходимые для оценки и отчетности в части, касающейся содержания, графика и эффективности затрат проекта.
4.       Выявлять события риска применительно к проекту.
5.       Ранжировать выявленные риски по приоритету.
6.       Разрабатывать ответные меры в отношении наиболее значимых рисков.
7.       Выявлять и анализировать изменения в объеме работ по проекту.
8.       Пояснять причины и последствия изменений в проекте.
9.       Определять цель проведения разбора накопленного опыта.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""29346301""]","[""Margaret  Meloni,  MBA, PMP""]",,Управление рисками проекта и изменениями,"[""30""]",https://d15cw65ipctsrr.cloudfront.net/b0/7884f0f97f11e683006f4d784414a5/DCE-1200x1200.png,"[""University of California, Irvine""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d8/63d0d04a6511e4878ac30d64681fd7/4_RiskChange_Coursera.jpg,"[""ru""]",[],project-risk-management-ru,[],"4 weeks of study, 2-3 hours/week",rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",5xzZA-NpEeqpVgqb3URATw,v2.ondemand,"Использование Excel широко распространено в отрасли. Это очень мощный инструмент анализа данных, и почти все крупные и малые предприятия используют Excel в своей повседневной работе. Это вводный курс по использованию Excel, который предоставляет знания о работе в Excel с целью ее использования для более продвинутых тем деловой статистики позже. Курс разработан с учетом двух типов учащихся — тех, у кого очень мало функциональных знаний о Excel, и тех, кто регулярно использует Excel, но на периферийном уровне и хочет развить свои навыки. Курс включает в себя базовые операции, такие как импорт данных в Excel с использованием различных форматов данных, организацию и управление данными, а также некоторые более продвинутые функции Excel. В целом, знакомство с функциями Excel проходит на базе простых для понимания примеров, которые демонстрируются таким образом, чтобы учащимся не составило труда понять и применить их.

Для успешного прохождения курсов учащиеся должны иметь доступ к Microsoft Excel 2010 или более поздней версии для Windows. 
________________________________________
НЕДЕЛЯ 1
Модуль 1: Введение в электронные таблицы
В этом модуле вы познакомитесь с использованием электронных таблиц Excel и различными базовыми функциями данных Excel.

Рассматриваемые темы включают:
•	Импорт данных в Excel с использованием различных форматов
•	Основные функции в Excel, арифметические и различные логические функции
•	Форматирование строк и столбцов
•	Использование формул в Excel и их копирование с использованием абсолютных и относительных ссылок
________________________________________
НЕДЕЛЯ 2
Модуль 2: Функции электронной таблицы для организации данных
В этом модуле представлены различные функции Excel для организации и запроса данных. Участники знакомятся с функциями ЕСЛИ, ВПР и ГПР и вложенной функцией ЕСЛИ в Excel. 

Рассматриваемые темы включают:
•	Функция ЕСЛИ и вложенная функция ЕСЛИ
•	ВПР и ГПР
•	Функция СЛУЧМЕЖДУ
________________________________________
НЕДЕЛЯ 3
Модуль 3: Введение в фильтры, сводные таблицы и диаграммы
В этом модуле представлены различные возможности фильтрации данных в Excel. Вы узнаете, как настраивать фильтры для избирательного доступа к данным. Также объясняется очень мощный инструмент обобщения данных, сводная таблица, и мы начинаем вводить функцию построения диаграмм в Excel.

Рассматриваемые темы включают:
•	ВПР и рабочие листы
•	Фильтрация данных в Excel
•	Использование сводных таблиц с категориальными и числовыми данными
•	Введение в возможности построения диаграмм в Excel
________________________________________
НЕДЕЛЯ 4
Модуль 4: Расширенные возможности построения графиков и диаграмм
В этом модуле рассматриваются различные продвинутые методы построения графиков и диаграмм, доступные в Excel. Начиная с различных линейных, столбчатых и круговых диаграмм, мы представляем сводные диаграммы, точечные графики и гистограммы. Вы научитесь понимать эти различные диаграммы и начнете строить их самостоятельно.

Рассматриваемые темы включают:
•	Линейные, столбчатые и круговые диаграммы
•	Сводные диаграммы
•	Точечные графики
•	Гистограммы","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""15494044""]","[""Sharad Borle""]",,Введение в анализ данных с помощью Excel,"[""13""]",http://coursera-university-assets.s3.amazonaws.com/f5/f983fc330847ecae8a5b6f93162c1b/Rice-Logo_Updated_Cropped_200x48.png,"[""Rice University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/60/d819005f0c11e6bc2b7945d34f43c3/ChartsGraphsTabletThumb.jpg,"[""ru""]",[],excel-data-analysis-ru,[],"4 недели обучения, 1–3 часа в неделю",rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert"", ""Specialization""]",GxMGwZf3Eeu46w60Xgbpdw,v2.ondemand,"В этом курсе мы переключимся с работы на одном компьютере на обслуживание целого парка устройств. Системное администрирование – это сфера в IT, связанная с поддержкой компьютерных систем в многопользовательской среде. Из этого курса вы узнаете о службах инфраструктуры, которые поддерживают работу любых организаций – от небольших компаний до огромных корпораций. Мы разберем облачные технологии: подробно рассмотрим управление ресурсами, инфраструктуру и не только. Вы научитесь настраивать серверы, использовать стандартные инструменты для управления компьютерами и пользовательскими данными, а также для организации эффективной работы сотрудников. Наконец, мы расскажем об аварийном восстановлении IT-инфраструктуры.
Пройдя этот курс, вы научитесь:
● применять полученные знания при выборе аппаратного обеспечения, поставщиков и сервисов для своей организации;
● разбираться в основных службах инфраструктуры, необходимых для успешной работы организации,
и управлять серверами;
● использовать все преимущества облачных технологий для работы организации;
● управлять компьютерами и пользователями при помощи служб каталогов, таких как Active Directory
и OpenLDAP;
● выбирать инструменты для работы организации и управлять ими;
● создавать резервные копии данных и восстанавливать IT-инфраструктуру
организации в случае сбоев;
● планировать и оптимизировать процессы в IT-среде, применяя знания в области системного администрирования.","[{""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,Системное администрирование и службы IT-инфраструктуры,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/82/d56dd0f26a11e78b9f155aee1c522b/Course-Logo-4---NEW.jpg,"[""ru""]","[""EBZsdK10Ee2L3A6lwOQQZw"", ""H6Nu8pvMEeu8PQ4qCIcxVQ""]",system-administration-it-infrastructure-services-ru4,[],8–10 часов в неделю.,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",fIsw-VOSEeyHERJqCPeVeQ,v2.ondemand,"В этом курсе-проекте продолжительностью 1 час вы сможете научиться создавать и настраивать группу в Facebook.

Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""10043473""]","[""Bekhruzbek Ochilov, MCSI, PAGRC""]",BEGINNER,Как создавать группу в Facebook,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/88/3157fb3a45406f86ba5b367a5e03f5/Marketing-tips-facebook-groups.png,"[""ru""]",[],sozdat-gruppu-v-facebook,[],1 час,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",UyEzliS0EeuzhhKVpJt8Dw,v2.ondemand,"Сегодня инновации стали частью повседневной жизни. Неважно, чем вы занимаетесь. Умение сделать свою работу более эффективной требуется всем — от менеджеров в международной корпорации и основателей стартапов до госслужащих и учителей начальной школы. Именно поэтому дизайн-мышление необходимо каждому человеку.
На любом уровне в любой организации дизайн-мышление предоставляет инструменты для использования инновационного подхода и раскрывает творческие возможности, о которых мы даже не подозревали. Этот курс, разработанный лучшими преподавателями бизнес-школы Дарден Университета Вирджинии, содержит описание дизайн-мышления, принципов работы с моделью четырех ключевых вопросов и несколькими инструментами, которые помогают разобраться в том, как использовать дизайн-мышление в решении проблем. Мы также рассмотрим истории нескольких компаний, которые нашли интересные решения с помощью дизайн-мышления.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""2506410""]","[""Jeanne M. Liedtka""]",BEGINNER,Дизайн-мышление в инновационной деятельности,"[""18""]",http://coursera-university-assets.s3.amazonaws.com/0f/80aa19dc384a7482ea6f428601255d/uva_primary_rgb.png,"[""University of Virginia""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fa/e15e80504811e6bcaf7158d37ab7ca/LightBulb.jpg,"[""ru""]",[],uva-darden-design-thinking-innovation-ru,[],"5 недель, 1–3 часа в неделю.",rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",_4qI24BQEeuttw4NADkWXw,v2.ondemand,"В этом курсе-проекте продолжительностью 1 час вы получите следующие навыки: вычисление стоимости долевого капитала с помощью CAPM, вычисление стоимости долгового капитала, вычисление средневзвешенной стоимости капитала, вычисление чистой приведенной стоимости инвестиции.

Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.

Контент данного курса не является инвестиционной рекомендацией.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""10043473""]","[""Bekhruzbek Ochilov, MCSI, PAGRC""]",INTERMEDIATE,Введение в оценку компаний с WACC,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/84/12f00d0dda4898afc907be820671fc/newspaper-stock-exchange-stock-market-stock-prices.jpg,"[""ru""]",[],introduction-valuation-wacc-ru,[],2 часа,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",jFhPUyMiEeuqQApYn6Yorw,v2.ondemand,"В данном курсе описываются основные структуры данных языка программирования Python. Будут рассмотрены основы процедурного программирования, а также способы использования встроенных структур данных Python, например, списков, словарей и кортежей для выполнения сложного анализа данных. В данном курсе рассматриваются главы 6-10 учебника «Python для всех». В этом курсе речь идет о языке Python 3.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""122340""]","[""Charles Russell Severance""]",,Структуры данных Python,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/44/2959b0502911e5851f058ad6ebf936/pythondata_thumbnail_1x1.png,"[""ru""]",[],python-data-ru,[],2-4 часа в неделю,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",iYhNQAZrEeqJ6Q7f9hTL-Q,v2.ondemand,"Этот курс обучает широкому спектру основ и навыков в области травматологической хирургии и ортопедической травматологии. Для этой цели в курсе используется совершенно новая концепция передачи информации. Мы следуем научному подходу и сложному сочетанию современных методов обучения, чтобы передать содержание в яркой форме. Мы используем обучение на основе конкретных случаев, обширныx фактическиx знаний, а затем вопросы викторины, которые помогают вспомнить то, что было изучено, и вспомнить это позже в повседневной рутине травматологической хирургии.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}]","[""5401348""]","[""Peter Biberthaler""]",INTERMEDIATE,Основы травматологии,"[""78""]",http://coursera-university-assets.s3.amazonaws.com/60/fd7a1033e14e8fa9a63310809697f6/TUM_Logo_Coursera.png,"[""Technical University of Munich (TUM)""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7a/451870449311e888142d2d9d9fd163/Course-Logo_1.jpg,"[""ru""]",[],osnovy-travmatologii,[],"6-недельный курс, 3-4 часа каждую неделю",rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",RJkmtikHEeyavRI3rIvGvQ,v2.ondemand,"В этом курсе-проекте продолжительностью 1 час вы научитесь правильно читать и анализировать отчеты S-1 - проспект, который сдают компании перед IPO на американских биржах.

Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""10043473""]","[""Bekhruzbek Ochilov, MCSI, PAGRC""]",INTERMEDIATE,Разбираем отчет S-1 для IPO,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1d/8dee948bc44b2695d52433fd5f1d6d/Screen-Shot-2021-10-11-at-20.30.39.png,"[""ru""]",[],ponimaniye-otchetov-kompanii-po-forme-s-1,[],1 час,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",X6lNY-NuEeqpVgqb3URATw,v2.ondemand,"Графический дизайн — повсюду вокруг нас. Слова и изображения — структурные элементы графического дизайна — несут в себе большую часть контента как в цифровом, так и в печатном мире. Графический дизайн становится все более заметным и распространенным в нашей жизни, а графический дизайн в качестве практики — более важным в нашей культуре.

На визуальных примерах этот курс ознакомит вас с основными принципами графического дизайна: создание изображений, типографика, композиция, работа с цветом и формой — основополагающими навыками, которые являются общими для всех областей практики графического дизайна. Нужно, чтобы вы не просто посмотрели видеоролики, где говорят о дизайне, необходимо, чтобы вы РАЗРАБОТАЛИ дизайн. Чтобы стать дизайнером, нужно быть творцом и специалистом по коммуникации, поэтому в этом курсе вам будет предоставлено множество возможностей для экспериментирования при выполнении упражнений и более практических проектов.

В конце этого курса вы научитесь исследовать и изучать визуальное представление с помощью целого ряда техник создания изображений; усвоите основные принципы работы с формой, цветом и рисунком; ознакомитесь с терминами и навыками работы с типографикой; поймете и примените на практике принципы композиции и визуального контраста. По завершении курса и выполнении дополнительных брифов (настоятельно рекомендуется) вы будете обладать базовым набором навыков графического дизайна, которые сможете использовать в своих собственных проектах или для более глубокого изучения специализированной области графического дизайна.

Для успешного прохождения этого курса вам потребуется доступ к компьютеру. Курс можно пройти и без компьютера, но это будет труднее. Наличие таких программ пакета Adobe Creative, как Illustrator, Photoshop и InDesign, а также знаний начального уровня по использованию этих программ помогут вам, особенно если вы планируете выполнять дополнительные брифы.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""13861463""]","[""Michael Worthington""]",BEGINNER,Основы графического дизайна,"[""59""]",http://coursera-university-assets.s3.amazonaws.com/fe/fb91004b1711e7a2897be74585bdad/Logo_200x48.png,"[""California Institute of the Arts""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/dc/1d37b0e47f11e5a403f7dee24cfcd7/01.FUND_1200-x-1200_logo.jpg,"[""ru""]",[],fundamentals-of-graphic-design-ru,[],"4 недели обучения, 5–8 часов в неделю",rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",c8piIxV2Eey8CQo63UjS5w,v2.ondemand,"В этом курсе-проекте продолжительностью 1 час вы сможете научиться планировать календарь контента используя Trello.

Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""10043473""]","[""Bekhruzbek Ochilov, MCSI, PAGRC""]",BEGINNER,Как спланировать календарь контента используя Trello,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6d/5d2db19b4942a1833e59804a2256c7/648260.png,"[""ru""]",[],kak-splanirovat-kalendar-kontenta-ispolzuya-trello,[],1 час,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",tzLOtuNqEeqdwhKNflHjeQ,v2.ondemand,"Этот короткий курс посвящен всем основным темам, рассмотренным в ходе полного семестрового курса по финансированию уровня MBA, но с более интуитивным подходом на очень высоком концептуальном уровне.  Цель — предоставить вам план и схему принятия решений финансовыми специалистами.  

Мы рассмотрим основы финансовой оценки, стоимость денег во времени, составляющие доходы и дисконтирование на будущее.  Вы поймете оценку дисконтированного денежного потока (ДДП) и то, как он сравнивается с другими методами.  Мы также вступаем в сознательный круг корпоративного финансового руководителя и разрабатываем основные инструменты планирования капитальных вложений.  Мы обсудим, как, когда и где потратить деньги, а также определим компромиссы в отношении инвестиций, роста, дивидендов и обеспечения надежной финансовой дисциплины.  Наш путь затем переходит к перспективе инвестиций на Уолл-стрит или на рынки капитала, поскольку мы обсуждаем фундаментальный компромисс между риском и доходностью.  Затем мы обобщаем наше обсуждение рисков с системой оценки и внедряем его в серию прямых заявлений для практики.

Данный курс не требует предварительного ознакомления с финансами.  Напротив, это первый шаг для всех, кто интересуется пониманием фондовых рынков, оценки или корпоративных финансов.  Мы вместе рассмотрим все инструменты и количественный анализ и разработаем руководство по пониманию сложных на первый взгляд решений, которые принимают финансовые специалисты.  

К концу курса вы получите представление об основных концептуальных рычагах, которые продвигают и стимулируют принятие финансовых решений, а также о том, как они связаны с другими сферами бизнеса.  Данный курс также должен служить дорожной картой для дальнейшего обучения в области финансов, и это будет отличным началом для студентов, которые рассматривают возможность получения степени магистра по MBA (магистр делового администрирования) или финансам, но у которых мало опыта работы в этой области.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""18861885""]","[""James Weston""]",BEGINNER,Финансы для нефинансистов,"[""13""]",http://coursera-university-assets.s3.amazonaws.com/f5/f983fc330847ecae8a5b6f93162c1b/Rice-Logo_Updated_Cropped_200x48.png,"[""Rice University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1c/8671a0649011e6b07af9b2acb13442/Finance4NonFinanceSquare.jpg,"[""ru""]",[],finance-for-non-finance-ru,[],,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",TrsalCObEeuZCg52ZqAIxQ,v2.ondemand,"Электронные таблицы по-прежнему остаются одними из самых распространенных программ, используемых на рабочих местах по всему миру. Научиться уверенно работать с ними значит овладеть очень ценным навыком, который пригодится вам при будущем трудоустройстве. Ежедневно по всему миру публикуются миллионы объявлений о вакансиях, требующих навыков работы в Excel. Количество рабочих мест, требующих цифровых навыков, растет намного быстрее, чем не предполагающих таковые. Прохождение этого курса позволит вам опередить других кандидатов, поэтому продолжайте изучать эту тему.

В этом последнем курсе специализации «Навыки Excel для бизнеса» вы будете опираться на фундамент, построенный в процессе прохождения первых трех курсов: «Базовый» и «Средний» (I и II).  Продвинутый курс сделает вас опытным пользователем Excel — это последний шаг к тому, чтобы стать настоящим профессионалом. Темы, которые мы подготовили, научат вас использовать передовые методы работы с формулами и сложные поисковые запросы. Вы будете очищать данные и подготавливать их к анализу и научитесь работать с датами и финансовыми функциями. Углубленное изучение дизайна электронных таблиц и документации подготовит вас к грандиозному финальному проекту, в ходе которого вы научитесь создавать в Excel профессиональные информационные панели.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""25910599"", ""5180246"", ""24285729""]","[""Nicky Bull"", ""Professor Yvonne Breyer"", ""Assoc Prof Prashan S. M. Karunaratne""]",INTERMEDIATE,Навыки Excel для бизнеса. Продвинутый,"[""254""]",http://coursera-university-assets.s3.amazonaws.com/cf/ed52a39ecb41868171ebaf3e9cfb76/MQ_INT_HOR_RGB_POS---COLOUR.png,"[""Macquarie University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/23/ae797d6d99420991e803aefd1d6ef4/ICON-4.jpg,"[""ru""]",[],excel-advanced-ru,[],"6 weeks of study, 2-4 hours per week",rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",95ee7d21Eeu-EQpycSBBow,v2.ondemand,"В этом проекте вы научитесь создавать аккаунт для бизнеса в Twitter.

Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""10043473""]","[""Bekhruzbek Ochilov, MCSI, PAGRC""]",BEGINNER,Создаем аккаунт для бизнеса в Twitter,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5e/aafeb25a1b4b25a24540e5491d15a4/2mZQ3Lpt_400x400.jpeg,"[""ru""]",[],create-a-business-profile-on-twitter-ru,[],1 час,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",TnVggrzlEeuCUhJj8B9UXw,v2.ondemand,"Расписание проекта — это основополагающая часть плана управления проектом которая способствует правильному распределению ресурсов и общему пониманию сроков проекта и компонентов доставляемого продукта.

По завершению этого обучающего курса, вы научитесь разрабатывать расписание проекта применяя метод критического пути. Вы узнаете ключевые термины и концепции этой техники моделирования расписания, а также создадите диаграмму используя веб-приложение Lucidchart. На протяжении этого курса мы рассмотрим последовательность выполнения операций и выполним вычисления критического пути для анализа расписания проекта.

Этот курс изначально создан для учащихся Северной Америки. На данный момент мы адаптируем его для других регионов.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""13766376""]","[""Maria Zvezdkina""]",BEGINNER,Разработка Расписания Проекта Методом Критического Пути,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ca/cc2dca200d4e7787575cfc82d301d8/green-chameleon-s9CC2SKySJM-unsplash.jpg,"[""ru""]",[],razrabotka-raspisaniya-proekta-metodom-kriticheskogo-puti,[],1 час,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",EJ_FXCoCEeyxgAr51Gjbpw,v2.ondemand,"В этом курсе-проекте продолжительностью 1 час вы получите следующие навыки: использование рекламного инструментария Twitter и настройка рекламной кампании в Twitter.

Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""10043473""]","[""Bekhruzbek Ochilov, MCSI, PAGRC""]",BEGINNER,Как создать рекламную кампанию в Twitter,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1b/78e45f64d945bc8e3adcbe29663f34/Screen-Shot-2021-10-11-at-19.46.56.png,"[""ru""]",[],kak-nastroit-kampaniyu-dlya-podpischikov,[],1 час,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",5LXFYyMiEeuF6RLLcL5oKQ,v2.ondemand,"В настоящем курсе рассматриваются основы структурированного языка запросов (SQL) и проектирования баз данных как отдельного этапа процесса сбора, анализа и обработки данных. В качестве системы управления базой данных в курсе используется библиотека SQLite3. Мы научимся создавать поисковых роботов, а также многоэтапные процессы сбора и визуализации данных. Для простой визуализации данных мы воспользуемся библиотекой D3.js. В данном курсе рассматриваются разделы 14–15 книги «Python для всех». Для успешного прохождения курса необходимо ознакомиться с материалами разделов учебника 1–13, а также трех первых курсов по данной специализации. В этом курсе изучается язык Python 3.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""122340""]","[""Charles Russell Severance""]",,Работа с базами данных в Python,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9d/172890502911e5827cbbcae1b894c9/pythondatabases_thumbnail_1x1.png,"[""ru""]",[],python-databases-ru,[],Курс длится пять недель по два-три часа занятий в неделю,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert"", ""Specialization""]",4FZWZpftEeuFpwo_oTjObQ,v2.ondemand,"В этом курсе мы рассмотрим основные понятия, связанные с безопасностью IT-инфраструктуры. Вы познакомитесь с инструментами и оптимальными методами, позволяющими поддерживать достаточный уровень защиты. Мы расскажем об угрозах и атаках, а также о том, как они могут проявиться. Вы получите общее представление об алгоритмах шифрования и их использовании для защиты данных. Мы расскажем о трех ключевых процессах защиты данных: аутентификации, авторизации и учете. Вы узнаете о решениях для сетевой безопасности – от брандмауэров до шифрования Wi-Fi. Мы рассмотрим модель защиты Chrome OS. В конце курса все эти элементы объединяются в многоуровневую и углубленную архитектуру безопасности. Наши рекомендации помогут вам привнести культуру безопасности в свою организацию или команду.
Пройдя этот курс, вы сможете:
● разбираться в работе алгоритмов и методов шифрования, а также знать обо всех их преимуществах и недостатках;
● ориентироваться в системах и типах аутентификации;
● отличать аутентификацию от авторизации;
● оценивать потенциальные риски и предлагать способы их снижения;
● применять полученные знания для улучшения защиты сетей;
● рассказывать окружающим о сетевой безопасности и помогать им защищать свои данные.","[{""subdomainId"": ""security"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,Безопасность в IT: искусство борьбы с темными силами,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/af/d5ed10f26911e7a930e510b0715979/Course-Logo-6---NEW.jpg,"[""ru""]","[""EBZsdK10Ee2L3A6lwOQQZw"", ""H6Nu8pvMEeu8PQ4qCIcxVQ""]",it-security-ru,[],,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",1V4pTrHKEeuuSApZovVFWw,v2.ondemand,"В этом курсе-проекте продолжительностью 1 час вы получите следующие навыки: вычислить темп роста дивидендов, вычислить стоимость собственного капитала, использовать темп роста дивидендов и стоимость капитала для расчета справедливой цены акций.

Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.

Контент данного курса не является инвестиционной рекомендацией.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""10043473""]","[""Bekhruzbek Ochilov, MCSI, PAGRC""]",INTERMEDIATE,Оценка акций через модель дисконтирования дивидендов,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/06/82dcee1aa64406837e4f2d791be505/Finance-home.jpeg,"[""ru""]",[],stock-valuation-dividend-discount-model-ru,[],1 час,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",NliExyU0Eeuy3gqDq0mMFw,v2.ondemand,"Этот курс научит вас «магии» повышения эффективности глубокого обучения. Вы изучите сложный механизм работы глубокого обучения, узнаете, какие параметры влияют на его эффективность и сможете систематически получать хорошие результаты. Также вы изучите TensorFlow. 

 По прошествии трех недель вы:  
— освоите передовые методы создания  приложений для глубокого обучения;
— научитесь эффективно использовать распространенные «хитрости» работы с нейросетями, включая инициализацию, L2-регуляризацию и регуляризацию методом исключения, пакетную нормализацию и проверку градиента;
— научитесь выполнять и применять различные алгоритмы оптимизации, такие как мини-пакетный градиентный спуск, моменты, RMSprop и Adam, а также проверять их сходимость;
— освоите передовые методы составления наборов данных для обучения, разработки и тестирования, а также анализа предвзятости и отклонений;
— сможете реализовывать нейронную сеть в TensorFlow.

 Это второй курс специализации «Глубокое обучение».","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""1244"", ""24382163"", ""20612763""]","[""Andrew Ng"", ""Kian Katanforoosh"", ""Younes Bensouda Mourri""]",BEGINNER,Повышение эффективности глубоких нейросетей,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/13/668720104e11e8a36507b34cf4fa75/CarouselAds_DL_Tuning.png,"[""ru""]",[],deep-neural-network-ru,[],"3 weeks, 3-6 hours per week",rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",mrqRYSOrEeupgAoL5Aws9w,v2.ondemand,"Этот курс покажет, как можно использовать Интернет в качестве источника данных.  Мы рассмотрим скрейпинг, парсинг и чтение веб-данных, а также получение доступа к данным с помощью web API.  Мы будем работать с форматами данных HTML, XML и JSON на Python.  Этот курс будет охватывает главы 11–13 учебника «Python для всех» (Python for Everybody). Чтобы успешно пройти этот курс, вы должны быть знакомы с материалами, изложенными в главах 1–10 учебника и первых двух курсах по данной специализации.  Эти темы включают переменные и выражения, условные операторы (циклы, ветвление и исключения: try/except), функции, структуры данных Python (строки, списки, словари и кортежи), а также манипулирование файлами.  В этом курсе рассматривается Python 3.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""122340""]","[""Charles Russell Severance""]",,Использование языка Python для доступа к веб-данным,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/53/01bee0502a11e58ddc8ff4d6e0523a/pythonnetworkdata_thumbnail_1x1.png,"[""ru""]",[],python-network-data-ru,[],,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",GF224yS0Eeu1hw7_NRI1RQ,v2.ondemand,"Хороший график помогает всем членам команды работать сообща для достижения целей проекта. Бюджет с реалистичными ограничениями на издержки также является неотъемлемой основой любого проекта. В этом курсе вы научитесь планировать и соблюдать временные и финансовые ограничения, чтобы обеспечить успех ваших проектов.

По окончании этого курса вы сможете:
1.       Определять потребности проекта в ресурсах
2.       Раскладывать пакеты работ на операции
3.       Определять, что нужно для оценки продолжительности операции
4.       Определять контрольные события и составлять график контрольных событий
5.       Определять критический путь и рассчитывать временной резерв
6.       Объяснять цель использования опережений и задержек в графике проекта
7.       Оценивать количество и стоимость ресурсов, необходимых для выполнения операций по проекту
8.       Выбирать один из трех наиболее используемых методов оценки затрат для определения бюджета проекта
9.       Использовать матрицу ответственности для распределения обязанностей
10.     Распознавать компоненты плана управления качеством проекта","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""29346301""]","[""Margaret  Meloni,  MBA, PMP""]",,Составление бюджета и графиков проектов,"[""30""]",https://d15cw65ipctsrr.cloudfront.net/b0/7884f0f97f11e683006f4d784414a5/DCE-1200x1200.png,"[""University of California, Irvine""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0c/36cae04a6411e4b7358d1a69be25fa/3_BudgetSchedule_Coursera.jpg,"[""ru""]",[],schedule-projects-ru,[],"4 учебные недели, 2–3 часа в неделю",rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",hiaK8yOpEeu0VRIt9zaPqQ,v2.ondemand,"Кажется, что благодаря растущему количеству программ создать веб-страницу теперь может любой. Но что, если вы действительно хотите понять, как была создана страница? Есть отличные учебники и онлайн-ресурсы для изучения веб-дизайна, но для понимания большинства из этих ресурсов требуются некоторые базовые знания. Этот курс разработан для помощи новичкам, которые хотят обрести уверенность и новые знания.  Мы рассмотрим теорию (что на самом деле происходит, когда вы нажимаете на ссылку на веб-странице?), практику (что нужно знать, чтобы создать свою собственную страницу?) и некоторые упущенные моменты (у вас есть страница, что вам делать с ней?).  На протяжении всего курса особое внимание будет уделяться соблюдению синтаксических стандартов для валидации и семантических стандартов для обеспечения доступности веб-страницы для пользователей с ограниченными возможностями.   Учебник, который мы используем — «Недостающее звено: введение в веб-разработку и программирование» (The Missing Link: An Introduction to Web Development and Programming) Майкла Мендеса — доступен на сайте www.opensuny.org.

Этот курс подойдет самым разным людям, но особенно тем, кто хотел бы получить пошаговое описание базовых вещей. Для этого курса нет обязательных требований, и предполагается, что учащиеся не имеют навыков программирования и опыта работы в сфере ИТ. Курс завершится небольшим финальным проектом, который потребует создания очень простой страницы со ссылками и изображениями. Основное внимание в этом курсе уделяется базовым вещам, а не внешнему виду. Вы можете посмотреть образец окончательной страницы по ссылке http://intro-webdesign.com/html5-plain.html.

Это первый курс специализации «Веб-дизайн для всех». Последующие курсы сосредоточены на востребованных на рынке труда навыках стилизации страницы с помощью CSS3, добавления интерактивности с помощью JavaScript и расширенной стилизации с использованием респонсивного дизайна. Вы можете посмотреть образец сайта с дипломной работы курса по ссылке http://intro-webdesign.com/","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""14130305"", ""122340""]","[""Colleen van Lent, Ph.D."", ""Charles Russell Severance""]",,Введение в HTML5,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/32/b88140502611e5bf374909c194f0db/introhtml_thumnail_1x1.png,"[""ru""]",[],html-ru,[],"3 weeks of study, 2-4 hours/week",rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",UXVPosuvEeuqlxJWCldeLQ,v2.ondemand,"В этом проекте вы научитесь создавать команды и присоединяться к ним с помощью Canva.

Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""10043473""]","[""Bekhruzbek Ochilov, MCSI, PAGRC""]",BEGINNER,Как создавать команды и присоединяться к ним с помощью Canva,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f7/c8c50252464aab925609932bd831f4/1__kXe6BYH28TUhK-8bgGG4A.png,"[""ru""]",[],how-to-create-and-join-teams-using-canva-ru,[],1 час,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",7b35ziMjEeuw5wqfqZhzNw,v2.ondemand,"Цифровая трансформация — это популярная на сегодняшний день тема. Но что это такое и почему она важна для компаний? В этом курсе, разработанном и курируемом ведущими преподавателями Дарденской школы бизнеса при Виргинском университете и экспертами в области глобального управления компании Boston Consulting Group, мы поговорим о цифровой трансформации с двух точек зрения. Сначала мы обсудим темп изменений и насущные потребности, которые он создает для бизнеса. После этого мы рассмотрим контекст трансформации и поговорим о том, как добиться успеха в цифровую эпоху. Затем мы рассмотрим фирменную модель BCG. Она поможет определить ключевые области цифровизации, включая стратегию, основные процессы и технологии.

По окончании этого курса вы сможете:
– давать определение экономике инноваций, технологическим изменениям и подрывам рынка
– оценивать плюсы и минусы современных цифровых технологий, способствующих развитию
– выполнять цифровую трансформацию своей организации на основе модели BCG","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""1400787"", ""3401752"", ""22583591"", ""14206443""]","[""Michael Lenox"", ""Amane Dannouni"", ""Sonja Rueger"", ""Ching Fong Ong""]",BEGINNER,Цифровая трансформация,"[""345"", ""18""]",,"[""BCG"", ""University of Virginia""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a7/28b070e41411e780b8c7184b4798d6/digtrans_logo-01.png,"[""ru""]",[],bcg-uva-darden-digital-transformation-ru,[],"4 учебные недели, 2–3 часа в 1–3 неделю, 3 часа в 4 неделю",rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",SRbRFeNnEeqP4QpOUgoKhQ,v2.ondemand,"Амбициозного видения будущего вашей организации недостаточно. Как вам донести это видение до коллег, чтобы они присоединились к вам? Способность эффективно общаться и убеждать других является ключевым навыком лидера. Традиционные и основанные на здравом смысле модели коммуникации и убеждения часто не отражают сложную природу «влияния». Благодаря структурированным учебным мероприятиям (видео лекции, тесты, подсказки для обсуждения и письменные задания), этот курс поможет вам развить способность к правильному общению в различных ситуационных и культурных контекстах, что сделает вас влиятельным лидером.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""6090"", ""37238180""]","[""Associate Professor Lawrence Ang"", ""Arabella MacPherson""]",,Повествование и влияние: Эффектная коммуникация,"[""254""]",http://coursera-university-assets.s3.amazonaws.com/cf/ed52a39ecb41868171ebaf3e9cfb76/MQ_INT_HOR_RGB_POS---COLOUR.png,"[""Macquarie University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/df/3ba981cd634f968b50964a9eb3534c/Influencing_Communicate-with-impact3.jpg,"[""ru""]",[],communicate-with-impact-ru,[],"6 недель обучения, 3-5 часов в неделю",rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",nskr9yO8EeuBKxKy0yCFlw,v2.ondemand,"Курсы по специализации «Введение в принципы и практику управления проектами» — обязательное условие для получения сертификата по прикладному управлению проектами Калифорнийского университета в Ирвайне (University of California, Irvine, UCI). 

Для успешного осуществления проектов требуется тщательное предварительное планирование. В этом курсе вы узнаете о ключевых ролях и обязанностях руководителя проекта и проектной команды. Вы также научитесь отвечать на некоторые ключевые вопросы заранее, что поможет вам достичь целей проекта: Какие задачи решит этот проект? Почему этот проект важен? Кто получает выгоду от этого проекта? Как мы будем планировать успешные результаты?

По завершении этого курса вы сможете:
1.       Определять ключевые характеристики проекта
2.       Определять основные ограничения проекта
3.       Определять роль и обязанности руководителя проекта
4.       Определять организационные структуры проекта
5.       Понимать определение стейкхолдера проекта
6.       Определять стейкхолдеров проекта
7.       Определять информационные потребности стейкхолдеров проекта
8.       Определять ответственность за управление стейкхолдерами и контроль вовлеченности 
          стейкхолдеров
9.       Определять цель использования устава проекта
10.     Резюмировать ключевые элементы плана проекта
11.     Определять общие источники конфликтов в среде проекта
12.     Описывать разницу между авторитетом и влиянием","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""29346301""]","[""Margaret  Meloni,  MBA, PMP""]",,Инициирование и планирование проектов,"[""30""]",https://d15cw65ipctsrr.cloudfront.net/b0/7884f0f97f11e683006f4d784414a5/DCE-1200x1200.png,"[""University of California, Irvine""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a7/bae34049c711e4986e656ae5bf70c9/2_GearsDrawing_Coursera.jpg,"[""ru""]",[],project-planning-ru,[],"4 недели обучения, 2–3 часа в неделю ",rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",l_9WIZZSEeu46w60Xgbpdw,v2.ondemand,"В этом курсе-проекте продолжительностью 1 час вы получите следующие навыки: вычисление мультипликаторов прибыли и сравнение мультипликаторов для получения справедливой цены акции.

Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.

Контент этого курса не является инвестиционной рекомендацией.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""10043473""]","[""Bekhruzbek Ochilov, MCSI, PAGRC""]",INTERMEDIATE,Оценка акций через анализ сопоставимых компаний,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5a/566db0b0d3407388e8e74e2071fc06/finance-news-newspaper-stocks-102720-scaled.jpeg,"[""ru""]",[],stock-valuation-comparable-companies-analysis-ru,[],2 часа,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],[],TKxAKCnSEeu9XxJAPDtcSw,v2.ondemand,"Данный курс охватывает ключевые знания об алгоритмах и структурах данных, которыми обязан владеть каждый профессиональный программист. При этом акцент сделан на практических областях применения и научном анализе эффективности алгоритмов, реализованных на Java. В части I рассматриваются элементарные структуры данных, а также алгоритмы сортировки и поиска. В части II освещаются алгоритмы обработки графов и строк.

Все компоненты этого курса предоставляются бесплатно. При этом по завершении не выдаются какие-либо сертификаты.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""250165"", ""246867""]","[""Robert Sedgewick"", ""Kevin Wayne""]",INTERMEDIATE,"Алгоритмы, часть I","[""4""]",https://coursera-university-assets.s3.amazonaws.com/0f/c062f1496dedaf429cdf6c5c8ed471/PUsig2.png,"[""Princeton University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e3/b971b05cfe11e89d97d1bd932bfd30/algs4partI-logo.png,"[""ru""]",[],algorithms-part1-ru,[],6 недель учебы по 6—10 часов в неделю.,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert"", ""Specialization""]",gmsPUNGEEeSHqyIAC1AQBw,v2.capstone,"The purpose of the Capstone Project in the Career Success Specialization is for you to apply the methods and techniques you learned in the series of courses to a personal experience, giving you a way to communicate your value to potential employers. You’ll focus your communication, management, negotiation, problem solving, business writing, time management, finance, entrepreneurship, and project management skills into a single project that demonstrates your career readiness.

Upon completing this course, you will be able to:
1.       Apply the methods, techniques and skills you have learned throughout the Specialization to add value, every day, to your organization by effectively gathering, synthesizing, analyzing and presenting information
2.       Develop and hone your critical thinking skills as you evaluate ideas, concepts, approaches and assumptions to arrive at a practical, yet innovative, solution to an organizational problem
3.       Learn to skillfully use a powerful strategic planning tool
4.       Effectively communicate information, ideas, problems and solutions to senior-level decision makers","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""8883335"", ""12056243"", ""12023420"", ""11737707"", ""8887234"", ""29346301""]","[""Patricia  Bravo, MBA, SPHR "", ""  Dave Nagy"", ""Rob Stone, PMP, M.Ed."", ""David Standen, MBA"", ""Sue Robins, M.S. Ed."", ""Margaret  Meloni,  MBA, PMP""]",,Career Success Project,"[""30""]",https://d15cw65ipctsrr.cloudfront.net/b0/7884f0f97f11e683006f4d784414a5/DCE-1200x1200.png,"[""University of California, Irvine""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/79/d7e710348711e59d943f5264eeada5/man-graph-iStock-55740990.jpg,"[""ru""]","[""VzjHg9NfEeS7_CIAC3kWGA""]",career-success-capstone,[],,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",dELbPgj5EeyfCRK_crecDw,v2.ondemand,"В этом курсе-проекте продолжительностью 1 час вы научитесь искать популярные ключевые слова и хэштеги в Twitter.

Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""10043473""]","[""Bekhruzbek Ochilov, MCSI, PAGRC""]",BEGINNER,Ищем популярные ключевые слова и хэштеги в Twitter,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/88/f22e34e5d342b8a9f4dfd4eecf51a7/Twitter-Hashtags.png,"[""ru""]",[],get-more-followers-by-finding-trending-keywords-and-hashtags-ru,[],1 час,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",lIIeRMx0Eeuzqg6ISJ3cWw,v2.ondemand,"В этом проекте вы научитесь создавать дизайны для социальных сетей с помощью Canva на примере магазина сумок, риелтора и супермаркета.

Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""10043473""]","[""Bekhruzbek Ochilov, MCSI, PAGRC""]",BEGINNER,Создаем дизайны для социальных сетей с помощью Canva,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ea/e89720b1d34a6b86f21fb0829bb735/canva-website.png,"[""ru""]",[],how-to-create-social-media-graphics-using-canva-ru,[],1 час,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",Buyg290pEeqf-hJeu5JH5Q,v2.ondemand,"Коммуникация изменилась! Традиционные правила выступления и презентации, координации совещаний, влияния на людей, переговоров и продаж больше не применимы в мире Skype, мессенджеров, видео и телеконференций.  В этом курсе представлен обзор нескольких концепций, каждая из которых может быть темой отдельного курса, и наша цель в том, чтобы дать вам инструменты, которые вы можете использовать и совершенствовать самостоятельно.

По окончании этого курса вы сможете:

•	применять принципы и методы коммуникации с командами как лично, так и виртуально;
• 	использовать научно обоснованный подход для создания эффективных презентаций;
•	улучшить свой стиль коммуникации, чтобы более эффективно убеждать и влиять на других;
•	проводить более эффективные и результативные встречи;
• 	внедрить стратегии, чтобы проводить сложные разговоры и получать позитивные результаты, чтобы ваши собеседники чувствовали, что их ценят и слушают

*** На этом курсе потребуется сделать запись вашего выступления.  Поэтому у вам будет нужен телефон/компьютер с функциональной камерой и микрофоном.***

КОМУ НУЖНО ПРОЙТИ ЭТОТ КУРС?
Всем, кто хочет добиться профессионального и / или лидерского роста.  В этом курсе используются примеры в основном из профессиональной деловой среды.  Если вы хотите продвинуться по карьерной лестнице в своей организации или повысить личную ценность для потенциальных работодателей – этот курс для вас.

ЧТО ДЕЛАЕТ ЭТОТ КУРС ЭФФЕКТИВНЫМ?
Многие образовательные курсы дают описания и объяснения, но в этом курсе мы будем применять и демонстрировать.  Мы обучаем практическим и проверенным концепциям, демонстрируем, как их применять и даем вам возможность попрактиковаться в безопасной и благоприятной среде. В этом курсе будет множество возможностей применить представленные идеи на практике и самим проверить их эффективность.

ПОЧЕМУ ВАМ НУЖНО ПРОЙТИ ЭТОТ КУРС?
Мы бросим вызов существующим идеям о том, что значит быть частью виртуальной команды, и поддержим вас в том, чтобы стать активным участником команды независимо от того, где вы работаете. В этом курсе будьте готовы к тому, что вы почувствуете и заряд энергии, и дискомфорт, как и в большинстве тех случаев, которые приводят к положительному росту и переменам!

Этот курс предлагается Школой непрерывного обучения Университета Торонто (https://learn.utoronto.ca/).","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""27897296""]","[""Ivan Wanis Ruiz""]",BEGINNER,Стратегии коммуникации в виртуальную эпоху,"[""11""]",https://coursera-university-assets.s3.amazonaws.com/e0/c3219157fdcd439fb3b765c4b723e5/UofT-Crest-Wide.png,"[""University of Toronto""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7b/7e63f07ef811e89e12afdbb67ea21e/CourseraLogo.jpg,"[""ru""]",[],communication-strategies-virtual-age-ru,[],"6 недель обучения, 1–2 часа в неделю",rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",bsfOy1l3EeqQsxLDzNkxQw,v2.ondemand,"Сегодня в управлении водными ресурсами необходимо решать целый ряд новых проблем, таких как изменение климата или влияние деятельности человека на окружающую среду. Представителям как государственного, так и частного сектора, занятым в этой сфере, требуются новые знания, позволяющие системно управлять водопользованием. 

Цель данного онлайн-курса — обеспечить понимание проблем, связанных с управлением водными ресурсами. Прежде всего, в рамках курса дается определение понятия ресурсов и, в частности, водных ресурсов, водопользования, связанных с ними видов деятельности, а также возможных конфликтов. Подробно рассматривается тема управления водными ресурсами, проводится анализ применимых видов права и норм, таких как разработка системы межотраслевого регулирования и управления на уровне речных бассейнов. 

По окончании курса вы: 
1) научитесь выявлять основные проблемы и анализировать стратегии управления водными ресурсами;
2) будете располагать знаниями, необходимыми для понимания факторов (экологических, институциональных и политических), влияющих на водные ресурсы и требующих соответствующей адаптации стратегий управления.

Курс разработан Женевским центром водных ресурсов при финансовой поддержке Швейцарского агентства по развитию и сотрудничеству (SDC). Помимо научных сотрудников  Женевского университета, в курсе принимают участие эксперты из других университетов и исследовательских центров, а также практикующие специалисты, которые на постоянной основе вовлечены в процесс управления водными ресурсами. 

Данный онлайн-курс предназначен для всех, кому интересна тема водных ресурсов. Для прохождения программы не требуется наличие специального образования. Идеи, представленные в рамках курса, применимы к разным регионам и уровням управления.

Курс также доступен на французском языке с субтитрами на английском по ссылке: https://www.coursera.org/learn/watermanagement.","[{""subdomainId"": ""law"", ""domainId"": ""social-sciences""}]","[""14504897"", ""14504924""]","[""Christian Bréthaut"", ""Géraldine Pflieger""]",,Политика и управление водными ресурсами,"[""49""]",https://coursera-university-assets.s3.amazonaws.com/85/c23dd1649ff86f49b24903aab7c7c1/UNIGE-Logo-ClassPages.png,"[""University of Geneva""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c1/58698040c511e5a419a12a63a0de52/GestionEau-1200x1200.jpg,"[""ru""]",[],russian-water-management,[],"5 semaines d'étude, 1-3 heures / semaine",rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",zO_GZnOREeuBTg7vUdMe9w,v2.ondemand,"В этом курсе-проекте продолжительностью 1 час вы получите следующие навыки: вычислять доходность к риску с помощью коэффициента Трейнора и вычислять стоимость под риском для инвестиционного портфеля.

Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""10043473""]","[""Bekhruzbek Ochilov, MCSI, PAGRC""]",INTERMEDIATE,Управление инвестиционными рисками,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/57/f566143b9d46ecaec5b530932111cb/pexels-burak-k-187041.jpg,"[""ru""]",[],investment-risk-management-ru,[],1 час,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",paEOTe7sEeuGHRJn9B1cSQ,v2.ondemand,"В этом курсе-проекте продолжительностью 1 час вы получите следующие навыки: планирование твитов и создание контентного календаря для твитов.

Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""10043473""]","[""Bekhruzbek Ochilov, MCSI, PAGRC""]",BEGINNER,Создаем контентный календарь для твитов,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f1/1fe381b8564c32a4a3c7deb95737aa/month-of-tweet-ideas.png.twimg_.1920-5e8538be9ef3c-768x593.png,"[""ru""]",[],sozdayem-kontentnyy-kalendar-dlya-tvitov,[],1 час,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",_4lmjyS0Eeuy9Q5OwZDn7w,v2.ondemand,"Развивайте способности мыслить стратегически, анализировать конкурентную среду, а также давать рекомендации по позиционированию компании и созданию ценности. В этом курсе, разработанном Дарденской школой бизнеса при Виргинском университете, опытные преподаватели помогут вам изучить теорию и основы, позволяющие заложить фундамент успешной бизнес-стратегии, и предоставят инструменты, необходимые для ее понимания: анализы SWOT, конкурентов, среды, пяти сил, способностей, а также карты стратегических групп.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""1400787"", ""14790769""]","[""Michael Lenox"", ""Jared Harris""]",BEGINNER,Основы бизнес-стратегии,"[""18""]",http://coursera-university-assets.s3.amazonaws.com/0f/80aa19dc384a7482ea6f428601255d/uva_primary_rgb.png,"[""University of Virginia""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/15/e7b0a00f2d11e78aeac78afc3a0bd6/FBSLogo.jpg,"[""ru""]",[],uva-darden-foundations-business-strategy-ru,[],"4 учебные недели, 2–5 часов в неделю",rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",qk3VXN0kEeqEww6E09ciyw,v2.ondemand,"ИИ предназначен не только для инженеров. Если вы хотите, чтобы ваша организация стала лучше в использовании ИИ, то этот курс поможет пройти курс всем, особенно вашим коллегам не из технической среды. 

В этом курсе вы узнаете:

- Значение общей ИИ-терминологии, включая нейронные сети, машинное обучение, глубокое обучение и обработку данных
- Что ИИ реально «может» и «не может» сделать
- Как определить возможности применения ИИ дл решения проблем в вашей организации
- Что такое создание машинного обучения и проектов по обработке данных
- Как работать с командой разработчиков ИИ и разработать стратегию использования ИИ в вашей компании
- Как вести этические и общественные обсуждения об ИИ

Хотя этот курс, в основном, не технический, инженеры также могут пройти этот курс, чтобы узнать бизнес-аспекты ИИ.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""1244""]","[""Andrew Ng""]",BEGINNER,Искусственный Интеллект (ИИ) для всех,"[""475""]",http://coursera-university-assets.s3.amazonaws.com/1b/bdf48065584cbe8e096669d9dd4852/LogoFiles_DeepLearning_Coursera_200x48.png,"[""DeepLearning.AI""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b2/65f2d3143d48b29c346332efac1118/AI4ESquareLogo.png,"[""ru""]",[],ai-for-everyone-ru,[],"4 недель обучения, 2-3 часа в неделю",rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",GpdyBYhLEeye3A4xsW_s2Q,v2.ondemand,"В этом курсе-проекте продолжительностью 1 час вы получите следующие навыки: использование Bloomberg для доступа к акциям и финансовым данным; анализ и интерпретация биржевых и финансовых данных; использование функции фондового рынка Bloomberg - DES, GP, ANR, FA, MODL, EQRV.

Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.

Обязательным для начала данного проекта является доступ к терминалу Bloomberg.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""10043473""]","[""Bekhruzbek Ochilov, MCSI, PAGRC""]",INTERMEDIATE,Анализ акций и отчетности Apple с помощью Bloomberg Terminal,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f3/f1cbe921f3408fbb06173039cb94b4/280c65469d4dcef7901b040b09d56f1e.png,"[""ru""]",[],analiz-akciy-i-otchetnosti-apple-s-pomoschyu-bloomberg-terminal,[],1 час,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",GJoxpzdcEeyO8BKA-INK0w,v2.ondemand,"В этом курсе-проекте продолжительностью 1 час вы научитесь пользоваться Twitter Ad Manager и смотреть результаты ваших рекламных кампаний, а также получать аналитику по вашему аккаунту в Twitter.

Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""10043473""]","[""Bekhruzbek Ochilov, MCSI, PAGRC""]",BEGINNER,Как пользоваться Twitter Ad Manager и смотреть результаты,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c6/2fd789c85c4fbda1f11bdad2878862/Screen-Shot-2021-10-28-at-03.01.41.png,"[""ru""]",[],kak-polzovatsya-twitter-ad-manager-i-smotret-rezultaty,[],1 час,rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",YVJtjN5gEeqiLQ5Lp_T0Fw,v2.ondemand,"В этом первом курсе по специализации «Навыки Excel для бизнеса» вы освоите основы Microsoft Excel. За шесть недель вы научитесь перемещаться по интерфейсу пользователя Excel, выполнять базовые вычисления с помощью формул и функций, профессионально форматировать электронные таблицы и создавать визуализацию данных с помощью диаграмм и графиков.

Независимо от того, научились ли вы самостоятельно и хотите заполнить пробелы для повышения эффективности и производительности, или вы никогда не пользовались Excel, этот курс заложит надежную базу для того, чтобы вы стали уверенным пользователем и смогли развить более продвинутые навыки на последующих курсах. 

Мы собрали великолепную команду преподавателей, которая будет с вами на каждом этапе пути. Широкий спектр практических тестов и заданий предоставит отличные возможности для развития ваших навыков. Прорабатывайте каждое задание вместе с нашей командой, и вы удивитесь тому, насколько далеко вы продвинулись за короткий срок. 

Программы для работы с электронными таблицами являются одними из самых распространенных программ, используемых на рабочих местах по всему миру. Научившись уверенно работать с этим программным обеспечением, вы добавляете ценный актив в свое профессиональное портфолио. Количество вакансий, требующих цифровых навыков, растет гораздо быстрее, чем количество вакансий, не требующих их. Опередите остальных претендентов, добавив в свое профессиональное портфолио навыки работы в Excel.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""25910599"", ""5180246"", ""24285729""]","[""Nicky Bull"", ""Professor Yvonne Breyer"", ""Assoc Prof Prashan S. M. Karunaratne""]",BEGINNER,Навыки Excel для бизнеса: Основы,"[""254""]",http://coursera-university-assets.s3.amazonaws.com/cf/ed52a39ecb41868171ebaf3e9cfb76/MQ_INT_HOR_RGB_POS---COLOUR.png,"[""Macquarie University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e9/14e752193046c78641bb4a48a01e57/ICON-1.jpg,"[""ru""]",[],excel-essentials-ru,[],"6 недель обучения, 2-4 часа в неделю",rTreY28jCbXoqwQMd,EmIe104lYeMFgVJlH
[],"[""VerifiedCert""]",DMkcgX7LEeyRTg6FtAvfBw,v2.ondemand,"À la fin de ce projet, vous aurez toutes les compétences de base pour intégrer des applications dans votre Dashboard Hootsuite. Vous serez en mesure de découvrir les différents types d’applications que vous pouvez installer et vous pourrez les intégrer facilement et rapidement à votre tableau de bord sur Hootsuite.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""26958800""]","[""Sara Nefzaoui""]",BEGINNER,Intégrer des applications dans votre Dashboard Hootsuite,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/17/30c95fc33c45898c483de82f07f838/Diseno-sin-titulo-18-.png,"[""fr""]",[],integrer-applications-dashboard-hootsuite,[],2 heures,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",rHiQE2gqEeyxLxJK4mLviw,v2.ondemand,"Dans ce projet guidé d'une heure, vous apprendrez à choisir un type de publication en fonction de l'engagement souhaité avec Facebook for Business. Vous apprendrez les étapes pour créer une page d'entreprise facebook. Ce projet guidé comprendra également des explications sur les différents aspects liés aux stratégies marketing et aux publications qui attirent un public plus large.
À la fin de ce projet, vous pourrez créer une page d'entreprise, choisir la vôtre et suivre certaines publications de stratégies marketing afin de toucher un public plus large.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""75710731""]","[""Lara Muqashar""]",BEGINNER,Choisissez une publication basée sur l'engagement avec Facebook pour les entreprises,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/99/06d3b2e2124654850790445ebcd1ff/WhatsApp-Image-2021-12-30-at-12.08.31-AM.jpeg,"[""fr""]",[],choisissez-une-publication-basee-sur-l-engagement-avec-facebook-pour-entreprises,[],2 heures,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",rS28ZxGNEe26hQ4jkCdYhQ,v2.ondemand,"Dans ce projet guidé d'une heure, vous apprendrez à créer un tableau de bord marketing sur HubSpot, à gérer vos rapports marketing et à utiliser les meilleurs rapports marketing sur votre tableau de bord marketing.
À la fin de ce projet, vous serez en mesure de créer vos tableaux de bord marketing. Vous pourrez également gérer vos rapports marketing et utiliser les meilleurs rapports marketing sur votre tableau de bord marketing HubSpot.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""75710731""]","[""Lara Muqashar""]",BEGINNER,Créer un tableau de bord d'analyse marketing à l'aide de Hubspot,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/75/35f1b5e18e4d93a807970b16fe65a5/images-18-.png,"[""fr""]",[],creer-un-tableau-de-bord-d-analyse-marketing-a-l-aide-de-hubspot,[],2 heures,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",06EmILV2EeWq2A7HIftJ6w,v2.ondemand,"Ce cours d'introduction aux probabilités a la même contenu que le cours de tronc commun de première année de l'École polytechnique donné par Sylvie Méléard.

Le cours introduit graduellement la notion de variable aléatoire et culmine avec la loi des grands nombres et le théorème de la limite centrale. 

Les notions mathématiques nécessaires sont introduites au fil du cours et de nombreux exercices corrigés sont proposés.

Ce cours propose aussi une introduction aux méthodes de simulations des variables aléatoires comme la méthode de Monte Carlo. Des expériences numériques interactives sont également mises à votre disposition pour vous permettre de visualiser diverses notions.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""1914201"", ""2593255"", ""2788876""]","[""Sylvie Méléard"", ""Jean-René Chazottes"", ""Carl Graham""]",,Aléatoire : une introduction aux probabilités - Partie 2,"[""66""]",http://coursera-university-assets.s3.amazonaws.com/28/0cf38a7f2b40f2b029ee727645b6b1/Logo-horizontal-Pantone_noborder_h48.png,"[""École Polytechnique""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ae/502b13026cc6efca7aa39dac4de841/logo-0.jpg,"[""fr""]",[],probabilites-2,[],2-3 hours/week,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",JV2US53WEeW4xRJkiwxnYw,v2.ondemand,"Le cours porte sur les usages généralement admis en matière de rédaction de contrats commerciaux, dans leur forme continentale ou anglo-saxonne. Les principales clauses de ces contrats sont examinées, à l’aide d’exemples tirés de contrats classiques.","[{""subdomainId"": ""law"", ""domainId"": ""social-sciences""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""6103741""]","[""Sylvain Marchand""]",,Rédaction de contrats,"[""49""]",https://coursera-university-assets.s3.amazonaws.com/85/c23dd1649ff86f49b24903aab7c7c1/UNIGE-Logo-ClassPages.png,"[""University of Geneva""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d2/3814c08b2d11e8ac104b0197f52bcc/RedactionContrat-MOOC-1200x1200.jpg,"[""fr""]",[],contrats,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",nHq9Y2efEeexBQ7xGbB4Dg,v2.ondemand,"Au-delà des relations internationales classiques, le processus de mondialisation mobilise quantité d'acteurs économiques, sociaux et culturels, individuels et collectifs,  qui agissent dans l'espace mondial. Nous étudions ensemble, Africains, Latino-américains et Européens, comment il en dérive de nouvelles relations internationales. Ce cours prend sa source dans les approches sociologique et historique françaises des relations internationales, comme celles promues en Afrique et en Amérique latine.
Bertrand Badie, Marie-Françoise Durand, Delphine Allès, Atta El Battahani, Carlos Milani, Gaïdz Minassian, Papa Samba Ndiaye, Karen Smith, Folashadé Soule-Kohndou.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""10499203"", ""9848589""]","[""Bertrand Badie"", ""Marie-Françoise Durand""]",BEGINNER,"Afrique et mondialisation, regards croisés","[""210""]",,"[""Sciences Po""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/dc/0fc300be4911e78dae499ce9d78d7c/mooc-afrique-fr_logo-v2.jpg,"[""fr""]",[],afrique-mondialisation,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",hlhVA9e5EeyQvgo7cUCLcw,v2.ondemand,"Dans ce projet guidé d'une heure, vous allez comprendre Facebook Analytics en analyser la suppression de cet outil, ensuite étudier l'entonnoir de vente Facebook avec ses parties principales en parlant de quoi il se diffère d'un entonnoir de marketing.
À la fin de ce projet, vous aurez appris à développer votre entreprise en élaborant un entonnoir de vente Facebook.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""95824121""]","[""Zahra Kamaledin""]",BEGINNER,Comment créer un entonnoir avec Facebook Analytics,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/93/f156612cc4461895f78c93216a6016/images-8-.png,"[""fr""]",[],comment-creer-un-entonnoir-avec-facebook-analytics,[],2 heures,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",3x9UKw40EeeYSwoRrxflRA,v2.ondemand,"Une démarche de reporting extra-financier ne se limite pas à la production contraignante et fastidieuse d’un rapport de 300 pages. Même s’il est vrai que ce rapport est devenu obligatoire pour beaucoup d’entreprises, le reporting extra-financier est avant tout une occasion d’aller à la rencontre de ses parties prenantes pour comprendre les effets de ses activités dans leur globalité et pour mieux les gérer, d’une façon plus responsable aux plans social et environnemental mais aussi plus durable économiquement. Voir plus loin que la loi et faire de cette démarche un levier de performance, est bénéfique pour toute l'entreprise !

L’originalité de ce MOOC ? Nous vous proposons une expérience d’apprentissage très riche basée à la fois sur l'expertise de spécialistes du sujet et sur l'expérience d'une quinzaine d'entreprises qui partageront avec vous leur expérience du sujet. Vous retrouverez notamment à chaque épisode les directrices RSE de L'Oréal, Eurazéo et Atos et un expert de l'équipe Développement durable de Deloitte, le partenaire de ce MOOC.

Que vous soyez un étudiant soucieux d’acquérir un socle solide de connaissances sur le sujet, un salarié d’entreprise désireux de mieux dialoguer avec l’équipe RSE, ou tout simplement un citoyen convaincu que les enjeux RSE sont au cœur des modèles de développement à venir, ce MOOC est pour vous !

Bienvenue à tous et bon parcours !
Thierry Sibieude et l'équipe pédagogique","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""12799868""]","[""Thierry Sibieude""]",BEGINNER,Reporting extra-financier et stratégie RSE,"[""223""]",https://coursera-university-assets.s3.amazonaws.com/a7/257bc0133a11e4b8731b951158c865/logoessec13548.png,"[""ESSEC Business School""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/dd/3e1d604df211e8bb6ae5b75503c73f/vignette-MANAGEMENT-ET-SOCIETE.jpg,"[""fr""]",[],reporting-extra-financier-strategie-rse,[],"4 semaines, 2 à 8 heures par semaine ",yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert"", ""Specialization""]",cA9rxCrHEeyavRI3rIvGvQ,v2.ondemand,"Ce cours est le septième du Google Data Analytics Certificate. Ces cours vous permettront d’acquérir les compétences dont vous avez besoin pour postuler les emplois d’analyste de données de niveau junior. Dans ce cours, vous découvrirez le langage de programmation R. Vous découvrirez comment utiliser RStudio, l'environnement qui vous permet de travailler avec R. Ce cours abordera également les applications logicielles et les outils spécifiques à R, tels que les packs R. Vous découvrirez comment R vous permet de nettoyer, d'organiser, d'analyser, de visualiser et d’élaborer des rapports de données de manière nouvelle et plus efficace.  Des analystes de données actuellement chez Google vous instruiront et vous fourniront des moyens pratiques d’accomplir les tâches courantes des analystes de données, avec les meilleurs outils et ressources.

Les participants qui terminent cette formation certifiante seront préparés à postuler des emplois d’analyste de données de niveau junior. Aucune expérience préalable n’est nécessaire.

D’ici la fin de ce cours, vous :
 - Examinerez les avantages de l'utilisation du langage de programmation R.
 - Découvrirez comment utiliser RStudio afin d’appliquer R à votre analyse. 
 - Découvrirez les concepts fondamentaux associés à la programmation dans R. 
 - Examinerez le contenu et les composants des packs R, y compris le pack Tidyverse.
 - Comprendrez les trames de données et leur utilisation dans R.
 - Découvrirez les options de génération de visualisations dans R
 - Apprendrez R Markdown pour documenter la programmation R.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,Analyse de données avec la programmation R,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/70/84c9d4f0084d7cb41c9c3c2b5e3858/DA7-Data-Analysis-with-R-Programing.png,"[""fr""]","[""He15yK1zEe2VjgruKy1PNQ"", ""gqM_HzhIEeygcBLCZu413w""]",analyse-de-donnees-avec-la-programmation-r,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",4UY38bp4EeyjBhKbu4asXQ,v2.ondemand,"À la fin de ce projet, vous aurez toutes les compétences de base pour créer des infographies professionnelles avec Piktochart, logiciel et outil en ligne de création et d’édition d’infographies et de visuels Marketing en tous genres. Vous serez capable de découvrir en détail les différentes fonctionnalités de la plateforme, et serez en mesure d’utiliser ses outils pour créer des infographies compréhensibles et ludiques.
Ce projet est destiné aux débutants, aux personnes qui n’ont jamais utilisé Piktochart pour créer des infographies. Il est idéal pour ceux et celles qui souhaiteraient utiliser Piktochart pour leurs projets professionnels.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""26958800""]","[""Sara Nefzaoui""]",BEGINNER,Créez des infographies avec Piktochart,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b2/53358745d44f29b2a54c844b043e42/Pitch-Deck-16-.png,"[""fr""]",[],creez-infographies-avec-piktochart,[],2 heures,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],[],FY_7eye2EeqBhw7fRSQ3Dw,v2.ondemand,"Dans ce cours, 50 éminents universitaires du monde entier examineront des questions et des problèmes liés à l’antisémitisme, notamment : qu’est-ce que l’antisémitisme ? Comment a-t-il évolué au cours de l’histoire ? Pourquoi est-il présent dans tant de cultures diverses, et même parmi des idéologies opposées ? Qu’est-il arrivé à l’antisémitisme après la Shoah? Comment l’antisémitisme s’exprime-t-il aujourd’hui et quels sont les principaux domaines dans lesquels il se manifeste ?","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""42400767"", ""32129997"", ""42403544""]","[""Dr. Yossi Kugler"", ""Dafna Dolinko"", ""Dmitry Kolotilenko""]",BEGINNER,L’antisémitisme : De ses origines à nos jours,"[""262""]",http://coursera-university-assets.s3.amazonaws.com/89/c3f6a0b67c11e68d5cb7bf0e81accd/logo320pixel.png,"[""Yad Vashem ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/35/c7bc511a8947c38a5bfd6425460ad3/Course-Image-800.jpg,"[""fr""]",[],antisemitisme,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",uqxpJgwkEeyNuxKAzhaylw,v2.ondemand,"Dans bien des services informatiques, il existe des divergences entre les avantages souhaités par les développeurs, à savoir l'agilité, et ceux des opérateurs, qui recherchent la stabilité. L'ingénierie de la fiabilité des sites (SRE) permet à Google d'aligner les mesures incitatives entre le développement et les opérations, et de proposer une assistance à la production critique. Adopter des pratiques techniques et culturelles de l'ingénierie SRE permet d'améliorer la collaboration entre les équipes métiers et informatiques. Ce cours présente les pratiques clés de l'ingénierie SRE façon Google, ainsi que le rôle déterminant que jouent les responsables IT et les chefs d'entreprise dans la réussite de son adoption au sein de leur organisation.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Developing a Google SRE Culture en Français,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ab/ed9ce4161544dabb14b4918997e425/DevOps_logo-01-copy.png,"[""fr""]",[],developing-a-google-sre-culture-fr,[],"2 weeks of study, 2-4 hours/week",yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",I9ur2FPvEeuoIw4T1lBSSQ,v2.ondemand,"Ce cours de langue et culture françaises de niveau avancé s’adresse à toutes les personnes qui parlent et/ou apprennent le français et souhaitent développer une meilleure maîtrise des subtilités de la langue et mieux connaître les cultures française et francophone. Ce MOOC constitué de 6 semaines thématiques propose en effet une immersion langagière et culturelle à travers l’art, la littérature, le cinéma mais aussi la politique, les médias et les sciences. Chaque semaine est composée de nombreuses vidéos, de lectures, de visites virtuelles de musées, de débats sur le forum et de quiz. Ces activités permettront à chaque participant ou participante d’approfondir ses connaissances sur la culture française et son histoire, et d’en comprendre les enjeux contemporains tout en améliorant sa pratique du français à l’écrit comme à l’oral.
Ce cours de niveau avancé (C1-C2) a été réalisé par la même équipe que le MOOC de français de niveau intermédiaire « Étudier en France » (B1/B2) et il en constitue la suite.

Semaine 1 : Paris, capitale culturelle
Semaine 2 : Les grands figures qui ont marqué l'histoire
Semaine 3 : Sciences et techniques en France
Semaine 4 : Politique et institutions françaises
Semaine 5 : Débats contemporains en France
Semaine 6 : La France et le français dans le monde","[{""domainId"": ""language-learning"", ""subdomainId"": ""other-languages""}]","[""8342848"", ""10435642"", ""10441604""]","[""Isabelle Schaffner"", ""Julie André"", ""Olivier Bertrand""]",ADVANCED,"Comprendre la France, Advanced French Language & Culture ","[""66""]",http://coursera-university-assets.s3.amazonaws.com/28/0cf38a7f2b40f2b029ee727645b6b1/Logo-horizontal-Pantone_noborder_h48.png,"[""École Polytechnique""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5c/228542ec55455ea2b1cd6eb50808f0/vignette-Coursera-FLE-C1.jpg,"[""fr""]",[],comprendre-la-france-advanced-french-language-culture-c1-c2,[],"6 semaines d'étude, environ 10 heures/semaine",yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",RVHxrhGZEe2K4gqJREL8qw,v2.ondemand,"Dans ce projet guidé d'une heure, vous apprendrez à démarrer avec le tableau de bord Hootsuite. Vous saurez également comment intégrer les plateformes de médias sociaux telles que Facebook et Twitter au tableau de bord Hootsuite. Vous saurez également comment intégrer Google Drive et l'application Slack au tableau de bord Hootsuite.
À la fin de ce projet, vous pourrez démarrer avec le tableau de bord Hootsuite, intégrer les plateformes de médias sociaux, Google Drive et l'application Slack au tableau de bord Hootsuite.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""75710731""]","[""Lara Muqashar""]",BEGINNER,Comment intégrer des applications dans le tableau de bord Hootsuite,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a6/9d4df1e0c6438f9668602ad3e47745/download-60-.png,"[""fr""]",[],comment-integrer-des-applications-dans-le-tableau-de-bord-hootsuite,[],2 heures,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",VOh9VY30Eemy8BJY1bt4Jg,v2.ondemand,"L'AVC est une urgence médicale qui dépend du temps. Dans l'AVC ischémique, le type d'AVC le plus courant, le premier objectif est de rétablir la circulation cérébrale par un traitement thrombolytique avec rTPA intraveineux et, s'il n'est pas efficace ou s'il existe des contre-indications médicales, par traitement endovasculaire. Dans l'AVC hémorragique, il existe également des traitements spécifiques qui peuvent améliorer son pronostic. 

L'avantage de toutes les thérapies disponibles dans l'AVC aigu est d'autant plus grand que le traitement est commencé tôt. C'est pourquoi l'organisation de systèmes Code Ictus coordonnés entre les systèmes d'urgence médicale et les hôpitaux est cruciale pour obtenir le meilleur traitement possible des patients victimes d'un AVC aigu de manière rapide.

De plus, les échelles d'évaluation neurologique facilitent la reconnaissance de l'AVC aux niveaux hospitalier et préhospitalier et fournissent de précieux renseignements sur la gravité de l'AVC. En ce sens, l'échelle RACE est une échelle préhospitalière validée comme outil d'identification des patients ayant subi l'AVC le plus grave, dont on soupçonne une occlusion vasculaire, candidats à un traitement endovasculaire.

Le profil  de ce cours s'adresse à tous les professionnels de la santé travaillant dans le domaine de l'urgence","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""32656740"", ""40092323"", ""40103138""]","[""Montse Gorchs Molist"", ""Natalia Perez de la Ossa"", ""Frances Xavier Jiménez Fabregas""]",INTERMEDIATE,ÉCHELLE RACE: Dépistage préhospitalier de l’AVC impliquant une occlusion de gros vaisseaux cérébraux,"[""212""]",https://coursera-university-assets.s3.amazonaws.com/9d/0e7cc0c5ab11e5a356099ff1dd292f/marca_pos_rgb-200x48-HI.png,"[""Universitat de Barcelona""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cf/122aebeda6404da6ba736f4dc33fc1/RACE-SCALE_2.jpg,"[""fr""]",[],prestorace-fr,[],"2 semaines d'étude, entre 2 et 3 heures par semaine",yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",gGUrOkPcEeieog71x_JLZg,v2.ondemand,"Comment se développent les enfants?  
Quelles sont leurs compétences perceptives, affectives et sociales ? 
Quels sont leurs besoins ? 

Telles sont les questions auxquelles répond ce MOOC. Nous vous apporterons des informations claires, validées scientifiquement et accessibles, que vous soyez parents, grands-parents, étudiants, professionnels de la petite enfance ou tout simplement désireux de mieux comprendre le développement des enfants. 
	
Vous allez découvrir que l’enfant, dès sa naissance, est déjà une personne avec de nombreuses capacités et connaissances,  générales ou spécifiques, qui apprend d’une manière constante, rapide et efficace. 

Nous explorerons ensemble les compétences précoces des enfants étudiées en psychologie. Nous parcourrons notamment le développement de la sécurité affective, du contrôle de soi, des émotions, du jeu et de la créativité. Nous aborderons également la conscience de soi des jeunes enfants, ainsi que le développement de l’empathie, du sens moral et de l’équité. Pour finir, nous nous pencherons sur la question de la parentalité, car comme le disait Winnicott ""un enfant seul ça n'existe pas"". 

N'attendez plus, rejoignez ce MOOC pour partir à la découverte du monde incroyable du développement psychologique du jeune enfant.","[{""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""42697907""]","[""Edouard Gentaz""]",BEGINNER,Développement psychologique de l'enfant,"[""49""]",https://coursera-university-assets.s3.amazonaws.com/85/c23dd1649ff86f49b24903aab7c7c1/UNIGE-Logo-ClassPages.png,"[""University of Geneva""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cb/ae8300844d11e885db99739de8c093/DeveloppementEnfant-MOOCs-1200x1200.jpg,"[""fr""]",[],enfant-developpement,[],"7 semaines d'études, à raison d'environ 2 heures par semaine",yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",5Ek-BHjkEeWfrQ7ngHMGEQ,v2.ondemand,"Ces quelques leçons de mécanique lagrangienne font partie d'un cours de formation de base en mécanique Newtonienne présenté sous la forme d'un MOOC en quatre parties : 

1. Lois de Newton
https://www.coursera.org/learn/mecanique-newton

2. Mécanique du point matériel
https://www.coursera.org/learn/mecanique-point-materiel

3. Mécanique du Solide Indéformable
https://www.coursera.org/learn/mecanique-solide

4. Mécanique Lagrangienne

Le formalisme de Lagrange permet une résolution efficace de problèmes complexes de mécanique. Il permet aussi d'apporter un éclairage plus fondamental sur les lois de conservation (théorème de Noether). A titre d'illustration de la méthode de Lagrange, on traitera le problème très important des oscillateurs harmoniques couplés, exprimé comme un problème de valeurs propres et de vecteurs propres. On termine avec un formalisme permettant d'analyser les  résonances paramétriques, notion illustrée par l'expérience montrant la stabilité d'un pendule inversé forcé.","[{""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""2489806""]","[""Jean-Philippe Ansermet""]",,Mécanique Lagrangienne,"[""16""]",http://coursera-university-assets.s3.amazonaws.com/9f/ef20ba7f7f457db079ed5231bde306/EPFL-Logo-200-48.png,"[""École Polytechnique Fédérale de Lausanne""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fb/1b7d107cac11e580091b6355c7fe1c/Meca-Lagrange-v1-600x340-72dpi.jpg,"[""fr""]",[],mecanique-lagrangienne,[],4 hours/week,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",F61nq4d7Eeye3A4xsW_s2Q,v2.ondemand,"Ce projet vous permet de créer des diagrammes de Buyer Persona avec Creately. Vous découvrirez la plateforme Creately, logiciel en ligne de conception de diagrammes. Vous comprendrez les diverses fonctionnalités de la plateforme et serez capables de créer des diagrammes personnalisés et professionnels décrivant les profils d’acheteurs idéaux pour votre entreprise. Vous apprendrez à utiliser Creately pour créer des diagrammes de profil d’acheteur professionnels. Ce projet est destiné aux petites et moyennes entreprises.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""26958800""]","[""Sara Nefzaoui""]",BEGINNER,Créer des diagrammes de Buyer Persona avec Creately,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0f/8081d8e19d44bdae3b7bd9aa2cd8d6/Diseno-sin-titulo-20-.png,"[""fr""]",[],creer-diagrammes-buyer-persona-creately,[],2 heures,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",nLVn4C3-EeyRZwruZfI_ww,v2.ondemand,"À la fin de ce projet, vous aurez toutes les compétences de base pour créer des visuels attrayants et professionnels pour une boutique Facebook en utilisant les divers outils de design graphique proposés par Canva, outil en ligne de création et d’édition de visuels Marketing. Grâce à ce projet, vous serez en mesure de créer facilement du contenu de qualité pour une boutique Facebook grâce aux modèles personnalisables de Canva.","[{""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}, {""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""26958800""]","[""Sara Nefzaoui""]",BEGINNER,Créer des visuels pour une boutique Facebook avec Canva,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f7/9f8eb04a084bfe80d3861a2fb27623/DES-VISUELS-POUR-UNE-Boutique-Facebook-1-.png,"[""fr""]",[],creer-visuels-boutique-facebook-canva,[],2 heures,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert"", ""Specialization""]",AMXyglgXEfCekhJDthqyWw,v2.ondemand,"Le cours ""IA générative : découvrir les concepts fondamentaux"" est le deuxième du parcours de formation ""Leaders en IA générative"". Ce cours vous permettra de découvrir les concepts fondamentaux de l'IA générative en examinant les différences entre l'IA, le ML et l'IA générative. Vous comprendrez également comment l'IA générative permet de relever les défis métier à l'aide des différents types de données. Enfin, vous découvrirez les stratégies de Google Cloud pour gérer les limites des modèles de fondation et quelles sont les grandes problématiques du développement et du déploiement d'une IA responsable et sécurisée.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,IA générative : découvrir les concepts fondamentaux,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ba/6e6acca861471a94fa0c34d66cb994/Logo-Image_GC-Projects-1-.png,"[""fr""]","[""bdz7kb0XS8K7hbuxuH8gKg""]",gen-ai-unlock-foundational-concepts-fr,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",zRmE90vdEeyXGRIPRJ5i_Q,v2.ondemand,"Dans ce projet guidé d'une heure, vous apprendrez c'est quoi Twitter , comment on peut  créer un vidéo tweet , comment on peut le t publier  ,en plus des conseils  pour avoir plus d’abonnés 
À la fin de ce projet, vous aurez appris à comment avoir plus d'abonné sur Twitter en publiant des vidéos tweets.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""95802556""]","[""Nour Kheireddine""]",BEGINNER,Avoir plus d’abonnés sur Twitter en publiant un vidéo tweet,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/79/ed1da400b14e40a1fd08e15627cc3c/twitter.jpeg,"[""fr""]",[],avoir-plus-d-abonnes-sur-twitter-en-publiant-des-videos-tweets,[],2 heures,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",yHXdkFIzEeyzTBIwE4Z6fQ,v2.ondemand,"Depuis le milieu des années 2000, les données ont fait une entrée fracassante dans le champ urbain, transformant les manières dont les villes sont gouvernées à l’ère du numérique. Que ce soit au niveau des coalitions d’acteurs, des instruments, des politiques ou des modes de régulation, la donnée impacte la façon dont la vie urbaine se trouve ordonnée. 

En 4 séances, ce mooc explore les transformations de la gouvernance urbaine à l’ère du numérique et des données.  Qu’est-ce que la donnée fait à la gouvernance urbaine ? Qui gouverne dans une ville investie par le big data ? Les plateformes sont-elles ingouvernables ? Comment gouverne-t-on avec des algorithmes ? Quelle place revient aux citoyens dans cette ville numérique ? Peut-on encore être anonyme en ville ? 

Ce cours vous permettra de vous repérer parmi l’archipel d’acteurs et d’outils qui font le gouvernement urbain à l’ère du numérique et des données ; de décrypter les ressorts des transformations à l’oeuvre dans l’organisation et les pratiques des administrations territoriales; d’analyser les évolutions contemporaines des marchés de service urbain ; et de comprendre les enjeux qui affectent la fabrique et la mise en oeuvre des politiques urbaines lorsque la donnée arrive en ville.

Ce MOOC est proposé par la chaire Villes et numérique de l'Ecole urbaine de SciencesPo, soutenue par La Poste, RTE et la Caisse des Dépôts.

Les vidéos sont sous licence creative commons BY NC","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""98469454"", ""98357099""]","[""Jean-Baptiste Chambon"", ""Antoine Courmont""]",BEGINNER,Données et Gouvernance Urbaine,"[""210""]",,"[""Sciences Po""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d2/152b9b66734871b2c004979ec3e94a/square-fr.png,"[""fr""]",[],donnes-et-gouvernance-urbaine,[],4 weeks / 2-3 hours/week,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",iuGwwy9YEfGgtxKKqvCj4w,v2.ondemand,"Il s'agit du premier cours d'une série de quatre destinés aux architectes et ingénieurs cloud possédant déjà des connaissances sur Azure. Il compare les solutions Google Cloud et Azure, et guide les professionnels dans leur utilisation. 
Ce cours est consacré à Identity and Access Management (IAM) et à la mise en réseau dans Google Cloud. Les participants mettront en application leurs connaissances de la gestion des accès et de la mise en réseau dans Azure pour explorer les similitudes et les différences avec la gestion des accès et la mise en réseau dans Google Cloud. Ils s'entraîneront également à créer et gérer des ressources Google Cloud.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Google Cloud IAM et mise en réseau pour les utilisateurs professionnels d'Azure,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fd/4db50e54854551bdf9352144f89bb2/GFX_Coursera_Asset_Full_1200x1200.png,"[""fr""]",[],gc-iam-et-mise-en-rseau-pour-les-utilisateurs-dazure-fr,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",iS_tRVsxEfCsFw6FoIz2Lw,v2.ondemand,"Ce cours est une introduction aux notebooks Vertex AI, des environnements basés sur des notebooks Jupyter qui proposent une plate-forme unifiée pour l'ensemble du workflow de machine learning, de la préparation des données jusqu'au déploiement et à la surveillance des modèles. Le cours aborde les sujets suivants : (1) Les différents types de notebooks Vertex AI et leurs fonctionnalités, et (2) comment en créer et les gérer.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Utiliser des notebooks dans Vertex AI,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/42/c26d54c09b4a1ca059947db30070ee/Logo-Image_GC-Projects-1-1-copy.png,"[""fr""]",[],working-with-notebooks-in-vertex-ai-fr,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",tRx-8DUIEfGgBg60x222zQ,v2.ondemand,"Ce cours aborde les principes de base de BigQuery pour les professionnels qui connaissent les entrepôts de données cloud basés sur SQL dans Snowflake et qui souhaitent commencer à travailler dans BigQuery. Grâce à des contenus de cours interactifs et des ateliers pratiques, vous apprendrez à provisionner des ressources, à créer et à partager des ressources de données, à ingérer des données et à optimiser les performances des requêtes dans BigQuery. En vous appuyant sur vos connaissances de Snowflake, vous découvrirez également les similitudes et les différences entre Snowflake et BigQuery pour faciliter votre prise en main des entrepôts de données dans BigQuery.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Principes de base pour les utilisateurs Snowflake,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3f/aeae38cd844e1a932f7ffbc5eeb43d/Logo-Image_GC-Projects.png,"[""fr""]",[],bigquery-fundamentals-for-snowflake-professionals-fr,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",V4tUmw1rEeei4BLIS97yDA,v2.ondemand,"Les collectivités territoriales et les services de l'Etat sont confrontés à de multiples enjeux : crise des finances publiques, augmentation des dépenses sociales, défiance croissante des administrés, concurrence des solutions proposées par des communautés numériques très agiles.
La bonne nouvelle, c'est que des solutions existent pour faire mieux avec moins ! L'innovation publique, c'est possible grâce aux apports de ce que l'on appelle la pensée design, qui permet de repenser le service offert à l'usager.

Ce MOOC a été réalisé en partenariat avec le Conseil départemental du Val d'Oise, pionnier dans la mise en oeuvre de ces approches. Son originalité ? Nous vous proposons une expérience d’apprentissage très riche basée à la fois sur l'expertise de spécialistes du sujet et sur l'expérience de nombreux acteurs publics de terrain, qui mettent en œuvre cette approche et apportent leur témoignage dans les différents modules.

Notre objectif ? Vous donner les compétences pour coordonner un projet d'innovation publique s’appuyant sur une approche design de service, quels que soient le domaine et le contexte dans lesquels vous travaillez.

Bienvenue dans ce MOOC !
Thierry Sibieude et l'équipe pédagogique","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""12799868""]","[""Thierry Sibieude""]",BEGINNER,"Innovation publique et pensée design, l'innovation sociale au service des territoires","[""223""]",https://coursera-university-assets.s3.amazonaws.com/a7/257bc0133a11e4b8731b951158c865/logoessec13548.png,"[""ESSEC Business School""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6b/b7e0f04df111e8a3f3cfd5925b2ba1/vignette-MANAGEMENT-ET-SOCIETE.jpg,"[""fr""]",[],innovation-publique-pensee-design,[],"4 semaines, 2 à 8 heures par semaine ",yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",uFgnx8LgEeux9w57Jm7QdQ,v2.ondemand,"Ce MOOC sur le traitement d'images est à l’intersection de plusieurs domaines scientifiques et techniques : les mathématiques, la physique, l’informatique.

De la ligne de fabrication jusqu’au scanner médical en passant par les satellites. Les images nous servent à extraire des informations omniprésentes aujourd’hui. Elles doivent être systématiquement traitées pour s’affranchir des mauvaises conditions d’acquisition, afin d’isoler les objets pertinents et de les analyser.

Les traitements présentés (filtrage , rehaussement, suppression du bruit) sont le point de départ de la chaîne d’analyse. Ils permettent par exemple le relevé des diagnostics en imagerie médicale, la détection de pièce défectueuse sur une ligne de production ou encore la reconnaissance des plaques d’immatriculation sur les radars.

Dans ce MOOC, vous prendrez connaissance des bases nécessaires en mathématiques et en informatique avec le langage Python. Vous apprendrez à manipuler les algorithmes et la programmation des opérations élémentaires du traitement d’images : charger et observer une image, analyser sa qualité, améliorer sa netteté et ses contrastes, ajouter du flou ou détecter des contours.

Pour suivre ce cours, des bases du langage de programmation Python sont nécessaires : boucles, opérateur logique, vectorisation des opérations , définition de fonction, tableaux et numpy.

Une attestation de suivi avec succès est attribuée par Coursera aux apprenants réussissant à obtenir une note supérieure à 50 %.

Ce cours a été créé avec le soutien de la Fondation Patrick & Lina Drahi.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""32888698"", ""11089261""]","[""Yann Gavet"", ""Vincent Mazet""]",INTERMEDIATE,Traitement d'images : introduction au filtrage,"[""297""]",http://coursera-university-assets.s3.amazonaws.com/74/b79db0d26111e6a94511b095e02908/Logo-large-page-description.png,"[""Institut Mines-Télécom""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/34/862750a8ba4f77945e0734e92d74f8/mooc_miami_730_411.png,"[""fr""]",[],moocimage-filtrage,[],"4 semaines, 4h/semaine",yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",Kz4g-m1cEeeWCg71xNIlJg,v2.ondemand,"Partez à la découverte de l'infiniment petit, en compagnie de physiciens et de physiciennes qui vont vous faire découvrir les secrets de la matière quand on l'étudie aux distances les plus courtes, aux énergies les plus élevées. Vous vous initierez aux progrès les plus récents de la recherche en physique nucléaire et de la physique des particules, et vous découvrirez les principes des accélérateurs et des détecteurs avec lesquels on a pu étudier la matière à ces échelles, pour arriver jusqu'à la découverte du boson de Higgs en 2012 auprès du collisionneur de particules du CERN, le LHC.

Ce cours en français fait partie du MOOC ""Voyages de l'infiniment grand à l'infiniment petit"", conçus par des physiciens et des physiciennes du Labex P2IO (Physique des 2 Infinis et des Origines) regroupant des laboratoires de physique de l'infiniment grand et de l'infiniment petit situés à Orsay et Saclay. Les différents parcours de ce MOOC vous montreront les connaissances et les énigmes de l'infiniment grand et de l'infiniment petit, les relations que ces deux infinis entretiennent, et les liens de ces découvertes avec la société :

https://www.coursera.org/learn/physique-2-infinis-infiniment-petit
https://www.coursera.org/learn/physique-2-infinis-infiniment-grand
https://www.coursera.org/learn/physique-2-infinis-liens
https://www.coursera.org/learn/physique-2-infinis-et-nous

Le MOOC ""Voyages de l'infiniment grand à l'infiniment petit"" a été conçu avec le soutien financier du Labex P2IO (Physique des 2 Infinis et des Origines) présenté sur www.labex-p2io.fr","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""physics-and-astronomy""}]","[""27668776"", ""27705906"", ""30337318"", ""31096883""]","[""Sébastien Descotes-Genon"", ""Olivier Drapier"", ""Nicolas Arnaud"", ""Philippe Schune""]",BEGINNER,Vers l'infiniment petit - Voyages de l'infiniment grand à l'infiniment petit,"[""66""]",http://coursera-university-assets.s3.amazonaws.com/28/0cf38a7f2b40f2b029ee727645b6b1/Logo-horizontal-Pantone_noborder_h48.png,"[""École Polytechnique""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/86/d730f0cf8111e7acbbf7fcb7d7a163/B84FCBCF-7126-48A8-AB49-22DC8DEF7AF9_univ-paris1.fr.jpg,"[""fr""]",[],physique-infiniment-petit,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",0dKz3SnXEfGYRwr_2Lx79w,v2.ondemand,"Ce cours aborde les principes de base de BigQuery pour les professionnels qui connaissent les entrepôts de données cloud basés sur SQL dans Redshift et qui souhaitent commencer à travailler dans BigQuery. Grâce à des contenus de cours interactifs et des ateliers pratiques, vous apprendrez à provisionner des ressources, à créer et à partager des assets de données, à ingérer des données et à optimiser les performances des requêtes dans BigQuery. En vous appuyant sur vos connaissances de Redshift, vous découvrirez également les similitudes et les différences entre Redshift et BigQuery pour faciliter votre prise en main des entrepôts de données dans BigQuery.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Principes de base de BigQuery pour les utilisateurs Redshift,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/61/6c0d7a0e3b41908aa388bafc07d3a4/GFX_Coursera_Asset_Full_1200x1200.png,"[""fr""]",[],bigquery-fundamentals-for-redshift-professionals-fr,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert"", ""Specialization""]",5P9k-wtzEeyNuxKAzhaylw,v2.ondemand,"Ce cours couvre une grande variété de concepts, d’outils et de meilleures pratiques en matière de sécurité informatique. Il présente les menaces et les attaques et les nombreuses façons dont elles peuvent se manifester. Nous allons vous présenter les algorithmes de cryptage et la manière dont ils sont utilisés pour protéger les données. Ensuite, nous nous plongerons dans les trois A de la sécurité de l’information : authentification, autorisation et comptabilité. Nous aborderons également les solutions de sécurité du réseau, allant des pare-feu aux options de cryptage Wi-Fi. Le cours se termine par la mise en commun de tous ces éléments dans une architecture de sécurité multicouche et approfondie, suivie de recommandations sur la manière d’intégrer une culture de la sécurité dans votre organisation ou votre équipe.

À la fin de ce cours, vous serez capables de comprendre :
● le fonctionnement des différents algorithmes et techniques de cryptage, ainsi que leurs avantages et leurs limites ;
● divers systèmes et types d’authentification ;
● la différence entre l’authentification et l’autorisation ;
● comment évaluer les risques potentiels et recommander des moyens de réduire les risques ;
● les meilleures pratiques pour sécuriser un réseau ;
● comment aider les autres à appréhender les concepts de sécurité et à se protéger.","[{""subdomainId"": ""security"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,Sécurité informatique et dangers du numérique,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/af/d5ed10f26911e7a930e510b0715979/Course-Logo-6---NEW.jpg,"[""fr""]","[""8kIYrq11Ee2O-BL57hX6Tw"", ""u3VzKDhIEeyCmhJ_shlqow""]",securite-informatique-defense-contre-les-pratiques-sombres-du-numerique,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",3PL8vSgsEfG1_A5vub3zsQ,v2.ondemand,"Ce cours explique comment moderniser, gérer et observer des applications à grande échelle à l'aide de Google Kubernetes Engine. Il s'appuie sur des présentations et des ateliers pratiques pour vous aider à explorer et à déployer des applications modernes à l'aide de Google Kubernetes Engine (GKE), de parcs GKE, de Cloud Service Mesh et de Config Controller, même lorsqu'elles sont réparties sur plusieurs clusters hébergés par différents fournisseurs.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,Gérer des charges de travail évolutives dans GKE,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3f/971d5da92545019a93c189f3de6c55/Logo-Image_GC-Projects-1-.png,"[""fr""]",[],manage-scalable-workloads-in-gke-fr,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert"", ""Specialization""]",a1JMQwt0Eey6IAo7CGAsSQ,v2.ondemand,"Il s’agit du cinquième cours du programme de Certification en gestion de projet Google. Ce cours explorera l’historique, l’approche et la philosophie de la gestion de projet Agile, notamment le cadre Scrum. Vous apprendrez à différencier et à combiner Agile à d’autres approches de gestion de projet. Au fur et à mesure que vous progresserez dans le cours, vous en apprendrez plus sur Scrum, en explorant ses piliers et ses valeurs et en comparant les rôles essentiels de l’équipe Scrum. Vous découvrirez comment créer, gérer et affiner un carnet de produit, mettre en œuvre les stratégies de livraison axées sur la valeur d’Agile et définir une feuille de route de la valeur. Vous apprendrez aussi des stratégies pour organiser efficacement les cinq événements Scrum importants pour une équipe Scrum, introduire une approche Agile ou Scrum dans une organisation et encadrer une équipe Agile. Enfin, vous apprendrez à rechercher et à décrocher des missions dans un poste Agile. Les chefs de projet Google actuels continueront de vous former et de vous fournir les approches pratiques, les outils et les ressources nécessaires pour atteindre vos objectifs.

Les stagiaires qui terminent ce programme devraient avoir les connaissances nécessaires pour postuler un emploi de niveau débutant dans la gestion de projet. Aucune expérience préalable n’est nécessaire.

À la fin de ce cours, vous serez en mesure de: 
 - Expliquer l’approche et la philosophie de la gestion de projet Agile, y compris les valeurs et les principes.
 - Expliquer les piliers de Scrum et la façon dont ils soutiennent les valeurs de Scrum.
 - Identifier et comparer les rôles essentiels dans une équipe Scrum et ce qui les rend efficaces.
 - Créer et gérer un carnet de produit et effectuer le raffinement du carnet.
 - Décrire les cinq événements importants de Scrum et comment configurer chaque événement pour une équipe Scrum.
 - Mettre en œuvre les stratégies de livraison axées sur la valeur d’Agile et définir une feuille de route de la valeur.
 - Expliquer comment encadrer une équipe Agile et l’aider à surmonter les défis.
 - Effectuer une recherche d'emploi pour un rôle Agile et apprendre comment réussir votre entretien","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,Gestion de projet Agile,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/11/db32edad03442786abc8aba72e758b/1200x600_certsResize_3-1-.png,"[""fr""]","[""kq1n_K11Ee2L3A6lwOQQZw"", ""lWdUezjREeygcBLCZu413w""]",gestion-de-projet-agile-google,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",lBTwTjnsEe-9Ig7qA4dB5w,v2.ondemand,Ce cours présente les concepts d'interprétabilité et de transparence de l'IA. Il explique en quoi la transparence de l'IA est importante pour les développeurs et les ingénieurs. Il explore des méthodes et des outils pratiques permettant d'atteindre l'interprétabilité et la transparence des modèles d'IA et des données.,"[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Responsible AI for Developers: Interpretability & Transparency - Français,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/35/982b0c4f8f47629b87de6089c75418/Logo-Image_GC-Projects-1-.png,"[""fr""]",[],ai-for-developers-interpretability--transparency--franais,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert"", ""Specialization""]",FRSRgycCEey4dA6DVmO2QQ,v2.ondemand,"Ce cours, le premier d’une série de six, est destiné à vous doter des compétences nécessaires pour postuler à des rôles de débutants dans la gestion de projet. Les chefs de projet jouent un rôle clé dans la direction, la planification et la mise en œuvre de projets essentiels à la réussite de leur entreprise. Dans ce cours, vous découvrirez la terminologie fondamentale de la gestion de projet et vous comprendrez mieux le rôle et les responsabilités d’un chef de projet. Nous vous présenterons également les types d’emplois que vous pourriez occuper après avoir terminé ce programme. Tout au long du programme, vous apprendrez de chefs de projet actuellement en poste chez Google, qui vous feront participer à des activités variées pour développer vos compétences et pouvoir présenter votre candidature au sein de l’entreprise. 

Les stagiaires qui terminent ce programme devraient être équipés pour postuler à des emplois de chefs de projet débutants. Aucune expérience préalable n’est nécessaire.

À la fin de ce cours, vous serez capables :
- de définir la gestion de projet et de décrire ce qui constitue un projet.
- d’expliquer les rôles et les responsabilités en matière de gestion de projet dans divers secteurs d’activité
- de détailler les compétences de base qui aident un chef de projet à réussir.
- de décrire le cycle de vie d’un projet et d’expliquer l’importance de chaque phase.
- de comparer les différentes méthodologies et approches de la gestion de programme et déterminer laquelle est la plus efficace pour un projet donné.
- de définir la structure et la culture d’une entreprise et d’expliquer son impact sur la gestion de projet. 
- de définir la gestion du changement et de décrire le rôle du chef de projet dans le processus.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,Bases de la gestion de projet,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/33/56fa78ec0542f19eaa977b8854c833/coursera2.jpg,"[""fr""]","[""kq1n_K11Ee2L3A6lwOQQZw"", ""lWdUezjREeygcBLCZu413w""]",bases-de-la-gestion-de-projet-google,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",osHxZ4IDEeWk1xIKj2p3VQ,v2.ondemand,"Ce cours vous introduit à la physique subatomique, c'est à dire à la physique du noyau et à celle des particules élémentaires. 

Plus spécifiquement les questions adressées sont les suivantes :
- Quels sont les concepts de la physique des particules et comment sont-ils implémentés?
- Quelles sont les propriétés du noyau atomique et comment peut on les utiliser?
- Comment accélérer et détecter des particules et mesurer leurs propriétés?
- Qu’est-ce qu’on apprend à partir des réactions de particules à haute énergie et leurs désintégrations?
- Comment fonctionnent les interactions électromagnétiques et comment peut-on les mettre à contribution?
- Comment fonctionnent les interactions fortes et pourquoi sont-elles difficiles à comprendre?
- Comment fonctionnent les interactions faibles et pourquoi sont-elles spéciales?
- Quelle est la masse des objets au niveau subatomique, et comment y intervient le Higgs?
- Que peut-on apprendre de la physique des particules concernant l’astrophysique et l’Univers tout entier?

Le cours est structuré en sept modules. Suivant le premier module qui introduit notre sujet, les modules 2 (Physique nucléaire) et 3 (Accélérateurs et détecteurs) dépendent peu du reste du cours et peuvent être étudiés séparément. Les modules 4 à 7 approfondissent les notions de la matière et des forces élémentaires.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""physics-and-astronomy""}]","[""10443507"", ""11574748""]","[""Martin Pohl"", ""Mercedes Paniccia""]",INTERMEDIATE,Physique des particules - une introduction,"[""49""]",https://coursera-university-assets.s3.amazonaws.com/85/c23dd1649ff86f49b24903aab7c7c1/UNIGE-Logo-ClassPages.png,"[""University of Geneva""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e1/b66640bf7e11e596ddffa17da4aea1/PhysParticules-MOOCs-1200x1200.jpg,"[""fr""]",[],physique-particules,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",JOvaMosAEeyUpgpJ5aGUOQ,v2.ondemand,"Ce projet vous permet de découvrir la plateforme Creately, logiciel en ligne de conception de diagrammes. Vous comprendrez les diverses fonctionnalités de la plateforme et serez capables de créer des infographies personnalisées et professionnelles pour votre entreprise. Vous aurez toutes les compétences de base pour utiliser Creately et créer facilement et rapidement des infographies pour votre marque ou petite entreprise.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""26958800""]","[""Sara Nefzaoui""]",BEGINNER,Créer des infographies attrayantes avec Creately,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0f/2441a5aa2e44fe88fb4302a2837893/Untitled-1200-x-1200-px-.png,"[""fr""]",[],creer-infographies-attrayantes-creately,[],2 heures,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",KCDwoVb9EeWaMw4b4yEpbw,v2.ondemand,"De quoi parle-t-on lorsque l’on parle d’environnement ? Existe-t-il une crise écologique ? L’environnement se résume-t-il à la pollution ? Est-on vraiment fondé à parler de risques environnementaux ? L’environnement a-t-il affaire à la politique et si oui pourquoi ? Pourquoi et à partir de quand a-t-on pu parler d’écologie politique ? Quelles en sont les différentes expressions ? Les démocraties et leurs expressions courantes ne suffisent-elles pas à répondre aux problèmes écologiques ? Et si ce n’est pas le cas, quels sont les apports éventuels et potentiels de l’écologie politique ? Ce cours se propose à répondre à ces questions, l’objectif global étant de comprendre les tenants et aboutissants de l’interface écologie et politique.


Objectifs pédagogiques du cours :

1.	Situer dans l’histoire des idées et de la société ce qu’on entend par écologie politique
2.	Maîtriser le lexique de l’écologie et de l’écologie politique
3.	Analyser le caractère alternatif des courants de l’écologie politique en se situant dans le mouvement des idées et non sur la scène politicienne
4.	Identifier les différents courants et leurs approches
5.	Situer de manière critique les réponses que propose l’écologie politique aux difficultés qu’elle pointe
6.     Expliquer les fondements de la démocratie et les nouveaux enjeux qu’elle traverse","[{""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}]","[""5192980"", ""19992059""]","[""Dominique Bourg"", ""Gabriel Salerno""]",BEGINNER,Ecologie Politique: défi de la durabilité pour les démocraties,"[""159""]",https://coursera-university-assets.s3.amazonaws.com/4e/469089cc04192a1bca067a8c322766/UNIL_logo_200x48.png,"[""University of Lausanne""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/13/d01d90d7fe11e682f4b3a073e01b99/logo-mooc-bourg.jpg,"[""fr""]",[],ecologie-politique,[],1-2 hours/week,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",RPVvi9QhEfC0DRIFHjAuTw,v2.ondemand,"Ce cours présente Gemini Enterprise, une plate-forme puissante qui rassemble des agents IA, la recherche d’entreprise, NotebookLM et un accès intelligent aux données pour résoudre les défis organisationnels. À travers des exemples concrets et une exploration pratique, les participants pourront lier les capacités de Gemini Enterprise à des besoins métiers réels, décrire son architecture et expliquer comment il gère l'accès aux données et la confidentialité entre les différents rôles.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Présentation de Gemini Enterprise,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ec/022e9702f9423d8f071def46680933/Logo-Image_GC-Projects-1-.png,"[""fr""]",[],introduction-to-google-agentspace-fr,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",q8vuMCtCEfCFOw5SEzGjMQ,v2.ondemand,"Ce cours s'adresse aux analystes de données qui souhaitent apprendre à utiliser BigQuery pour leurs besoins d'analyse de données. À travers un ensemble de vidéos, d'ateliers et de démonstrations, nous aborderons différents sujets pour expliquer comment ingérer, transformer et interroger vos données dans BigQuery afin de dégager des insights qui contribuent à la prise de décisions commerciales.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,BigQuery pour les analystes de données,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d0/2eb41e285d4001978660e4326c2857/Logo-Image_GC-Projects-1-.png,"[""fr""]",[],bigquery-pour-les-analystes-de-donnes-fr,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",wqOmP74aEeWH_w6eDJDPoQ,v2.ondemand,"Ce cours propose une introduction à la protection internationale des droits de l’homme. Il en présente les sources, les catégories, le contenu et les limites qui leur sont opposables, ainsi que les obligations qu’ils génèrent à la charge des Etats. Il expose aussi les principaux mécanismes de mise en œuvre prévus au niveau universel et régional pour assurer leur respect. 

Depuis la fin de la Seconde Guerre mondiale, les droits de l’homme sont un domaine en plein essor. De nombreuses causes sont aujourd’hui défendues et débattues sous la bannière des droits de l’homme : la protection des minorités, la lutte contre la discrimination des femmes, des personnes lesbiennes, gaies, bisexuelles et transgenres (LGBT), la lutte contre la torture et les disparitions forcées, la lutte contre la pauvreté ou encore la protection de l’environnement et la protection des données. Partout dans le monde, ces causes mobilisent tant les acteurs politiques que la société civile et elles sont discutées dans de multiples enceintes, nationales et internationales.

Le présent cours vise à offrir les bases nécessaires pour appréhender et comprendre le domaine vaste et complexe que sont devenus les droits de l’homme. Quelles sont les caractéristiques et les différentes catégorie des droits de l’homme ? Quels sont leurs fondements philosophiques et historiques ? Pourquoi ces droits sont-ils importants ? Quels instruments visent à les protéger ? Comment rendre ces droits opérationnels ? Quels mécanismes existent pour les mettre en œuvre et quels sont leurs avantages et leurs inconvénients ?

En abordant ces questions, le cours s’adresse tant à des membres de la communauté universitaire qu’à des praticiens (responsables politiques, membres du corps diplomatique, fonctionnaires, journalistes, membres d’ONG, défenseurs des droits de l’homme et spécialistes de la coopération au développement, de l’aide humanitaire et des questions relatives aux réfugiés), ainsi qu’à toutes les personnes qui sont engagées dans la protection des droits de l’homme ou simplement désireuses de mieux comprendre ce phénomène.

Le cours est conçu et dispensé par les Professeurs Maya Hertig Randall et Michel Hottelier, de la Faculté de droit de l’Université de Genève. Durant le cours, des membres d’organes et institutions voués à la protection des droits de l’homme et des spécialistes de la communauté académique seront invités à intervenir.

Le cours est donné en français. Il consiste en une série de 8 sessions, comprenant chacune un certain nombre de brèves présentations vidéo (8 à 15 minutes). Chaque session s'accompagne d'un questionnaire d'évaluation. Des lectures préparatoires sont requises pour chaque session.","[{""subdomainId"": ""law"", ""domainId"": ""social-sciences""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""4303265"", ""5625758""]","[""Maya Hertig Randall"", ""Michel Hottelier""]",,Introduction aux Droits de l’Homme,"[""49""]",https://coursera-university-assets.s3.amazonaws.com/85/c23dd1649ff86f49b24903aab7c7c1/UNIGE-Logo-ClassPages.png,"[""University of Geneva""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/77/ca40208b2e11e8be822ba1c02b9f14/IntroDroitsHomme-MOOC-1200x1200.jpg,"[""fr""]",[],droits-de-lhomme,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",Z9NjLBpLEe6d2ArZyo781Q,v2.ondemand,"Ce cours de micro-apprentissage, qui s'adresse aux débutants, explique ce que sont les grands modèles de langage (LLM). Il inclut des cas d'utilisation et décrit comment améliorer les performances des LLM grâce au réglage des requêtes. Il présente aussi les outils Google qui vous aideront à développer votre propre application d'IA générative.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Introduction to Large Language Models - Français,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1a/688f91ee74493ca43501eba4eee2da/Logo-Image_GC-Projects-1-.png,"[""fr""]",[],introduction-to-large-language-models-fr,[],,yb3thcwD5sKkOoNYV,3YcnDlw2RNaW6KHHY
[],"[""VerifiedCert""]",4iWIAqwMEe-NGg6igj04HQ,v2.ondemand,"Este curso está dirigido a docentes, formadores y profesionales de la educación que buscan integrar la inteligencia artificial generativa en su enseñanza para mejorar la planificación, evaluación y personalización del aprendizaje. No se requieren conocimientos previos en IA.

Transforma tu enseñanza con IA Generativa

Al finalizar este curso, serás capaz de aplicar herramientas de IA generativa para optimizar tu enseñanza, diseñar estrategias innovadoras y mejorar la evaluación de los estudiantes. Aprenderás a crear materiales interactivos, planificar clases con mayor eficiencia y fomentar el pensamiento crítico en los alumnos mediante el uso responsable de la IA.

Este curso es único porque combina un enfoque práctico con las últimas tendencias en inteligencia artificial aplicada a la educación. No solo conocerás los fundamentos teóricos, sino que también pondrás en práctica lo aprendido con actividades diseñadas para fortalecer tu competencia digital como docente.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""139594260""]","[""Anna Karina Cruz López""]",BEGINNER,Inteligencia Artificial Generativa para Docentes,"[""1489""]",http://coursera-university-assets.s3.amazonaws.com/b2/712e63a3604218b8ca125b504d359c/Logo-Red-de-Universidades-Anahuac-color-copy.png,"[""Universidades Anáhuac""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/da/2426a75a9744a69a6cbafa3738172e/Logo-Img-800x800.png,"[""es""]",[],inteligencia-artificial-generativa-para-docentes,[],,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",ZA5RDyTyEe-_Bw7l9wp8FQ,v2.ondemand,"Este curso está dedicado principalmente a estudiantes universitarios de primer y segundo año interesados en ciencia e ingeniería, junto con estudiantes de secundaria y profesionales interesados en programación.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""138804580""]","[""Carlo Andrés Hinojosa Relión""]",BEGINNER,Inteligencia Artificial para personajes en Unreal Engine,"[""1556""]",http://coursera-university-assets.s3.amazonaws.com/d1/a91090c9774c5580daf295952af762/SAE-300x.png,"[""SAE Institute México""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ae/9c5d0cd3384af58a538beafa86d54a/Captura-de-pantalla-2024-06-07-161438.png,"[""es""]",[],inteligencia-artificial-para-personajes-en-unreal-engine,[],5 Horas,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",5sELsjzeEey2HhKRvGWgpQ,v2.ondemand,"En este proyecto se recorrerá la plataforma de administrador de ventas de Facebook, Facebook Commerce Manager, conociendo las distintas herramientas que este administrador nos ofrece.","[{""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}, {""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""67524736""]","[""María Ignacia España ""]",BEGINNER,Cómo empezar con Facebook Commerce Manager,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/73/29556289e14675920521640b19f5f9/7777.jpg,"[""es""]",[],facebook-commerce,[],2 horas,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",728RVtH8EeyBrQ7e8kzA9w,v2.ondemand,"Al final de este proyecto, tendrás todas las habilidades básicas para crear productos de calidad y de marca utilizando la plataforma Canva, una herramienta en línea para crear y editar diseños de marketing. Podrás crear productos personalizables utilizando las diversas herramientas de diseño, colores y gráficos que ofrece Canva.
Este proyecto es para principiantes, personas que no tienen conocimientos de diseño gráfico y que les gustaría crear productos para sus marcas.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""26958800""]","[""Sara Nefzaoui""]",BEGINNER,Crea diseños de marca para tu pequeña empresa con Canva,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/75/80a8dde05c402ba074da203723bd28/Pitch-Deck-30-.png,"[""es""]",[],crea-disenos-marca-pequena-empresa-canva,[],2 horas,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert"", ""Specialization""]",egap7M0cEe-xcgr_7YhUxQ,v2.ondemand,"Este curso tiene como objetivo proporcionar a los estudiantes una comprensión integral de los modelos predictivos utilizando técnicas de Machine Learning. Los participantes aprenderán a implementar, evaluar y mejorar modelos predictivos aplicables a diversas problemáticas reales, utilizando herramientas como Python y bibliotecas especializadas.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""170324780"", ""170324911""]","[""Eduardo Rodríguez del Angel"", ""Jorge Alberto Cerecedo Cordoba""]",INTERMEDIATE,Modelos predictivos con Machine Learning,"[""1489""]",http://coursera-university-assets.s3.amazonaws.com/b2/712e63a3604218b8ca125b504d359c/Logo-Red-de-Universidades-Anahuac-color-copy.png,"[""Universidades Anáhuac""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c5/9adca4e01c494b938691a88d085838/modelos_2.png,"[""es""]","[""XXraPH3SRsC8NYMvSlks6A""]",modelos-predictivos-con-machine-learning,[],4 semanas,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert"", ""Specialization""]",PyySc330Eeuq6Aq4OpJMyw,v2.ondemand,"Este curso tiene por objetivo introducir al alumno a las implicancias del gerenciamiento de empresas. Múltiples desafíos deben ser lidiados por la alta gerencia empresarial y es fundamental comprenderlos para poder desarrollar los objetivos empresariales. En este curso aprenderemos a crear estrategias, gestionarlas y tomar decisiones fundadas en la comprensión de nuestro entorno y de nosotros mismos como líderes.
Este curso brinda herramientas para obtener una perspectiva de los requerimientos y desafíos que debe enfrentar la alta gerencia para crear, gestionar y ejecutar la estrategia. Los objetivos que se plantean son adquirir habilidades para:
• Desarrollar el objetivo empresarial.
• Elaborar el perfil de liderazgo Idóneo.
• Establecer un sistema de control adecuado.
• Desarrollar sistemas ágiles de gestión.
• Obtener sistemas de retroalimentación de resultados.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""84578564""]","[""Walter Esquivel""]",BEGINNER,Fundamentos del Management,"[""658""]",http://coursera-university-assets.s3.amazonaws.com/e1/1d9e9f5d9b40b398c60cadc2e4770b/logo-up-200x48.png,"[""Universidad de Palermo""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b8/856ef4ffbd4a0c9aea67c66e16ce9c/management-principal.jpg,"[""es""]","[""zWu2eAmYEeyZcgptO5aL2Q""]",fundamentos-del-management,[],3 horas por semana.,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",VobAakspEfGWXAr_wfPL6w,v2.ondemand,"La gestión de proyectos de infraestructura social exige una combinación de conocimientos técnicos, visión estratégica e incorporación de soluciones innovadoras que permitan responder a las necesidades reales de la población a quien se busca beneficiar.

En este curso, aprenderás a implementar estrategias de gestión que contemplen enfoques modernos para la formulación, diseño, construcción, supervisión, operación y mantenimiento. A lo largo de sus módulos, podrás identificar cada una de las fases que componen el ciclo de un proyecto de infraestructura social en distintos sectores, basadas en buenas prácticas obtenidas de la experiencia del Banco Interamericano de Desarrollo.

Asimismo, explorarás cómo detectar riesgos críticos y diseñar estrategias de mitigación con un enfoque basado en resultados, fortaleciendo la toma de decisiones y asegurando una ejecución más eficiente. Finalmente, conocerás criterios de diseño, particularidades de los sectores de desarrollo, soluciones innovadoras y herramientas digitales que están transformando la forma en que se planifican y gestionan los proyectos de infraestructura social.

Este curso te brindará una visión integral y actualizada para mejorar la calidad y el impacto de proyectos, apoyándose en prácticas modernas y recursos tecnológicos que potencian la gestión pública y el desarrollo sostenible.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}, {""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}]","[""156790611"", ""129497352"", ""211726811""]","[""Wilhelm Dalaison"", ""Tomás Serebrisky"", ""Livia Minoja""]",BEGINNER,Gestión de proyectos e innovación en infraestructura social,"[""825""]",http://coursera-university-assets.s3.amazonaws.com/c6/7ea86e2647454b88429edfd80dff45/Logo_wide.png,"[""Banco Interamericano de Desarrollo""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/09/8dd4bd3c6c47e4bac065b29ff0e781/curso-infraestructura-social_Logotipo-de-curso.png,"[""es""]",[],gestion-de-proyectos-e-innovacion-en-infraestructura-social,[],20 horas de estudio,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert"", ""Specialization""]",snIby_baEe6b_Ar_9IRNEQ,v2.ondemand,"En este curso desarrollarás una visión amplia de la biología evolutiva así como su comprensión, explicación y el desarrollo de las habilidades que le permitan argumentar las diferencias entre la síntesis moderna y la síntesis extendida; la relación entre evolución y biología del desarrollo (Evo-Devo), la complejidad de los conceptos centrales de la plasticidad fenotípica, la herencia inclusiva, y la teoría de la construcción de nichos. Además, desarrollarás  habilidades para aplicar el marco de la síntesis extendida para la construcción de nuevo conocimiento en su área de investigación o docencia.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}]","[""39497823""]","[""Rosaura Ruiz Gutiérrez""]",BEGINNER,Evolución: Síntesis extendida,"[""58""]",https://coursera-university-assets.s3.amazonaws.com/b5/8791b86e9b1c577fa9d393a14db946/UNAM.logo.curso.200x48.png,"[""Universidad Nacional Autónoma de México""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d1/4ffd50b9914d849d0cbca8d3e3e4bc/evoIII.jpeg,"[""es""]","[""fZy751r-S_eM4Jr73W9KRg""]",sintesisextendida,[],,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",wFc3FhwIEeyf4Ar-aygVCw,v2.ondemand,"En este proyecto, estaremos gestionando nuestras redes sociales para promover contenido a través de Hootsuite.

Nuestro objetivo será conocer las herramientas, requisitos y visualizar todos los recursos que brinda la aplicación.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""35833891""]","[""Mike Nieva""]",BEGINNER,Introducción a Hootsuite,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c3/d5fce942024aa9a4a90e6573d1016e/Screen-Shot-2021-10-02-at-20.41.54.png,"[""es""]",[],introduccion-a-hootsuite,[],2 hours ,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",8oNrB55yEem3chLmUHVycA,v2.ondemand,"La OMS en el año 2011 publicó el Informe Mundial sobre la Discapacidad, en el cual se evidencia un aumento en la prevalencia de discapacidad de un 15% (anteriormente se estimaba entre un 7 y un 10% de la población). Las personas que viven en situación de discapacidad presentan mayores niveles de deprivación en diferentes ámbitos: inserción al mercado del trabajo, nivel educacional, etc. 

Esto nos obliga como sociedad a repensar nuestro trabajo en esta materia desde un enfoque que garantice igual trato para todos. Pues, una sociedad que espere promover igualdad de oportunidades y espacios de desarrollo para todos sus miembros, debe poner especial atención con aquellos sectores que han sido postergados durante generaciones, esto ocurre con especial fuerza en nuestros países del tercer mundo. No obstante comprender el actual enfoque de Derechos permite orientar la acción hacía planes y programas que permitan garantizar accesibilidad e inclusión social para personas en situación de discapacidad.


Nosotros buscamos promover que la labor social, laboral o profesional se enmarque en los principios y fundamentos del enfoque de Derechos en discapacidad, por lo que los estudiantes que desarrollen este curso desarrollen una mirada crítica de las prácticas de apoyo de las personas en situación de discapacidad. Posterior a 10 años del nacimiento de la Convención sobre los derechos de las personas con discapacidad, se hace urgente su difusión, comprensión y crítica por parte de los ciudadanos a objeto de modificar prácticas que hoy resultan contradictorias, ilegítimas e innecesarias, las que suelen atentar, en contra de la autonomía y derechos de las personas con discapacidad.

El propósito del curso es promover que la labor social, laboral o profesional se enmarque en los principios y fundamentos del enfoque de Derechos en discapacidad. De esta manera los los estudiantes podrán reflexionar sobre el enfoque de Derechos consagrado en la Convención de Naciones Unidas sobre Derechos de las Personas con Discapacidad, las diferencias conceptuales entre modelos, enfoques y teorías en el ámbito de la discapacidad en su proceso de tránsito conceptual. De esta manera, los estudiantes analizarán distintos ámbitos de aplicación de dichos modelos y conceptualizaciones en ámbitos de salud, educación y trabajo, comprendiendo una visión integral del desarrollo humano de una sociedad desde el enfoque de derechos humanos.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""43259708"", ""17170263"", ""43281935""]","[""Álvaro Besoain"", ""Mauro Tamayo"", ""Jame Rebolledo""]",BEGINNER,Inclusión social de personas con discapacidad desde un enfoque de derechos.,"[""280""]",https://coursera-university-assets.s3.amazonaws.com/2e/054760dcd911e5972cf758f98d1f0c/Escudo-color_alta-resolucion.png,"[""Universidad de Chile""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/55/a1bde0a4fb49ac82a6281729fc26c6/WhatsApp-Image-2019-07-26-at-15.25.51.jpg,"[""es""]",[],inclusion-social-personas-discapacidad,[],El alumno deberá dedicar un tiempo de 3 horas semanales,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",NfesTYvZEeuE_RKa-eRtaQ,v2.ondemand,"En este proyecto desarrollaras un aplicativo web usando Vue.js un framework progresivo fácil de integrar a tu proyecto. Crearemos un formulario usando elementos HTML y los vincularemos con el aplicativo en un documento JavaScript para que almacene y renderice los datos diligenciados.
Usaremos como herramientas el navegador de texto Visual Studio Code y el navegador para visualizar el resultado.
Aprenderás como crear este proyecto desde cero, como construir el documento HTML y como crear el aplicativo vinculando Vue.js desde un CDN (Red de distribución de contenidos).
Es importante conocer las bases de HTML, CSS y JavaScript sin embargo este proyecto es amigable y explica los conceptos para usar Vue desde cero, así que, aun si no te sientes fuerte en los códigos anteriores no habrá problema aprendiendo esta nueva opción de programación.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""76084437""]","[""Kristhian  Alexander Hueso""]",INTERMEDIATE,Crea una aplicación web con Vue.js,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/24/2448ba313b4c468634d8078031f746/vue-assets-06.png,"[""es""]",[],crea-una-aplicacion-web-con-vue-js,[],1 Hora,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",ztW4ywX2Ee2FUAphC_7O7w,v2.ondemand,"Gracias a este curso aprenderás a desarrollar un Business Model Canvas y un Business Case en Miro. El Business Model Canvas te permitirá crear y mejorar tu modelo de negocio. Y el Business Case te permitirá evaluar la viabilidad de tus iniciativas.
Además aprenderás acerca de Miro. Miro es una herramienta para trabajar con pizarras virtuales infinitas con todo tu equipo en tiempo real y desde cualquier lugar. 
Para ello, te guiaremos desde cero para que aprendas que es un Business Model Canvas y un Business Case, a cómo desarrollarlos y a cómo utilizarlos. Después avanzaremos con Miro, desde el manejo básico hasta funcionalidades avanzadas .
Finalmente desarrollarás un proyecto de  principio a fin donde utilices todo lo aprendido acerca del Business Model Canvas, del Business Case y de Miro.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""46454754""]","[""Leire Ahedo""]",BEGINNER,Business Model Canvas y Business Case en Miro,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a4/847c530804439b86f4b98b7ae7a3b4/imagenPortada.jpg,"[""es""]",[],business-model-canvas-y-business-case-en-miro,[],2 horas,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",xaYbkyBTEeWibgoGfGzczQ,v2.ondemand,"Este curso forma parte de una secuencia con la que se propone un acercamiento a la Matemática Preuniversitaria que prepara para la Matemática Universitaria.
En él se asocia un significado real con el contenido matemático que se aprende y se integran tecnologías digitales en el proceso de aprendizaje. 
Se propone la reinterpretación de los contenidos matemáticos relativos a Modelos con Radicales y Exponentes en términos de nociones y procesos del Cálculo Diferencial. Esto servirá como puente para el desarrollo de un pensamiento matemático avanzado con el que se trabajará en la Matemática Universitaria. El período de acreditación para la materia Introducción a las Matemáticas ha concluido. La última fecha para recibir certificados de Coursera es 24 de julio 2017. Informaremos oportunamente cuando la opción de acreditación esté disponible de nuevo. 

Curso con crédito académico para alumnos admitidos y aspirantes a ingresar a su primer semestre de un programa de profesional en el Tecnológico de Monterrey. Si estás inscrito en este MOOC con el fin de obtener el crédito académico para el curso de Introducción a las matemáticas (Matemáticas Remedial), confirma tu interés en la acreditación a la cuenta: mooc@servicios.itesm.mx. Consulta las preguntas frecuentes para conocer el proceso de acreditación.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""2672777""]","[""Dra. Patricia Salinas Martínez""]",,4.- El Cálculo - Otros Modelos,"[""62""]",https://coursera-university-assets.s3.amazonaws.com/9b/15be10393911e49662495adbabc20c/wide_logo_200x48_tec_transparente.png,"[""Tecnológico de Monterrey""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/02/aa34c0baee11e5a3dee98a51395b90/CURSO4_OTROSMODELOS.png,"[""es""]",[],calculo-4,[],5-6 horas/semana,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",3aCGHwf2EfGaeQr_0lkuzQ,v2.ondemand,"Los materiales poliméricos presentan un comportamiento viscoelástico, lo que significa que sus propiedades mecánicas resultan de la interacción entre características elásticas y viscosas. Además, estos materiales responden de manera distinta según si las cargas aplicadas actúan durante períodos cortos o si se mantienen a lo largo del tiempo. Por ello, en el diseño y desarrollo de componentes fabricados con polímeros es fundamental tener en cuenta su comportamiento viscoelástico para garantizar un rendimiento mecánico adecuado.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""physics-and-astronomy""}]","[""207413337"", ""207422292"", ""207447968"", ""159491949"", ""207335474""]","[""Luis Quiles Carrillo"", ""Teodomiro Boronat"", ""Daniel García García"", ""Juan Ivorra Martínez"", ""RAFAEL ANTONIO BALART GIMENO""]",BEGINNER,Viscoelasticidad en materiales poliméricos. Modelización,"[""3603""]",http://coursera-university-assets.s3.amazonaws.com/84/66b4001040421498085b14ca9fa0cc/upv200.png,"[""Universitat Politècnica de València""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1c/36f02da8f24291b5f88006ac3d2af9/course_image_600x600.png,"[""es""]",[],viscoelasticidad-en-materiales-polimericos-modelizacion,[],"4 semanas, 4 horas/semana",Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert"", ""Specialization""]",SV_hEA5YEeaX4g6xdats6w,v2.ondemand,"En el curso matemáticas financieras se explica la relación que tiene el dinero y su valor a través del tiempo. Se abordan los temas de interés simple, interés compuesto, anualidades, perpetuidades, amortizaciones, valor presente y valor futuro, todos ellos elementos básicos que el administrador financiero deberá aplicar en los análisis de opciones de inversión o financiamiento.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""11118284""]","[""Dr. Gonzálo Antonio Luna Guerra""]",INTERMEDIATE,Matemáticas financieras,"[""58""]",https://coursera-university-assets.s3.amazonaws.com/b5/8791b86e9b1c577fa9d393a14db946/UNAM.logo.curso.200x48.png,"[""Universidad Nacional Autónoma de México""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6c/a212dc3549455fa03ac5d3473fa59e/Finanzas-2.jpg,"[""es""]","[""Bvu5tA5YEea-IAr_q-y-Qw""]",matematicas,[],,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",aQwvbf6hEe6TbBIDjHnyVw,v2.ondemand,"En un mundo donde la única constante es el cambio, la capacidad de tomar decisiones efectivas en entornos inciertos se ha convertido en un factor crítico para el éxito organizacional. Este curso te ofrece las herramientas, métodos y recomendaciones necesarias para fortalecer tu capacidad de toma de decisiones en situaciones de incertidumbre.

Aquí descubrirás métodos prácticos para definir problemas, explorarás cómo mejorar la toma de decisiones en grupo y, en general, lograrás fortalecer tu capacidad de toma de decisiones en condiciones de incertidumbre, lo cual te permitirá estar más preparado para enfrentar los desafíos del mundo empresarial actual con confianza y agilidad.

Este curso está dirigido a profesionales en posiciones de liderazgo estratégico o táctico que busquen optimizar su capacidad para tomar decisiones efectivas en entornos impredecibles y en constante cambio.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""153094108""]","[""Andrea Castelli""]",INTERMEDIATE,¿Cómo tomar decisiones en tiempos de caos?,"[""715""]",http://coursera-university-assets.s3.amazonaws.com/f3/b7df6d57b944d890a370e7e15b0233/fondo-blanco-1-.png,"[""UBITS""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6a/760cf469b2498cab510831845ece22/Toma-decisiones-en-medio-de-la-incertidumbre---Andrea-Castelli.jpg,"[""es""]",[],como-tomar-decisiones-en-tiempos-de-caos,[],"1 semana de estudio, 2-3 horas/semana",Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",N_IamDfREe6U4g7a-RyA1w,v2.ondemand,"La creación musical y la toma de decisiones en los procesos de producción musical requieren tanto habilidades técnicas como creativas. Con la creciente integración de la inteligencia artificial (IA) en estos procesos, surgen nuevos desafíos y oportunidades para los productores musicales. 
Este curso está diseñado para explorar cómo la IA puede potenciar la creatividad humana en la producción musical. Nos enfocaremos en cómo los productores pueden aprovechar la IA para generar soluciones innovadoras, mejorando la calidad y eficiencia de sus proyectos dentro de las posibilidades tecnológicas actuales. Se hará un recorrido por los aspectos históricos, creativos y técnicos de la producción musical con IA.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""183622317""]","[""Gonzalo Ilutovich""]",BEGINNER,Inteligencia Artificial aplicada a la Producción Musical ,"[""658""]",http://coursera-university-assets.s3.amazonaws.com/e1/1d9e9f5d9b40b398c60cadc2e4770b/logo-up-200x48.png,"[""Universidad de Palermo""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0c/1f956bb7d54e85bdd1ee93bf74dcb1/mezclador-digital-en-un-estudio-de-grabacion-con-una-computadora-para-grabar-musica-en-el-fondo-del-ingeniero-de-sonido-en-el-trabajo-el-concepto-de-creatividad-y-espectaculo-2-.jpg,"[""es""]",[],inteligencia-artificial-aplicada-a-la-produccion-musical,[],3 módulos de estudio: 3/4 horas semanales,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert"", ""Specialization""]",zWx4aZ3YEfCKHRIRRnweFQ,v2.ondemand,"Este curso explora el futuro de la nutrición, el entrenamiento y la tecnología en el fútbol de élite. Los alumnos descubrirán cómo la ciencia de vanguardia, desde la nutrición personalizada hasta la inteligencia artificial y las prácticas sostenibles, está transformando la forma en que los atletas entrenan, se recuperan y alcanzan su máximo rendimiento.

A través del Innovation Lab del Real Madrid y asociaciones científicas pioneras, el curso muestra cómo los datos, la IA y las nuevas tecnologías crean sistemas de rendimiento más inteligentes y adaptativos. Desde la nutrición sostenible y la adaptación al clima hasta el liderazgo, la inteligencia emocional y la colaboración humano-IA, el curso conecta ciencia y práctica para preparar a los profesionales para la próxima era del deporte de élite. Al completarlo, comprenderá cómo afrontar los retos futuros del rendimiento, la salud y la ética en el fútbol, y cómo la innovación puede potenciar tanto la excelencia deportiva como el bienestar humano.","[{""subdomainId"": ""nutrition"", ""domainId"": ""life-sciences""}]","[""163646902""]","[""Marisa Sáenz""]",BEGINNER,El futuro de la nutrición y el entrenamiento en el fútbol ,"[""2135""]",http://coursera-university-assets.s3.amazonaws.com/56/d6e8e5828a4507ad4c1ea4af25cda9/RM_Logo_Principal_Positiveescudo_RGB.png,"[""Real Madrid Graduate School Universidad Europea""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5c/a06f1430c6486b908cd511fe0c49b3/251112-Spe-5-C4.jpg,"[""es""]","[""QgNNunoZQAS4DOPHGRGe9A""]",el-futuro-de-la-nutricion-y-el-entrenamiento-en-el-futbol,[],,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",55uZwJFTEeyw3RKLNRxAsw,v2.ondemand,"En este curso, aprenderás a usar las ponderaciones de las encuestas para estimar estadísticas descriptivas (como medias y totales) y cantidades más complejas (como parámetros de modelos para regresiones lineales y logísticas).  Se explicarán las capacidades de software, haciendo especial hincapié en R®.  El curso también abarcará nociones básicas sobre vinculación de registros y búsqueda de coincidencias estadísticas, dos procesos que son cada vez más importantes para combinar datos de fuentes distintas.  En el curso, también se exploran los problemas éticos que suscrita la combinación de conjuntos de datos.  Es posible que haga falta obtener el consentimiento informado de las personas para que permitan la vinculación de sus datos. Conocerás las diferencias entre los requisitos legales de distintos países.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""8394050""]","[""Richard Valliant, Ph.D.""]",,Cómo combinar y analizar datos complejos,"[""32""]",http://coursera-university-assets.s3.amazonaws.com/9b/d0628a6fff48e0ab8d267da710e8ba/Coursera_UMDInformal_360x360-neww.png,"[""University of Maryland, College Park""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/aa/902980f75a11e5a5175d8aed3cf3b0/AdobeStock_83781931.jpg,"[""es""]",[],data-collection-analytics-project-es,[],,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",I4PrIvEQEeq18hLhVDIb3w,v2.ondemand,"En un mundo de fuerte competitividad global, como el que atravesamos hoy en día, con entornos tan complejos y cambiantes, de alta incertidumbre y volatilidad, con fuertes exigencias en adaptabilidad de sectores y mercados; los modelos de negocios predictivos tradicionalmente aplicados en el mundo empresarial con foco de expertise en el negocio, empiezan a ser estrategias poco efectivas y flexibles para la obtención de una competitividad sustentable.

En este contexto, es que en el mundo empresarial, se produjo una fuerte orientación a buscar capacidades organizacionales ágiles y adaptativas que mejor se adecuaran a los entornos y mercados inciertos, que tuvo su origen en el desarrollo de proyectos complejos, con estructuras más planas, informales y autónomas; permitiendo un mejor equilibrio entre las capacidades de innovación y las de explotación. 

Durante el curso realizaremos una introducción de la filosofía ágil y de la dinámica SCRUM como base de marco conceptual, conoceremos sus usos y alcances más frecuentes, vivenciaremos la aplicación de los modelos de mejores prácticas organizacionales, y desarrollaremos las oportunidades competitivas diferenciales, así como los desafíos más importantes a la hora de su implementación en la organización.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""71329430""]","[""Julio Sanchez Loppacher""]",BEGINNER,Modalidades organizacionales ágiles en base a la Metodología Scrum,"[""350""]",https://coursera-university-assets.s3.amazonaws.com/9c/e0e7905dce11e681cc61a25a974453/Logo-Austral-Pantone-H-200x48.png,"[""Universidad Austral""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a7/228e8eba9845958a8f07c4e2b7c3e7/Logo-Coursera.png,"[""es""]",[],metodologia-scrum,[],,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert"", ""Specialization""]",9PuIsMpGEe257Q7_Z0q7AQ,v2.ondemand,"¿Cuáles serán los principales retos a la hora de gestionar personas en las organizaciones modernas?, ¿cuál es el papel de la digitalización y la globalización a la hora de organizar los recursos humanos? En este curso se abordan estas cuestiones desde una visión aplicada al mundo del trabajo y desde una perspectiva multicultural. Para ello se abordan las cuestiones clave relacionadas con las principales competencias que se solicitarán a los profesionales al frente de las organizaciones. Se analizarán de forma crítica aspectos como: la negociación, la resiliencia organizativa, el liderazgo o el trabajo remoto, entre otros.","[{""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""39462828"", ""126124438"", ""127532484"", ""130463793""]","[""Irene Carracedo Gil"", ""César Luis Fernandez Llano"", ""Rafa Díaz Cortinas"", ""Míriam Diez Piñol""]",BEGINNER,Competencias clave para profesionales de Recursos Humanos,"[""80""]",http://coursera-university-assets.s3.amazonaws.com/b5/16b08ad9e540948d9d2416bab1ce66/2.-Wide-logo-Marketing.png,"[""Universitat Autònoma de Barcelona""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/41/1711606f864cc18a590fa004d9741a/Logo-PTO6.png,"[""es""]","[""ILE7hpPMSWi7F73jeHdSdw""]",competencias-clave-profesionales-recursos-humanos,[],"4 semanas de estudio, 2 horas por semana",Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",OoKpg2OhEe6uFw4htkevVQ,v2.ondemand,"La era digital ha cambiado la forma en que las personas interactúan con la información y el conocimiento.

Cada vez es más común tener fácil acceso a los grandes bancos de información, lo que ha aumentado la demanda de herramientas y tecnologías que permitan una búsqueda y acceso más eficiente a la información.

En este contexto, el conocimiento básico sobre ChatGPT se ha vuelto fundamental para muchas personas, ya que se trata de una tecnología avanzada de lenguaje que permite a los usuarios interactuar con la información de manera más natural y eficiente.

ChatGPT es un modelo de lenguaje desarrollado por OpenAI que ha sido entrenado con millones de documentos y páginas web para responder preguntas y brindar información en tiempo real. Esta tecnología permite a los usuarios obtener información y conocimiento de manera más rápida y precisa que la búsqueda manual en línea. Además, ChatGPT también puede ser utilizado para realizar tareas como la generación de texto, la traducción de idiomas, el análisis de textos propios y en general la resolución de problemas.

Tener conocimientos básicos sobre ChatGPT es es crucial en la era digital, ya que permite a los usuarios interactuar de manera más eficiente con la información en general. Esto es especialmente importante para aquellos que dependen de volúmenes importantes de información para su trabajo o para tomar decisiones importantes en su vida diaria.

Por lo tanto, es importante que aprendas a utilizar esta herramienta y sacarle el máximo provecho para mejorar la productividad empresarial y este curso te ofrece lo necesario para poder tener los conocimientos necesarios para poder mejorar la eficiencia y efectividad en varios procesos en la vida laboral diaria gracias al ChatGPT.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""139593616"", ""31859223""]","[""Guillermo del Jesús Valdez Ramayo"", ""Karim Fernando Pedro Fernandez""]",BEGINNER,Productividad Empresarial con IA: ChatGPT,"[""1489""]",http://coursera-university-assets.s3.amazonaws.com/b2/712e63a3604218b8ca125b504d359c/Logo-Red-de-Universidades-Anahuac-color-copy.png,"[""Universidades Anáhuac""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/eb/678e1b474245769f90d331f30eb8d8/course_image.jpg,"[""es""]",[],productividad-empresarialchatgpt,[],3-4 semanas,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",U-ltZQBvEe2xiRKaoDccyw,v2.ondemand,"Gracias a este curso aprenderás a desarrollar un mapa de empatía en Miro. Miro es una herramienta que te permite utilizar pizarras virtuales infinitas y a colaborar en tiempo real con todo tu equipo, independientemente de donde se encuentren. 
Para ello, te guiaremos desde cero para que aprendas que es un mapa de empatía, como puede ayudarte a entender mejor a tu cliente objetivo y a como desarrollarlo con algunos casos de uso real. Después avanzaremos con Miro, desde el manejo básico, la utilización de plantillas, hasta funcionalidades avanzadas y desarrollo de workshops de empatía en Miro.
Finalmente desarrollarás un proyecto de  principio a fin donde utilices todo lo aprendido acerca del mapa de empatía y de Miro.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""46454754""]","[""Leire Ahedo""]",BEGINNER,Mapa de empatía en Miro,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/30/4f62c580544e21ba4d16c3fd0eb37b/imagenPortada.jpg,"[""es""]",[],mapa-de-empata-en-miro,[],2 horas,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert"", ""Specialization""]",gs0916foEeinLg4Ioj00GA,v2.ondemand,"La computación evolutiva (evolutionary computation, EC), aplica la teoría de la evolución natural y la genética en la adaptación evolutiva de estructuras computacionales, proporcionando un medio alternativo para atacar problemas complejos en diversas áreas, como la ingeniería, economía, química, medicina y, porque no, las artes. Una población de posibles soluciones de un problema dado es análoga a una población de organismos vivos que evolucionan cada generación, al recombinar los mejores individuos de la población y transmitir sus características de dichos individuos padres, a sus descendientes. En este campo, diferentes esquemas de métodos evolutivos se han desarrollado, los cuales difieren en el tipo de estructuras que conforman la población.
Algoritmos evolutivos (AE), como también se le conoce al cómputo evolutivo (EC), se definen como métodos de optimización y búsqueda, los cuales están inspirados y tratan de imitar de manera parcial los procesos de la evolución natural, y mantienen una población de estructuras que evolucionan de acuerdo a reglas de selección y otros operadores genéticos, como cruzamiento y mutación (Bäck, 1996).
Los algoritmos evolutivos no son los únicos métodos de optimización propuestos a partir de sistemas biológicos. Se tiene una variedad de algoritmos de optimización, que tratan de imitar el comportamiento de sistemas naturales, como las colonias de hormigas, algoritmos culturales y optimización por cúmulos de partículas, entre otros. De aquí surge lo que se conoce como algoritmos bioinspirados, ya que toman sus bases a partir de la estructura de procesos y sistemas biológicos: la evolución, la selección natural, comportamiento social de animales, como las hormigas, abejas, peces.

BÄCK, T. (1996) Evolutionary Algorithms in Theory and Practice. Oxford University Press. DARWIN, C. (1859) On the Origin of Species by Means of Natural Selection, or the Preservation of Favoured Races in the Struggle for Life, John Murray.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""31886562""]","[""Katya Rodríguez Vázquez""]",INTERMEDIATE,Cómputo evolutivo,"[""58""]",https://coursera-university-assets.s3.amazonaws.com/b5/8791b86e9b1c577fa9d393a14db946/UNAM.logo.curso.200x48.png,"[""Universidad Nacional Autónoma de México""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/21/48c4d848d24fb2875c4789a2664f44/IA_5.jpg,"[""es""]","[""child~-uQmqzdQEeyQXQ6RyTnMSw""]",computo-evolutivo,[],"4 semanas, 3 a 5 horas por semana.",Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",qi1iC49MEeySRg4Nwg3igw,v2.ondemand,"Al final de este proyecto, tendrá todas las habilidades básicas para crear un panel de inspiración para su marca utilizando Canva, una herramienta en línea para crear y editar imágenes de marketing. Podrá definir su identidad de marca y lograr diseñar sus proyectos exitosos y creativos utilizando las diversas herramientas de diseño, colores y gráficos que ofrece Canva.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""26958800""]","[""Sara Nefzaoui""]",BEGINNER,Crear un panel de inspiración para su marca con Canva,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/51/ccfe1c452e41b1bd5caa2005c2dba9/Untitled-1200-x-1200-px-1-.png,"[""es""]",[],crear-panel-inspiracion-marca-con-canva,[],2 hours,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert"", ""Specialization""]",koVAwj03EeWZtA4u62x6lQ,v2.ondemand,"Are you a business executive or a manager who uses English in your career? Then you know that good business communication in English requires focus, vocabulary, and specific linguistic structures. In this course, you will follow along a recently promoted manager as she builds and leads her team to success. Together, you will practice the language and styles of communication  needed in English for: 
•	Recruiting and training a professional team to work together with integrity and respect
•	Managing and participating in well-organized meetings
•	Making telephone conferences more efficient
•	Writing professional emails that are easy to read
The activities in this course will give you the opportunity to share your experience and receive immediate feedback from other business professionals around the world.

¿Es usted un ejecutivo de negocios o gerente que utiliza inglés en su profesión? Entonces Ud. sabe que la buena comunicación empresarial en inglés exige los enfoques, el vocabulario y las estructuras lingüísticas específicas. En este curso, Ud. seguirá, a lo largo con un gerente recién promovido, como ella construye y conduce a su equipo hacia el éxito. Juntos, ustedes practicarán el lenguaje y los estilos de comunicación en inglés necesarios para:
·       Reclutar y el entrenar a un equipo profesional a trabajar juntos con integridad y respeto
·       Manejar y participar en las reuniones bien organizadas
·       Hacer que las conferencias telefónicas sean más eficaz
·       Escribir correos electrónicos profesionales que sean fáciles de leer
Las actividades en este curso le dan la oportunidad de compartir su experiencia y recibir retroalimentación inmediata de otros profesionales empresariales en todo el mundo.","[{""domainId"": ""language-learning"", ""subdomainId"": ""learning-english""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""13730176"", ""14184517"", ""13774774""]","[""Wanda Huber"", ""Andrea Mürau Haraway"", ""Jenny Young""]",,Inglés Empresarial: Gestión y Liderazgo ,"[""287""]",,"[""Arizona State University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8b/4446d061e911e5ac2f81e29d413c5a/Teamwork.jpg,"[""es""]","[""-PBM4GCrEeWGkQogYfEAaw""]",ingles-empresarial-gestion-liderazgo,[],,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",7vDNcyBwEfCjJgr_y779sQ,v2.ondemand,"El francés, noveno idioma más hablado y oficial en 33 países, es clave en empresas, gobiernos y ONG’s. En este curso adquirirás bases sólidas para comunicarte con francófonos: hablar del clima, pedir en restaurantes o tiendas, y desenvolverte en diversas situaciones. Aprenderás verbos básicos como être y avoir, pronunciación, conjugaciones en presente, pasado y futuro, además de vocabulario esencial como números, colores y expresiones comunes. Contarás con profesores nativos con amplia experiencia. El curso está diseñado para quienes desean viajar, vivir o trabajar en países francófonos, o fortalecer su perfil profesional. Al finalizar, podrás aplicar con confianza los conocimientos adquiridos.","[{""domainId"": ""language-learning"", ""subdomainId"": ""other-languages""}]","[""191310469"", ""191314220""]","[""Yvonne A. de Suin"", ""Stéphane Suin""]",BEGINNER,Francés Introductorio,"[""1489""]",http://coursera-university-assets.s3.amazonaws.com/b2/712e63a3604218b8ca125b504d359c/Logo-Red-de-Universidades-Anahuac-color-copy.png,"[""Universidades Anáhuac""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/90/12aab00dd04a818334459c291512e6/course_image.png,"[""es""]",[],frances-introductorio,[],5 horas a la semana,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert"", ""Specialization""]",Xx0WYUDXEeuofRLHWX896w,v2.ondemand,"Tomar decisiones en el mundo de hoy, un mundo en creciente complejidad, con amplios cambios e incertidumbre, crea la necesidad de contar con aproximaciones que nos permitan discernir los verdaderos problemas y las causas que los originan. Identificar cuáles son estos problemas, requiere en la mayoría de los casos, retar las suposiciones en las que basamos nuestros juicios, respecto al mundo y sus realidades.

Podríamos definir el pensamiento crítico, como “ese modo de pensar- sobre cualquier tema, contenido o problema- en el cual el pensante mejora la calidad de su pensamiento al apoderarse de las estructuras inherentes del acto de pensar y al someterlas a estándares intelectuales”. El pensamiento critico ayuda en la toma de decisiones en una empresa, en la selección de la mejor acción para la organización.

En este curso de pensamiento critico el estudiante aprenderá a conocer sus tendencias, aproximaciones y suposiciones en las que se basan sus reflexiones y las condiciones y sus resultados derivados de sus formas de pensar. Este pensamiento reflexivo es el examen activo, cuidadoso y persistente, de toda creencia a la luz de los fundamentos que la sostiene y las conclusiones a las que tiende.

Las decisiones razonadas que requiere el mundo, se dan en muy diversos ámbitos, especialmente en las decisiones de negocio, relacionadas con las estrategias, en la solución de problemas en las organizaciones, en la solución de problemas sociales y la responsabilidad social y ética de las corporaciones. En este curso en línea las aproximaciones estarán orientadas a analizar el pensamiento crítico requerido para estos ámbitos","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""82205637""]","[""Eduardo Pérez Gorostieta""]",INTERMEDIATE,Pensamiento crítico: toma de decisiones razonadas,"[""62""]",https://coursera-university-assets.s3.amazonaws.com/9b/15be10393911e49662495adbabc20c/wide_logo_200x48_tec_transparente.png,"[""Tecnológico de Monterrey""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a5/6a66f7bec4498d94e2f02ffbf8fe6b/Pensamientocriticoytomadedesiones.jpg,"[""es""]","[""SSBMaoKaEeuiORJ-xgt2RQ""]",pensamiento-crtico-toma-de-decisiones-razonadas,[],"4 semanas de estudio, 5-8 horas/semana",Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",h0Ngeyu3EemNFQpLsVDzbg,v2.ondemand,"En el siguiente curso aprenderás cómo se desarrolla la enseñanza en diversos escenarios clínicos, desde el punto de vista del alumno y del docente.  Comenzando primeramente con una visión general de la enseñanza médica tradicional y cómo ha ido evolucionando a través del tiempo, tomando en cuenta los factores que se evalúan.

De este modo, podrás analizar qué elementos son importantes a considerar en la evaluación de los aprendizajes que vayas adquiriendo durante tu carrera médica (en caso de que seas estudiante) o, si eres docente, qué debes de evaluar y porqué.

Este curso fue un consorcio del Tecnológico de Monterrey, Universidad Nacional Autónoma de México y Universidad Autónoma de Yucatán, financiado por el programa de subsidios de América Latina de la National Board of Medical Examiners.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""18354286"", ""11234398"", ""45392928"", ""44917859"", ""43642573"", ""44923525"", ""44635872"", ""3013718"", ""2639734"", ""2520751"", ""12072946"", ""44333368"", ""43642678"", ""48333448""]","[""Adrián Martínez González"", ""Carlos Gutiérrez-Cirlos Madrid"", ""César Alberto Lucio Ramírez"", ""Elena Ríos Barrientos"", ""Gabriela Bautista Rodríguez"", ""Ismael David Piedra Noriega"", ""Jorge E. Valdez García"", ""Juan Pablo Nigenda Alvarez"", ""Luis Fernando Kieffer Escobar"", ""Melchor Sánchez Mendiola"", ""Mildred López"", ""Ramón Ignacio Esperón Hernandez"", ""Silvia Lizett Olivares Olivares"", ""Irma Elisa Eraña-Rojas""]",INTERMEDIATE,Evaluación del Aprendizaje en Escenarios Clínicos,"[""62""]",https://coursera-university-assets.s3.amazonaws.com/9b/15be10393911e49662495adbabc20c/wide_logo_200x48_tec_transparente.png,"[""Tecnológico de Monterrey""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/34/21fb988a494689b055590d3f53eeb1/logotipo-coursera.jpg,"[""es""]",[],evaluacion-aprendizaje-escenarios-clinicos,[],"5 semanas de estudio, 5 a 6 horas/semana.",Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",XmB-9kSWEe-tyBLpjSdnBw,v2.ondemand,"En este curso, aprenderás a transformar presentaciones llenas de datos y hechos en narrativas emocionantes y significativas que crean experiencias memorables. Dirigido a líderes y altos ejecutivos que desean actualizar sus procesos de comunicación para enfrentar los retos actuales, este curso te proporcionará herramientas para sincronizar las ondas cerebrales de tu audiencia, activar sus emociones y motivar a la acción. 

A través del arte del storytelling, comprenderás que algunos elementos como personajes, contextos y conflictos se pueden combinar para transmitir mensajes poderosos e inolvidables. Comprenderás cómo utilizar secuencias emocionales narrativas, y recibirás consejos prácticos para cada etapa de la creación de tus presentaciones, desde la concepción de la idea hasta la ejecución final. Con estos conocimientos elevarás el impacto de tus discursos, serás capaz de crear presentaciones que no solo informen, sino que también inspiren y motiven.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""13501560""]","[""Iván Rodríguez ""]",ADVANCED,Storytelling avanzado: comunicación de alto impacto,"[""715""]",http://coursera-university-assets.s3.amazonaws.com/f3/b7df6d57b944d890a370e7e15b0233/fondo-blanco-1-.png,"[""UBITS""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/63/86ea3667354a5ba5d695d26942298a/PC487-6_Storytelling-avanzado_-comunicacion-de-alto-impacto.jpg,"[""es""]",[],storytelling-avanzado-comunicacion-de-alto-impacto,[],"1 semana de estudio, 3 horas/semana",Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",4q-WyKE4Eeq6sw53XZdVoQ,v2.ondemand,"¡Te damos la bienvenida al curso de Programación en Python de la Universidad de los Andes!

El propósito de este curso es ofrecerte un ambiente interactivo para que desarrolles tus habilidades de pensamiento computacional, aprendas a programar en el lenguaje Python y te entrenes en la resolución de problemas utilizando un computador. La estrategia pedagógica empleada es el aprendizaje activo basado en casos. Es un curso altamente interactivo que constantemente te retará a responder preguntas, verificar tu comprensión, ejercitarte en escritura de código de programación, resolver casos de diferente complejidad y múltiples oportunidades para pasar de la teoría a la práctica, con actividades formativas, con las cuales desarrollarás habilidades de abstracción y de programación.

Además, podrás utilizar PyTips, una aplicación web desarrollada por la Universidad de los Andes, novedosa e importante para el desarrollo de habilidades de programación, donde encontrarás una lista de errores comunes que se cometen al aprender a programar en Python y te permite corregirlos de manera que puedas aprender de ellos.

Ten en cuenta que el tiempo estimado para la realización de las actividades de cada módulo es de 15 horas en promedio. Tú puedes invertir este tiempo en un periodo de 1 o 2 semanas por módulo, de acuerdo con tus posibilidades y necesidades educativas. Así mismo te recomendamos que desarrolles todas las actividades educativas en el orden propuesto, de manera que pueda sacar mejor provecho de este curso.

Este curso es para toda persona que desee aprender a programar, aunque nunca lo haya hecho. Se requiere un mínimo de bases matemáticas y muchas ganas de aprender y trabajar.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""36857"", ""23948080"", ""62186367"", ""19582809""]","[""Mario Sánchez Puccini"", ""Andrés Felipe Melani De La Hoz"", ""Andrea Herrera Suescún"", ""Marcela Hernández Hoyos""]",BEGINNER,Programación en Python,"[""273""]",https://coursera-university-assets.s3.amazonaws.com/8d/edebd063d211e5b41af519d346e372/logoUniandesAmarillo200x48.png,"[""Universidad de los Andes""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cb/53fff4c80c4fb0b710518f4f6bbd78/Phyton_opcion1.jpg,"[""es""]",[],programacion-python,[],"15 horas por cada uno de los 4 módulos, los cuales pueden desarrollarse en periodos de 1 o 2 semanas",Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert"", ""Specialization""]",MBIKySrHEeyxgAr51Gjbpw,v2.ondemand,"Este es el séptimo curso del Certificado de análisis computacional de datos de Google. En estos cursos obtendrás las habilidades necesarias para solicitar empleos de analista de datos de nivel introductorio. En este curso, aprenderás el lenguaje de programación conocido como R. Además, se profundizará en cómo usar RStudio, el entorno que te permite trabajar con R, y se cubrirán temas como las aplicaciones y las herramientas de software que son exclusivas para R, como los paquetes de R. Descubrirás cómo R te brinda más alternativas para limpiar, organizar, analizar, visualizar e informar los datos con mayor eficacia.  Los analistas de datos actuales de Google seguirán dándote instrucciones y te proporcionarán formas prácticas de llevar a cabo las tareas comunes de los analistas de datos con las mejores herramientas y recursos.

Los alumnos que completen este programa de certificados estarán listos para solicitar trabajos de nivel introductorio como analistas de datos. No se requiere experiencia previa.

Al final de este curso, serás capaz de:
 - Analizar los beneficios de usar el lenguaje de programación en R.
 - Descubrir cómo usar RStudio para aplicar R en tus análisis. 
 - Explorar los conceptos básicos relacionados con la programación en R. 
 - Explorar el contenido y los componentes de los paquetes de R, incluido el paquete Tidyverse.
 - Comprender las tramas de datos y su uso en R.
 - Descubrir las opciones de generación de visualizaciones en R.
 - Aprender sobre R Markdown para documentar la programación en R.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,Análisis de datos con programación en R,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/66/54457104d64eb48d1dcde09e862555/DA7-Data-Analysis-with-R-Programing.png,"[""es""]","[""_4aTt61yEe2-UQ5ft5UA3w"", ""hXUHfDgkEeylXgqHwJpmyQ""]",analisis-de-datos-con-programacion-en-r,[],,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert"", ""Specialization""]",IteS61JIEe6MRw5v85QxTw,v2.ondemand,"En este curso podrás identificar los diferentes elementos de la gobernanza de datos, gobernanza democrática y el liderazgo en una organización basada en datos. Además, podrás reconocer los principios de las organizaciones basadas en datos para poder planificar y tomar decisiones basadas en evidencia.

A través de actividades prácticas con casos para aplicar el contenido del curso, lograrás reconocer herramientas de evaluación basadas en datos que permitan visualizaciones eficaces para analizar, interpretar y comunicar datos.

Si eres una persona interesada en datos pero no tienes experiencia previa o quieres reforzar los conocimientos ya adquiridos, ¡este curso es para ti!

Este curso forma parte de una Especialización, te recomendamos realizar los cursos en el orden sugerido:
1) Uso de datos en las organizaciones del S.XXI:
2) Gestiona un proyecto de datos en tu organización 
3) Estrategias efectivas en organizaciones data-driven","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""130348962"", ""90866567""]","[""Andrea Barenque"", ""Claudia Useche""]",BEGINNER,Estrategias efectivas en organizaciones data-driven,"[""825""]",http://coursera-university-assets.s3.amazonaws.com/c6/7ea86e2647454b88429edfd80dff45/Logo_wide.png,"[""Banco Interamericano de Desarrollo""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8a/451a23f3aa454dbceb19a9515feb26/curso-3-logotipo1200x1200-copia.jpg,"[""es""]","[""ATbgh_wnSC6an3WtcAvVoA""]",estrategias-efectivas-en-organizaciones-data-driven,[],,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",spEK1qipEem5rRK9OOkIhA,v2.ondemand,"Bienvenidos a este curso de introducción al Lenguaje de Modelado Unificado, o UML por su sigla en inglés. Este curso surge como respuesta a la necesidad de los ingenieros de software de desarrollar la habilidad de abstraer y representar en un modelo problemas o soluciones. Esta habilidad es especialmente importante en el mundo del software donde las tecnologías son tan cambiantes. Un modelo te provee una forma de comunicar y validar un entendimiento, independiente de la tecnología en la que construirás una solución.
Al finalizar el curso, los estudiantes estarán en condiciones de comunicar sus diseños a otros miembros de un equipo de desarrollo o a otros equipos de desarrollo.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""26422763"", ""40544520""]","[""Juan Pablo Reyes Gómez"", ""Rubby Casallas""]",BEGINNER,Introducción a UML,"[""273""]",https://coursera-university-assets.s3.amazonaws.com/8d/edebd063d211e5b41af519d346e372/logoUniandesAmarillo200x48.png,"[""Universidad de los Andes""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/db/00f7d7d51348529ad0323db833cd55/Cuadrado.png,"[""es""]",[],uml,[], 5 horas a la semana por 4 semanas,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",eBUA_qtIEeyiqQr1qP1QDw,v2.ondemand,"El buen gobierno corporativo o corporate governance ha experimentado en los últimos años a nivel general diversos cambios de enfoque que puede observarse en los tres ámbitos que examinamos, el internacional -entendido como tal el que va más allá de las fronteras de la UE-, el europeo y el español, aunque existen matices diversos. Del modelo más clásico, basado en el modelo de mejora de la junta general y el consejo de administración en las sociedades cotizadas, basado principalmente en el principio cumplir o explicar, se pasó a una preponderancia de los factores ESG, con especial atención a la sostenibilidad. La etapa más reciente responde a un replanteamiento basado en la simplificación normativa para corregir algunos excesos normativos.","[{""subdomainId"": ""law"", ""domainId"": ""social-sciences""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""31963424"", ""30208187"", ""193470338"", ""32528545"", ""104006693"", ""32533076"", ""32523753""]","[""Jorge Miquel Rodríguez"", ""Miriam Cugat Mauri"", ""Fermín Morales Prats"", ""Adoración Pérez Troya"", ""Maria José Pifarré de Moner"", ""Francisco Mercadal Vidal"", ""Inma Valeije Alvarez""]",BEGINNER,Corporate governance. Retos y realidades,"[""80""]",http://coursera-university-assets.s3.amazonaws.com/b5/16b08ad9e540948d9d2416bab1ce66/2.-Wide-logo-Marketing.png,"[""Universitat Autònoma de Barcelona""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c4/125fdbb0b3413f81d0cadadc98183f/CG2.png,"[""es""]",[],corporate-governance-retos-realidades,[],4-5 horas por semana,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert"", ""Specialization""]",gVVTMUv0Ee6pFg5BQAqraQ,v2.ondemand,"Este curso te brindará las herramientas necesarias para identificar las bases y condiciones al implementar proyectos de datos en organizaciones del sector público o privado. 

A partir de un análisis de los activos de datos, procesos, recursos y metodologías podrás reconocer métodos o buenas prácticas en el ciclo de vida de proyectos de datos para tener las bases teóricas y prácticas del diseño e implementación.

Este curso está pensado especialmente para todas aquellas personas que tengan interés en gestionar proyectos de datos, sin importar el nivel de experiencia que tengan con el tema. Si es tu primer acercamiento al mundo de los datos, ¡este curso es para ti! 

Este curso forma parte de una Especialización, te recomendamos realizar los cursos en el orden sugerido:
1) Uso de datos en las organizaciones del S.XXI:
2) Gestiona un proyecto de datos en tu organización 
3) Estrategias efectivas en organizaciones data-driven","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""91239006"", ""90866567""]","[""Florencia Serale"", ""Claudia Useche""]",BEGINNER,Gestiona un proyecto de datos en tu organización​,"[""825""]",http://coursera-university-assets.s3.amazonaws.com/c6/7ea86e2647454b88429edfd80dff45/Logo_wide.png,"[""Banco Interamericano de Desarrollo""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/dd/3a2e879c7149d9b8bfa2e7f3255fe5/Curso-2-logotipo1200x1200SIN-TEXTO.jpg,"[""es""]","[""ATbgh_wnSC6an3WtcAvVoA""]",gestiona-un-proyecto-de-datos-en-tu-organizacion,[],,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",ijZK-y2_Eeyjtw7aZIoBxw,v2.ondemand,"En este curso profundizaremos en las herramientas que ofrece Tableau en las áreas de gráficos, fechas, cálculos de tablas y realización de mapas. Exploraremos las mejores opciones para gráficos, según el tipo de datos que esté utilizando. Examinaremos tipos específicos de gráficos, incluidos diagramas de dispersión, diagramas de Gantt, histogramas, diagramas de viñetas, y abordaremos las pautas de creación de gráficos. Definiremos fechas discretas y continuas, y examinaremos cuándo usar cada una para explicar sus datos. Aprenderemos a crear cálculos de tabla personalizados y a crear parámetros. También presentaremos la cartografía y exploraremos cómo Tableau puede usar diferentes tipos de datos geográficos, cómo conectarse a múltiples fuentes de datos y cómo crear mapas personalizados.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""electrical-engineering""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""128562591""]","[""Nestor Coppolillo""]",BEGINNER,Análisis visual con Tableau,"[""350""]",https://coursera-university-assets.s3.amazonaws.com/9c/e0e7905dce11e681cc61a25a974453/Logo-Austral-Pantone-H-200x48.png,"[""Universidad Austral""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/dc/3a6831c10349a6baba4e3aeddf5f3f/Logo.png,"[""es""]",[],anlisis-visual-con-tableau,[],,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",zpKcjKfJEeiS7RI0Mi1tOA,v2.ondemand,"Este es un curso de modelización cuantitativa pensado para su aplicación en el ámbito de finanzas corporativas.  En este curso aprenderás cómo explotar de la mejor forma los datos que alimentan a los modelos financieros. 
En la ""era de los datos"", cada vez más las organizaciones cuentan con información que pueden ser explotada para enriquecer la modelización financiera.  Apoyándonos en métodos estadísticos y de modelización, en este curso aprenderás a proyectar variables de interés, a realizar predicciones, a medir y a evaluar la implicancia de riesgos. También aprenderás criterios para la toma decisiones, basadas en la evaluación de escenarios con incertidumbre. Aplicaremos herramientas básicas de análisis estadístico, métodos de regresión simple y multivariado, técnicas de series de temporales, y de predicción frente a una gran cantidad de variables explicativas, entre otras herramientas que estudiaremos con el foco en aplicaciones financieras.  Implementaremos los modelos más simples en Excel, y ganaremos agilidad en estimaciones más complejas usando R. 

Este es el segundo curso de la serie de Finanzas Corporativas ofrecido por la Universidad Austral.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""78962648""]","[""Ricardo Pasquini""]",BEGINNER,Modelización Cuantitativa para Finanzas Corporativas,"[""350""]",https://coursera-university-assets.s3.amazonaws.com/9c/e0e7905dce11e681cc61a25a974453/Logo-Austral-Pantone-H-200x48.png,"[""Universidad Austral""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ac/fdfe6ffef44fe3bad3522c235b980a/Logo-version-final.png,"[""es""]",[],modelizacion-cuantitativa-para-finanzas-corporativas,[],La carga de trabajo estimada es de entre 2 a 5 horas por semana,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert"", ""Specialization""]",fxTUH5jWEfCghgr__zRXCw,v2.ondemand,"Este curso te introduce al vocabulario clave, gramática avanzada y habilidades comunicativas necesarias para diagnósticos dentales y tratamientos orales. Practica con situaciones reales y mejora tu capacidad de interacción en contextos médicos.

This course offers an introduction to essential vocabulary, advanced grammar, and communication skills for dental diagnoses and oral treatments. Engage in real-world scenarios to strengthen your ability to interact confidently in medical settings.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}]","[""199680788""]","[""Rocío Ríos Rojas ""]",INTERMEDIATE,Topics of Medical Spanish III: Dentistry and Oral Health,"[""1489""]",http://coursera-university-assets.s3.amazonaws.com/b2/712e63a3604218b8ca125b504d359c/Logo-Red-de-Universidades-Anahuac-color-copy.png,"[""Universidades Anáhuac""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8b/57df69660a4d5fac0bdcb84922547c/1200-X-1200.png,"[""es""]","[""My8knExzRQO0DvKceE97Bg""]",topics-of-medical-spanish-iii-dentistry-and-oral-health,[],4-6 hours/week ,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",BW0TkFv6Ee6T4g5G6GUacQ,v2.ondemand,"Este curso te brindará la oportunidad de fortalecer tus habilidades digitales y mejorar tu empleabilidad. Aprenderás programación en HTML, CSS y JavaScript, adquiriendo los conocimientos necesarios para dar tus primeros pasos en el mundo de la tecnología.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""62886430"", ""64956439""]","[""Lilia Odeth Casanova Estrada"", ""Ana Cecilia Vidaña Montes""]",BEGINNER,Desarrollo Web Interactivo,"[""62""]",https://coursera-university-assets.s3.amazonaws.com/9b/15be10393911e49662495adbabc20c/wide_logo_200x48_tec_transparente.png,"[""Tecnológico de Monterrey""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2d/d53450b36c4628932b0037280cb763/portadas-desarrollo-web-interactivo-1200x1200.png,"[""es""]",[],desarrollo-web-interactivo,[],"3 semanas de estudio, 5-7 horas/semana",Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert"", ""Specialization""]",AnFxEKhVEe-fxxKaeQ4IUw,v2.ondemand,"Desarrolla la mentalidad necesaria para sobresalir en ventas, entender el mercado y tomar decisiones informadas respecto a tu estrategia comercial. En este curso aprenderás a aplicar diferentes estrategias y herramientas clave para mejorar la competitividad y el crecimiento de tu negocio. A través de cuatro módulos, te adentrarás en el rol del Business Developer, la técnica de benchmarking, la investigación de mercados y la identificación de las necesidades del nuevo consumidor. ¡Prepárate para transformar tu enfoque comercial y alcanzar tus metas con éxito!","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""170988743"", ""171004524"", ""171307744""]","[""Macarena Becerra"", ""Carlos Olave"", ""Ana Janevich""]",INTERMEDIATE,Sales mindset y análisis de mercado,"[""715""]",http://coursera-university-assets.s3.amazonaws.com/f3/b7df6d57b944d890a370e7e15b0233/fondo-blanco-1-.png,"[""UBITS""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5a/aa725369b345a0907e5718f172a3dd/1.-Sales-Mindset-y-analisis-de-mercado-4-.png,"[""es""]","[""1SkoNr7xS7Gj6EfuZ6MPbQ""]",sales-mindset-y-analisis-de-mercado,[],"2 semana de estudio, 6 horas/semana",Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",jVnLfCzLEe-YcA77IVc2yQ,v2.ondemand,"¿Te interesa descubrir cómo la transformación digital está revolucionando el sector agroalimentario en América Latina y el Caribe? 

Este curso te permitirá identificar los desafíos y oportunidades que la digitalización y la innovación tecnológica ofrecen en el sector Agrifoodtech. De la mano de especialistas de BID Invest y expertos de la industria, explorarás herramientas y mejores prácticas que destacan las oportunidades de crecimiento y sostenibilidad para startups y empresas en la región.

Al finalizar el curso, comprenderás el impacto de la transformación digital en la productividad, la sostenibilidad y el acceso al financiamiento en el sector agroalimentario, y estarás preparado para liderar el cambio hacia un ecosistema Agrifoodtech más innovador y sostenible.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""116252525"", ""164942534""]","[""David Brogeras"", ""Carlos Narváez""]",BEGINNER,Impacto digital sostenible: ecosistemas de startups AgriTech,"[""825""]",http://coursera-university-assets.s3.amazonaws.com/c6/7ea86e2647454b88429edfd80dff45/Logo_wide.png,"[""Banco Interamericano de Desarrollo""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/98/94e2c1bba54539a6dab0cc38b6e8a4/Logo.png,"[""es""]",[],impacto-digital-sostenible-ecosistemas-de-startups-agritech,[],"3 semanas de estudio, 4 horas/ semana",Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",m7mose1KEeqNyQr14bXqFw,v2.ondemand,"En este curso aprenderás los conocimientos básicos de reacciones químicas, lo cual te permitirá tener una mejor comprensión del estudio de la química, así como de la naturaleza. 
En general la mayoría de la gente le tiene miedo a la palabra química; sin embargo, debido a que la química es una ciencia central es necesario comprenderla y hacerla nuestra amiga. 
En este curso podrás adentrarte a las reacciones químicas y cálculos de una manera gradual y relacionando los conceptos con situaciones de la vida cotidiana para que puedas tener una mayor comprensión.
Pero te pido, por favor, que realices cada una de las actividades que fueron planeadas para ayudarte a comprender esta hermosa ciencia.
Mucho éxito y estoy segura de que nos divertiremos mucho.","[{""subdomainId"": ""chemistry"", ""domainId"": ""physical-science-and-engineering""}]","[""72797958"", ""72798684""]","[""María Encarnación Mena Martínez"", ""Carlos Juvencio López Jiménez""]",BEGINNER,La Química de las Reacciones,"[""643""]",http://coursera-university-assets.s3.amazonaws.com/fb/6345c983b840af8342629430d3e513/LogoUAM200x48.png,"[""Universidad Autónoma Metropolitana""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a6/49b7b1aeb44ceebbee27f3481d420f/QuimicaDELaReacciones800x800.jpg,"[""es""]",[],la-qumica-de-las-reacciones,[],"1 módulo por semana, 4 semanas de duración",Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],[],bAriKnx7EfGy4hLrNASQ_Q,v2.ondemand,"En Venezuela están viviendo los efectos catastróficos de un terremoto, que ha causado muchas muertes, la destrucción de muchas infraestructuras y miles de afectados en mayor o menor grado por esta catástrofe natural.

Ofrecemos una versión reducida y gratuita de nuestro curso sobre Primeros Auxilios Psicológicos para contribuir a la recuperación de todas aquellas personas que están sufriendo las consecuencias de esta catástrofe natural o están participando en la respuesta a la misma.

Hemos abierto dos ediciones diferenciadas:
   A. Para las personas que están padeciendo las consecuencias por este terremoto (PrimPrimeros. Auxilios Psicológicos. TERREMOTO-VENEZUELA. Afectados).
   B. Para las personas que están participando y/o gestionando la respuesta, ya sean civiles voluntarios, profesionales sanitarios, miembros de las múltiples asociaciones de ayuda e incluso miembros de los cuerpos de Seguridad (Primeros Auxilios Psicológicos. TERREMOTO-VENEZUELA. Intervinientes).

Las dos ediciones contienen material destinado a explicar cuáles son las reacciones más habituales de las personas de todas las edades ante situaciones imprevistas con tantas pérdidas y ofrecen herramientas para potenciar su resiliencia y contribuir a su recuperación.","[{""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}]","[""10601823""]","[""Ingeborg Porcar""]",BEGINNER,Auxilios Psicológicos. Catástrofes naturales. Afectados,"[""80""]",http://coursera-university-assets.s3.amazonaws.com/b5/16b08ad9e540948d9d2416bab1ce66/2.-Wide-logo-Marketing.png,"[""Universitat Autònoma de Barcelona""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7c/9ab50ae5e34b63901d1ce5e6719d79/logo_PAP_Especial.jpg,"[""es""]",[],pap-primeros-auxilios-psicologicos-catastrofes-naturales-afectados,[],"3,5 horas de estudio",Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",Ah1FyhCrEfCk7gr_3iO-uQ,v2.ondemand,"Esta asignatura será una inversión invaluable para su carrera profesional, proporcionando habilidades y conocimientos prácticos que podrán aplicar directamente en sus roles actuales y futuros donde se podrán sumergir en el fascinante mundo de la inteligencia de negocios y el análisis de datos, adquiriendo habilidades críticas para transformar datos en decisiones estratégicas que impulsen el éxito organizacional.  
Se comenzará abordando el Business Intelligence, donde se definirán sus principios fundamentales y se explorarán herramientas clave de Business Analytics. Aprenderán a establecer y utilizar OKRs (Objetivos y Resultados Clave), KPIs (Indicadores Clave de Rendimiento) y métricas para medir y mejorar el rendimiento empresarial, comprendiendo cómo el análisis de datos puede influir en la toma de decisiones. Exploraremos la jerarquía DIKW. los modelos de datos dimensionales y, el esquema estrella, para mejorar la precisión del análisis.  
El curso también abarcará los componentes esenciales de una arquitectura de Business Analytics, explorando soluciones de cloud computing como IaaS, PaaS y SaaS, y analizando elementos clave de cualquier solución de datos. Aprenderán sobre sistemas de planificación de recursos empresariales (ERP) y sistemas operacionales, y cómo estos se integran en la gestión de datos. Se profundizará en los procesos de Extracción, Transformación y Carga de datos (ETL/ELT) y en diferentes tipos de repositorios de datos, como data warehouses, data lakes, lakehouses y data marts. También se enseñarán técnicas avanzadas de análisis e interpretación de datos, junto con métodos para optimizar y automatizar procesos de BI. 
Abordaremos la importancia del gobierno de datos, aprenderán enfoques básicos para la gestión de datos centrados en transparencia, responsabilidad, estandarización y gestión del cambio. Se discutirán aspectos críticos como la privacidad, con un enfoque en leyes como el GDPR, y se abordarán temas de disponibilidad, usabilidad, consistencia, seguridad, integridad y calidad de los datos, asegurando la integridad y confianza en los sistemas de BI. 
La visualización y el storytelling con datos serán temas clave, donde aprenderán a seleccionar gráficos adecuados, elegir herramientas ideales según el tipo de usuario, y aplicar las mejores prácticas de visualización. Se incluirá una introducción a herramientas como Looker Studio y técnicas de storyboarding para comunicar datos de manera efectiva, entendiendo la importancia del contexto, la empatía con la audiencia y cómo generar impacto y acción con sus presentaciones. 
En resumen, el curso abordará la creación de una ventaja competitiva sostenible mediante el desarrollo de competencias, personas y procesos en Business Intelligence y Analytics, porque finalizando el curso discutiremos las habilidades necesarias para construir equipos de alto rendimiento y estrategias para la gestión del talento, preparando a los estudiantes no solo para manejar datos de manera efectiva, sino también para reconocer el camino para liderar iniciativas de BI que impulsen el éxito a largo plazo. 

Objetivos del curso: 
• Dimensionar el valor del Business Intelligence y la analítica para la generación y mejora de negocios, por medio de las herramientas a desarrollarse en el curso.  
• Adquirir los conocimientos técnicos relacionados con el análisis de datos y la toma de decisiones basadas en ellos, para el éxito de los negocios.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""183605006""]","[""Verónica Lourdes Tomich""]",BEGINNER,Business Intelligence & Analytics,"[""658""]",http://coursera-university-assets.s3.amazonaws.com/e1/1d9e9f5d9b40b398c60cadc2e4770b/logo-up-200x48.png,"[""Universidad de Palermo""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e8/e373aa12324fa99cfb8999fc99d597/Business-Intelligence-Analytics-principal.jpg,"[""es""]",[],mooc-business-intelligence,[],3 horas de estudio semanal.  ,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",yxcumJ42Ee22Ew5lHuzHCw,v2.ondemand,"En este MOOC el estudiante desarrollará competencias de computación científica y métodos numéricos para resolver problemas de transferencia de momentum, calor y masa. En concreto, el estudiante creará y utilizará códigos Python para encontrar la solución numérica a ecuaciones diferenciales ordinarias y ecuaciones diferenciales parciales. 

En fenómenos de transporte, estas ecuaciones provienen de problemas a los valores iniciales (PVI), problemas a los valores de contorno (PVC) y problemas a los valores iniciales y de contorno (PVIC). Las competencias a desarrollar en este curso son necesarias para modelar y simular realistamente intercambiadores de calor, estanques de almacenamiento, equipos de separación, motores, celdas de combustible, dispersión de contaminantes y transmisión de enfermedades infecciosas. 

Con las competencias desarrolladas en el curso, el estudiante será capaz de diseñar y optimizar sistemas ingenieriles para maximizar su seguridad, efectividad y eficiencia.","[{""subdomainId"": ""chemistry"", ""domainId"": ""physical-science-and-engineering""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""26480421""]","[""Felipe Huerta Pérez""]",INTERMEDIATE,"Transferencia de momentum, calor y masa computacional","[""190""]",http://coursera-university-assets.s3.amazonaws.com/5f/39dc2ec690472391e83f8fc0428c13/UC-I-Chile_1.png,"[""Pontificia Universidad Católica de Chile""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/20/bba42179db4a3ea17187988dbfafe2/LOGO-MOOC-1.png,"[""es""]",[],transferencia-de-momentum-calor-y-masa-computacional,[],3 horas/semana,Ln0mTaFMdt93nm8nE,Pom9ttTYdO8J8JFiW
[],"[""VerifiedCert""]",OK4S2mhbEfCCGA7lN4veKQ,v2.ondemand,"Build practical skills in logistic regression and supervised learning using IBM SPSS Statistics through a hands-on, application-focused learning experience. This course introduces the foundations of logistic regression while guiding you through the complete process of preparing data, configuring variables, building predictive models, and interpreting statistical outputs in SPSS.

You will learn how to navigate the SPSS environment, apply logistic regression techniques, and analyze model results using structured datasets. Through guided case studies, including heart pulse analysis and smoking behavior classification, you will construct logistic regression equations, evaluate predictor significance, assess model performance, and interpret statistical evidence to support data-driven decisions. The course also reinforces key concepts with Excel-based logistic modeling.

Designed for learners who want practical experience with predictive analytics in SPSS, this course combines conceptual understanding with step-by-step implementation. By the end of the course, you will be able to develop logistic regression models, interpret SPSS output tables, evaluate prediction accuracy, and confidently communicate analytical findings using statistical evidence.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""136048342""]","[""EDUCBA""]",INTERMEDIATE,SPSS: Apply & Interpret Logistic Regression Models,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d1/fd55d3a86f4d5f9e73a174fc22955b/160.1.jpg,"[""en""]",[],spss-apply-interpret-logistic-regression-models,[],,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",ecoAPNowEe22LAo38arT7w,v2.ondemand,"This course is an personal development and academic voyage that delves into the heart of human endurance and societal fortitude. It embarks on an exploratory mission to dissect the essence of adversity, weaving through personal, societal, and environmental intricacies. Learners will cultivate a nuanced understanding of resilience as a dynamic force and its transformative impact on the self and society.

Distinguished by its interdisciplinary framework, the course fuses elements of psychology, sociology, spirituality, and ecology. It begins with a deep dive into the historical and philosophical underpinnings of adversity, engaging with diverse narratives and examining the resilience of notable figures and civilizations. The journey progresses to unveil the psychological anatomy of resilience, where learners will dissect concepts like grit and growth mindset, discerning their role in personal development and societal progress.

As the course advances, it guides learners through the spiritual and humanistic dimensions of resilience, drawing on Renaissance humanism and ancient wisdom. This module offers a kaleidoscopic view of inner strength, inviting a renaissance of personal growth. In the digital realm, students will explore how resilience manifests and adapts in the face of technological evolution and global interconnectedness.

Concluding with a global perspective, the course navigates the role of resilience in societal transformation, from historical upheavals to modern challenges. Learners will emerge from this course not just as repositories of knowledge, but as empowered individuals equipped to foster resilience in themselves and ignite change within their communities.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""5095820""]","[""Roger L Martinez""]",BEGINNER,Overcoming  Challenges in Self and Society,"[""126""]",http://coursera-university-assets.s3.amazonaws.com/94/45ab9b6dc849e29a9697ebb3227dd2/cu_standard_no-campus.png,"[""University of Colorado System""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2c/c4d6db09c343c3a765e1e924cac735/Overcoming-Challenges-in-Self-and-Society.png,"[""en""]","[""ZWrAG3s4QkSU2Vc0sCzlHw""]",overcoming-challenges-in-self-and-society,[],"4 weeks of study, 2-4 hours a week",xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",hOzhxVNuEfCW8Q55q1kSNQ,v2.ondemand,"This course is meticulously designed for cybersecurity professionals eager to enhance their skills in identifying, analyzing, and mitigating vulnerabilities. Through hands-on lessons, you'll gain the expertise to implement effective vulnerability scanning methods, prioritize risks, and recommend strategic controls to protect against potential threats. Equip yourself with the knowledge to not only understand vulnerabilities but also to proactively defend against them, ensuring your organization's security posture remains robust and resilient.","[{""subdomainId"": ""security"", ""domainId"": ""information-technology""}]","[""187262598""]","[""Pearson""]",INTERMEDIATE,CompTIA Cybersecurity Analyst (CySA+) CS0-003: Unit 2,"[""1842""]",http://coursera-university-assets.s3.amazonaws.com/bd/ac7c3afaa849d7b51565de406969d4/PEARSON_LOGO_PURPLE_RGB.png,"[""Pearson""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2f/5a65cb06b34a4ab850ca25f94f1ee9/PEARSON_CourseraWave02.png,"[""en""]","[""mdFGF_DwTDmf4OqGNOElcA""]",pearson-comptia-cybersecurity-analyst-cysa-cs0-003-video-course-2-jt58z,[],4h 30m,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",0HiU7Oe4EeWTAQ4yevf_oQ,v2.ondemand,"This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration.  Among the techniques discussed are adjustments using estimated response propensities, poststratification, raking, and general regression estimation.  Alternative techniques for imputing values for missing items will be discussed.  For both weighting and imputation, the capabilities of different statistical software packages will be covered, including R®, Stata®, and SAS®.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""8394050""]","[""Richard Valliant, Ph.D.""]",,Dealing With Missing Data,"[""32""]",http://coursera-university-assets.s3.amazonaws.com/9b/d0628a6fff48e0ab8d267da710e8ba/Coursera_UMDInformal_360x360-neww.png,"[""University of Maryland, College Park""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/dd/8e0e60f75a11e5a5175d8aed3cf3b0/AdobeStock_83781931.jpg,"[""en""]","[""child~lSc_SHL7S1GqzSYOBLMj6w""]",missing-data,[],"4 weeks of study, 1-2 hours/week",xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",WFanvtoSEeedbRLwgi9a7A,v2.ondemand,"This course “FinTech Disruptive Innovation: Implications for Society” help you understand how disruptive innovations create opportunity in finance industry and its impact to society especially your career. You would be able to examine and analyse how FinTech innovations would affect companies that relates to FinTech services and how it might affect your career in finance.

You will learn about how peer to peer lending disrupt finance industry in different countries, the diversity of impact by FinTech in the comparison of East vs West, Big firms vs Small firms, and different generations etc., how to predict FinTech trends in different markets, and finally what you should do to pursue your career and secure your position in FinTech industry.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""20086586""]","["" Theodore Henry King CLARK""]",BEGINNER,FinTech Disruptive Innovation: Implications for Society,"[""35""]",https://coursera-university-assets.s3.amazonaws.com/0a/3251bd0aca5bc1a90512cff8bc36ea/ustLogo.png,"[""The Hong Kong University of Science and Technology""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ee/d8ad70db5911e89d6cdf1d8d124b53/fintech_disrupt.jpg,"[""en""]","[""7sEVYtoREeeJmhI8jrj0HA""]",fintech-disruption,[],"Around 4 hours of videos in total, plus a final project requiring about 5 hours to complete.",xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert""]",-apBEzvWEfC3HAr_0KfBDw,v2.ondemand,"This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

In this course, you'll embark on a journey through the world of Linux, gaining foundational knowledge to navigate and manage Linux operating systems. From understanding the history and usage of Linux to mastering essential command-line operations, this course will provide you with a strong base to begin your Linux journey. You'll also dive into Linux distributions, comparing popular versions like Ubuntu, CentOS, and Debian, and learn the nuances of installing and configuring them.
As you progress, you'll explore using Linux’s powerful CLI (Command Line Interface) for tasks such as file management, software installation, networking, and scripting. You’ll learn how to manage networks, secure systems, and administer user accounts, empowering you to configure, manage, and secure Linux systems with confidence.
The course is designed for beginners who want to start from the basics, progressing to more advanced Linux administration tasks. Whether you’re interested in IT, system administration, or development, this course will provide a solid foundation for managing Linux environments. No prior experience with Linux is required.","[{""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}, {""subdomainId"": ""security"", ""domainId"": ""information-technology""}]","[""158375127""]","[""Packt - Course Instructors""]",BEGINNER,The Linux Essentials,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/49/ae99cf666742b881e9b98c68e0aef0/Cover-Image.jpg,"[""en""]",[],packt-the-linux-essentials-yafiq,[],,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",w9LeXGmmEfGYchKdZFPG6Q,v2.ondemand,"Explore how perception and consciousness shape the way you experience the world. In this course, you'll examine how your senses work together to interpret information and influence thoughts, behaviors, and everyday experiences. You'll also investigate consciousness and states of awareness, including sleep, dreaming, and hypnosis, gaining insight into how the mind functions both within and beyond conscious awareness. By the end of the course, you'll be able to explain key concepts in perception and consciousness and describe how different states of awareness influence behavior and cognition.","[{""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}]","[""216235601""]","[""Pearson""]",BEGINNER,"Sensation, Perception, and Consciousness","[""1842""]",http://coursera-university-assets.s3.amazonaws.com/bd/ac7c3afaa849d7b51565de406969d4/PEARSON_LOGO_PURPLE_RGB.png,"[""Pearson""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e6/299ae105a3442b881fb7ec52b05ad9/PEARSON_LINE-WAVE_RGB_AMETHYST-3.png,"[""en""]","[""DLrOjqnyQvSdzvYdcUuaJQ""]",sensation-perception-and-consciousness,[],,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",FBvT5U8KEe-Yaw6jHW3arw,v2.ondemand,"With over 1 billion active iPhone users worldwide, the iOS platform is a critical feature of any mobile app development project. Businesses need professionals with iOS app development capabilities.   

This course provides the foundation you need to develop iOS apps, build SwiftUI interfaces, and implement real-world mobile features using Swift 6.2, Xcode 26, and modern Apple frameworks. You’ll  design intuitive user interfaces, integrate search and favorites functionality, and apply Apple Intelligence with the Foundation Models framework, enabling you to create, test, and deploy production-ready applications.  

Further, you’ll set up a complete iOS development environment, including cloud-based Mac options for Windows and Linux users, and gain hands-on experience building a full SwiftUI app from scratch. And through guided labs, interactive learning activities, and role-play scenarios that simulate real development workflows and decision-making, you’ll strengthen your practical, problem-solving skills.  

Start building your iOS app development skills today and add in-demand capabilities to your resume employers are look for now!","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""96619963"", ""143632558""]","[""Ramanujam Srinivasan"", ""SkillUp""]",BEGINNER,Get Started with iOS App Development ,"[""829""]",http://coursera-university-assets.s3.amazonaws.com/76/d1d1d11d24421cbdf919d276978e10/SkillUp-Logo-200X48.png,"[""SkillUp""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a6/5841724bd145828966556379864eff/720025_Logo-Image_600x600pxl-copy.jpg,"[""en""]","[""aAwoQM8XS42lhJF9MWj_hA"", ""child~M87AMcC-RwC6wjEWWkg0xg""]",get-started-with-ios-app-development,[],5 hours ,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",pdAAp3FQEfCAyA7fSPcIsw,v2.ondemand,"Ready to save time and supercharge your photo editing workflow? In this course, taught by Ally, the creator of Affinity Revolution, you’ll learn how to create powerful, high-quality macros in Affinity Photo—perfect for applying complex edits with a single click.

By the end of this course, you’ll be able to:
* Build your own custom macros for color correction, retouching, and effects
* Automate repetitive editing tasks to streamline your creative process
* Batch process multiple images using Affinity’s Library and Macro tools

Whether you’re a photographer, designer, or creative hobbyist, this course is for anyone looking to boost efficiency without sacrificing quality. You’ll gain instant access to 30 professionally designed macros and learn exactly how each one was made—so you can start editing faster and smarter right away.

To be successful in this course, you should have a working knowledge of Affinity Photo’s interface and basic editing tools. If macros are new to you, get ready—they’re fun, practical, and a game-changer for your workflow.

Join Affinity Revolution and discover the power of macros in Affinity Photo!

Instructor bio:
Ally, the creator of Affinity Revolution, has been teaching people how to use the Affinity creative suite since 2016. Through her easy-to-follow tutorials on Affinity Photo, Designer, and Publisher, she focuses on delivering maximum value in minimal time—making complex tools feel simple and approachable. Ally knows that learning Affinity can feel overwhelming at first, but with her step-by-step guidance, you’ll quickly gain confidence and master the skills to bring your creative projects to life.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""186501695""]","[""Skillshare""]",BEGINNER,Create Amazing Macros in Affinity Photo,"[""3482""]",http://coursera-university-assets.s3.amazonaws.com/e1/4d7f292d0c4d36b0df5383a4cf6cb9/skillsharelogo_coursera_200x48_white.png,"[""Skillshare""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/80/d38b306a6145878aec73bb36925e38/coursera_640264_logoimage.png,"[""en""]","[""gouTx876RaSrIfKqHFPl2w""]",create-amazing-macros-in-affinity-photo,[],,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert""]",fqWIl4fFEfCCSg698sr4dw,v2.ondemand,"Effective inventory management is essential for controlling costs, maintaining optimal stock levels, and supporting efficient business operations. In Master Inventory Management: Analyze, Optimize, Control, you will build a practical understanding of inventory management by exploring the principles, techniques, and decision-making processes that improve inventory performance.

You will learn how to manage stock levels using maximum, minimum, reorder, and safety stock concepts, calculate and apply Economic Order Quantity (EOQ), and use ABC Analysis to prioritize inventory effectively. The course also examines procurement processes, supplier evaluation, inventory valuation methods including FIFO, LIFO, and Average Cost, and the role of Just-In-Time (JIT) practices in improving operational efficiency. Throughout the course, you will connect these concepts to real-world inventory decisions while understanding their impact on cost efficiency, financial reporting, and supply chain performance.

Designed for professionals, students, and entrepreneurs, this course brings together inventory control, EOQ models, inventory valuation methods, and modern inventory practices in one structured learning experience. With guided modules, practice quizzes, and graded assessments, you will strengthen your analytical skills and gain the knowledge needed to make informed inventory management decisions that support efficient and cost-effective operations.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""136048342""]","[""EDUCBA""]",,"Inventory Management: Analyze, Optimize & Control","[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a8/a5c8d56a5d407ead65c364a429145c/334.1.jpg,"[""en""]",[],inventory-management-analyze-optimize-control,[],,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",v9CQdBkhEeWjrA6seF25aw,v2.ondemand,"Unlock the world of modern art from a global authority on the subject. Modern Art & Ideas from The Museum of Modern Art is designed for lifelong learners, students, professionals, and anyone seeking to build high-level critical thinking and visual literacy skills.

This is not your typical art history course. You will learn about art through accessible and relevant thematic frameworks—Art & Identity, Places & Spaces, Transforming Everyday Objects, and Art & Society—to understand how artists have responded to the urgent issues of our time. You’ll hear from educators, curators, and other experts and go behind the scenes with interviews from world-class artists and designers to hear about their materials, processes, and sources of inspiration.

Whether you're looking to broaden your cultural horizons or add a creative edge to your professional toolkit, join a diverse community of learners from around the world and start seeing the world through a new lens.

Career Application: This course transforms the study of modern art into a professional toolkit for visual problem-solving and cultural analysis. By gaining fluency in thematic frameworks, you’ll develop the advanced critical thinking and lateral reasoning skills necessary to lead visual strategy in marketing, drive user-centric innovation in design, and navigate complex global perspectives in corporate communication.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""50470288""]","[""Lisa Mazzola""]",BEGINNER,Modern Art & Ideas,"[""107""]",http://coursera-university-assets.s3.amazonaws.com/a3/3e6808bcb440e0b8b0c5322688fa3a/moma_logo.png,"[""The Museum of Modern Art""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/65/78ce0081ad11e681d7bb31b0a632ef/starry-night.jpg,"[""en""]","[""child~KMOMthVYSfm83SmlcHCQkg""]",modern-art-ideas,[],"4 weeks of study, 2 hours per week",xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",1dph_mZFEe-EPwr_9XyAcQ,v2.ondemand,"This course develops graphic designs skills using Adobe IIllustrator and design sensibilities through effective feedback integration and iterative design processes. Learn to leverage constructive criticism to refine your work, experiment with diverse approaches, and ultimately achieve design excellence.

By the end of this course, you'll be able to: 

• Develop skills in creating visually appealing compositions using Adobe Illustrator.
• Create logos and corporate symbols that effectively represent a brand.
• Design brand identity materials, ensuring consistency across all design elements.
• Complete a final project that demonstrates the ability to create cohesive visual design and branding materials for a video game using Adobe Illustrator.

This is an introduction course, intended for aspiring graphic designers who want to gain essential skills in Adobe Illustrator and learn how to create professional-quality logos and branding materials, graphic designers seeking to specialize in branding, and anyone wanting to learn how to visually represent brands effectively and create consistent brand messaging across various platforms. To succeed in this course, you should have basic literacy, familiarity with basic design principles, and access to Adobe Illustrator.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""167690288""]","[""Xbox""]",BEGINNER,Brand Identity and Vector Graphics,"[""2076""]",http://coursera-university-assets.s3.amazonaws.com/48/9a26c9c64e4b68b01938775e76d2a6/Wide_logo_marketing_porpouses_200x48.png,"[""Xbox""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/52/be88654e7a417991cd5e980f8de623/Image_1200x1200.jpg,"[""en""]","[""EaF05D9rRJqIuAuLbNrxHQ""]",xbox-brand-identity-and-vector-graphics,[],"4 weeks of study, 5-6 hours/week",xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert""]",QgmoVdT2EeSlhSIACx2EBw,v2.ondemand,"This is an introductory astronomy survey class that covers our understanding of the physical universe and its major constituents, including planetary systems, stars, galaxies, black holes, quasars, larger structures, and the universe as a whole.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""physics-and-astronomy""}]","[""685941""]","[""S. George Djorgovski""]",,The Evolving Universe,"[""12""]",https://coursera-university-assets.s3.amazonaws.com/79/5891601e9711e4ae2b4f88611aee02/Caltech_LOGO-Orange_RGB200x48-_1_.png,"[""Caltech""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c9/2238c0bb9211e4b43859e37616f9c4/desktop.jpeg,"[""en""]",[],evolvinguniverse,[],,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert""]",350EFQUFEfCPRRJPAkb9OQ,v2.ondemand,"Updated in May 2025.
 
This course now features Coursera Coach!
 
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

In this course, you’ll gain the foundational knowledge needed to respond effectively to cybersecurity incidents. You will be introduced to the key elements of identifying and analyzing cyber threats, attacks, and vulnerabilities. Throughout the course, you'll develop the skills to assess the security posture of a network and prepare a response to potential incidents. By the end, you'll have a comprehensive understanding of the cybersecurity landscape, empowering you to safeguard and protect organizational systems.

The course begins with an in-depth exploration of the different types of cyber threats and actors, as well as the common attack vectors they use. You will learn how attacks are structured, their motives, and the impact they may have on businesses and individuals. In addition to understanding the threats, you'll delve into tools and techniques for vulnerability scanning, penetration testing, and network and system reconnaissance, all critical for identifying weaknesses before an attack happens.

As you progress, the course will focus on gaining access through various attack techniques, including web app scanning, social engineering, and wireless attacks. You will also dive deeper into post-exploitation tactics such as data exfiltration, pivoting, lateral movement, and maintaining persistence. Equipped with these skills, you'll be able to recognize when an attack is underway and respond appropriately.

This course is ideal for aspiring cybersecurity professionals or those looking to enhance their skills in incident response. It’s designed for individuals with a basic understanding of IT concepts, and while no advanced technical knowledge is required, familiarity with networking and security basics will help you excel. The course is structured to build both theoretical understanding and practical skills for dealing with cyber threats.","[{""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}, {""subdomainId"": ""security"", ""domainId"": ""information-technology""}]","[""158375127""]","[""Packt - Course Instructors""]",INTERMEDIATE,CyberSec First Responder (CFR-310),"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9f/651caf34ce4204aac2965884c0c40d/skill_image_square.jpg,"[""en""]",[],packt-cybersec-first-responder-cfr-310-x6eph,[],,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert""]",zRhFMLBVEeqP6QqV6TddSw,v2.ondemand,"In this project, we will walk through the survey making process and explore the many ways that SurveyMonkey streamlines and simplifies data collection. We will learn how the program is organized and how it operates, helping you feel comfortable and confident enough to create your own survey to meet your own individual needs.

SurveyMonkey is a cloud based survey software which allows its users to create online surveys for free. SurveyMonkey can help move a business in the right direction by collecting the opinions and thoughts of their employees, shareholders, customers, or any other invested group of individuals. After creating a survey with SurveyMonkey, you can easily email them to your target audience or post them on social media. The question templates provided by SurveyMonkey make creating a professional and thorough survey quick and easy. Its user friendly features and detailed options allow amateurs and marketing gurus alike to create the perfect survey to meet their needs. 

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""50076096""]","[""Abby Saey""]",BEGINNER,Use SurveyMonkey to Create a Survey and Analyze Results,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b9/7fae7c92c5447b9afd3b00858be112/survey-1.jpg,"[""en""]",[],create-survey-analyze-results-with-surveymonkey,[],2 hours,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",GusAwbvHEfCaEgr_2GQldQ,v2.ondemand,"Transform your data architecture skills with advanced dimensional modeling techniques that power enterprise-grade analytics systems. This course empowers data professionals to master the critical intersection of historical data tracking and dimensional model optimization.

This Short Course was created to help data analysts accomplish sophisticated data warehouse design that maintains data integrity while maximizing query performance. By completing this course, you'll be able to implement robust historical tracking mechanisms and systematically optimize dimensional models for better business intelligence outcomes.

By the end of this course, you will be able to:
Apply Type-2 slowly changing dimension techniques to preserve complete data history
Evaluate star schema structures and identify performance bottlenecks
Propose specific refinements that improve both analytical capabilities and query efficiency

This course is unique because it bridges the gap between theoretical dimensional modeling and practical implementation, providing hands-on experience with industry-standard tools like dbt and LookML that you'll use in real-world data engineering projects.

To be successful in this project, you should have a background in SQL, basic data modeling concepts, and familiarity with data warehouse fundamentals.   (It is possible)","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""193200302""]","[""Hurix Digital""]",INTERMEDIATE,Star Schemas & Track Changes,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/55/0f3fcccc8245c8b39e6e965b49fe27/Logo-Image-1200-X-1200.png,"[""en""]","[""FqnS_FAiQ3GfXiUkdBplPw""]",star-schemas--track-changes,[],106 minutes,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert""]",5708qTTLEfG8FhKEtuEupQ,v2.ondemand,"Master advanced corporate finance concepts used by finance professionals, analysts, and decision-makers worldwide.

Learn how to evaluate investments, optimize capital structure, analyze dividend policies, and assess mergers and acquisitions with confidence.

This course provides a comprehensive framework for making strategic corporate finance decisions. Learners will explore capital budgeting techniques, project risk analysis, real options, valuation methods, capital structure theories, leverage analysis, dividend policy frameworks, and corporate governance practices.

The course also covers mergers and acquisitions, including transaction structures, takeover defenses, target valuation, discounted cash flow analysis, comparable company analysis, merger evaluation, and corporate restructuring decisions.

By the end of the course, learners will be able to evaluate investment opportunities, assess financing alternatives, analyze acquisition targets, and make informed corporate finance decisions using industry-relevant tools and methodologies.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""136048342""]","[""EDUCBA""]",,Advanced Corporate Finance Strategies,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d2/1fa53283564f99bb575163059b0e6e/629.1.png,"[""en""]",[],advanced-corporate-finance-strategies,[],,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert""]",LuXbfNnCEeq3nQoreMGNOQ,v2.ondemand,"In this 2-hour long project-based course, you will learn how to retrieve data from tables in a database using SQL SELECT statement with SQL Aggregate functions. The aggregate functions we will consider in this project are COUNT, SUM, MIN, MAX and AVG. Aggregate functions are used to summarize data from rows of a table into a single value. In addition, you will learn how to set conditions on the output of an aggregate function using the HAVING clause. Finally, you will learn how to tidy up the result set of aggregate functions using the ROUND function.

Note: You do not need to be a data administrator or data analyst to be successful in this guided project, just a familiarity with querying databases using SQL SELECT statement suffice for this project. If you are not familiar with SQL and want to learn the basics, start with my previous guided projects titled “Performing Data definition and Manipulation in SQL.""  and “Querying Databases using SQL SELECT statement”","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""40353561""]","[""Arimoro Olayinka Imisioluwa""]",INTERMEDIATE,Performing Data Aggregation using SQL Aggregate Functions,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/23/03686b83c44af0bee0dc62b134cb0f/Demo4.png,"[""en""]",[],performing-data-aggregation-using-sql-aggregate-functions,[],2 hours,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert""]",qB62RZp5Ee-rwhIp96UKPw,v2.ondemand,"This is a comprehensive course designed to deepen your understanding of semiconductor mask technology, a critical component in the miniaturization and efficiency of electronic devices. Throughout this course, you'll explore fundamental concepts, advanced techniques, and practical applications of mask design and fabrication processes, equipping you with the skills necessary to excel in semiconductor manufacturing.

This course is tailored for engineers, technologists, and professionals involved in semiconductor manufacturing and design. It is also suitable for individuals interested in advanced fabrication processes and those aiming to deepen their expertise in semiconductor mask technology.

Participants should have a basic understanding of semiconductor technology, including manufacturing processes and device physics. Familiarity with mask design principles, CAD tools, photolithography, etching, deposition, doping techniques, and cleanroom protocols is recommended. Knowledge of semiconductor device technologies such as CMOS, BJT, and GaN, as well as quality control methods in semiconductor fabrication, will be beneficial.

By the end of this course, you will be able to explain the fundamental principles of semiconductor mask design, apply advanced lithography and fabrication techniques, optimize mask performance for improved manufacturing quality, and implement yield enhancement strategies in semiconductor production. These competencies will empower you to address complex fabrication challenges and stay abreast of the latest advancements in mask technology.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""electrical-engineering""}, {""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""165788028"", ""141793623""]","["" Ashraf S. A. AlMadhoun"", ""Starweaver""]",INTERMEDIATE,Advancing Mask Technology for Semiconductors,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1b/3b637bf5024ae883388b73c74b5c2c/Batch-8-1200-x-1200-px-20-.png,"[""en""]",[],advancing-mask-technology-for-semiconductors,[],2 Hour,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert""]",B6cXoZ3VEe6J0A5c28jyYQ,v2.ondemand,"AI tools are already changing how we work, and they will continue to do so for years. Over the next few years, we’re likely going to see AI used in ways we’ve never imagined and are not anticipating. This course will guide you as you lead your organization to adopt AI in a way that’s not unethical, illegal, or wrong. This course empowers you to make informed decisions and confidently create an AI policy that matches your organizational goals.

Unique Features of this Course

- Broadly applicable to audiences of any field
- Efficient yet effective overview of major AI policy concerns
- Beginner friendly for those who want to get started using generative AI tools
- Practical tips for how to develop an AI policy and advisory team
- Real-world examples of how industry regulations around AI have changed

Key Words

Artificial Intelligence (AI), Policy, Generative AI, Large Language Models (LLMs),  Data Science

Intended Audience

- Professionals looking for an introduction to AI policies and general regulations
- Decision makers who may have to help write AI policies or determine how AI will be used at an institute
- Anyone curious about how we can use AI more responsibly","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""133533227""]","[""Elizabeth Humphries, PhD""]",BEGINNER,Developing AI Policy,"[""1359""]",http://coursera-university-assets.s3.amazonaws.com/7b/5a1a7227e24f24a2677ca6ce2e9d07/Fred-Hutch-200px-48px.png,"[""Fred Hutchinson Cancer Center""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/34/1c8537ae374748a7d168ac1442f592/rocket_blasting_off_pulling_a_robot_along_with_it.png,"[""en""]",[],developing-ai-policy,[],1-2 hours,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert""]",MjnOatnmEfCBxQr_2fW1-Q,v2.ondemand,"Adobe® Dreamweaver® CC (2017) focuses on some of the basic features of Dreamweaver so that students can navigate the environment and use Dreamweaver tools to build websites. Dreamweaver is used by a variety of professionals, such as web developers, web designers, graphic designers, and other professionals; Adobe® Dreamweaver® CC (2017): Part 1 will focus on the tools necessary to build a functional website.

This course is a great component of your preparation for the Adobe Certified Expert (ACE) Dreamweaver CC exam and the Adobe Certified Associate (ACA) Web Authoring Using Adobe Dreamweaver CC exam.

This course is designed for those tasked to create or maintain a website. It will also be valuable for web designers, web developers, and graphic designers who want to extend their skills in creating websites by using a visually based design tool for speed and ease of use.

In this course, you will: identify Dreamweaver uses and advantages, including new features, and manipulate the interface; create a new site in Dreamweaver; create a lay out a basic page and add text; style text and containers with CSS; insert images; create and style links; create tables to store data; and upload your site.

This course requires that you have Adobe Dreamweaver installed on a Windows PC. The course setup instructions provided in the first module of the course go into more detail about the hardware and software requirements.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""199401406""]","[""Bill Rosenthal""]",,Adobe Dreamweaver CC (2017): Part 1,"[""4045""]",http://coursera-university-assets.s3.amazonaws.com/11/74e2f119b6403b85e55c5028449c77/lo_wide_logo_marketing-200x48.png,"[""Logical Operations""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/03/fbf0ab29e84f9b843a8a2ff6fe3e30/Slide1.png,"[""en""]",[],adobe-dreamweaver-cc-2017-lo092005,[],,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert""]",4ltPmv2EEe-ehwr_ziEUiw,v2.ondemand,"In this course, you’ll discover how GenAI-powered tools can transform candidate screening by automating repetitive tasks, enhancing evaluations, and ensuring ethical hiring decisions. Through hands-on experience with custom GPTs, Gemini Gems, Power Automate, and AI-driven workflows, you’ll learn to optimize hiring processes, reduce bias, and improve decision-making.

This course is designed for HR professionals, recruiters, talent acquisition specialists, and workforce strategists who want to leverage Generative AI for smarter, faster candidate screening. It’s also ideal for business analysts and operations managers seeking to optimize hiring workflows using AI-powered solutions. Whether you’re looking to automate resume parsing, enhance candidate assessments, or streamline your recruitment process, this course provides practical tools and strategies to elevate your talent acquisition game.

To succeed in this course, you should have a basic understanding of HR processes, particularly in recruitment and candidate screening. Familiarity with Generative AI tools like ChatGPT, Google Gemini, or similar platforms will be beneficial, but no programming or technical expertise is required—just a willingness to explore AI-driven hiring solutions and experiment with automation tools.

By the end of this course, you will have the skills and confidence to integrate Generative AI into your candidate screening processes, making recruitment smarter, faster, and more efficient. You’ll know how to craft AI-driven prompts, automate screening workflows, and mitigate bias, ensuring ethical and effective hiring decisions. Whether you’re looking to reduce manual workload, improve candidate evaluations, or enhance decision-making, you now have the tools to leverage AI responsibly and strategically in talent acquisition.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""141793623"", ""163305875""]","[""Starweaver"", ""Manas Dasgupta""]",INTERMEDIATE,GenAI for Talent Acquisition: Smarter Candidate Screening,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6a/7d56c950f74fd29bf97f3dcaa382bc/Thumbnail-1200-x-1200-px-3-.png,"[""en""]",[],genai-for-talent-acquisition-smarter-candidate-screening,[],3 Hours,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",iGYdtQA7EfGQkhLpkq4N-Q,v2.ondemand,"""Unlock Multimodal Search"" is an intermediate, hands-on course for developers and ML engineers ready to build the next generation of AI-powered search. Text-only search is no longer enough; this 90-minute course will teach you how to create applications that can search across different data types, such as finding text from an image. Using the powerful open-source vector database Weaviate, you will move from theory to a functioning demonstration. This course requires basic skills in Docker, APIs, Python, and the command line (CLI). Familiarity with vector databases. Docker Desktop must be installed.

This course is focused on execution. You will learn to configure a Weaviate schema to handle both image and text embeddings for a single object, ingest multimodal data, and perform powerful cross-modal queries. Through a final, hands-on project that mirrors a real-world job task, you will not only build an image-to-text search demo but also learn how to measure its accuracy with precision metrics. By the end, you'll be equipped to architect and validate sophisticated, multimodal AI applications.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""199677978""]","[""LearningMate""]",INTERMEDIATE,Unlock Multimodal Search,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d3/97429bd18549298ce94197064850ec/CON-04114_img_courselogo.png,"[""en""]","[""7bj0GFcAR6GTBjeZhxQKSA""]",unlock-multimodal-search,[],Approximately 91 minutes,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",1uk7gGDBEfG3bg6ZDi685w,v2.ondemand,"Chemical Process Safety is a comprehensive course designed to provide learners with a strong foundation in identifying, assessing, and managing hazards within process industries. The course focuses on the principles of Process Safety Management (PSM), risk-based safety approaches, safety performance monitoring, and lessons learned from major industrial accidents. Learners will gain practical knowledge of Safety Instrumented Systems (SIS), Safety Integrity Levels (SIL), and Safety Instrumented Functions (SIF), which play a critical role in preventing catastrophic process failures. The course also explores Process Hazard Analysis (PHA) methodologies and industry-standard risk assessment techniques, including HAZOP, FMEA, Fault Tree Analysis (FTA), Event Tree Analysis (ETA), and Layer of Protection Analysis (LOPA). Through practical examples and case studies, learners will develop the skills required to identify process hazards, evaluate risks, implement effective safeguards, and contribute to safer, more reliable, and compliant industrial operations.

Learning Objectives
By the end of this course, learners will be able to:
Explain the principles, elements, and implementation requirements of Process Safety Management (PSM) and risk-based process safety.
Analyze process risks using qualitative and quantitative hazard assessment methodologies.
Apply hazard analysis techniques such as HAZOP, FMEA, FTA, ETA, and LOPA to identify and mitigate process hazards.
Interpret the concepts of SIS, SIL, and SIF and their role in process safety and risk reduction.
Develop effective risk management strategies to improve operational safety, reliability, and regulatory compliance.

Target Learners
This course is ideal for:
Chemical, Mechanical, and Process Engineering students
Process, Production, and Operations Engineers
Safety Engineers and HSE Professionals
Plant Managers and Supervisors
Oil & Gas, Petrochemical, and Process Industry Professionals
Anyone interested in process safety and risk management","[{""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""electrical-engineering""}]","[""113266557""]","[""Subject Matter Expert""]",INTERMEDIATE,Chemical Process Safety,"[""1160""]",http://coursera-university-assets.s3.amazonaws.com/e2/c8cb83a8ae441f8cc0ff5aeb7c8980/EduTech-Master-logo-2021-dimensions.png,"[""L&T EduTech""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d6/ac8ef3e83d4b38a07655f026081fd8/chemical-safet.png,"[""en""]","[""g0egGNy4S-6UdmpQXsVSKA""]",chemical-process-safety,[],2 Weeks,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",GiH_9yIGEfGUUBJ0Ws3UKQ,v2.ondemand,"This course focuses on mastering PostgreSQL 17's core features and advanced SQL techniques, which are vital for database professionals. You'll explore new enhancements in PostgreSQL 17, along with an in-depth understanding of transaction management, indexing, and complex SQL queries.

By the end of the course, you'll be proficient in using PostgreSQL 17 to improve database performance, security, and efficiency, and will be able to apply advanced SQL techniques to real-world database challenges.

What sets this course apart is its blend of foundational PostgreSQL concepts with practical, hands-on exercises that help bridge the gap between theory and real-world database management.

This course is ideal for database administrators, developers, and anyone seeking to deepen their knowledge of PostgreSQL and SQL, with a foundational understanding of databases required.

This course is part one of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""158375127""]","[""Packt - Course Instructors""]",INTERMEDIATE,PostgreSQL 17: Core Concepts and Advanced SQL Techniques,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/da/c424868b2c4409a89a7f6f75a83809/9781836205975_square.jpg,"[""en""]","[""YE4oTKS5TduwAa8wt1RwnQ""]",packt-postgresql-17-core-concepts-and-advanced-sql-techniques-ojoqu,[],,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",lDHhgquQEey44Q4AsVOVkw,v2.ondemand,"This is the #5 course in the specialization on management consulting. In the previous 4 courses, we’ve learned how consultants break down problems with tools and logical thinking. Now, it’s time to bring all the parts together into consulting-quality presentations and deliverables. Every consulting project is different, and yet, the final presentation will have many of the same elements:
•	Clear alignment among the stakeholders on the project goals
•	Understanding on the consulting approach, assumptions, and decisions
•	Thoughtful progression of ideas that “brings the audience along”
•	Well-constructed PowerPoint slides (or excel model) which tell a clear story
•	Impactful use of graphs, tables, data visualization
•	Persuasive and authoritative delivery style","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""98061548""]","[""John Kim""]",BEGINNER,Consulting Presentations and Storytelling,"[""23""]",https://coursera-university-assets.s3.amazonaws.com/b1/42666a764d1900edcdd474704d0a14/EU_280.png,"[""Emory University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d5/2d9db8a63a4fa0bccf84e0e466c257/Consulting-presentations.png,"[""en""]","[""1lMXZlOIEey4Ig5-2rgXxw""]",management-consulting-presentations,[],,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",XD9s4ue2EfCd-xKyx35L5Q,v2.ondemand,"""Qualitative Research Interviews"" is a beginner course for aspiring market analysts and professionals who need to uncover the ""why"" behind customer behavior. This course moves beyond theory to provide the practical skills needed to conduct high-quality interviews that yield deep, actionable insights. You will learn to distinguish between key qualitative methods, including interviews, focus groups, and ethnographic studies, and understand when to use each one effectively. The focus is on using interviews to inform business decisions, a common task for analysts, helping organizations clarify problems before committing to larger research projects.

The curriculum centers on the most critical tool for any interviewer: the discussion guide. Through a hands-on process, you will learn to apply a professional framework to structure your interviews, craft powerful open-ended questions, and align every part of your guide to your core research objectives. By the end of this course, you will have the confidence and practical ability to design a complete interview guide, enabling you to gather the rich, narrative data that drives meaningful product and business decisions.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""199677978""]","[""LearningMate""]",BEGINNER,Qualitative Research Interviews,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/da/1f9cb3b99746159d88acb3633e5d82/CON-02809_img_courselogo.png,"[""en""]","[""q5c0BkGbTpqMzQZwwOuWTg""]",qualitative-research-interviews,[],117 minutes,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert""]",jso0OYzeEfClfhKuRtXbYQ,v2.ondemand,"This course is designed to demystify Zero Trust security and guide learners through practical implementation. Based on the principle of “never trust, always verify,” this course explains what Zero Trust is, why it matters, and how organizations can begin their Zero Trust journey. 

Key topics include network, endpoint, and cloud security, starting with foundational concepts and addressing misconceptions—highlighting that Zero Trust is not achieved by simply deploying technologies. Real-world use cases, assessment methodologies, and maturity ranking techniques help participants create a customized Zero Trust strategy for their business.

The curriculum explores modern Zero Trust standards and frameworks, such as NIST and the Open Group, moving from principles to architectural design. With a focus on practical application and strategic planning, this course is ideal for anyone responsible for organizational security seeking to enhance their defense strategy using Zero Trust.","[{""subdomainId"": ""security"", ""domainId"": ""information-technology""}]","[""187262598""]","[""Pearson""]",INTERMEDIATE,The Zero Trust Framework,"[""1842""]",http://coursera-university-assets.s3.amazonaws.com/bd/ac7c3afaa849d7b51565de406969d4/PEARSON_LOGO_PURPLE_RGB.png,"[""Pearson""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2a/3a3b0205ad458e94a46e4566b47e5d/CSRA_CVR_06.jpg,"[""en""]",[],pearson-the-zero-trust-framework-video-course-o5esi,[],Less then 2 weeks,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",Bi3fz77QEfC4_Q5X5BH3bw,v2.ondemand,"Negotiation: Remember Levers and Record Notes is a foundational course for any professional entering the world of procurement and commercial agreements. Successful negotiation begins long before you enter the room and continues through every word spoken. This course demystifies the process by focusing on two core skills: knowing your negotiable variables and accurately recording the conversation.

You will learn to identify and evaluate the three fundamental negotiation levers—price, payment terms, and lead-time—so you can move beyond a single-minded focus on price to create more strategic value. More importantly, you will learn to apply a structured note-taking method using a professional template. Through hands-on exercises and a simulated negotiation, you will practice capturing concessions and counter-offers with precision. This course provides the essential tools to leave every negotiation with a clear, accurate record, enabling better analysis, stronger agreements, and greater confidence.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""199677978""]","[""LearningMate""]",BEGINNER,Negotiation: Remember Levers and Record Notes,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a2/0983f7dcec44c28356f72d354edf99/CON-02775_img_courselogo.png,"[""en""]","[""5WaMFy9RRPm3qlpeI87MUw""]",negotiation-remember-levers--record-notes,[],Approximately 90 minutes,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",eNwS2xlREfG-vBLfJgC37w,v2.ondemand,"Learn how to analyze bond investments, apply equity valuation techniques, and evaluate financial instruments using practical investment models and risk analysis frameworks. This course provides structured skills in fixed income valuation, equity analysis, duration measurement, and investment decision-making used in modern finance and portfolio management.

The course begins with the foundations of fixed income securities, including bond types, cash flow structures, valuation principles, and key fixed income terminology. Learners will build a strong understanding of how bonds operate as debt instruments and how their value is determined in financial markets.

As the course progresses, learners examine bond pricing and yield mechanics, including present value techniques, yield calculations, forward rates, matrix pricing, and the relationship between bond prices, maturity, and coupon rates. The course also explores interest rate risk, duration analysis, and PVBP to help learners measure portfolio sensitivity to market changes.

Advanced modules transition into equity valuation and investment models, including Discounted Cash Flow (DCF), Free Cash Flow to Equity (FCFE), CAPM, and Gordon Growth valuation methods. Learners will understand how to estimate intrinsic value, evaluate risk-return relationships, and compare investment opportunities effectively.

What makes this course unique is its integrated approach to fixed income and equity investment analysis, combining valuation, yield interpretation, risk management, and financial modeling into one structured learning experience. By the end of the course, learners will be able to confidently analyze bonds and equities, apply valuation frameworks, and make informed investment decisions in professional financial environments.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""136048342""]","[""EDUCBA""]",,Bond and Equity Valuation Strategies,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fa/f5382664d14aa6816ce42460597f4c/307.1.png,"[""en""]","[""qDWbEJT8TsK0ozRMSMo_dA""]",bond-equity-valuation-strategies,[],,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",CieojLZ3EfCPwBLJB59jpw,v2.ondemand,"In today’s digital landscape, AI is transforming how customers search, discover, and decide. This beginner-friendly course helps you understand AI’s role in modern marketing and apply it with confidence. You’ll map key discovery moments using a guided worksheet, then design a focused marketing plan that connects goals, budgets, and geo-targeted tactics. Step-by-step templates and examples make planning practical and measurable—helping you turn AI insights into real marketing results.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""200011885""]","[""ansrsource instructors""]",BEGINNER,Analyze and Create Your AI Marketing Plan,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e7/23e446da8f4634b0df76066b002908/Cover-800x800---Maribel.png,"[""en""]","[""u4qaAwxGQRu5LZK-lFbaPQ""]",analyze-and-create-your-ai-marketing-plan,[],,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",sgi8_tG4EfCUKQr_3GN6mQ,v2.ondemand,"Learners will apply advanced rotoscoping tools, organize layered assets, analyze 3D space, and create professional animations and motion graphics using the latest features in Adobe After Effects. This course builds practical, industry-ready skills by guiding learners through real projects, compositing workflows, and design principles that strengthen visual communication.

Throughout the course, learners benefit from hands-on demonstrations using intelligent tools like Roto Brush 2.0, seamless Photoshop integration, optimized composition settings, and animation techniques grounded in established motion-design fundamentals. By mastering visual hierarchy, easing, timing, and 3D navigation, learners gain the confidence to produce polished, compelling content for digital media, branding, and storytelling applications.

What makes this course unique is its focus on practical creativity, blending automation-powered features with professional design workflows. Rather than just observing tools, learners actively implement them across structured lessons and project-based challenges. By the end of the course, learners will be equipped to construct smooth animations, design clear motion graphics, and execute efficient After Effects pipelines suited for real-world creative production.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""136048342""]","[""EDUCBA""]",BEGINNER,Master After Effects: Analyze & Create Dynamic Motion,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f1/13a93b0069426b81a908a46ea236e6/40_1.jpg,"[""en""]","[""FZN799a2QT2ddD0tE8UCZw""]",master-after-effects-analyze-create-dynamic-motion,[],,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",bdcJIWIyEe62wwrYx-2qTQ,v2.ondemand,"In this course you will be introduced to the steps required to effectively develop and launch a new product. These are important phases of the product management lifecycle and generally consume majority of the product manager's time.  

The course highlights how resources are assigned to design, create, and test the new product. The course also walks you through best practices to ensure a smooth transition from product development to product launch and delivery. Then, once the lifecycle of the product has come to an end, you will learn about how the Product Manager oversees retirement processes for the product. 

Throughout this course, several product management experts will share their insights and experiences in product management. Practice quizzes and graded quizzes will test your knowledge throughout. Also, you will put what you have learned to the test in a series of practical exercises that culminates in a final project allowing you to demonstrate real-word product management expertise. 

This course is suitable for anyone who aspires to apply for product management jobs. It requires no prior experience or knowledge of product management.","[{""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""143632558"", ""124717553""]","[""SkillUp"", ""Daniel C. Yeomans""]",BEGINNER,Product Management: Developing and Delivering a New Product,"[""829""]",http://coursera-university-assets.s3.amazonaws.com/76/d1d1d11d24421cbdf919d276978e10/SkillUp-Logo-200X48.png,"[""SkillUp""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c0/f042c39d7346f097ce5ad92ef41ee9/1200x1200__110376588-1-.jpg,"[""en""]","[""Zzxywe-_QRGpf_NyeGM8Jg"", ""child~NcR060rhTm6VoVe3tYiYGw"", ""dVxvpVBzSI2qpyGsH77oMQ""]",product-management-developing-and-delivering-a-new-product,[],"5 weeks of study, 2-3 hours/week ",xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",_UffpAE7EfGXWw4BmDDNwQ,v2.ondemand,"This course is designed for intermediate-level learners who want to enhance their security skills in Android development. Participants will analyze the structure of Android memory and evaluate its defenses against exploitation, including understanding pointers and their role in buffer overflow exploits. The course covers various types of overflows, mitigation techniques, and specific vulnerabilities such as the Stagefright buffer overflow.

In addition to exploitation techniques, learners will explore secure data storage practices within the Android file system, implement cryptography concepts, and securely manage credentials using the Android Keystore. The course also addresses password security through hashing and salting techniques, common data risks, and secure storage practices to protect data at rest. Finally, participants will gain insights into network security, data protection in transit, and securing inter-process communications and webviews in Android applications.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""202524557""]","[""Chrystine D Thorsen""]",,"Memory, Encryption, and Protecting Data in Android","[""692""]",http://coursera-university-assets.s3.amazonaws.com/40/acc775ed61459cab4ae170210dec8a/Wide-logo-for-marketing-purposes.png,"[""Infosec""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/23/508626afa14d3b945ec3f6eeab2782/Coursera-Writing-Secure-Code-for-Android_1200x1200.png,"[""en""]","[""7Xem1R3-SmCO-Xloo6wyxA""]",memory-encryption-and-protecting-data-android,[],,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",owRx0e6nEe2_1Q54ZEzvJQ,v2.ondemand,"This course is ideal for individuals with a basic understanding of digital technology as well as developers or security professionals wishing to expand their blockchain knowledge. It provides a comprehensive introduction to the world of blockchain technology. We will delve into the core principles of blockchain, exploring the critical decision-making processes involved in adopting this innovative technology. This course offers an overview of various blockchain platforms, hosting decisions, associated technologies, and the key development languages used. An important aspect of this course will be the introduction to the concept of consensus mechanisms and their integral role in maintaining the integrity of the blockchain.

By the end of this course, you will be able to:
- Describe how blocks are chained together
- Compare and contrast Pure versus Hybrid blockchains
- List the blockchain layers and describe what each of them does
- Describe the difference between on-chain and off-chain data storage
- Determine the right language and tools based on the blockchain platform and use case
- Describe the Byzantine Generals Problem
- Explain the blockchain trilemma
- Explain how cryptography, consensus, and immutability enhance blockchain security","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""187597289""]","[""LearnQuest Network""]",INTERMEDIATE,Fundamentals of Blockchain Architecture,"[""527""]",http://coursera-university-assets.s3.amazonaws.com/ae/99864058c04a11a6b3fec071f69cc6/logo.png,"[""LearnQuest""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1e/8dc36a031f4cc09e7f7c0f117fbee4/alex-wong-l5Tzv1alcps-unsplash.jpg,"[""en""]","[""wXYYA2O-T7iJkS7_EHso4w""]",fundamentals-blockchain-architecture,[],"3 weeks of study, 4-8 hours per week",xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",q9FmPhZeEfGV2xLtBiwROQ,v2.ondemand,"The most effective app promotion and monetization strategies to grow your app, and make it as profitable as possible.  

LATEST COURSE UPDATE:

Three great launch strategies for your app

Full student case study of ASO and keyword research strategy

How to compete for competitive app store search terms

Improved audio/video quality for 90% of the course

WHAT YOU CAN ACCOMPLISH WITH THIS COURSE

 I am an independent mobile app entrepreneur just like you. I created this course to help you:  

Get 1,000,000+ downloads with effective mobile app store marketing

Save money by doing your own ASO (for Android and Apple App store) better than most consultants you might hire

Create an app marketing strategy outside the app stores by getting press coverage and learning how to promote your app using social media, virality, and social sharing

Make money with effective app store monetization techniques to help you maximize your app revenue with subscriptions, in-app purchases, ads, selling affiliate products, and other monetization strategies used by successful mobile app businesses

Create a successful mobile app business

Learn the strategies I used to get 1,000,000+ downloads for my apps, make money from them, and create a successful mobile app business.  

WHAT MAKES THIS APP PROMOTION COURSE SPECIAL

The course shows you how to create a real business out of your app. I realize that you may be excited about your app idea, and rush to have it built as soon as possible. But as an app entrepreneur, you need to understand what it takes to make your app a real business that's profitable and makes money.  

This course teaches you about app business models, high-level business strategies, and app business planning. 

This is what makes this course special! This course will make you a stronger app entrepreneur.  

INSTRUCTOR BACKGROUND

My apps have 2,000,000+ cumulative downloads that I got for free in a 99% passive way. My income from apps is 99% passive as well. 

My book on mobile app business has been the #1 book on this topic on Amazon for the last few years, and it is used by a few universities and high schools across the country. 

My app ranked #1 for the search ""business"" on Android for a number of years, and many of my apps dominate their search rankings in the Apple App Store and Google Play Store.  

In this app promotion course, I'll teach you the insights and secrets I learned while growing my own mobile app business. Everything I teach in this course is something I have done and tried myself.  

I've been an entrepreneur for 20+ years, have coached 1,000+ entrepreneurs in person, taught 1,000,000+ students, impacted millions of entrepreneurs worldwide, creating 6 and 7-figure businesses in the process, and I would love to help you.

RESPONSIVE AND CARING INSTRUCTOR: WORLD-CLASS STUDENT SUPPORT

If you have questions, I am here to help! I answer 99% of student questions within 24 hours. Many students tell me that other instructors don't respond. Well, I do because: 

1) I care about my students.

2) I feel a responsibility to make sure that students get their money's worth from the course.

HOW THIS COURSE IS STRUCTURED

The course is structured in 3 parts. The first part goes over some of the 

PART 1: common mobile app fundamentals. If you are working on your first app, this is a must!  

PART 2: mobile app marketing.

PART 3: monetization. 

 

I also show you some of my favorite tools and outsourcing strategies that you can use for your own app development and growth.

WHY YOU SHOULD TAKE THIS APP MARKETING COURSE NOW

Focusing on marketing and monetization after your app is built and has launched is a very costly mistake. You must focus on your app marketing plan and monetization early, during business planning!

This course will shed light on many parts of your business strategy, and help you choose a successful path for your app from the beginning. That is why you should take this course before even writing the first line of code for your app.  

This course will transform you, and make you a much stronger app entrepreneur quickly. Take the course today, and see for yourself.  

WHAT KINDS OF APPS DO STUDENTS IN THIS COURSE USUALLY MAKE?

Game apps, puzzle apps, social apps, photo apps, dating apps, and productivity apps.

Invest in your future. Enroll now.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""198448869""]","[""Alex Genadinik""]",,"2026 Mobile App Marketing With ASO, And Monetization","[""4230""]",http://coursera-university-assets.s3.amazonaws.com/c7/f8bc60a79b4a7080cf0eb568473ac6/Untitled-design-9-.png,"[""Alex Genadinik""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6e/5c3810a3d74c7b9e2bb794fdfb78ee/Untitled-design---2026-03-02T114304.614.png,"[""en""]","[""fbbH6Q5hQqOo5D7lMWib8w""]",mobile-app-marketing,[],,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",FSSadswiEfC_WA6vdvdWGw,v2.ondemand,"This program equips cybersecurity professionals, IT teams, and system administrators with the foundational knowledge and practical skills needed to identify, analyze, and remediate vulnerabilities across modern enterprise environments. You’ll start by understanding the vulnerability assessment lifecycle, exploring how weaknesses emerge in networks, systems, and web applications, and learning the principles behind risk, exposure, and exploitability.

Next, you’ll dive into hands-on vulnerability assessment techniques, using tools such as Nmap, Nikto, and open-source scanners to perform host discovery, service enumeration, and web application checks. You’ll learn how to validate findings, classify severity using structured scoring methods, and document vulnerabilities effectively for organizational reporting.

You’ll then advance into vulnerability management, where you’ll design patching workflows, apply configuration hardening practices, automate remediation tasks, and perform post-fix validation. You will also learn how to build governance processes, track metrics, and create dashboards that support long-term risk reduction and audit readiness.

By the end of this program, you will be able to:

- Explain the core concepts of vulnerability assessment and the full assessment lifecycle.

- Distinguish between vulnerabilities, threats, risks, and exploits in enterprise environments.

- Conduct network and web vulnerability scans using open-source tools such as Nmap and Nikto.

- Validate scan results, classify vulnerabilities, and prioritize remediation using risk-based scoring.

- Implement patch management, configuration hardening, and automated remediation techniques.

- Design and document a vulnerability management program aligned with governance requirements.

- Create consolidated reports and dashboards to track vulnerabilities and support compliance.

This course is designed for cybersecurity engineers, SOC analysts, network administrators, DevOps practitioners, and IT security professionals seeking to strengthen their skills in vulnerability assessment and operational risk management.

Join us to develop the practical, analytical, and strategic skills required to secure enterprise systems through effective vulnerability assessment and management practices.","[{""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}, {""subdomainId"": ""security"", ""domainId"": ""information-technology""}]","[""136285326""]","[""Edureka""]",INTERMEDIATE, Vulnerability Assessment and Management,"[""1504""]",http://coursera-university-assets.s3.amazonaws.com/f7/2ebf8f1160497eba54141ca7951ff0/Wide-Logo-for-Marketing-Purposes.png,"[""Edureka""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/98/19732c43fa4850b9e96286d29f1714/Vulnerability-Assessment-and-Management-100.jpg,"[""en""]","[""QrW8ma19TBOYhx0cX4thzw""]",vulnerability-assessment-and-management,[],"4 weeks of study, 3 - 4 hours/week",xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",UbtDBfT_EfCFRg7t6P8RhQ,v2.ondemand,"Ready to turn uncertainty into opportunity? This Short Course was created to help data analysts master Monte Carlo simulation techniques to quantify risk and forecast outcomes under uncertainty.

By completing this course, you'll transform complex probabilistic scenarios into actionable insights. You'll build robust simulation models, conduct sensitivity analysis, and create probability distributions that inform critical business decisions with confidence.

By the end of this course, you will be able to:
Build Monte Carlo simulation models for project ROI analysis
Evaluate sensitivity through tornado chart analysis
Construct currency-exchange exposure simulations
Determine optimal iteration counts for model convergence

This course is unique because it combines theoretical foundations with hands-on Python implementation, providing both Excel-based and programmatic approaches to Monte Carlo modeling.

To be successful in this project, you should have a background in basic statistics and Python programming.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""193200302""]","[""Hurix Digital""]",INTERMEDIATE,Simulate with Monte Carlo,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/59/e4a3e06ce14f729467e5e0e48f3ff4/Logo-Image-1200-X-1200.png,"[""en""]","[""7fL5VysSSu-m74lGqMnn1w""]",simulate-with-monte-carlo,[],180 minutes,xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert"", ""Specialization""]",PNGD38u4EfCGDQr_wTYZuQ,v2.ondemand,"Bring your analytical English skills into social topics that require careful judgment and comparison. You begin with psychology, exploring the science of happiness as you evaluate a speaker's credibility, judge the strength of arguments, distinguish facts from opinions, and form critiques supported by evidence. You then move into sociology, where you read about intergenerational workplace dynamics and examine how multiple authors build their arguments, what evidence they use, and where their reasoning is strong or weak. Through videos, readings, vocabulary, comprehension checks, instructional activities, skill practice, interactions, quizzes, and evaluation tasks, you practice synthesizing perspectives instead of considering each source in isolation. By the end of the course, you will be able to critique speakers and authors more confidently and write or discuss clearer critical summaries in English.","[{""domainId"": ""language-learning"", ""subdomainId"": ""learning-english""}]","[""198073553""]","[""John Deal, Director ASU Global Launch""]",ADVANCED,English for Social Analysis,"[""287""]",,"[""Arizona State University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/69/c5d0947d39431d9deb5d5ff31c6171/Course-3-English-for-Social-Analysis.png,"[""en""]","[""77r5xlmURtCNBGylMIrP6g""]",english-for-social-analysis,[],"2 weeks of study, 5-7 hours/week",xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert""]",3uRPpdGFEeiElA6q2-9yxA,v2.ondemand,"This course is for early career researchers and mentors who believe that modern scientific careers require management skills and want to be research leaders. This curriculum gives you skills to effectively implement funded projects, thereby enhancing your career success. Research leaders take on a number of new roles, rights, and responsibilities--as scientific leaders, financial administrators, managers, and mentors. In this course, we explain how to optimize the people, teams, projects, and finances for which you are responsible. 

Despite your research training, you are probably facing an urgent training gap in leadership and management skills. Scientific careers falter for non-science reasons when researchers fail to execute a scope of work: struggle to track expenses and returns substantial unspent grant funds; or run out of funds by spending on the wrong people or mismanaging the right people. Consequently, projects close with inadequate progress on aims, thus compromising successful competition for future funding. This course will help avoid these traps.

Leadership and management are essential skills for researchers. Several early career researchers, senior scientists, and administrative leaders are eager to share their expertise and experiences with you.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""43407415""]","[""Anne M. Libby, PhD""]",INTERMEDIATE,Researcher Management and Leadership Training,"[""126""]",http://coursera-university-assets.s3.amazonaws.com/94/45ab9b6dc849e29a9697ebb3227dd2/cu_standard_no-campus.png,"[""University of Colorado System""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/06/7a20bce2684ba29df9c42c511ed4fc/Researcher-Management-and-Leadership-Training.png,"[""en""]",[],researcher-management-leadership-training,[],"5 weeks of study, about 3 hours/week, with several optional resources for your interest.",xjk79qlNxjCns7fV0,HslMZGWTQzi4Hmuoc
[],"[""VerifiedCert""]",zhUzKhyAEeyguw70hCEltQ,v2.ondemand,"Nach Beendigung dieses Projekts kannst du eine Facebook Gruppe erstellen. Wir werden ein persönliches Profil und eine Unternehmensseite erstellen, wir werden lernen wie du eine Gruppe erstellst, wie du deine Gruppe beschreibst, wie du Leute einlädst, wie du mit den Leuten in deiner Gruppe kommunizierst, und wie du Events gestaltest.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""57296888""]","[""Julia Arteno""]",BEGINNER,Erstelle eine Facebook Gruppe,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/dd/f65db6ed64493daea5d8721c12fd21/brooke-cagle-g1Kr4Ozfoac-unsplash.jpeg,"[""de""]",[],erstelle-facebook-gruppen,[],2 Stunden,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",C9T2cxgjEeuWFBKXbYUaVw,v2.ondemand,"Ein guter Projektplan hilft allen Teammitgliedern bei der Zusammenarbeit, um die Projektziele zu erreichen. Ein Projektbudget mit realistischen Kostenbeschränkungen ist ebenfalls eine essentielle Grundlage jedes Projekts. In diesem Kurs lernen Sie, Zeit- und Kostenbeschränkungen einzuplanen und einzuhalten, um den Erfolg Ihrer Projekte sicherzustellen.

Nach Abschluss dieses Kurses werden Sie in der Lage sein:
1.       den Ressourcenbedarf des Projekts zu ermitteln
2.       Projektpackages in Aktivitäten zu zerlegen
3.       zu definieren, was zur Schätzung der Aktivitätsdauer erforderlich ist
4.       Meilensteine zu definieren und einen Meilensteinplan zu erstellen
5.       den kritischen Pfad zu bestimmen und Puffer zu berechnen
6.       den Zweck der Verwendung von Vorsprüngen und Verzögerungen in einem Projektplan zu beschreiben
7.       die Mengen und Kosten der Ressourcen zu schätzen, die für die Durchführung der Projektaktivitäten
          erforderlich sind
8.       eine von drei gängigen Techniken zur Kostenschätzung auszuwählen, um ein Projektbudget zu ermitteln
9.       eine Matrix zur Aufgabenverteilung zu verwenden, um Verantwortungen zuzuweisen
10.     die Komponenten des Qualitätsmanagementplans eines Projekts zu erkennen","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""29346301""]","[""Margaret  Meloni,  MBA, PMP""]",,Budget- und Terminplanung von Projekten,"[""30""]",https://d15cw65ipctsrr.cloudfront.net/b0/7884f0f97f11e683006f4d784414a5/DCE-1200x1200.png,"[""University of California, Irvine""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0c/36cae04a6411e4b7358d1a69be25fa/3_BudgetSchedule_Coursera.jpg,"[""de""]",[],schedule-projects-de,[],"4-wöchiges Studium, 2-3 Stunden / Woche",sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",8Z7juCSzEeu1hw7_NRI1RQ,v2.ondemand,"Dieser kurze Kurs gibt einen Überblick über alle wesentlichen Themen, die in einem Finanzkurs auf MBA-Ebene in einem ganzen Semester behandelt werden, jedoch mit einem intuitiveren Ansatz auf einer sehr hohen konzeptionellen Ebene.  Das Ziel dieses Kurses besteht darin, Ihnen einen Plan und einen Rahmen zu geben, wie Finanzfachleute Entscheidungen treffen.

Wir werden die Grundlagen der Finanzbewertung behandeln, den Zeitwert des Geldes, aufgezinste Erträge sowie abgezinste zukünftige Erträge.  Sie werden die Discounted-Cash-Flow(DCF)-Bewertung verstehen und mit anderen Methoden vergleichen.  Außerdem versetzen wir uns in die Köpfe von Finanzmanagern von Großkonzernen und entwickeln die grundlegenden Tools der Investitionsrechnung.  Wir werden uns ansehen, wie, wann und wo Geld ausgegeben wird, werden Abwägungen in Bezug auf Investitionen, Wachstum, Dividenden und die Einhaltung einer gesunden Finanzdisziplin treffen.  Anschließend nehmen wir die Investitionsperspektive der Wall Street bzw. der Kapitalmärkte ein und besprechen die fundamentalen Abwägungen zwischen Risiko und Rendite.  Dann synthetisieren wir unsere Risikodiskussion mit unserem Bewertungsrahmen und nutzen sie für eine Reihe von direkten Anwendungen in der Praxis.

Für diesen Kurs sind keine Vorkenntnisse im Finanzwesen erforderlich.  Er soll vielmehr ein erster Schritt für jeden sein, der Aktienmärkte, Bewertung und Unternehmensfinanzierung verstehen möchte.  Wir werden sämtliche Tools und quantitativen Analysen zusammen durchgehen und einen Leitfaden entwickeln, um die scheinbar komplexen Entscheidungen von Finanzfachleuten verstehen zu können.

Bis zum Ende des Kurses werden Sie ein Verständnis für die wesentlichen konzeptionellen Hebel, die bei Finanzentscheidungen betätigt werden, und ihre Beziehung zu anderen Geschäftsbereichen entwickeln.  Dieser Kurs soll Ihnen auch als Orientierung dienen, wie Sie Ihre finanzielle Bildung weiterentwickeln können. Zudem eignet er sich ausgezeichnet als Einführung für alle Stunden, die sich auf BWL oder Finanzwesen spezialisieren wollen, jedoch erst wenig Erfahrung in diesem Bereich haben.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""18861885""]","[""James Weston""]",BEGINNER,Finanzen für Nicht-Finanzfachleute,"[""13""]",http://coursera-university-assets.s3.amazonaws.com/f5/f983fc330847ecae8a5b6f93162c1b/Rice-Logo_Updated_Cropped_200x48.png,"[""Rice University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1c/8671a0649011e6b07af9b2acb13442/Finance4NonFinanceSquare.jpg,"[""de""]",[],finance-for-non-finance-de,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",oQphuRttEeyf4Ar-aygVCw,v2.ondemand,"Nach Abschluss dieses Projekts kannst du, unabhängig davon, ob du eine neue Marke startest oder eine bestehende mithilfe deiner Social-Media-Strategie optimieren möchtest, besser auf deine Facebook Kundschaft eingehen und diese gezielt erreichen.

Ziel dieses Projekts ist es, sich mit den Interessen des durchschnittlichen Facebook User und dessen Gewohnheiten vertraut zu machen. Erst dann ist es möglich, eine Marketing Strategie zu erstellen und deine Kunden auf Facebook gezielt anzusprechen. 

Aufgabe des Social Media Marketings ist es, kreative Wege zu finden um die Aufmerksamkeit der User für ihre Produkte und Dienstleistungen zu gewinnen. Dies erfolgt oftmals auf Basis eines sehr geringen Marketing Budgets. 

Du wirst heute zunächst einen Facebook Business Page Account erstellen um anschließend die Funktion Facebook Insights kennenzulernen und anzuwenden. Wir werden anschließend ein Interest Persona in Google Slides erstellen, welches Dir als Vorlage für zukünftige Projekte dient.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""74149180""]","[""Michelle Flores""]",INTERMEDIATE,Interessen des durchschnittlichen Facebook Nutzers,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b1/4ff1f8c02548c981a97fc6707642d6/Canva_redes.jpg,"[""de""]",[],interessen-durchschnittlichen-facebook-nutzers,[],2 Stunden,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",znZox0jeEe6ybQr7spg82Q,v2.ondemand,"Wenn Sie dies lesen, sind Sie wahrscheinlich daran interessiert, sich in der Simcenter STAR-CCM+ Software oder einem anderen CFD-Tool mit der angewandten numerischen Fluiddynamik (englisch Computational Fluid Dynamics, Abk. CFD) zu beschäftigen. Dieser Kurs kann ein erster Schritt zur Verbesserung Ihrer Arbeitsleistung und zur Förderung Ihrer Karriere oder Ihres Bildungsweges sein.

Wir haben diesen Kurs entwickelt, um Ihnen zu helfen, das Wissen der Strömungsphysik und numerischen Fluiddynamik zu nutzen, um Strömungs- und Wärmeübertragungsprobleme höchst effizient und professionell zu lösen. In diesem Kurs geht es nicht um Anweisungen zur Verwendung einer bestimmten Software. Für alle in diesem Kurs vorgestellten Simulationen wurde ausschließlich Simcenter STAR-CCM+ verwendet. Dennoch wären die Lernergebnisse dieselben, wenn eine andere öffentliche oder kommerzielle Software verwendet würde, solange sie dieselben Funktionen hat.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""physics-and-astronomy""}]","[""188145480""]","[""Siemens Digital Industries Software""]",INTERMEDIATE,Angewandte numerische Fluiddynamik,"[""781""]",http://coursera-university-assets.s3.amazonaws.com/e8/442676fd5b41c7a7dbbbe96fbd0a9c/Siemens_Wide-logo-mktg_200w.png,"[""Siemens""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/aa/848efb30be4d09a1b52bbfb21c339b/Heraeus-Noblelight-Soluva-CFD-1_original.png,"[""de""]",[],applied-computational-fluid-dynamics-de,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",RJEQ86RxEeyoLArJWUaFJw,v2.ondemand,"In diesem geführten Projekt, werden Sie ( 3 lernziele ) lernen. Wie Sie eine Facebook-Seite und eine Facebook-Unternehmensseite erstellen und verstehen, wie Sie Ihre Facebook-Unternehmensseite effektiv verwalten.
Am ende dieses Projekts haben Sie gelernt, wie Sie mit dem Facebook Business Manager beginnen können.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""97305693""]","[""Ali khalil aoun""]",BEGINNER,Beginnen Sie mit dem Facebook Business Manager,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f1/fa78f2b225497c90e48eb5e2af3bb3/images-6-.png,"[""de""]",[],beginnen-sie-mit-dem-facebook-business-manager,[],2 Stunden,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert"", ""Specialization""]",DluDxJoTEfCaDg5y9-nRsw,v2.ondemand,"„Die vielfältigen Formen generativer KI“ ist der dritte Kurs des Lernpfads „Generative AI Leader“. Generative KI verändert die Art und Weise, wie wir arbeiten und mit der Welt um uns herum interagieren. Aber wie können Sie als Führungskraft die Möglichkeiten von KI nutzen, um echte Geschäftsergebnisse zu erzielen? In diesem Kurs lernen Sie die verschiedenen Ebenen der Entwicklung von generativen KI-Lösungen, die Angebote von Google Cloud und die Faktoren kennen, die bei der Auswahl einer Lösung zu berücksichtigen sind.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Die vielfältigen Formen generativer KI ,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ce/0d2705a72641af9f69cbdf075bbc38/Logo-Image_GC-Projects.png,"[""de""]","[""4UNn9MKjT2KhPv3dPCrlow""]",gen-ai-navigate-the-landscape-de,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",Q3I4btRvEeyS9RLEXEFb1w,v2.ondemand,"Nach Abschluss dieses Projekts, kannst du ansprechende Stories für Instagram und Facebook mit Hilfe der gratis Version von Visme entwerfen. 

User von sozialen Netzwerken werden im heutigen Zeitalter von Informationen und Bildern regelrecht überschwemmt. Aufgabe des Social Media Marketings ist es daher, kreative Wege zu finden um die Aufmerksamkeit der User für ihre Produkte und Dienstleistungen zu gewinnen. 

Die webbasierte Plattform Visme bietet alle nötigen Werkzeuge um visuell attraktive und organisierte Produkte alleine, oder als Team  zu kreieren und zu teilen. Am Ende dieses Projekts wirst du gelernt haben Grafikdesign Techniken anzuwenden um kreative und ansprechende Stories für Instagram und Facebook zu entwerfen. Deine neuen Kenntnisse werden dir dabei behilflich sein, deine Marke in den sozialen Medien zu bewerben und die Aufmerksamkeit deiner Zielgruppe zu gewinnen.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""74149180""]","[""Michelle Flores""]",BEGINNER,Erstelle Stories für Instagram und Facebook in Visme,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/28/29740cbb9f4dbd816caf32af8a78ac/Design-ohne-Titel-22-.png,"[""de""]",[],erstelle-stories-instagram-facebook-visme,[],2 Stunden,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",3AZoVQu8EfC_-w572D3gsw,v2.ondemand,"Künstliche Intelligenz (KI) bietet revolutionäre Möglichkeiten, geht aber auch mit neuen Sicherheitsherausforderungen einher. In diesem Kurs lernen Führungskräfte im Bereich Sicherheit und Datenschutz Strategien für den sicheren Umgang mit KI in ihren Unternehmen kennen. Es wird ein Framework für das proaktive Erkennen und Mindern KI-spezifischer Risiken, den Schutz sensibler Daten, das Einhalten rechtlicher Vorgaben und den Aufbau einer robusten KI-Infrastruktur vorgestellt. Anhand von Anwendungsfällen aus vier verschiedenen Branchen wird gezeigt, wie sich diese Strategien auf reale Szenarien anwenden lassen.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Einführung in Sicherheitskonzepte in der Welt der KI,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/47/3e7be5f51949dea2e178bc1e8cddbb/Logo-Image_GC-Projects-1-.png,"[""de""]",[],introduction-to-security-in-the-world-of-ai-de,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",R9-oreNqEeqHQQpUXbtyRQ,v2.ondemand,"Trotz aller guten Absichten, harter Arbeit und solider Ideen entwickeln zu viele Teams Produkte, die niemand will, die niemand verwenden kann und die niemand kauft. Das muss aber nicht so sein. Eine agile und designorientierte Denkweise bietet einen anderen – und effektiven – Ansatz für die Produktentwicklung, der wertvolle Lösungen für bedeutungsvolle Probleme liefert. In diesem Kurs erfahren Sie, wie Sie in den Anfangsphasen des Prozesses feststellen können, was für einen Nutzer wertvoll ist – um diesen Wert zu steigern –, indem Sie den Fokus Ihres Teams auf prüfbare Geschichten über den Nutzer lenken und eine starke gemeinsame Perspektive schaffen. 

Dieser Kurs wird vom Batten Institute der Darden School of Business der UVA unterstützt. Die Mission des Batten Institute ist es, die Welt durch Unternehmertum und Innovation zu verbessern: www.batteninstitute.org.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""14054880""]","[""Alex Cowan""]",BEGINNER,Agiles Arbeiten trifft auf Design Thinking,"[""18""]",http://coursera-university-assets.s3.amazonaws.com/0f/80aa19dc384a7482ea6f428601255d/uva_primary_rgb.png,"[""University of Virginia""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4c/38c7d0d00d11e59a077f9489134fcd/Course-1-rev-image.png,"[""de""]",[],uva-darden-getting-started-agile-de,[],"Fünfwöchiger Kurs, 1 - 2 Stunden / Woche",sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",e3Oes6RwEeyoLArJWUaFJw,v2.ondemand,"In diesem geführten Projekt, werden Sie ( 3 lernziele ) lernen.
Erfahren Sie alles über das Erstellen eines Geschäftskontos, erfahren Sie mehr über die Verwendung des Facebook-Geschäftsmanagerkontos Schritt für Schritt und hinzufügen von Unternehmensseiten zu Ihrem Business-Manager-Konto und Zuweisen von Personen für Vermögenswerte.
Am ende dieses Projekts haben Sie gelernt, wie Sie einen Facebook Geschäftsführer Konto erstellen könnon und Sie es einfach benutzen.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""97305693""]","[""Ali khalil aoun""]",BEGINNER,Wie erstellen Sie einen Facebook-Geschäftsführer,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e8/f5dff97e504a90bcdb723453ba92f3/images-22-.jpg,"[""de""]",[],wie-erstellen-sie-einen-facebook-geschaftsfuhrer,[],2 Stunden,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",xMVeNUepEfG0tQ6ST1LlBQ,v2.ondemand,"Dieser Kurs bietet einen umfassenden Leitfaden zum Bereitstellen, Verwalten und Optimieren von KI- und HPC-Arbeitslasten (Hochleistungs-Computing) auf Google Cloud. In einer Reihe von Lektionen und praktischen Demonstrationen lernen Sie verschiedene Bereitstellungsstrategien kennen – von hochgradig anpassbaren Umgebungen mit der Google Compute Engine (GCE) bis hin zu verwalteten Lösungen wie der Google Kubernetes Engine (GKE). Dabei lernen Sie, wie Sie Cluster erstellen und GKE für Inferenzprozesse bereitstellen.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,KI-Infrastruktur: Bereitstellungsarten,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/71/6e1d7efb824edd90edf7bea6471036/GFX_Coursera_Asset_Full_1200x1200.png,"[""de""]",[],ai-infrastructure-deployment-types-de,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",Bg_LOEl-Ee-mywr_6bZvLw,v2.ondemand,"In diesem Kurs wird die Vertex AI-Vektorsuche vorgestellt und beschrieben, wie sie beim Erstellen einer Suchanwendung mit Large Language Model-APIs (LLM) für Einbettungen genutzt werden kann. Der Kurs besteht aus konzeptionellen Lektionen über Vektorsuche und Texteinbettungen, interaktiven Demos zum Erstellen einer Vektorsuche in Vertex AI und einem praxisorientierten Lab.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Vektorsuche und Einbettungen,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f6/88c219850b45f7ad09c35fdc85bdfe/Logo-Image_GC-Projects-1-.png,"[""de""]",[],vector-search-and-embeddings-deutsch,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",TLgzS9a1EfCkVRLNZw25sQ,v2.ondemand,"In diesem Kurs wird Gemini Enterprise vorgestellt, eine leistungsstarke Plattform, die KI-Agenten, Unternehmenssuche, NotebookLM und intelligenten Datenzugriff verbindet, damit Unternehmen ihre Herausforderungen lösen können. Anhand von Beispielen aus der Praxis und praktischen Übungen lernen Teilnehmer, wie sie die Funktionen von Gemini Enterprise für echte Geschäftsanforderungen nutzen, die Architektur beschreiben und erklären, wie Datenzugriff und Datenschutz in verschiedenen Aufgabenbereichen gehandhabt werden.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Einführung in Gemini Enterprise,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fa/1f6cee63464342b83a01a0b1baf650/GFX_Coursera_Asset_Full_1200x1200.png,"[""de""]",[],introduccin-a-gemini-enterprise-de,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",cmhUFz3LEe-9Ig7qA4dB5w,v2.ondemand,"In diesem Kurs werden Diffusion-Modelle vorgestellt, eine Gruppe verschiedener Machine Learning-Modelle, die kürzlich einige vielversprechende Fortschritte im Bereich Bildgenerierung gemacht haben. Diffusion-Modelle basieren auf physikalischen Konzepten der Thermodynamik und sind in den letzten Jahren in der Forschung und Industrie sehr beliebt geworden. Dabei stützen sich Diffusion-Modelle auf viele innovative Modelle und Tools zur Bildgenerierung in Google Cloud. In diesem Kurs werden Ihnen die theoretischen Grundlagen der Diffusion-Modelle erläutert und wie Sie diese Modelle über Vertex AI trainieren und bereitstellen können.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Introduction to Image Generation - Deutsch,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2c/d4433c8d534fc2b20384a6bf636c4f/Logo-Image_GC-Projects-1-.png,"[""de""]",[],introduction-to-image-generation---deutsch,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert"", ""Specialization""]",AQavXhzgEeyguw70hCEltQ,v2.ondemand,"Dies ist der fünfte Kurs des Projektmanagement-Zertifikatsprogramms von Google. Dieser Kurs beschäftigt sich mit der historischen Entwicklung, dem Ansatz und der Philosophie des agilen Projektmanagements, einschließlich des Scrum-Frameworks. Sie lernen, agile und andere Projektmanagement-Ansätze zu differenzieren und zu kombinieren. Im Laufe des Kurses erfahren Sie mehr über die Scrum-Methode, beschäftigen sich mit deren Säulen und Werten und vergleichen wesentliche Scrum-Teamrollen. Sie erfahren, wie Sie ein Product Backlog erstellen, verwalten und präzisieren, die wertorientierten Lieferstrategien von Agil implementieren und eine Value Roadmap definieren. Sie erlernen zudem Strategien, um die fünf wichtigen Scrum-Ereignisse für ein Scrum-Team zu organisieren, einen agilen oder Scrum-Ansatz in eine Organisation einzuführen und ein agiles Team zu coachen. Schließlich erfahren Sie, wie Sie agile Rollen suchen und sich erfolgreich darauf bewerben. Derzeitige Projektmanagende bei Google werden Sie weiterhin anleiten und Ihnen die praktischen Ansätze, Tools und Ressourcen an die Hand geben, mit denen Sie Ihre Ziele erreichen.

Lernende, die dieses Programm abschließen, können sich auf Einstiegspositionen im Projektmanagement bewerben. Es sind keine Vorkenntnisse erforderlich.

Nach Abschluss dieses Kurses können Sie: 
 - Den Ansatz und die Philosophie von agilem Projektmanagement, sowie die Werte und Prinzipien erklären
 - Die Säulen von Scrum und wie sie Scrum-Werte unterstützen erklären
 - Die wesentlichen Rollen in einem Scrum-Team und was sie effektiv macht identifizieren und vergleichen
 - Ein Product Backlog erstellen und verwalten und ein Backlog Refinement durchführen
 - Die fünf wichtigen Scrum-Ereignisse beschreiben – und wie jedes einzelne Ereignis für ein Scrum-Team eingerichtet wird
 - Die wertorientierten Lieferstrategien von Agil implementieren und eine Value Roadmap definieren
 - Erläutern, wie Sie ein agiles Team coachen und ihm helfen, Herausforderungen zu meistern
 - Eine Jobsuche für eine agile Rolle durchführen und lernen, wie Sie in Ihrem Vorstellungsgespräch erfolgreich sein können","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,Agiles Projektmanagement,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/11/db32edad03442786abc8aba72e758b/1200x600_certsResize_3-1-.png,"[""de""]","[""GHJWlDgjEeygcBLCZu413w"", ""Si0HsK10Ee2ACwpBiZpBew""]",agiles-projektmanagement,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",6YLcI04LEfGWtRJ02S6Hnw,v2.ondemand,"In diesem Kurs lernen die Teilnehmenden, wie sie ihre Google Workspace-Umgebung schützen können. Sie implementieren strenge Passwortrichtlinien und die Bestätigung in zwei Schritten, um den Nutzerzugriff zu steuern. Anschließend lernen sie, wie sie mit dem Sicherheitsprüftool Risiken proaktiv erkennen und darauf reagieren können. Als Nächstes verwalten sie den Zugriff auf Drittanbieter-Anwendungen und Mobilgeräte, um für Sicherheit zu sorgen. Abschließend setzen die Teilnehmenden Maßnahmen für E-Mail-Sicherheit und Compliance um, die Unternehmensdaten schützen sollen.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Sicherheit in Google Workspace,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6b/4322adcfbb4e17804360885bc4eca1/Logo-Image_GC-Projects.png,"[""de""]",[],google-workspace-security-de,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",4I02cgmlEfCkPBKpO2YRyQ,v2.ondemand,"In diesem kurzen Kurs zur Verknüpfung von Anwendungen mit Gemini in Google Cloud lernen Sie die Gemini API und die zugehörigen generativen KI-Modelle kennen. Sie erfahren, wie Sie vom Code aus auf Gemini-Modelle zugreifen. Dabei können Sie die Funktionen der Modelle mithilfe von Text-, Bild- und Videoprompts über eine Anwendung testen.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Anwendungen mit Gemini in Google Cloud einbinden,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/50/8695b0c9a24b1882f65966529954bb/GFX_Coursera_Asset_Full_1200x1200.png,"[""de""]",[],anwendungen-mit-gemini-pro-in-google-cloud-einbinden,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",NVbzvONuEeqEfw7P8-pkxQ,v2.ondemand,"Grafikdesign ist präsenter als je zuvor! Wörter und Bilder – die Bausteine des Grafikdesigns – sind die Elemente, die den größten Teil des Inhalts der digitalen wie auch der gedruckten Welt beinhalten. Da Grafikdesign in unserem Leben sichtbarer und vorherrschender wird, wird Grafikdesign als Praxis in unserer Kultur immer wichtiger.

In diesem Kurs lernen Sie anhand visueller Beispiele die Grundprinzipien des Grafikdesigns kennen: Bildgestaltung, Typografie, Komposition, Arbeiten mit Farbe und Form... Grundkenntnisse, die in allen Bereichen der Grafikdesignpraxis üblich sind. Ziel ist nicht, dass Sie sich nur ein Video von jemandem ansehen, der über Design spricht, stattdessen möchte ich, dass Sie Design MACHEN! Wenn Sie Designer werden möchten, müssen Sie Macher und Kommunikator sein. Dieser Kurs bietet Ihnen daher viele Möglichkeiten, um sich bei Übungen und praktischeren Projekten die Hände schmutzig zu machen.

Am Ende dieses Kurses haben Sie gelernt, wie Sie die visuelle Darstellung durch eine Reihe von Bildgestaltungstechniken untersuchen und analysieren können. Sie werden die Grundprinzipien des Arbeitens mit Form, Farbe und Muster verstehen und sich mit den Begriffen und den Fähigkeiten der Typografie auseinandergesetzt haben; Außerdem verstehen Sie die Prinzipien der Komposition und des visuellen Kontrasts und haben diese angewandt. Wenn Sie den Kurs zusammen mit den optionalen (aber sehr empfohlenen) Aufgaben abschließen, verfügen Sie über grundlegende Fähigkeiten im Bereich Grafikdesign, die Sie auf Ihre eigenen Projekte anwenden oder einsetzen können, um einen speziellen Bereich des Grafikdesigns genauer zu untersuchen.

Um diesen Kurs erfolgreich zu absolvieren, benötigen Sie Zugriff auf einen Computer. Sie können diesen Kurs zwar auch ohne Computer absolvieren, aber dann ist er schwieriger. Der Zugriff auf und Grundkenntnisse im Zusammenhang mit Adobe Creative Suite-Programmen wie Illustrator, Photoshop und InDesign sind hilfreich, insbesondere wenn Sie die optionalen Aufgaben absolvieren möchten.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""13861463""]","[""Michael Worthington""]",BEGINNER,Grundlagen des Grafikdesigns,"[""59""]",http://coursera-university-assets.s3.amazonaws.com/fe/fb91004b1711e7a2897be74585bdad/Logo_200x48.png,"[""California Institute of the Arts""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/dc/1d37b0e47f11e5a403f7dee24cfcd7/01.FUND_1200-x-1200_logo.jpg,"[""de""]",[],fundamentals-of-graphic-design-de,[],"4 Wochen Kurs, 5 - 8 Stunden / Woche",sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",dK5FsM1iEeyIXQ7d-KWeWQ,v2.ondemand,"Nach Abschluss dieses Projekts, kannst du ansprechende Stories für Instagram und Facebook mit Hilfe der gratis Version von Easil entwerfen. 

User von sozialen Netzwerken werden im heutigen Zeitalter von Informationen und Bildern regelrecht überschwemmt. Aufgabe des Social Media Marketings ist es daher, kreative Wege zu finden um die Aufmerksamkeit der User für ihre Produkte und Dienstleistungen zu gewinnen. 

Die webbasierte Plattform Easil bietet alle nötigen Werkzeuge um visuell attraktive und organisierte Produkte alleine, oder als Team  zu kreieren und zu teilen. Am Ende dieses Projekts wirst du gelernt haben Grafikdesign Techniken anzuwenden um kreative und ansprechende Stories für Instagram und Facebook zu entwerfen. Deine neuen Kenntnisse werden dir dabei behilflich sein, deine Marke in den sozialen Medien zu bewerben und die Aufmerksamkeit deiner Zielgruppe zu gewinnen.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""74149180""]","[""Michelle Flores""]",BEGINNER,Erstelle Stories für Instagram und Facebook in Easil,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7d/9d761e30664a3f9addd6a46e77c894/Design-ohne-Titel-16-.png,"[""de""]",[],erstelle-stories-instagram-facebook-easil,[],2 Stunden,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",ER2mP6OLEey0xw5od3FNew,v2.ondemand,"Nach Abschluss dieses Projekts wirst du gelernt haben dein virtuelles Klassenzimmer mit Hilfe der gratis Version von Canva zu designen und einzurichten. Virtuellem Lernen kommt eine immer größere Bedeutung zu. Im heutigen Zeitalter wird die digitale Verteilung von Lerninhalten immer wichtiger. 
In diesem angeleiteten Projekt wirst du heute einen virtuellen Zoom Hintergrund kreieren. Außerdem wirst du einen virtuellen Klassenraum für deine Lernplattform erstellen.

Die web basierte Plattform Canva bietet alle nötigen Werkzeuge um visuell attraktive und organisierte Produkte alleine, oder als Team  zu kreieren und zu teilen. Am Ende dieses Projekts wirst du gelernt haben, Grafikdesign Tools und Techniken anzuwenden um deinen virtuellen Klassenraum kreativ und attraktiv zu gestalten.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}, {""domainId"": ""information-technology"", ""subdomainId"": ""networking""}]","[""74149180""]","[""Michelle Flores""]",BEGINNER,Gestalte deinen virtuellen Klassenzimmer mit Canva,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9c/66beff96864166b83797f674c27259/Design-ohne-Titel-10-.png,"[""de""]",[],gestalte-virtuelles-klassenzimmer-canva,[],2 Stunden,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",YrV-NI8REeySRg4Nwg3igw,v2.ondemand,"Nach Abschluss dieses Projekts wirst du gelernt haben Grafiken für Facebook mit Hilfe der gratis Version von Visme zu gestalten.

Mit Hilfe der webbasierten Grafikdesign Plattform Visme wirst du lernen, deine Social Media Marketing Strategie zu optimieren und deine Marke effektiv auf Facebook zu bewerben.

Visme bietet alle nötigen Werkzeuge um visuell attraktive und organisierte Produkte alleine, oder als Team  zu kreieren und zu teilen. Dieses web basiertes Online-Gestaltungs-Tool, erlaubt jedem User, einfache oder komplexe Grafiken zu erstellen. Visme setzt keine Installation von Software voraus um Projekte zu kreieren.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""74149180""]","[""Michelle Flores""]",BEGINNER,Erstelle Grafiken für Facebook in Visme,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3a/fba1fd780d4ed7b52d86274f28d954/Untitled-design-8-.png,"[""de""]",[],erstelle-grafiken-facebook-visme,[],2 Stunden,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",19JahumCEeyozBJ-29c9rQ,v2.ondemand,"Bei der Finite-Element-Modellierung führt ein feineres Netz in der Regel zu einer genaueren Lösung. Je feiner jedoch ein Netz ist, desto länger ist die Berechnungszeit. Wie erhalten Sie ein Netz, das zufriedenstellend Genauigkeit mit Rechenressourcen in Einklang bringt? 

Eine Möglichkeit ist die Durchführung einer Netzkonvergenzstudie.

SimScale ist eine technische Simulationsplattform, die die Art und Weise revolutioniert, wie Ingenieure, Designer, Wissenschaftler und Studenten Produkte entwerfen. Die SimScale-Plattform ist vollständig über einen Standard-Webbrowser zugänglich und verfügt über eine einfach zu bedienende Schnittstelle, die zahlreiche Simulationstypen unterstützt, darunter Festkörpermechanik (FEM), Strömungsdynamik (CFD) und Thermodynamik.

Dieser Kurs läuft auf Coursera's praktischer Projektplattform namens Rhyme. Auf Rhyme führen Sie Projekte praxisnah in Ihrem Browser durch. Sie erhalten sofortigen Zugang zu vorkonfigurierten Cloud-Desktops, die alle Software und Daten enthalten, die Sie für das Projekt benötigen. Für dieses Projekt benötigen Sie keine speziellen Einstellungen oder Daten. Alles ist bereits direkt in Ihrem Internetbrowser eingerichtet, so dass Sie sich ganz auf das Lernen konzentrieren können!

Anmerkungen:
- Dieser Kurs eignet sich am besten für Lernende, die in der Region Nordamerika ansässig sind. Wir arbeiten derzeit daran, die gleiche Erfahrung auch in anderen Regionen anzubieten.","[{""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""physics-and-astronomy""}]","[""27067111""]","[""Jousef Murad""]",BEGINNER,Netzkonvergenzstudien in der Finiten Elemente Methode,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fd/7b57d138de47e887b0d521f8ce1d61/fem_800x800.png,"[""de""]",[],netzkonvergenzstudie-finite-elemente-methode,[],1 hour,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",IQftIFK9EfGFig4KZvIMaw,v2.ondemand,"Mit dem Kurs „Zukunftsfähige Strategie: KI-Agenten entdecken, entwerfen und Prototypen erstellen“ werfen Sie einen Blick voraus. Sie lernen, wie Sie das Framework von Google für die Transformation mit agentischer KI nutzen und einen Fortschritt von reinen Chatbots hin zu autonomen Teammitgliedern erzielen. Anhand eines Anwendungsfalls aus dem Einzelhandel lernen Sie, den Geschäftswert zu quantifizieren, KI-Projekte zu priorisieren, kritische Nutzerpfade zu ermitteln und funktionale Prototypen mit No-Code-Tools wie Google AI Studio und Gemini Enterprise zu erstellen. Dieser Kurs bietet eine solide Roadmap, die für die Geschäftsführung sowie technische Führungskräfte notwendig ist, um ihr Unternehmen in das Zeitalter der agentischen KI zu leiten.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,"Zukunftsfähige Strategie: KI-Agenten entdecken, entwerfen und Prototypen erstellen","[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/40/5f1f4bfb784d73bf88c68a7c705b76/GFX_Coursera_Asset_Full_1200x1200.png,"[""de""]",[],agentic-strategy-discover-design-and-prototype-de,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",BqAhFq7UEeyiqQr1qP1QDw,v2.ondemand,"Nach Abschluss dieses Projekts wirst du verschiedene Techniken in Canva  gelernt haben um Arbeitsblätter für dein Klassenzimmer, deinen Blog oder für Verkaufsportale zu gestalten. Wir werden die kostenlose Version von Canva verwenden.

Die digitale Grafikdesign-Plattform Canva bietet alle Voraussetzungen um ansprechende Arbeitsblätter zu kreieren, die deine Schüler lieben werden. Deiner Phantasie sind hierbei keine Grenzen gesetzt. Canva macht es dir möglich professionelle Arbeitsblätter zu erstellen, ohne ein Profi auf dem Gebiet Design sein zu müssen.

Egal ob du Materialien für dein Klassenzimmer, deinen virtuellen Kurs, deinen Blog oder für ein Verkaufsportal erstellst, Canva ermöglicht es dir deine Ideen umzusetzen.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""74149180""]","[""Michelle Flores""]",BEGINNER,Erstelle und verkaufe digitale Arbeitsblätter mit Canva,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1a/1b35efc310448fab1ca14b97beb80b/Design-ohne-Titel-12-.png,"[""de""]",[],erstelle-verkaufe-digitale-arbeitsblatter-canva,[],2 Stunden,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",d76roT92Ee-9Ig7qA4dB5w,v2.ondemand,"In diesem Kurs wird der Aufmerksamkeitsmechanismus vorgestellt. Dies ist ein leistungsstarkes Verfahren, das die Fokussierung neuronaler Netzwerke auf bestimmte Abschnitte einer Eingabesequenz ermöglicht. Sie erfahren, wie der Aufmerksamkeitsmechanismus funktioniert und wie Sie damit die Leistung verschiedener Machine Learning-Tasks wie maschinelle Übersetzungen, Zusammenfassungen von Texten und Question Answering verbessern können.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Attention Mechanism - Deutsch,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0f/c5695956cb45649eb131fc22934a0b/GFX_Coursera_Asset_Full_1200x1200.png,"[""de""]",[],attention-mechanism-de,[],"1 week of study, 6-8 hours",sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",I54_Sj78EfGaLgr_5iA_Tw,v2.ondemand,"In diesem Kurs wird vermittelt, wie Daten in einer Google Workspace-Umgebung verwaltet werden. Die Teilnehmenden lernen, wie sie Regeln zum Schutz vor Datenverlust in Gmail und Drive einrichten, um Datenlecks zu verhindern. Anschließend erfahren sie, wie sie Google Vault für die Aufbewahrung, die Sicherung und das Abrufen von Daten nutzen können. Als Nächstes lernen sie, wie sie Datenregionen und Exporteinstellungen so konfigurieren, dass sie den Vorschriften entsprechen. Außerdem wird gezeigt, wie Daten mithilfe von Labels klassifiziert werden können, um sie besser zu organisieren und zu schützen.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Data Governance bei der Google Workspace-Nutzung,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a9/46d3f816384f63a772905d07f954cb/GFX_Coursera_Asset_Full_1200x1200.png,"[""de""]",[],data-governance-bei-der-google-workspace-nutzung,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",Omr6HN5fEeqqMw6_qMVRyQ,v2.ondemand,"In diesem ersten Kurs der Spezialisierung „Excel-Kenntnisse für Unternehmen“ lernen Sie die Grundlagen von Microsoft Excel kennen. Innerhalb von sechs Wochen werden Sie in der Lage sein, professionell durch die Excel-Benutzeroberfläche zu navigieren, grundlegende Berechnungen mit Formeln und Funktionen durchzuführen, Arbeitsblätter professionell zu formatieren und Visualisierungen von Daten mithilfe von Diagrammen und Grafiken zu erstellen.

Ob Sie Autodidakt sind und Lücken für mehr Effizienz und Produktivität schließen möchten, oder ob Sie Excel noch nie zuvor verwendet haben – dieser Kurs bietet Ihnen eine solide Grundlage, um als Benutzer selbstbewusster zu werden und sich in späteren Kursen fortgeschrittenere Fähigkeiten anzueignen. 

Wir haben ein großartiges Team von Lehrern zusammengestellt, das Sie bei jedem Schritt begleiten wird. Eine breite Palette von Übungstests und Aufgaben bietet großartige Möglichkeiten, um Ihre Fähigkeiten auszubauen. Arbeiten Sie jede neue Aufgabe mit unserem Team durch, und Sie werden in kürzester Zeit selbst überrascht sein, wie weit Sie gekommen sind. 

Tabellenkalkulationssoftware ist eine der häufigsten Softwarekomponenten, die weltweit an Arbeitsplätzen verwendet werden. Wenn Sie lernen, diese Software sicher zu nutzen, können Sie Ihr Vermittelbarkeitsportfolio nachhaltig erweitern. In einer Zeit, in der Jobs, für die digitale Kompetenzen erforderlich sind, immer häufiger werden, als Jobs, für die keine digitalen Kompetenzen benötigt werden, sollten Sie sich von anderen abheben, indem Sie Ihrem Beschäftigungsportfolio Excel-Kompetenzen hinzufügen.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""25910599"", ""5180246"", ""24285729""]","[""Nicky Bull"", ""Professor Yvonne Breyer"", ""Assoc Prof Prashan S. M. Karunaratne""]",BEGINNER,Excel-Kenntnisse für Unternehmen: Grundlagen,"[""254""]",http://coursera-university-assets.s3.amazonaws.com/cf/ed52a39ecb41868171ebaf3e9cfb76/MQ_INT_HOR_RGB_POS---COLOUR.png,"[""Macquarie University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e9/14e752193046c78641bb4a48a01e57/ICON-1.jpg,"[""de""]",[],excel-essentials-de,[],"6-wöchige Schulung, 2-4 Stunden pro Woche",sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",ULM2bFPbEe-SdxJ_Axw1wQ,v2.ondemand,"In diesem Kurs werden wichtige Themen zu Datenschutz und Sicherheit beim Einsatz von künstlicher Intelligenz vorgestellt. Dabei lernen Sie, wie Sie mit Google Cloud-Produkten und Open-Source-Tools empfohlene Vorgehensweisen im Zusammenhang mit Datenschutz und Sicherheit beim Einsatz von KI umsetzen.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,Responsible AI for Developers: Privacy & Safety - Deutsch,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c9/7498cc241f462c9e1370e2e654218b/Logo-Image_GC-Projects-1-.png,"[""de""]",[],responsible-ai-for-developers-privacy-safety-deutsch,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",l7L8jYNOEeyZpA5CCq0GfQ,v2.ondemand,"Nach Abschluss dieses Projekts wirst du gelernt haben mit Hilfe der Grafikdesign Plattform Visme  deine Marke digital zu bewerben.

Visme ist ein web basiertes Online-Gestaltungs-Tool, dass jedem User erlaubt, einfache oder komplexe Grafiken zu erstellen. Visme setzt keine Installation von Software voraus um Projekte zu kreieren.
Die web basierte Plattform Visme bietet alle nötigen Werkzeuge um visuell attraktive und organisierte Produkte alleine, oder als Team zu kreieren und zu teilen. Am Ende dieses Projekts wirst du gelernt haben, Grafikdesign Tools anzuwenden um kreative und visuell ansprechende Projekte zu gestalten.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""74149180""]","[""Michelle Flores""]",BEGINNER,Erstelle digitale Produkte in Visme ,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ef/47baa1cde844519f19fc13f03d60c3/Design-ohne-Titel-5-.png,"[""de""]",[],erstelle-digitale-produkte-visme,[],2 Stunden,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",7AqTtU0-EeyXwg7498hk1w,v2.ondemand,"Nach Abschluss dieses Projekts wirst du gelernt haben ein digitales Mood Board  mit Hilfe der Gratis Version von Canva zu kreieren.

Bei einem Moodboard handelt es sich um eine Collage, in der Materialien, Bilder, Text und andere Designelemente arrangiert werden, um einen Gesamteindruck über ein Design- oder Gestaltungskonzept zu  vermitteln.  Das Ziel besteht darin,  eine Visualisierung laufender Projekte zu schaffen.

Die web basierte Plattform Canva bietet alle nötigen Werkzeuge um visuell attraktive und organisierte Produkte alleine, oder als Team  zu kreieren und zu teilen. Mit Hilfe von Canva wirst du lernen Fotos, Text und andere Designelemente in dein Projekt einzufügen. Zunächst wirst du deine Gedanken und Ideen sortieren, um sie dann mit Hilfe der webbasierten Grafikdesign Plattform zum Leben zu erwecken und ein Moodboard zu erstellen, welches dir als Vorlage für zukünftige Projekte dienen wird.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""74149180""]","[""Michelle Flores""]",INTERMEDIATE,Erstelle ein digitales Moodboard in Canva,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5f/538ed205a34390bba6921678c12476/Canva_infografia.jpg,"[""de""]",[],erstelle-digitales-moodboard-canva,[],2 Stunden,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",OWyBbqRvEeyoLArJWUaFJw,v2.ondemand,"In diesem geführten Projekt, werden Sie ( 3 lernziele ) lernen.
Erstellen Sie  einen Video-Tweet entweder auf deinem Desktop oder deinem Handy,Posten Sie einen Video-Tweet entweder auf deinem Desktop oder deinem Handy und Gewinnen Sie mehr Follower, indem Sie die besten Videos einfügen, die Sie erstellen.
Am ende dieses Projekts haben Sie gelernt, wie Sie mehr Follower auf Ihrem eigenen Twitter-Konto bekommen.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""97305693""]","[""Ali khalil aoun""]",BEGINNER,"Erhalten Sie mehr Followers auf Twitter, indem Sie Videos-Tweet posten","[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/97/24808e7f3b4186a570d5bc7abcec1e/images-23-.jpg,"[""de""]",[],erhalten-sie-mehr-followers-auf-twitter-indem-sie-videos-tweet-posten,[],2 Stunden,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",wCv5dMSDEeyG4BLZc9OB2w,v2.ondemand,"Nach Abschluss dieses Projekts, kannst du dein Kleinunternehmen mit Hilfe der gratis Version von Canva auf Facebook bewerben.

Du wirst in diesem angeleiteten Projekt lernen die Grafikdesign Plattform Canva zu nutzen, um Facebook Anzeigen, Facebook Posts und ein Facebook Titelbild zu erstellen.

Egal, ob du eine neue Marke startest oder eine bestehende mithilfe deiner Social-Media-Strategie optimieren möchtest – visuelle Inhalte unterstützen dich bei der Etablierung deiner Online-Identität.
Die web basierte Plattform Canva bietet alle nötigen Werkzeuge um visuell attraktive und organisierte Produkte alleine, oder als Team  zu kreieren und zu teilen. Am Ende dieses Projekts wirst du gelernt haben, Grafikdesign Tools anzuwenden um kreative und attraktive Inhalte für Facebook zu erstellen und deine Marke oder dein Kleinunternehmen auf Facebook  zu bewerben.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""74149180""]","[""Michelle Flores""]",BEGINNER,Bewirb dein Kleinunternehmen auf Facebook mit Canva,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ab/c6ae3e7dea44c6bae0e9a87bb0367a/Design-ohne-Titel-15-.png,"[""de""]",[],bewirb-kleinunternehmen-facebook-canva,[],2 Stunden,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",6niNCl6gEeySBQ4Y4RRJnQ,v2.ondemand,"Nach Abschluss dieses Projekts wirst du gelernt haben Grafikdesignplattform Easil zu nutzen und individuelle Posts für Soziale Medien zu kreieren. Wir werden heute die kostenlose Easil Version zur Erstellung unserer Projekte verwenden.

User von sozialen Netzwerken werden im heutigen Zeitalter von Informationen und Bildern regelrecht überschwemmt. Aufgabe des Social Media Marketings ist es daher, kreative Wege zu finden um die Aufmerksamkeit der User für ihre Produkte und Dienstleistungen zu gewinnen. Dies erfolgt oftmals auf Basis eines sehr geringen Marketing Budgets. 

Die webbasierte Plattform Easil bietet alle nötigen Werkzeuge um visuell attraktive und organisierte Produkte  zu kreieren und in den sozialen Medien zu teilen. Deine neu erworbenen Kenntnisse werden dir in Zukunft dabei behilflich sein, dein Business zu bewerben und deinen Wiedererkennungswert zu steigern.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""74149180""]","[""Michelle Flores""]",BEGINNER,Einführung in Easil für Soziale Medien,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d3/8e78b81e534137abdb4fce2277c8b5/Canva_infografia.jpg,"[""de""]",[],einfuehrung-easil-soziale-medien,[],2 Stunden,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",cNVXWEUsEeyDww6AVbEsWw,v2.ondemand,"Nach Abschluss dieses Projekts kannst du auf Facebook Audience Insights zugreifen und  wichtige Eigenschaften deiner Zielgruppe für deine Facebook Werbekampagnen filtern. Du wirst lernen die Interessen deiner Zielgruppe gezielt mit Hilfe von Facebook Audience Insights zu analysieren  und dein Wissen bei der Erstellung einer  Werbekampagne anzuwenden.

Das Ziel von Social Media Marketing besteht darin kreative Wege zu finden um seine Zielgruppe in den sozialen Medien anzusprechen und für deine Produkte oder Dienstleistungen zu begeistern. Dies geschieht oftmals auf Basis eines geringen Marketing Budgets. 

Heute wirst du zunächst eine Facebook Business Seite  und anschließend einen Facebook Business Manager Account erstellen. Wir werden gemeinsam auf Facebook Insights zuzugreifen und dieses Marketing Analytics Tool dazu verwenden,  um die Gewohnheiten deiner Zielgruppe auf Facebook  besser zu verstehen.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""74149180""]","[""Michelle Flores""]",INTERMEDIATE,Finde Zielgruppen-Interessen mit Facebook Audience Insights ,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/64/504aadca964aa59e6fb20b70049295/Canva_redes.jpg,"[""de""]",[],finde-zielgruppen-interessen-facebook-audience-insights,[],2 Stunden,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert"", ""Specialization""]",6tFWyB2LEeyaIhLqueZBhQ,v2.ondemand,"„Responsives Web Design in Adobe XD“ ist der sechste Kurs des Zertifikatsprogramms, mit dem Sie die nötigen Fähigkeiten erwerben, um sich für Einstiegspositionen im Bereich User Experience Design (UX-Design) zu bewerben. In diesem Kurs entwerfen Sie mit dem beliebten Designtool Adobe XD eine responsive Website. Sie werden den gesamten Designprozess durchlaufen: sich in die Anwendenden hineinversetzen, ihre Probleme identifizieren, Ideen für Designlösungen finden, Wireframes und Prototypen erstellen, Designs testen und Feedback einholen. Am Ende des Kurses haben Sie ein neues Designprojekt, das Sie in Ihr professionelles UX-Portfolio aufnehmen können. 

Darüber hinaus lernen Sie, wie Sie nach Einstiegspositionen im Bereich UX-Design suchen, einen Lebenslauf erstellen, der Ihre Fähigkeiten und Leistungen hervorhebt, und Ihre professionelle Portfolio-Website aufbauen. 

Der Kurs wird von aktuell bei Google tätigen UX-Designschaffenden und UX-Forschenden geleitet. Bei praktischen Aktivitäten werden Sie reale UX-Designszenarien simulieren. Lernende, die die sieben Kurse dieses Zertifikatsprogramms absolvieren, können sich auf Einstiegspositionen im Bereich UX-Design bewerben. 

Nach Abschluss dieses Kurses können Sie:
 - Alle Schritte des UX-Designprozesses durchführen (Empathie aufbauen, Fokus definieren, Ideen entwickeln, Prototypen erstellen, Konzepte testen), um eine responsive Website zu erstellen
   - Designs mit dem beliebten Design-Tool Adobe XD entwickeln
   - Eine Informationsarchitektur planen und Sitemaps für Website-Designs erstellen 
   - Gängige Layouts für Webseiten umsetzen 
   - Usability-Studien planen und durchführen, um Feedback zu Ihren Designs einzuholen 
   - Designs basierend auf Forschungserkenntnissen iterieren 
   - Mit Designsystemen in Adobe XD arbeiten
   - Ihrem professionellen UX-Portfolio ein neues Designprojekt hinzufügen 
   - [Optional] Einen UX-fokussierten Lebenslauf erstellen oder aktualisieren 
   - [Optional] Erfahren, wie Sie nach Einstiegspositionen im Bereich UX suchen und sich darauf bewerben

Dieser Kurs ist für UX-Designschaffende auf Anfängerniveau geeignet, die die vorherigen fünf Kurse des Google UX Design Certificate abgeschlossen haben. Alternativ müssen Lernende ein solides grundlegendes Verständnis von Designprozessen haben, Erfahrungen in der Erstellung von Wireframes, Modellen und Prototypen sowie Wissen zur Durchführung von Usability-Studien mitbringen. Es sind keine Vorkenntnisse in Adobe XD erforderlich.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,Dynamische Benutzeroberflächen für Websites erstellen,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/04/50876ae23c49f697ebf1e58fe37089/certs_squareresize2.png,"[""de""]","[""Q69erTgjEeygcBLCZu413w"", ""dlfLXK10Ee2l2hKRLdW81Q""]",responsives-webdesign-in-adobe-xd,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",J_XrhhPMEfGTgQr_yxD4Aw,v2.ondemand,"Dieser Kurs richtet sich an Anwendungsentwicklerinnen und ‑entwickler und DevOps Engineers, die mit der Gemini CLI, einem generativen, von Gemini unterstützten KI-Agenten für Terminals, intelligenter arbeiten möchten.

In diesem Kurs werden die Installation und Konfiguration der Gemini CLI behandelt sowie Anwendungsfälle und bewährte Sicherheitsverfahren vorgestellt. Es werden Befehle, Tools, Model-Context-Protocol-Server (MCP) und Erweiterungen erklärt. Anhand einer praktischen Übung installieren und konfigurieren Sie die Gemini CLI und verwenden sie zur Codeanalyse sowie zum Erstellen und Bearbeiten einer Anwendung.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,App-Entwicklung mit der Gemini CLI beschleunigen,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1b/67e0461a044f5b93c375bc2a7e694c/Logo-Image_GC-Projects.png,"[""de""]",[],accelerate-app-development-with-gemini-cli-de,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert"", ""Specialization""]",bih2xPPzEeuFqA67ilcVzQ,v2.ondemand,"Dies ist der dritte Kurs des Google Project Management Certificate-Programms. In diesem Kurs wird untersucht, wie ein Projekt in der zweiten Phase des Projektlebenszyklus – der Projektplanungsphase – skizziert wird. Sie untersuchen die Hauptkomponenten eines Projektplans und erfahren, wie Sie genaue Zeitschätzungen vornehmen und Meilensteine festlegen. Als Nächstes erfahren Sie, wie Sie ein Budget erstellen und verwalten und wie die Beschaffungsprozesse funktionieren. Anschließend lernen Sie Tools kennen, mit denen Sie verschiedene Arten von Risiken identifizieren und verwalten können, und erfahren, wie Sie mit einem Risikomanagementplan Risiken kommunizieren und lösen. Schließlich erfahren Sie, wie Sie einen Kommunikationsplan entwerfen und verwalten und die Projektdokumentation verwalten. Derzeitige Projektmanagende bei Google werden Ihnen weiterhin praktische Ansätze zur Ausführung dieser Aufgaben aufzeigen und Ihnen gleichzeitig die besten Projektmanagement-Tools und -Ressourcen für den jeweiligen Job vorstellen.

Lernende, die dieses Programm abschließen, können sich auf Einstiegspositionen im Projektmanagement bewerben. Es sind keine Vorkenntnisse erforderlich.

Nach Abschluss dieses Kurses können Sie: 
 - die Bestandteile der Planungsphase eines Projekts und ihre Bedeutung beschreiben;
 - erklären, warum Meilensteine wichtig sind und wie sie festgelegt werden; 
 - erfahren, wie Sie genaue Zeitschätzungen vornehmen können, und Techniken beschreiben, wie Sie diese von Teammitgliedern erhalten;  
 - Tools und Best Practices zum Erstellen eines Projektplans und Risikomanagementplans identifizieren; 
 - beschreiben, wie ein Budget veranschlagt, überwacht und gepflegt wird;
 - den Beschaffungsprozess und die wichtigsten Beschaffungsdokumente erklären und identifizieren; 
 - einen einfachen Kommunikationsplan entwerfen und erklären, wie er verwaltet wird;
 - erklären, warum Meilensteine wichtig sind und wie sie festgelegt werden; 
 - erklären, warum ein Projektplan notwendig ist und welche Komponenten er enthält; 
 - erfahren, wie Sie genaue Zeitschätzungen vornehmen können, und Techniken beschreiben, wie Sie diese von Teammitgliedern erhalten;","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,Projektplanung: Das Gesamtbild,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/75/0f6327601d444da1545fc560bc5ac4/1200x600_certsResize_2.png,"[""de""]","[""GHJWlDgjEeygcBLCZu413w"", ""Si0HsK10Ee2ACwpBiZpBew""]",projektplanung-das-gesamtbild,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",0uzph6MfEe-M0A6J7VObuQ,v2.ondemand,"Neste curso, vamos conhecer o Gemini no BigQuery, um pacote de recursos com tecnologia de IA que auxilia no fluxo de trabalho de dados para inteligência artificial. Esses recursos incluem preparação e análise detalhada de dados, solução de problemas e geração de código, além da descoberta e visualização do fluxo de trabalho. Com explicações conceituais, um caso de uso prático e o laboratório, o curso ensina aos profissionais de dados como aumentar a produtividade e acelerar o pipeline de desenvolvimento.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Boost Productivity with Gemini in BigQuery - Português,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/64/8b92137e6b4be783704afa2fa1c420/Logo-Image_GC-Projects-1-.png,"[""de""]",[],boost-productivity-with-gemini-in-bigquery-ptbr,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",Z6IWxHxbEfGgEw7fLmsQhQ,v2.ondemand,"Viele traditionelle Unternehmen verwenden ältere Systeme und Apps, die nicht mit den modernen Kundenerwartungen Schritt halten können. Führungskräfte müssen sich oft entscheiden, ob sie ihre veralteten IT-Systeme weiter betreiben oder in neue Produkte und Dienste investieren. In diesem Kurs werden diese Herausforderungen untersucht und Lösungen für ihre Bewältigung mithilfe von Cloud-Technologie angeboten.

Dieser Kurs ist Teil des Lernpfads „Cloud Digital Leader“ und soll Einzelpersonen dabei helfen, sich in ihrer Rolle weiterzuentwickeln und die Zukunft ihres Unternehmens mitzugestalten.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Infrastruktur und Anwendungen mit Google Cloud modernisieren,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/99/beaab6d8cd49629d8164bdd3cb2963/GFX_Coursera_Asset_Full_1200x1200.png,"[""de""]",[],infrastruktur-und-anwendungen-mit-google-cloud-modernisieren-de,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",_PB4QUUHEe-x5xJ_u_9vrQ,v2.ondemand,"In diesem Einführungskurs im Microlearning-Format wird erklärt, was verantwortungsbewusste Anwendung von KI bedeutet, warum sie wichtig ist und wie Google dies in seinen Produkten berücksichtigt. Darüber hinaus werden die 7 KI-Grundsätze von Google behandelt.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Introduction to Responsible AI - Deutsch,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4a/7ded3dac2e4291b1c94788ea3fb860/Logo-Image_GC-Projects-1-.png,"[""de""]",[],introduction-to-responsible-ai---deutsch,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",ftbQzuNpEeqzHRIG_5eHaQ,v2.ondemand,"Die Verwendung von Excel ist in der Branche weit verbreitet. Es ist ein sehr leistungsfähiges Datenanalysetool und fast alle großen und kleinen Unternehmen verwenden Excel für ihre tägliche Arbeit. Dies ist ein Einführungskurs in die Verwendung von Excel, der Ihnen Kenntnisse in Excel vermitteln soll, um es später für weiterführende Themen in der Unternehmensstatistik verwenden zu können. Der Kurs ist so konzipiert, dass zwei Arten von Teilnehmern berücksichtigt werden – diejenigen, die nur sehr geringe funktionale Kenntnisse in Excel haben und diejenigen, die Excel regelmäßig, aber auf peripherer Ebene verwenden und ihre Fähigkeiten verbessern möchten. Der Kurs führt Sie von grundlegenden Vorgängen wie dem Einlesen von Daten in Excel mithilfe verschiedener Datenformate und dem Organisieren und Bearbeiten von Daten bis hin zu einigen der erweiterten Funktionen von Excel. Während der gesamten Zeit wird die Excel-Funktionalität anhand leicht verständlicher Beispiele vorgestellt, die so demonstriert werden, dass die Teilnehmer sie besser verstehen und anwenden können.

Um Kursaufgaben erfolgreich abzuschließen, müssen die Teilnehmer Zugriff auf eine Windows-Version von Microsoft Excel 2010 oder höher haben. 
________________________________________
WOCHE 1
Modul 1: Einführung in die Tabellenkalkulation
Dieses Modul bietet eine Einführung in die Excel-Tabellenkalkulation und die verschiedenen grundlegenden Datenfunktionen von Excel.

Zu den behandelten Themen gehören:
•	Einlesen von Daten in Excel in verschiedenen Formaten
•	Grundfunktionen in Excel, Arithmetik sowie verschiedene logische Funktionen
•	Formatieren von Zeilen und Spalten
•	Verwenden von Formeln in Excel und diese unter Verwendung absoluter und relativer Referenzierung kopieren und einfügen
________________________________________
WOCHE 2
Modul 2: Tabellenkalkulationsfunktionen zum Organisieren von Daten
Dieses Modul führt verschiedene Excel-Funktionen zum Organisieren und Abfragen von Daten ein. Die Teilnehmer werden in die Funktionen WENN, Verschachteltes WENN, SVERWEIS und WVERWEIS von Excel eingeführt. 

Zu den behandelten Themen gehören:
•	WENN und geschachtelte WENN-Funktionen
•	SVERWEIS und WVERWEIS
•	Die ZUFALLSBEREICH-Funktion
________________________________________
Woche 3
Modul 3: Einführung in Filterung, Pivottabellen und Diagramme
Dieses Modul führt verschiedene Datenfilterfunktionen von Excel ein. Sie lernen, wie Sie Filter in Daten festlegen, um selektiv auf Daten zuzugreifen. Ein sehr leistungsfähiges Tool zum Zusammenfassen von Daten, die Pivottabelle, wird ebenfalls erläutert, und wir beginnen mit der Einführung der Diagrammfunktion von Excel.

Zu den behandelten Themen gehören:
•	SVERWEIS über Arbeitsblätter hinweg
•	Datenfilterung in Excel
•	Verwendung von Pivottabellen mit kategorialen sowie numerischen Daten
•	Einführung in die Diagrammfunktion von Excel
________________________________________
WOCHE 4
Modul 4: Erweiterte grafische Darstellung und Diagrammerstellung
In diesem Modul werden verschiedene erweiterte Grafik- und Diagrammtechniken erläutert, die in Excel verfügbar sind. Ausgehend von verschiedenen Linien-, Balken- und Kreisdiagrammen führen wir Pivotdiagramme, Streudiagramme und Histogramme ein. Sie werden lernen, diese verschiedenen Diagramme zu verstehen und selbst zu erstellen.

Zu den behandelten Themen gehören:
•	Linien-, Balken- und Kreisdiagramme
•	Pivotdiagramme
•	Streudiagramme
•	Histogramme","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""15494044""]","[""Sharad Borle""]",,Einführung in die Datenanalyse mit Excel,"[""13""]",http://coursera-university-assets.s3.amazonaws.com/f5/f983fc330847ecae8a5b6f93162c1b/Rice-Logo_Updated_Cropped_200x48.png,"[""Rice University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/60/d819005f0c11e6bc2b7945d34f43c3/ChartsGraphsTabletThumb.jpg,"[""de""]",[],excel-data-analysis-de,[],"4 Wochen Kurs, 1-3 Stunden/Woche",sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",s0zrAjjjEfGQOAr_8Q2sfw,v2.ondemand,"""Willkommen zum Kurs „KI-Infrastruktur: Netzwerktechniken“. 
In diesem Kurs lernen Sie, die Infrastruktur von Google Cloud mit hoher Bandbreite und geringer Latenz zu nutzen, um die Datenübermittlung und die Kommunikation zwischen allen Komponenten Ihres KI-Systems zu optimieren. Am Ende sind Sie in der Lage, die wichtige Rolle von Netzwerken in der gesamten KI-Pipeline – von der Datenaufnahme über das Training bis hin zur Inferenz – zu verstehen und Best Practices anzuwenden, um dafür zu sorgen, dass Ihre Workloads mit maximaler Geschwindigkeit ausgeführt werden.""","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",INTERMEDIATE,KI‑Infrastruktur: Netzwerktechniken,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5a/4c73587bb94c1da0b6a4f70b7da630/GFX_Coursera_Asset_Full_1200x1200.png,"[""de""]",[],ai-infrastructure-networking-techniques-de,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",mjgFz-NrEeqzHRIG_5eHaQ,v2.ondemand,"Dieser Kurs hilft Ihnen dabei, das Projektrisiko effektiv zu managen, indem Sie unvermeidliche Änderungen des Projektumfangs und der Projektziele ermitteln, analysieren und kommunizieren. Sie werden die Elemente verstehen und üben, die zur Bemessung und Berichterstattung von Projektumfang, Zeitplan und Preis-Leistung erforderlich sind. Sie werden mit den Werkzeugen ausgestattet, mit denen Sie Änderungen für Ihr Team und andere Stakeholder des Projekts möglichst reibungslos managen können.

Nach Abschluss dieses Kurses werden Sie in der Lage sein:
1.       die Komponenten eines Kommunikationsmanagementplans zu definieren
2.       die Bedeutung von Kommunikationskanälen zu verstehen
3.       die Schlüsselelemente zu definieren, die zur Bemessung und Berichterstattung von Projektumfang, 
          Zeitplan und Preis-Leistung erforderlich sind
4.       Ereignisse mit Projektrisiko zu ermitteln
5.       ermittelte Risiken zu priorisieren
6.       Reaktionen auf ein hochpriorisiertes Risiko zu entwickeln
7.       Änderungen des Projektumfangs zu ermitteln und zu analysieren
8.       Ursachen und Wirkungen von Projektänderungen zu beschreiben
9.       den Zweck der Durchführung einer Lessons-Learned-Session (Sitzung zur Zusammenfassung der 
          Schlussfolgerungen) zu definieren","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""29346301""]","[""Margaret  Meloni,  MBA, PMP""]",,Projektrisiken und -änderungen managen,"[""30""]",https://d15cw65ipctsrr.cloudfront.net/b0/7884f0f97f11e683006f4d784414a5/DCE-1200x1200.png,"[""University of California, Irvine""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d8/63d0d04a6511e4878ac30d64681fd7/4_RiskChange_Coursera.jpg,"[""de""]",[],project-risk-management-de,[],"4-wöchiges Studium, 2-3 Stunden / Woche",sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert"", ""Specialization""]",KepsCiyZEeykCg4HPggu6Q,v2.ondemand,"Dies ist der siebte Kurs im Google Data Analytics Certificate. In diesen Kursen lernen Sie alles, was Sie für eine Einstiegsposition in der Datenanalyse benötigen. In diesem Kurs lernen Sie die Programmiersprache R kennen. Sie erfahren, wie Sie RStudio verwenden, und lernen die Umgebung kennen, in der Sie mit R arbeiten können. In diesem Kurs werden auch die speziellen Softwareanwendungen und Tools von R behandelt, wie z. B. R-Pakete. Sie erfahren, wie Sie mit R Daten auf neue und leistungsfähigere Weisen bereinigen, organisieren, analysieren, visualisieren und Berichte über sie erstellen können.  Bei Google tätige Fachleute für die Datenanalyse werden Sie weiterhin anleiten und Ihnen praktische Möglichkeiten zeigen, wie Sie häufige Datenanalyseaufgaben mithilfe der besten Tools und Ressourcen erledigen können.

Nach Abschluss dieses Zertifikatsprogramms sind Lernende bestens gerüstet, um sich auf Einstiegspositionen in der Datenanalyse zu bewerben. Es sind keine Vorkenntnisse erforderlich.

Im Verlauf dieses Kurses werden Sie:
 - die Vorteile der Verwendung der Programmiersprache R untersuchen
 - erfahren, wie Sie RStudio verwenden, um R auf Ihre Analysen anzuwenden 
 - die grundlegenden Konzepte untersuchen, die mit der Programmierung in R verbunden sind 
 - den Inhalt und die Komponenten von R-Paketen kennenlernen, einschließlich des Tidyverse-Pakets
 - ein Verständnis von Dataframes und deren Verwendung in R erlangen
 - die Möglichkeiten zum Generieren von Visualisierungen in R entdecken
 - R Markdown zum Dokumentieren der R-Programmierung kennenlernen","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,R-Programmierung zur Datenanalyse,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/39/68a3bee12d490393d72489c99bee0b/DA7-Data-Analysis-with-R-Programing.png,"[""de""]","[""3rZfdTgiEeylXgqHwJpmyQ"", ""uBAXY61zEe2CaA51QM4Lfw""]",r-programmierung-zur-datenanalyse,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",j1DSe32LEfCCSg698sr4dw,v2.ondemand,"Gemini für Google Workspace ermöglicht Kunden den Zugriff auf generative KI-Funktionen in Google Workspace. Dieser Mini-Kurs vermittelt Ihnen die wichtigsten Gemini-Funktionen. Sie erfahren, wie Sie diese Funktionen in Gmail einsetzen können, um produktiver und effizienter zu arbeiten.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",BEGINNER,Gemini in Gmail - Deutsch,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7d/e676c7a5ae406a813548c3354f62c2/Logo-Image_GC-Projects-1-.png,"[""de""]",[],gemini-in-gmail-deutsch,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert"", ""Specialization""]",TSKfSPPvEeuFqA67ilcVzQ,v2.ondemand,"Dies ist der vierte Kurs im Google Data Analytics Certificate. In diesen Kursen lernen Sie alles, was Sie für eine Einstiegsposition in der Datenanalyse benötigen. In diesem Kurs bauen Sie Ihr Verständnis für Data Analytics und die Konzepte und Tools aus, die Fachkräfte für Datenanalyse bei ihrer Arbeit verwenden. Sie erfahren, wie Sie Ihre Daten mithilfe von Tabellenkalkulationen und SQL überprüfen und bereinigen und wie Sie die Ergebnisse der Datenbereinigung verifizieren und einen Bericht dazu erstellen können. Bei Google tätige Fachleute für Datenanalyse werden Sie weiterhin anleiten und Ihnen praktische Möglichkeiten zeigen, mit denen Sie übliche Aufgaben von Fachleuten für Datenanalyse mithilfe der besten Tools und Ressourcen erledigen können.

Nach Abschluss dieses Zertifikatsprogramms sind Lernende gerüstet, um sich auf Einstiegspositionen in der Datenanalyse zu bewerben. Es sind keine Vorkenntnisse erforderlich.

Nach Abschluss dieses Kurses können Sie Folgendes:
 - Lernen, die Datenintegrität zu überprüfen
 - Datenbereinigungstechniken mit Tabellenkalkulationen entdecken 
 - Grundlegende SQL-Abfragen zur Verwendung mit Datenbanken entwickeln
 - Grundlegende SQL-Funktionen zum Transformieren von Datenvariablen anwenden
 - Eine Vorstellung entwickeln, wie die Ergebnisse von Datenbereinigungen verifiziert werden
 - Die Elemente und die Bedeutung von Berichten zur Datenbereinigung erörtern","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,Daten bereinigen,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/13/c36a08ec204ca6874eb584ba2ece35/DA4-Process-Data-from-Dirty-to-Clean.png,"[""de""]","[""3rZfdTgiEeylXgqHwJpmyQ"", ""uBAXY61zEe2CaA51QM4Lfw""]",daten-bereinigen,[],,sVLzVAfgkOD88JBzE,rOBveJ1mJbNf8y5xC
[],"[""VerifiedCert""]",dXCvfA75EfC_-w572D3gsw,v2.ondemand,"To harvest the enormous potential of ground-breaking research in the field of biotechnology, large amounts of financing are needed. From the first lab results to a commercially viable product, many years go by, and much money is burned. Thus, financing is the key to making biotechnology innovations accessible to everyone.

By the end of this course, you will have the confidence to talk to and convince investors to fund your endeavor. To do so, the course offers an introduction to financing and discusses the different motivations of those involved in financing. It will also enable you to evaluate different sources of financing. Moreover, it will establish an understanding of the challenges faced during the fundraising process, such as valuing a company, the legal aspects of an investment contract, or pitching your company to investors. Thereby, it will provide you with the confidence of managing the fundraising process and communicating your project effectively to any type of financial backer.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""5966742""]","[""Dr. Svenja Jarchow ""]",INTERMEDIATE,Financing  Biotech Innovation,"[""78""]",http://coursera-university-assets.s3.amazonaws.com/60/fd7a1033e14e8fa9a63310809697f6/TUM_Logo_Coursera.png,"[""Technical University of Munich (TUM)""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/44/e4783ad7e74ef1a9f2d51b4558214d/Course_Image.jpeg,"[""en""]",[],financing-biotech-innovation,[],3-4 hours per week for 6 weeks,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",NimPRwEvEfG3dhKVcvpa7w,v2.ondemand,"Smart Decision Matrix is a practical course designed for intermediate to advanced sales professionals who need to make confident, well-justified pricing and solution recommendations. Across focused lessons, learners explore how multi-criteria decision matrices help structure complex decisions by introducing shared evaluation criteria such as cost, return on investment, and implementation time.

The course begins by building conceptual understanding of how decision matrices improve alignment across sales, finance, and operations. Learners then move into applied practice, constructing a weighted matrix to compare two pricing packages and identify the preferred option. Through guided coaching, hands-on learning, and real-world scenarios, participants develop the ability to summarize key decision factors, weigh tradeoffs, and clearly explain their recommendations. By the end of the course, learners are equipped with a repeatable decision-making framework they can apply directly in sales negotiations and closing conversations.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""200011885""]","[""ansrsource instructors""]",INTERMEDIATE,Smart Decision Matrix,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/21/766ae8236f48d4b1fa49a17fb611e1/Lynne-MacBain_1.png,"[""en""]","[""CO1oUOqRQWarYwUXZzc2pg""]",smart-decision-matrix,[],,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",rD4Ylc6IEfC_oA79Ql6_Uw,v2.ondemand,"Financial analysts spend hours manually reformatting data feeds—time that could be spent on analysis. This intermediate course teaches you to recognize data structures and automate transformations using Power Query, turning repetitive cleanup into one-click refreshes. You'll start by classifying structured, semi-structured, and unstructured data across typical financial sources—understanding how each format affects accuracy, governance, and reporting workflows. Then you'll master Power Query to import JSON feeds, flatten nested hierarchies, and create automated refresh pipelines that keep dashboards current without manual intervention. Through short videos, practical readings, and hands-on labs, you'll connect data concepts to daily analyst work—from explaining structure types in governance meetings to building repeatable transformation workflows. Real-world examples from firms like PwC and EY show how data literacy and automation drive accuracy, efficiency, and compliance. By the end, you'll transform messy JSON into clean tables, automate refresh workflows, and build the foundation for reliable, efficient financial reporting that scales.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""200011885""]","[""ansrsource instructors""]",INTERMEDIATE,Transform Financial Data: Recall & Import,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c2/c7507d5b3642deb1deb27c151ea8d0/Gorans.jpg,"[""en""]","[""rVsfZj4TTRa7Jq1R1jbgxA""]",transform-financial-data-recall--import,[],,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",VxHWlffqEfCFRg7t6P8RhQ,v2.ondemand,"Learn the fundamentals of corporate taxation in the United States and how tax rules influence business decisions and compliance. In this course, you’ll explore how federal tax laws are structured and enforced, focusing on the Internal Revenue Code, Treasury Regulations, and the hierarchy of tax guidance used by accountants and tax professionals.

You’ll examine how corporate taxation applies to different business structures, including C corporations and S corporations, and review how these entities report financial activity for tax purposes. The course introduces key components of corporate tax compliance, including Forms 1120 and 1120-S, and explains how businesses report income, expenses, depreciation, compensation, and gross receipts.

Throughout the course, you’ll analyze practical scenarios that show how tax guidance affects real business decisions. By the end, you’ll understand how corporate tax rules shape compliance, reporting, and planning strategies used by businesses and their advisors. This course is designed for learners seeking a practical introduction to corporate taxation and provides foundational knowledge useful for accounting, tax, and finance careers.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""194116255""]","[""William Karalius""]",INTERMEDIATE,Taxation Concepts,"[""3908""]",http://coursera-university-assets.s3.amazonaws.com/ea/5071a25ee84109ad3b8cedbf3a7e36/UCSB_200x48.png,"[""University of California, Santa Barbara""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b7/c27a598d31466e8afbd601642456c7/cropped_1080x1080-2-.png,"[""en""]","[""W8eFsd1xT6KpXAAqbnmjlQ""]",taxation-concepts,[],,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert""]",waqd4rxZEe-LvhIuPUA7nw,v2.ondemand,"The courseware is designed to equip participants with a profound understanding of Inventory Management. Tally is a revolutionary product which has been created with the objectives of Simplify the Simplest, Greater Flexibility and New Look and Feel, and our course also describes the same. Inventory Management provides a thorough understanding of key concepts and practices essential for effective control and optimization of inventory within organizational settings. The course is designed to equip participants with the knowledge and skills necessary to implement efficient inventory management strategies, ensuring smooth operations and cost-effectiveness.

The course covers key topics such as -
-The fundamental concepts of storage and classification of inventory for streamlined management.
-The significance of purchase and sales order management processes in inventory control.
-Techniques to track additional costs of purchase and integrate them into inventory systems.
-Insights into the manufacturing process, including its impact on inventory and job work management.
-Proficiency in job costing to accurately assess and allocate costs.
-Understanding and utilizing inventory reports to analyze and enhance business operations.

This course is suitable for individuals aspiring to pursue careers in inventory management, operations, or accounting. It is also ideal for business professionals seeking to enhance their skills in inventory control and optimization using Tally. Additionally, business owners and managers responsible for overseeing inventory processes within their organizations will benefit from this course. Students or graduates looking for practical knowledge in inventory management through Tally software are encouraged to enroll.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""115821884""]","[""Tally Education and Distribution Services Private Limited ""]",INTERMEDIATE,Inventory Management,"[""1144""]",http://coursera-university-assets.s3.amazonaws.com/c0/8ee713b2004aa09388ff61471938d7/200px-x-48px.png,"[""Tally Education and Distribution Services Private Limited""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0c/0d956f23434f818ebaa835fccfc2f1/Inventory-Management---first-image.jpg,"[""en""]",[],inventory-management-in-tally,[],12 hours,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert""]",NDBJAUWDEeWbNhIvIryYow,v2.ondemand,"Have you ever wanted to invest in financial markets, but were always afraid that you didn’t have the proper tools or knowledge to make informed decisions? Have you ever wondered how investment management companies operate and what fund managers do? AXA Investment Managers, in partnership with HEC Paris, will introduce you to the most important ideas and concepts in investment management, to help you better understand your financial future.

This course will enable you to:
•	Define what type of investor you are, your investment objectives, and potential constraints. 
•	Identify the main investable assets and important players in financial markets. 
•	Understand basic portfolio management techniques. 
•	Apply these techniques in real case studies from the outset, through practical assessments. 

Finally, we will provide a comprehensive overview of today's asset management industry: the product cycles, professionals, and regulations. For those who want to identify a talented fund manager to invest for you, we offer important criteria for selecting one. For those who are interested in learning more about this fascinating industry, we lay the foundation for your ongoing financial journey. Join us now to explore the world of investment management! 

Course Specialists
The course has been developed in collaboration between HEC Paris, with Hugues Langlois managing the academic aspect, and AXA Investment Managers specialists, sharing their experiences and expertise and coordinated by Marion Le Morhedec. AXA Investment Managers participants include Maxime Alimi, Stephanie Condra, Nicholas Jeans, Elodie Laugel, Pierre-François de Mont-Serrat, Jean-Gabriel Pierre (AXA Group), Dorothée Sauloup, Irina Topa-Serry, Fiona Southall, Patrice Viot Coster, Susanna Warner, and Joachim Weitgasser.

Recommended Background
We expect most participants to have a basic level of knowledge in mathematics and economics. However this is not essential, and we believe that people from any background can succeed with commitment and a strong interest.
Be aware that in the case study, you will have to use Excel.

Course Format 
This course will run for 4 weeks and consists of 4 modules, each with a series of lecture videos between 5 to 8 minutes long. Each module contains a set of practice and graded quiz questions. A complete portfolio management exercise covers concepts learned in all modules

Language
The course is in English, with Spanish, Italian, German, French, and Chinese (Simplified) subtitles.

The Project
The preparation of this MOOC has been an exciting adventure for many professionals at AXA Investment Managers and HEC, both for the speakers and a wealth of contributors. Thank you to all of them.
We hope you enjoy this course as much as we enjoyed creating it!","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""16627281"", ""11676404""]","[""Hugues Langlois"", ""Marion Le Morhedec""]",INTERMEDIATE,Investment Management in an Evolving and Volatile World by HEC Paris and AXA Investment Managers,"[""161""]",https://coursera-university-assets.s3.amazonaws.com/40/f9e55194c1da3d8a59277c7f58b7fc/HEC-Coursera-logoRectangle200x48.png,"[""HEC Paris""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7d/af9a80b9f311e596ddffa17da4aea1/06_1_mooc_1200x1200.jpg,"[""en""]",[],investment-management,[],"4 weeks of study, 2-3 hours/week",6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",9V8zteexEfCEtA75x5Rx3w,v2.ondemand,"Analyze Cases, Evaluate Models, Finance is an intermediate-to-advanced course for financial professionals who need to move beyond model creation to master the critical art of model auditing. In a world where a single flawed assumption can cost millions, this course equips you with a systematic framework to ensure financial models are accurate, defensible, and reliable.

Across three modules, you'll first deconstruct cases like WeWorks to pinpoint the red flags and flawed assumptions behind valuation disasters. Then, you'll get hands-on with a professional QA checklist, learning to audit a model’s structural integrity and logical consistency. Finally, you will synthesize these skills by performing a complete model revision and using data storytelling to present your findings persuasively. You'll prove your mastery in a final project, delivering a full critique and revision of a flawed retail-chain model to a professional standard.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""199677978""]","[""LearningMate""]",INTERMEDIATE,Analyze Cases & Evaluate Models in Finance,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/09/97a02f366340238f837f08e3cf922f/CON-02640_img_courselogo.png,"[""en""]","[""VYsfIqcEQ2eigwsVDncX5Q""]",analyze-cases-evaluate-models-finance,[],178 minutes,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",FEMF8vfqEfCkURJ26JwNHQ,v2.ondemand,"By the end of this course, you’ll be able to identify and apply the core regulatory and professional standards that govern modern auditing and assurance engagements. You’ll evaluate auditor responsibilities under the AICPA Code of Professional Conduct, understand independence and integrity requirements, and distinguish between standards issued by the PCAOB, IAASB, and the Institute of Internal Auditors.

This course explores the regulatory framework that shapes audit practice in both U.S. and international contexts. You’ll examine the impact of the Sarbanes-Oxley Act, the role of the Public Company Accounting Oversight Board, the structure of International Standards on Auditing, and the evolution of internal audit standards under the IIA framework.

What makes this course unique is its integrated, cross-framework approach. Rather than studying standards in isolation, you’ll compare how they interact across public company audits, private engagements, internal audit functions, and multinational contexts. By the end, you’ll have a clear, structured understanding of how audit oversight bodies and professional standards collectively safeguard financial reporting integrity in global capital markets.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""194116255""]","[""William Karalius""]",INTERMEDIATE,Assurance Guidance and Standards,"[""3908""]",http://coursera-university-assets.s3.amazonaws.com/ea/5071a25ee84109ad3b8cedbf3a7e36/UCSB_200x48.png,"[""University of California, Santa Barbara""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9f/5a4fdbaed8475496a36f0e459b210b/cropped_1080x1080.png,"[""en""]","[""4WNz0ZyQSZa5k3e2tyKV-w""]",assurance-guidance-and-standards,[],,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",CIp_cdsMEfC1UxIkq1JqIw,v2.ondemand,"Financial forecasting depends on more than projecting numbers—it requires knowing how to read the economic signals that influence them. This intermediate-level course introduces you to the indicators and market dynamics that shape business performance. You’ll begin by examining how movements in interest-rate curves influence borrowing costs and future interest-expense assumptions. From there, you’ll work with leading indicators such as PMI, CPI, and consumer-confidence measures to understand how demand may be changing before it shows up in company results.

The course combines short videos, focused readings, and hands-on exercises that let you practice turning market data into concrete forecasting insights. By the end, you’ll be equipped to explain how broader economic trends affect revenue, margins, and financial planning—skills that help analysts, planners, and decision-makers build forecasts that are credible, grounded, and ready for real-world use.","[{""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""200011885""]","[""ansrsource instructors""]",INTERMEDIATE,Analyze Economic Signals for Financial Success,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/18/d34281a134404785ae2185976b4d32/Michael-Rojas.jpg,"[""en""]","[""ru8vX0ToQCCtnkW6osN4LQ""]",analyze-economic-signals-for-financial-success,[],,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",jJjnx1c7EeuMkArab-7zbw,v2.ondemand,"While investing and trading in the options market may seem somewhat more daunting than other asset classes such as stocks, bonds, exchange-traded funds, currencies and commodities, you’ll ultimately find that their complexity can be boiled down to simple concepts you’ll be able to understand and use the more you’re exposed to, and have hands-on experience with the material.   Our aim is for you to acquire these skills, as well as the know-how, to invest and trade in these often-complex financial instruments. 

We'll explore the mechanics of futures market, where we’ll introduce you to some of the risks faced by investors in the futures market, how certain of those risks are mitigated, as well as the difference between spot and forward prices, and contango and backwardation. We’ll also provide you with other insights about the mechanics of trading futures, including the roles of commoditized contracts, as well as margin requirements.

Students may also further their involvement with this material by opening a free demo Trader Workstation Paper Trading account, enabling them to enjoy a hands-on experience in a safe, simulated trading environment, while being fully immersed in the fundamentals that underpin the capital markets.

Options involve risk and are not suitable for all investors. For more information read the Characteristics and Risks of Standardized Options, also known as the options disclosure document (ODD). To receive a copy of the ODD call 312-542-6901 or copy and paste this link into your browser: 
http://www.optionsclearing.com/about/publications/character-risks.jsp

Multiple leg strategies, including spreads, will incur multiple commission charges.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""80147381"", ""79496870"", ""79493413"", ""66603323"", ""70299318""]","[""Jeff Praissman"", ""Lucas Deaver"", ""Andrew Wilkinson"", ""Mary MacNamara"", ""Steven Levine""]",INTERMEDIATE,Derivatives - Options & Futures,"[""716""]",http://coursera-university-assets.s3.amazonaws.com/9a/7bcc46f0b5496bb1c0bd34e2afde55/ib-logo-200x48.png,"[""Interactive Brokers""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a6/f7cdbb5dc7435bb59630e2a10daced/coursara-derivatives-800x800.jpg,"[""en""]","[""kb7LeVEXEeuiXA7mHjd41w""]",derivatives-options-futures,[],13 hours,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",e09tAdlxEfCZjQr_xpY2qQ,v2.ondemand,"Clear reporting builds trust, which in turn drives decisions. In this intermediate-level course, you’ll learn how to design and present financial reports that inform leadership and inspire confidence. You’ll start by recognizing the core components of a professional business report and understanding how each section—from executive summary to recommendations—guides decision-making. Then, you’ll apply presentation tools to transform data into clear visuals and concise narratives that highlight what matters most.

Through step-by-step videos, structured readings, and practical exercises, you’ll create templates, design charts, and assemble a polished draft deck ready for review. You’ll also practice reflecting on tone, clarity, and storytelling to strengthen communication impact. By the end, you’ll know how to combine structure, visuals, and narrative to deliver reports that are not only accurate but also actionable.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""200011885""]","[""ansrsource instructors""]",INTERMEDIATE,Present Compelling Financial Reports with Confidence,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5c/5214f004a44bb991186cd630a6582b/Shannon-Feuerhelm.jpg,"[""en""]","[""ru8vX0ToQCCtnkW6osN4LQ""]",present-compelling-financial-reports-with-confidence,[],,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert""]",n1CCQtguEeqfxApofKyclw,v2.ondemand,"In this 1-hour long project-based course, you will learn how to calculate the Weighted Average Cost of Capital, calculate capital invested, finance charge, and NOPAT, and use financial statements to calculate Economic Value Added. Economic Value Added is one of the most critical metrics in financial modeling and analysis and is used to measure the profitability of the projects and management performance.

Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions.

It is recommended to take the Introduction to Valuation with WACC and Analyzing Company's Performance using Ratios projects first.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""10043473""]","[""Bekhruzbek Ochilov, MCSI, PAGRC""]",INTERMEDIATE,Profit Analysis using Economic Value Added,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/15/8eb6e75d2b4939a21602e88990cbfe/pexels-pixabay-209224.jpg,"[""en""]",[],profit-analysis-economic-value-added,[],1 hour,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",7MIVklmJEfGkpw5aC8ZYDQ,v2.ondemand,"Develop practical expertise in Ratio Analysis and Valuation by applying industry-standard financial statement analysis techniques, forecasting methods, and business valuation frameworks used by financial analysts, investment professionals, and corporate finance teams. Throughout the course, you'll perform financial ratio analysis to evaluate profitability, liquidity, solvency, and operational efficiency using key metrics such as gross margin, return on equity (ROE), current ratio, debt-to-equity ratio, and asset turnover ratios. You'll also explore widely used valuation methods, including Discounted Cash Flow (DCF), market multiples, comparable company analysis, and precedent transactions to understand what is valuation and how businesses and investments are assessed.

Through hands-on Excel models, AI-assisted dashboards, and real-world case studies, you'll apply financial analysis using ratios to evaluate company performance, identify financial risks, and estimate enterprise value with confidence. The course covers advanced topics such as DuPont analysis, EBITDA quality, working capital management, weighted average cost of capital (WACC), terminal value estimation, and valuation benchmarking across industries. By the end of the course, you'll be able to confidently interpret financial statements, perform comprehensive ratio analysis and valuation, evaluate key valuation assumptions, and communicate data-driven investment insights using professional financial analysis tools.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""139904014"", ""141793623""]","[""Manish Gupta"", ""Starweaver""]",INTERMEDIATE,Ratio Analysis & Valuation Methods,"[""1510""]",http://coursera-university-assets.s3.amazonaws.com/1e/f13c265c4f4e93903e17d8c249e1a8/200-X-48.png,"[""STARWEAVER""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b3/89f0e953b84ffc9a5d2803bccad319/1200x1200px-_-Ratio-Analysis-Valuation-Methods.jpg,"[""en""]","[""AV4v7-EfSTSfAOZM2qJ8Pg""]",ratio-analysis--valuation-methods,[],4 Hours,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",7B3r8z8wEfGYQRKk26cg0w,v2.ondemand,"Apply valuation principles to complex corporate finance scenarios, including portfolio strategy, mergers and acquisitions, capital structure, and industry-specific challenges. Develop the ability to use valuation insights for strategic management and investor communication.

This course explores the strategic use of valuation in areas such as corporate portfolio management, decision-making processes, mergers and acquisitions, and divestitures. Learners will analyze capital structure decisions, shareholder payouts, and investor communications, as well as valuation challenges in emerging markets, high-growth companies, banks, and cyclical industries. The course concludes with advanced topics like flexibility valuation and real options, preparing learners to address diverse and dynamic financial environments.

The course integrates strategic frameworks with valuation analysis, using case-based discussions and scenario-driven content to illustrate real-world applications. Learners will deepen their understanding of how valuation informs corporate strategy and financial decision-making.

This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. Learners are encouraged to explore part 1 and 2 before taking on this course to complete the full Specialization.

From Valuation
Copyright © 1990, 1994, 2000, 2005, 2010, 2015, 2020 by McKinsey & Company. 
All rights reserved.
Used by arrangement with John Wiley & Sons, Inc.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""205323684""]","[""Wiley Skills Network""]",INTERMEDIATE,Strategic Applications of Valuation in Corporate Finance,"[""4357""]",http://coursera-university-assets.s3.amazonaws.com/be/8b133d3a37459386cbb52dc93d808d/Wiley_Wordmark_black_RGB.png,"[""John Wiley & Sons""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/66/835815a5bc4f33a9033557f494f167/9781806114030_-1_square.jpg,"[""en""]","[""-JiMgC0KTuS5zRh2zYpbkw""]",wiley-valuation-strategic-applications-of-valuation-in-corporate-finance,[],,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",ZOE-cdISEeyS9RLEXEFb1w,v2.ondemand,"This course describes the economic viability of an engineering project through the application of net present value, internal rate of return, and payback period analysis. The impacts of depreciation, taxes, inflation, and foreign exchange are addressed. The capital budgeting process is discussed, showing how companies make decisions to optimize their investment portfolio. Risk is mitigated through the application of quantitative techniques such as scenario analysis, sensitivity analysis, and real options analysis.

This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""25865418""]","[""Michael J. Readey, Ph.D.""]",INTERMEDIATE,Project Valuation and the Capital Budgeting Process,"[""71""]",http://coursera-university-assets.s3.amazonaws.com/e1/d25de6c2be4186a8884c35a4284184/Boulder-FL.png,"[""University of Colorado Boulder""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9e/2cae5480d141efa43398be3ecb431e/Finance-for-Tech-Mgrs-C2-Logo.png,"[""en""]","[""KgxTlghQEe2XixLSc1sKOQ""]",project-valuation-and-the-capital-budgeting-process,[],4-6 hours/week,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert""]",yJS7_DpeEeyZlQoNyXy15Q,v2.ondemand,"By the end of this project, you will learn how to use lookup reference, math and text functions in an Excel Spreadsheet by using a free version of Microsoft Office Excel.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""92868426""]","[""Summer Scaggs""]",INTERMEDIATE,How to Use Lookup Reference Math and Text Functions in Excel,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/04/fcea8de4df43f0921d4f2e485a6f18/maxresdefault.jpg,"[""en""]",[],how-use-lookup-reference-math-text-functions-excel,[],1.5 hours,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert""]",S77L6vFpEe-lDA7RWcxbZw,v2.ondemand,"In this guided project, you'll master Tableau's interactive features to create dynamic financial dashboards. Using a real-world financial statements dataset, you'll learn how to design reports that allow for deeper data exploration and analysis. You will start with learning how to use parameters to switch between key metrics, like the income statement, balance sheet and cash flow. Next, you'll explore how to use filters to focus on specific financial information by year and statement item.

By the end of this project, you will be able to effectively use both parameters and filters to build fully interactive financial dashboards. You’ll have the skills to build professional-grade dashboards that drive data-driven decisions. This project is ideal for finance professionals, data analysts, or anyone looking to enhance their data visualization and reporting skills using Tableau. Learn to turn raw financial data into powerful, actionable insights.

Learners should have: 

• Basic knowledge of financial statements and business analysis (e.g., income statements, revenue, profit) 
• Tableau Desktop (or Tableau Public) installed and ready to use 
• A willingness to explore how dynamic parameters and filters enhance real-time financial analysis","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""162139894""]","[""Kareem Makki""]",INTERMEDIATE,Financial Reporting with Tableau: Parameters & Filters,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8f/80a8aa471f445697bc48b75a812843/ssyt-aadd-wkhtbr-twSyl-jhz-lshbk-ldhky-50-.png,"[""en""]",[],financial-reporting-with-tableau-parameters--filters,[],,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",2pJMM-erEfCNCQr_98rv0Q,v2.ondemand,"Analyze Budgets and Capital Structures Confidently is an intermediate course designed for financial analysts, accountants, and business managers aiming to sharpen their financial oversight and strategic decision-making skills. In today's volatile economic landscape, mastering the interplay between budget control and capital strategy is not just a best practice—it is essential for survival and growth. This course provides a hands-on toolkit to move beyond mere reporting and into the realm of true financial analysis.

You will learn to perform rigorous budget variance analysis to diagnose the root causes of cost issues and determine whether they stem from pricing pressures, operational inefficiencies, or shifts in business volume. You will then master the art of capital structure modeling in Excel, stress-testing financing scenarios to evaluate their impact on critical debt covenants and overall risk exposure. Grounded in real-world case studies such as the collapse of Carillion and Tesla's strategic financing, each module is designed to be immediately applicable. By the end of this course, you will not only be able to analyze complex financial data but also develop and defend compelling, data-driven recommendations for leadership.

For learners looking to further enhance their quantitative skills, this course is a perfect gateway to advanced topics in the Advanced Business Analytics and Financial Modeling and Forecasting specializations on Coursera.

Please note: A solid understanding of financial statements (Profit and Loss, Balance Sheet) and proficiency in spreadsheet software is required. No coding is necessary.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""199677978""]","[""LearningMate""]",INTERMEDIATE,Analyze Budgets and Capital Structures Confidently,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ef/b29e8a15004f2db357830738dff1bd/Financial-Data-Analysis-with-Excel.png,"[""en""]","[""4KiULDpMTT6oydZnleCQwA"", ""tOg9ZjvTRpmHi1fOTTVivQ""]",analyze-budgets--capital-structures-confidently,[],175 minutes,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",fQriPfA6EfCkURJ26JwNHQ,v2.ondemand,"Financial plans are only as strong as the assumptions behind them. In this hands-on course, learners build a multi-year P&L projection that connects top-down market forecasts with bottom-up sales and cost assumptions, and then stress-test the plan to evaluate resilience under pressure. By the end of the course, learners will confidently model revenue and expenses over three years, run downside scenarios, and propose margin-preserving actions—all core skills for analysts and managers in FP&A, strategy, or operations.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""200011885""]","[""ansrsource instructors""]",INTERMEDIATE,Optimize Deep Learning: Stabilize and Diagnose Models,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/19/e63a96a8cb4c6dbf519f240e3e3f1c/Satvika--1-1-.png,"[""en""]","[""1CdDR3qrTFWH7puiUnfb9g""]",optimize-deep-learning-stabilize-and-diagnose-models,[],,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert""]",TDFpf03IEfCqjwr_1EnQcQ,v2.ondemand,"Applied Financial Valuation: Analyze, Compare, and Interpret with Relative Valuation Techniques equips you with the practical knowledge needed to evaluate companies using widely accepted relative valuation methods. Through a structured progression, you will examine core valuation concepts, compare key financial multiples, and apply benchmarking techniques to assess companies against their peers.

The course covers essential valuation ratios, including Price-to-Earnings (P/E), Price-to-Book Value (PBV), Price-to-Sales (P/S), PEG, and Enterprise Value metrics. You will learn how to distinguish between equity value and enterprise value, perform Comparable Company Analysis (CCA), adjust financial statements to produce normalized valuation inputs, and organize company-specific valuation templates using financial data.

As you advance, you will interpret benchmarking outputs, integrate Discounted Cash Flow (DCF) results with relative valuation, and calculate capital metrics such as reinvestment rates to support well-informed valuation analysis. Scenario-based exercises and assessments reinforce each concept, helping you develop confidence in analyzing and interpreting valuation results.

This course is designed for learners who want to strengthen their financial valuation and comparative analysis skills through a structured, application-focused approach. By the end of the course, you will be able to analyze valuation multiples, compare companies using peer benchmarking, interpret valuation models, and communicate data-driven insights based on financial analysis.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""136048342""]","[""EDUCBA""]",INTERMEDIATE,Comprehensive Relative Valuation Training,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/64/c0a2d227744fc696cedc66207dde64/114.1.jpg,"[""en""]",[],comprehensive-relative-valuation-training,[],,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",HWxNcOexEfCxfAr_wdNH_Q,v2.ondemand,"Model and Analyze Project Finance Viability is an intermediate-level course designed for aspiring and current financial analysts, investment professionals, and business strategists who need to master the art and science of project finance. In today's capital-intensive landscape, a gut-feel approach to investment is not enough; you need to build and defend your decisions with data. This course will teach you how to construct a comprehensive, 20-year project finance model from the ground up to assess the long-term viability of large-scale projects.

You will move from a blank spreadsheet to a powerful decision-making tool, learning to model complex components like sculpted debt schedules and multi-tiered equity waterfalls. Through hands-on exercises and real-world case studies, you will master the use of scenario analysis to test a project's resilience against market volatility and interpret critical metrics like the Debt Service Coverage Ratio (DSCR). The course culminates in a realistic final project where you will triage a partially broken model, fix its core logic, and deliver a data-driven ""go/no-go"" recommendation to an investment committee. By the end, you'll not only know how to build a model but how to use it to make defensible, high-stakes investment decisions.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""199677978""]","[""LearningMate""]",INTERMEDIATE,Model and Analyze Project Finance Viability,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9d/aa881ec9fc4e9a8c9b67f188113cd7/CON-02771_img_courselogo.jpg,"[""en""]","[""4KiULDpMTT6oydZnleCQwA""]",model-and-analyze-project-finance-viability,[],180 minutes,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert""]",He_qXaSCEe6oQA6J-7B2nw,v2.ondemand,"This course is for those interested in starting a career in Financial Business Accounting. The course builds on the knowledge and skills gained in this professional certificate to dive deeper into concepts related to Business and MIS Reports. You will apply those concepts in scenarios using the TallyPrime software.The course includes several real-life business scenarios, charts, images, observations, solved illustrations, and practice scenarios on TallyPrime.
 
By the end of the course, you will be able to:
- Gain proficiency in Bills Payable and Receivable
- Understand and account the Advanced Banking Transactions
- Learn to manage Cost and Profit Centres
- Record the Accounting Vouchers using Foreign Currency
- Manage the Interest Calculation, and the production of Essential Financial Statements
- Understand the fundamentals of Goods and Services Tax (GST)","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""115821884""]","[""Tally Education and Distribution Services Private Limited ""]",INTERMEDIATE,Financial Business Accounting and MIS Reports ,"[""1144""]",http://coursera-university-assets.s3.amazonaws.com/c0/8ee713b2004aa09388ff61471938d7/200px-x-48px.png,"[""Tally Education and Distribution Services Private Limited""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/69/4fa54ccf7043ff9e957748b32e911b/TEPLandTally-logo_PNG.png,"[""en""]",[],financial-business-accounting-and-mis-reports,[],"4 weeks of study, 6 hours/week",6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert""]",4fZDfSy1Ee-d5A6qq5v0NQ,v2.ondemand,"This course on liquidity and solvency in financial accounting is designed to provide a comprehensive understanding of how to assess a company's short-term and long-term financial health. You will learn to calculate and interpret liquidity ratios, analyze management efficiency through various financial ratios, and evaluate a company's long-term solvency. 

This short course is part of the previous Master Track Certificate in Business Essentials. You may also be interested in a related short course from this program, ""Profitability in Financial Accounting.""","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""164136035""]","[""Bruce Busta""]",INTERMEDIATE,Liquidity and Solvency in Financial Accounting,"[""61""]",http://coursera-university-assets.s3.amazonaws.com/cf/82eec655e94be18859ab2cc402667a/Corporate.png,"[""IE Business School""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5c/a8405777a54446ba662b424a3eb85a/10.png,"[""en""]",[],liquidity-and-solvency-in-financial-accounting,[],50 minutes,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",Rn--AvfqEfCkqwr_6Yow9Q,v2.ondemand,"Build practical skills in managerial and cost accounting to support stronger business decisions. In this course, you’ll learn how organizations use internal accounting information to plan operations, control costs, evaluate performance, and guide strategy. You’ll explore core managerial accounting concepts, compare managerial and financial accounting, examine the value chain, and work with budgeting, cost allocation, cost objects, and manufacturing costs. You’ll also study cost accounting tools such as cost behavior analysis, cost-volume-profit analysis, and job costing versus process costing.

By the end of the course, you’ll be able to interpret key managerial and cost accounting concepts and apply them to realistic business scenarios. You’ll practice analyzing how accounting information supports pricing, planning, production, and operational decisions made by managers and business leaders. This course is designed for learners who want a practical foundation in internal decision-making tools used across accounting, finance, and management roles. Its emphasis on real-world application makes it especially useful for aspiring accountants, business professionals, and learners preparing for more advanced accounting study.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""194116255""]","[""William Karalius""]",INTERMEDIATE,Managerial and Cost Accounting,"[""3908""]",http://coursera-university-assets.s3.amazonaws.com/ea/5071a25ee84109ad3b8cedbf3a7e36/UCSB_200x48.png,"[""University of California, Santa Barbara""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a4/ab32576ee94bf1ba19d9cee9a12f9d/cropped_1080x1080-1-.png,"[""en""]","[""W8eFsd1xT6KpXAAqbnmjlQ""]",managerial-and-cost-accounting,[],,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert""]",LavAmus3EemMjhKUVpGhxg,v2.ondemand,"Finance is widely seen as an obstacle to a better world. Principles of Sustainable Finance explains how the financial sector can be mobilized to counter this. Using finance as a means to achieve social goals we can divert the planet and its economy from its current path to a world that is sustainable for all.  

Throughout this course, you will learn about the UN Sustainable Development Goals, how social and environmental factors should not be regarded as externalities, you will learn more about sustainable banking and asset management, about effective engagement, sustainable scenario analysis and long-term value creation. 

At the end of this course you will understand how sustainable finance can be used as a tool to steer the sustainability transition.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}]","[""24909446"", ""41710625"", ""59337373"", ""1178437"", ""22526066""]","[""Steve Kennedy"", ""Dirk Schoenmaker"", ""Karen Maas"", ""Eva Rood"", ""Rob van Tulder""]",INTERMEDIATE,Principles of Sustainable Finance ,"[""244""]",https://coursera-university-assets.s3.amazonaws.com/c7/f4047066e511e5b719139c93eb0bee/Erasmus-University-wide-logo.png,"[""Erasmus University Rotterdam""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f9/a73ac385d54d5db7084b20930da3dd/Coursera_Image-2fin.png,"[""en""]",[],sustainable-finance,[],,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",dqtuI-etEfCxfAr_wdNH_Q,v2.ondemand,"Analyze Financial Models: Scenarios and Sensitivity is an intermediate course designed for financial analysts, FP&A professionals, and investment professionals who need to move beyond static financial models. In today's volatile economic environment, relying on a single forecast is risky. This course provides the tools to build resilient, dynamic models that account for uncertainty, empowering you to make strategic decisions with confidence.

You will learn to systematically stress-test your financial models using scenario and sensitivity analysis in Microsoft Excel. Through expert-led screencasts and hands-on activities, you will master tools such as the Scenario Manager, build one- and two-way data tables, and create powerful visualizations, such as tornado charts, to pinpoint which variables pose the greatest risks. The course culminates in an assignment in which you will analyze a real-world business case and deliver a concise, data-driven recommendation to stakeholders, demonstrating your ability to translate complex analysis into an actionable business strategy.

Please note: A solid foundation in financial modelling concepts and proficiency in using Microsoft Excel for financial analysis are required to get the most out of this course.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""199677978""]","[""LearningMate""]",INTERMEDIATE,Analyze Financial Models: Scenarios and Sensitivity,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/03/8795cf6dae4e88b22645cf868a4385/CON-02642_img_courselogo.jpg,"[""en""]","[""VYsfIqcEQ2eigwsVDncX5Q""]",analyze-financial-models-scenarios--sensitivity,[],190 minutes,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",xEPoWzZUEeyTERK47a9PLQ,v2.ondemand,"In the third course, you will learn how to use information from cost accounting to improve managerial decision-making. We discuss business decisions and suggest how cost information can support them best. For example, how will costs change if managers adjust cost drivers? How many units do companies need to sell in order to avoid losses or to achieve a targeted profit? How can managers improve pricing or product programs with information from cost accounting?","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""4010863"", ""77430741"", ""47200066"", ""46708075""]","[""Gunther Friedl"", ""Marcus Witter"", ""Peter Schaefer"", ""Eline Schoonjans""]",INTERMEDIATE,Cost Accounting: Decision Making,"[""78""]",http://coursera-university-assets.s3.amazonaws.com/60/fd7a1033e14e8fa9a63310809697f6/TUM_Logo_Coursera.png,"[""Technical University of Munich (TUM)""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0f/f2d079ae2847438fec4ca93404cc1f/iStock-1159591390.jpg,"[""en""]","[""kYB-zCaWEeyzfApJb8kaUw""]",cost-accounting-decision-making,[],"3 weeks of study, 2.5 hours per week",6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",feFBTio9Ee6mDAo3fVlzHw,v2.ondemand,"This course introduces learners to the Data Analysis tools in Microsoft Excel. More specifically, learners will focus on how to build and use single regression and multiple regression to solve business problems.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""120780868""]","[""Alton Henley""]",INTERMEDIATE,Business Modeling Tools,"[""742""]",,"[""Howard University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/86/388df88bca41ab9c2b607645de6d68/AdobeStock_322505888.jpeg,"[""en""]","[""om8F-mnoQI6K0W0fv-VhPg""]",business-modeling-tools,[],,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",Y8YQkHGTEe6vVQ4BPfdaww,v2.ondemand,"The course Asset Pricing I will provide students with the main theoretical and analytical tools to study and understand the economics of financial markets and portfolio choices. After learning the different structure that financial markets can take and the key functions that these perform, learners will analyze how financial markets affect saving and investment decisions in an economy with no uncertainty. 
Then, learners will be introduced to expected utility theory, which will provide them with the key analytical tools to study choices under uncertainty. These tools will then be used to model and analyze portfolio choices: first, learners will study the so-called canonical portfolio problem, that is, the problem of an investor who has to choose how to allocate their wealth between a safe and a risky asset; then, they will study portfolio choices that involve multiple risky assets. 
The analysis of portfolio choices will allow learners to characterize and determine investors’ optimal demand for risky assets, which will lay the foundation for the analysis of the Capital Asset Pricing Model, a milestone for asset pricing and financial economics. 
The analysis of the CAPM will finally teach learners how to characterize equilibrium returns and asset prices in financial markets, also understanding the key forces that govern these key variables.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""141793824""]","[""Lorenzo Pandolfi""]",INTERMEDIATE,Asset Pricing Fundamentals,"[""619""]",http://coursera-university-assets.s3.amazonaws.com/75/8814b2dff94724a44b3a28257ff33a/wide-logo-for-marketing.png,"[""Università di Napoli Federico II""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/78/efd545db9540f6b549b81f287e1497/Cover_Coursera_Program_Course_Asset-Pricing-I.jpg,"[""en""]","[""yif35NfpQj2uk7vzbHAY8Q""]",asset-pricing-fundamentals,[],,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",SqLyT0oUEfGWAQr_yUmaWw,v2.ondemand,"This course focuses on foundational valuation methods used by investment bankers to assess companies and transactions. You'll learn essential techniques like comparable company analysis, precedent transactions, and discounted cash flow modeling. These skills are crucial for interpreting financial data and making informed valuation judgments in various deal contexts.

You’ll explore how these valuation frameworks are applied in real-world scenarios. By using a finance-first approach, the course emphasizes step-by-step modeling logic, enabling you to connect theoretical concepts with practical applications used by professionals in the field.

What makes this course different is its practical orientation, combining essential valuation techniques with hands-on modeling experience. You will gain the tools and knowledge required to perform accurate valuations, ensuring you're equipped for real-life investment banking roles.

This course is ideal for individuals pursuing a career in investment banking or finance. It's suitable for beginners to intermediate learners with basic financial knowledge.

This course is part one of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

Copyright © 2022 by Joshua Rosenbaum and Joshua Pearl. All rights reserved. Used by arrangement with John Wiley & Sons, Inc.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""205323684""]","[""Wiley Skills Network""]",INTERMEDIATE,Core Valuation Techniques in Investment Banking,"[""4357""]",http://coursera-university-assets.s3.amazonaws.com/be/8b133d3a37459386cbb52dc93d808d/Wiley_Wordmark_black_RGB.png,"[""John Wiley & Sons""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/97/ca22fcc0c24d11a4761c54e69099cd/9781807424817_square.jpg,"[""en""]","[""NnksFhQjRLSATnFRzcvB5Q""]",wiley-core-valuation-techniques-in-investment-banking,[],,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert""]",SE4XaFCOEe-mywr_6bZvLw,v2.ondemand,"A commercial bank acts as a financial intermediary, balancing deposits and loans, with lending being central to its operations and profit. Unlike personal credit, corporate credit requires a thorough, individual assessment of the borrowing entity due to complex risk factors. This course provides a structured framework for corporate credit analysis, emphasizing key aspects relevant to the Indian market, such as secured lending and MSME credit. It addresses the critical need for robust credit analysis to prevent significant losses, highlighted by notable failures like the Nirav Modi Scandal and Yes Bank.

This course is designed for new entrants in the finance industry, including junior credit analysts, relationship managers, and credit controllers. These professionals are often at the beginning of their careers or have recently transitioned into roles involving corporate credit assessment.

Participants should have a basic understanding of financial statements, including how they are structured and the fundamental components they contain. This foundational knowledge is necessary to grasp the more advanced concepts of credit analysis that will be covered in the course, such as financial ratio analysis and the construction of credit assessment frameworks.

By the end of this course, learners will be equipped to develop a comprehensive framework for effective corporate credit analysis, integrating critical aspects such as business, financial, and structural risk. They will be able to simplify the credit analysis process specifically for Micro, Small, and Medium Enterprises (MSMEs) by employing targeted tools and techniques to overcome challenges related to limited information. Additionally, learners will gain proficiency in measuring financial risk through ratio analysis, allowing them to accurately interpret key financial ratios and assess a company’s overall financial health and performance.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""160958945"", ""141793623""]","[""Simon Green"", ""Starweaver""]",INTERMEDIATE,Analyzing and Underwriting Corporate Credit in India,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f1/53fb3b623a46c6999d715b35a6265e/BATCH-6-1200X1200-1-.png,"[""en""]",[],analyzing-and-underwriting-corporate-credit-in-india,[],90 Minutes,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",dthN2PGZEeyFUAphC_7O7w,v2.ondemand,"This course discusses how public projects are evaluated using cost-benefit analysis. Learners discover how interest rates and prices for stocks and bonds are determined. Techniques are presented on how to create departmental budgets for engineering cost centers and pro forma statements for profit centers. Learners then work with corporate financial statements to assess a company’s financial health, including recent measures of environmental, social, and corporate governance (ESG).

This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""25865418""]","[""Michael J. Readey, Ph.D.""]",INTERMEDIATE,Financial Forecasting and Reporting,"[""71""]",http://coursera-university-assets.s3.amazonaws.com/e1/d25de6c2be4186a8884c35a4284184/Boulder-FL.png,"[""University of Colorado Boulder""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/23/4ef866ace0464abea3a146fcf0bcbe/Finance-for-Tech-Mgrs-C3-Logo.png,"[""en""]","[""KgxTlghQEe2XixLSc1sKOQ""]",financial-forecasting-and-reporting,[],4-6 hours/week,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",SOBJBJlKEeuvAhKafbQOPQ,v2.ondemand,"Este curso brinda una introducción a los mercados de capital, la formación de precios, el retorno, la volatilidad, los principios del análisis técnico de activos financieros, algoritmos de negociación basados en modelos de clasificación de machine learning, y sus aplicaciones a estrategias de inversión activas de corto plazo.

Este curso está dirigido a personas interesadas en soportar la toma de decisiones de inversión de activos financieros en el mercado de capitales basados en herramientas de analítica. Este curso no requiere de la instalación de ningún programa externo en un equipo local. Todas las herramientas digitales son provistas por la plataforma.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""5585449""]","[""Sergio Cabrales""]",INTERMEDIATE,Algoritmos de negociación basados en machine learning​,"[""273""]",https://coursera-university-assets.s3.amazonaws.com/8d/edebd063d211e5b41af519d346e372/logoUniandesAmarillo200x48.png,"[""Universidad de los Andes""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f9/7df99d1737450686d7ca293782d16c/EX21MADFANML-800-X-800.png,"[""es""]","[""T62dhyBgEeylowpTGfKUBQ""]",algoritmos-de-negociacion-basados-en-machine-learning,[],4 a 6 horas a la semana por 4 semanas,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",MdS-QxLmEfGTgQr_yxD4Aw,v2.ondemand,"Evaluate investments, manage financial risk, build operating budgets, and guide capital allocation decisions. In this course, you’ll develop the analytical skills financial analysts use to support strategic and risk-aware business decisions.

You’ll differentiate asset classes such as stocks, bonds, mutual funds, and ETFs, and assess their risk and liquidity characteristics. You’ll calculate Value at Risk (VaR) using historical simulation methods and apply risk matrices to evaluate market, operational, and regulatory exposure. You’ll also create operating budgets using inflation adjustments and define SMART KPIs to measure financial performance. Finally, you’ll analyze economic signals and assess capital investment opportunities using risk-adjusted returns and scenario modeling.

What makes this course unique is its integration of budgeting, investment analysis, and quantitative risk measurement. The course concludes with a portfolio-ready project where you evaluate a capital investment opportunity and present a risk-adjusted recommendation.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""185939614""]","[""Professionals from the Industry""]",INTERMEDIATE,"Analysis, Budgeting, and Risk Management","[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6e/0bb2b66dee438c9462c350cbc67dbb/c5_Coursera-Originals_-Data-Science-Essentials-Toolkit_CertCard.png,"[""en""]","[""Ny7hiTH0SrKPORYkOGpeqQ""]",analysis-budgeting-and-risk-management,[],"4 weeks of study, 5–7 hours per week",6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",hQ3bjkrlEfG6yBIHPSW1lw,v2.ondemand,"In this intermediate-level specialization, you will transform data into compelling visuals and strategic recommendations. You'll create interactive variance visualizations in Power BI and craft executive reports using AI-assisted tools. You'll learn to present financial insights through visually compelling dashboards and polished professional reports that drive executive decision-making.

This course is for financial professionals with 1–3 years of experience, including analysts, who have a foundational understanding of financial principles and standard data tools. By the end of this course, you will be able to create interactive variance visualizations showing financial performance drivers, apply AI-assisted tools for enhanced visual design, create AI-enhanced executive reports with clear narratives, and explain strategic insights through polished, professional reporting formats.

This course requires Power BI Desktop, which runs on Windows PCs or Macs with Parallels Desktop. Microsoft 365 online can be used as an alternative, though the desktop version is recommended for full feature access. Microsoft Copilot is optional but significantly enhances visual design and report writing.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""56970540""]","["" Microsoft""]",INTERMEDIATE,Data Visualization and Executive Storytelling,"[""705""]",http://coursera-university-assets.s3.amazonaws.com/73/8792b24ae547c1a582c33f7ea4d569/Microsoft-logo_rgb_200x43.png,"[""Microsoft""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3a/e72666ba0045c59b633852cf4fea6d/Data-Visualization-and-Executive-Storytelling_img_courselogo.png,"[""en""]","[""SI--AFafRnqEoHuuP-SH-g""]",data-visualization-and-executive-storytelling,[],7.5 hours,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert""]",UZ6dmDyNEfCOuAr_zZaBvQ,v2.ondemand,"This course features Coursera Coach!
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

In this course, you'll gain a comprehensive understanding of Central Bank Digital Currencies (CBDCs), their role in the financial ecosystem, and their business and economic implications. Starting with the basics, you'll learn the fundamental concepts and distinctions between CBDCs and cryptocurrencies, while exploring their evolution and implications on digital finance. The course will guide you through real-world case studies from around the world, providing insights into how various countries are implementing and adopting CBDCs.

The journey will take you through an exploration of CBDCs’ potential to transform businesses, monetary policies, and economies globally. You'll critically examine their impact on financial systems, explore their technological underpinnings, and analyze the risks and rewards associated with digital currency adoption. Key topics include the role of CBDCs in economic stability, security, financial inclusion, and their complex relationship with decentralized finance.

Whether you're an aspiring fintech enthusiast, an economist, or a business professional, this course will help you understand how CBDCs fit into the future of money. We will also critically assess the broader implications of digital currencies, looking at their societal impact and the evolving landscape of digital financial systems. The course will provide the tools needed to understand CBDCs' place in the future of finance, with a focus on practical and theoretical applications.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""158375127""]","[""Packt - Course Instructors""]",INTERMEDIATE,The Complete CBDC Course - Digital Currency for All Levels,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/48/a6895e532e477abeac3a7cb5b5179c/skill_image_square.jpg,"[""en""]",[],packt-the-complete-cbdc-course-digital-currency-for-all-levels-mtnky,[],,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",NyzO9f9QEeiU2RImQolf6g,v2.ondemand,"This course will focus on capturing the evolution of interest rates and providing deep insight into credit derivatives. In the first module we discuss the term structure lattice models and cash account, and then analyze fixed income derivatives, such as Options, Futures, Caplets and Floorlets, Swaps and Swaptions. In the second module, we will examine model calibration in the context of fixed income securities and extend it to other asset classes and instruments. Learners will operate model calibration using Excel and apply it to price a payer swaption in a Black-Derman-Toy (BDT) model. The third module introduces credit derivatives and subsequently focuses on modeling and pricing the Credit Default Swaps. In the fourth module, learners would be introduced to the concept of securitization, specifically asset backed securities(ABS). The discussion progresses to Mortgage Backed Securities(MBS) and the associated mortgage mathematics. The final module delves into introducing and pricing Collateralized Mortgage Obligations(CMOs).","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}]","[""1325459"", ""33645802"", ""1325435""]","[""Garud Iyengar"", ""Ali Hirsa"", ""Martin Haugh""]",INTERMEDIATE,Term-Structure and Credit Derivatives ,"[""40""]",http://coursera-university-assets.s3.amazonaws.com/aa/5bd170463311e7b9aab976f3e51f91/286OfficialColumbiaLogo.png,"[""Columbia University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ce/eb6a7bd7ce4a0c8046ca0d95560fe3/FE2.png,"[""en""]","[""aRxESQNMEeuH3Q6N8dCjzw""]",financial-engineering-termstructure,[],5-8 hours/week,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert"", ""Specialization""]",6FpU9ljyEfGNJQ4oKAS82Q,v2.ondemand,"Build a strong foundation in financial analysis by learning how to interpret, connect, and evaluate the three core financial statements: the income statement, balance sheet, and cash flow statement. This financial analysis course introduces key accounting principles, IFRS standards, and the analyst techniques used to assess financial performance, identify risks, and improve comparability across companies and industries.

Learners will explore revenue recognition, depreciation and amortization, inventory accounting, consolidation, provisions, and the major IFRS vs. US GAAP differences relevant to financial analysis. Through practical examples, mini case studies, and hands-on exercises, you will learn how accounting policy choices affect metrics such as EBITDA, ROIC, earnings quality, and cash flow.

The course also examines common financial misrepresentation tactics, including revenue manipulation, expense classification issues, capitalization practices, and non-recurring adjustments. By the end, you will be able to apply financial statement analysis with greater confidence, detect red flags, and perform normalized financial analysis for informed business and investment decision-making.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""139904014"", ""141793623""]","[""Manish Gupta"", ""Starweaver""]",INTERMEDIATE,Foundations of Financial Analysis ,"[""1510""]",http://coursera-university-assets.s3.amazonaws.com/1e/f13c265c4f4e93903e17d8c249e1a8/200-X-48.png,"[""STARWEAVER""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e4/952ee324a543ddae26f40e5d7d0909/1200x1200px-_-Foundations-of-Financial-Analysis.jpg,"[""en""]","[""AV4v7-EfSTSfAOZM2qJ8Pg""]",foundations-of-financial-analysis,[],4 Hours,6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert""]",qSOo1n_DEe2QHRL3YiV0EQ,v2.ondemand,"공급망금융의 주요 성공 요소를 알아봄으로써 기업 구매 조직을 위한 성공적인 자금 조달 프로그램을 구현하고 관리합니다. 본 강좌에서는 공급망금융이 당면한 과제와 장애물이 무엇인지 알아보고, 이들이 공급망금융 프로그램에 미치는 영향을 알아봅니다. 본 강좌는 공급망금융 프로그램에 이상적인 고객이 누구인지 파악하고, 수익 창출 방법과 함께 공급망금융 프로그램의 가격 책정 방법을 이해하는 데 도움이 될 수 있도록 합니다. 강좌를 통해 공급자가 온보딩하여 거래할 수 있는 관련 요소를 알아보고 공급망금융와 관련된 주요 역할 및 책임을 파악할 수 있습니다.

또한 본 강좌에서는 지표 개발 방법을 설명하고 효과적인 자금 조달 프로그램을 개발함에 있어서 필요한 요소를 파악합니다. 본 강좌를 마치고 나면, 사전 영업 분석 및 세부 공급자 분석을 수행할 수 있으며, 이는 공급망금융 프로그램을 설정함에 있어서 중요한 역할을 합니다.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""38574485""]","[""Jack Farmer""]",INTERMEDIATE,공급망금융의 주요 성공 요소,"[""499""]",http://coursera-university-assets.s3.amazonaws.com/8f/b944a0240911e9bd8917d237efea07/NYIF_Logo.png,"[""New York Institute of Finance""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/97/6258000ecd11e98023134db1e323fd/smart-home-3148026_1920.jpg,"[""ko""]",[],key-success-factors-supply-chain-finance-ko,[],"5주 과정, 주당 1~4시간 소요",6khrJmwxChXlxzBkG,KL17abK5nerXBoXMx
[],"[""VerifiedCert""]",_eWW-PWcEe-jCgr_wH8PfQ,v2.ondemand,"In this course, you’ll discover how Generative AI can enhance risk detection, automate monitoring, and improve decision-making. Through hands-on projects and real-world case studies, you’ll gain practical expertise to apply AI-driven strategies in complex risk environments. Whether you’re a risk professional or business leader, this course will equip you with the tools to transform your approach to risk management.

This course is designed for experienced professionals at the forefront of risk management, quantitative analysis, and AI-driven modeling. Whether you're a Senior Risk Analyst or Manager looking to enhance predictive insights, a Quantitative Risk Specialist refining complex risk models, or an AI Risk Model Developer integrating GenAI into risk assessment frameworks, this course offers advanced methodologies to elevate your expertise. Enterprise Risk Architecture Specialists will gain insights into multi-source data integration, while Advanced Risk Analytics Professionals will explore cutting-edge AI-driven techniques to automate risk detection and enhance decision-making in high-stakes environments.

To ensure you gain the most from this course, we recommend a solid foundation in risk analysis and AI-driven methodologies. Learners should have completed GenAI for Risk Managers: Essentials (or possess equivalent experience), along with a working knowledge of risk modeling, quantitative analysis, and fundamental machine learning concepts. Familiarity with established risk management frameworks and tools will further enhance your ability to apply advanced GenAI techniques effectively. This course is designed for professionals ready to push the boundaries of AI-driven risk strategies.

By the end of this course, you will have the skills and confidence to integrate Generative AI into your risk management strategies effectively. You’ll be equipped with advanced techniques for risk detection, scenario modeling, and real-time monitoring, enabling you to make data-driven decisions with greater precision. As AI continues to transform the risk landscape, your ability to leverage GenAI will position you at the forefront of innovation in risk management.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""141793623"", ""161399241""]","[""Starweaver"", ""Ritesh Vajariya""]",ADVANCED,GenAI for Risk Managers: Advanced Risk Analysis Techniques,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/10/91db05631c44d39cb589b3db0e6b7e/Thumbnail-1200-x-1200-px-1-.png,"[""en""]",[],genai-for-risk-managers-advanced-risk-analysis-techniques,[],3 Hour 20 minutes,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",JUunIN1cEfCLEhL2nPN9jQ,v2.ondemand,"The modern data landscape demands professionals who can seamlessly bridge the gap between data lakes and data warehouses. This course transforms your ability to architect, implement, and optimize lakehouse platforms that deliver both flexibility and performance.

This Short Course was created to help data engineering professionals accomplish scalable data platform implementation using advanced SQL and lakehouse patterns.

By completing this course, you'll be able to register massive file-based datasets as queryable external tables, make informed decisions between Delta Lake, Iceberg, and Hudi formats, and automate robust data ingestion pipelines that keep your warehouse synchronized with your lake.

By the end of this course, you will be able to:
- Apply configurations to register file-based datasets as external tables
- Analyze the technical capabilities of different open-source table formats
- Create a data ingestion pipeline within a lakehouse architecture

This course is unique because it combines hands-on SQL implementation with strategic architectural decision-making, giving you both the technical skills and analytical framework needed for enterprise-scale data platforms.

To be successful in this course, you should have a background in SQL, data warehousing concepts, and distributed systems fundamentals.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""193200302""]","[""Hurix Digital""]",ADVANCED,Build & Analyze Your Data Lakehouse,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/af/7a0c9348da425d83deeab968ef673f/Logo-Image-1200-X-1200.png,"[""en""]","[""VQfpkC-nTH-nMDLW2KaGgw"", ""hAEQk4UzQkWRISf2z3-kwA""]",build--analyze-your-data-lakehouse,[],165 minutes ,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",d_oOJtWtEfCZihIC4LWgUw,v2.ondemand,"This course features Coursera Coach!
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.
Explore the cutting-edge world of Deep Learning, Natural Language Processing (NLP), and AI applications in this advanced course. You’ll gain hands-on experience with neural networks, CNNs, RNNs, transformers, and other state-of-the-art architectures. Learn to tackle real-world AI tasks such as image classification, sentiment analysis, text summarization, and language translation. This course will guide you through the powerful tools and techniques that are transforming industries, preparing you to build sophisticated AI models.
You will start by building foundational knowledge in deep learning, understanding neural networks, forward propagation, and backpropagation. As the course progresses, you’ll work with convolutional neural networks (CNNs) for image recognition, recurrent neural networks (RNNs) for sequence modeling, and transformers for NLP tasks. Additionally, you’ll learn transfer learning to leverage pre-trained models for efficient AI development.
This course is designed for learners with a background in machine learning or deep learning who want to expand their expertise into NLP and advanced AI techniques. Whether you’re an AI researcher or aspiring AI engineer, this course will help you apply deep learning to real-world applications.
By the end of the course, you will be able to design and implement deep learning models, optimize them for complex AI tasks, and apply cutting-edge NLP techniques to build powerful AI applications.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""158375127""]","[""Packt - Course Instructors""]",ADVANCED,"Deep Learning, NLP, and AI Applications","[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/19/5191beb084421098c0b38cef71610b/V36605-skill_image_square.jpg,"[""en""]","[""5VkpdDVFQiKMIAVGomtsTA""]",packt-deep-learning-nlp-and-ai-applications-bdmof,[],,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",ZJJrC9pjEfC8QRL1Tiq31w,v2.ondemand,"Ready to elevate your data engineering expertise from tactical execution to strategic leadership? This course transforms experienced SQL practitioners into architecture strategists who can drive enterprise-wide modernization initiatives.

This Short Course was created to help data management and engineering professionals accomplish systematic technology assessment, financial evaluation, and strategic planning for complex data infrastructure projects.

By completing this course, you'll be able to lead comprehensive architecture reviews, build compelling business cases with data-driven financial models, and execute migration strategies that balance technical excellence with business continuity.

By the end of this course, you will be able to:
Analyze current and target-state architectures to identify SQL tooling gaps
Evaluate initiatives by developing and applying SQL-derived cost-benefit models
Create a strategic roadmap to migrate legacy data transformation processes

This course is unique because it bridges advanced SQL expertise with strategic business planning, teaching you to think like both a technical architect and business strategist when making critical infrastructure decisions.

To be successful in this project, you should have a background in advanced SQL development, database architecture, and enterprise data systems.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""193200302""]","[""Hurix Digital""]",ADVANCED,Strategize Your Data Engineering Evolution,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/33/93ab0160b5412a8c2424227d36add4/Logo-Image-1200-X-1200.png,"[""en""]","[""d-fgw-jUS2usYFOiSPyNfA""]",strategize-your-data-engineering-evolution,[],147minutes,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert""]",64p5NhxlEe-Ojg4Sufxjbw,v2.ondemand,"Python is the most popular programming language used for data science and is a must-know to start or advance your career in data.

In this course, you will learn the most fundamental skills to write and execute Python code. We will have an overview of the basic Python concepts, which will enable you to get started with a data science project! You will see how to load, clean, analyze, and transform data with two popular Python packages: Numpy and Pandas. Then, we will demonstrate how to effectively communicate the key insights from your analysis by visualizing your data using the Matplotlib and Seaborn packages. Finally, you’ll combine these skills and put your new knowledge into practice by analyzing financial data through a case study.

Upon completing this course, you will be able to: 
•	Write and execute Python code to create variables, generate outputs, apply various operators, and manipulate different types of data
•	Capture and transform data using Numpy and Pandas packages
•	Explore data through different statistical methods to gain a deeper understanding
•	Visualize data to share insights using the Matplotlib and Seaborn packages
•	Combine and apply the skills above to analyze financial data

This Python Fundamentals course is perfect for anyone who would like to build up their programming skills and use Python for data science to analyze data. This course is designed to equip anyone who desires to begin or further their career in data analysis, quantitative analysis, business intelligence, or other areas of business and finance.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""144114998""]","[""CFI (Corporate Finance Institute)""]",ADVANCED,Python Fundamentals,"[""1659""]",http://coursera-university-assets.s3.amazonaws.com/bd/60fd0770384ff3a345d1f001c483e9/Wide-Logo-for-Marketing-Purposes-200x48px.png,"[""Corporate Finance Institute""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bd/90776371b546a6aa83a3b21a82b527/Union-Mark_navy-large.png,"[""en""]",[],python-fundamentals,[],,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert""]",-m3Rec5yEfCGDQr_wTYZuQ,v2.ondemand,"Complex aerospace components that once took months to manufacture are now printed in days. Major aerospace companies like GE Aviation and Airbus have revolutionized production through additive manufacturing, achieving 50% weight reductions while exceeding performance standards. This transformation represents the industry's shift to mission-critical 3D printing capabilities.

This comprehensive course equips engineers with essential additive manufacturing knowledge tailored for aerospace applications. You'll master AM principles, from layer-by-layer fabrication to aerospace-specific material science, strategic advantages of AM in aerospace, materials selection and process optimization, and advanced design methodologies including topology optimization. Through real-world case studies, you'll analyze successful implementations and navigate challenges in quality control and certification.

This course is for aerospace, mechanical, and manufacturing engineers, as well as R&D and design professionals aiming to apply 3D printing in aerospace. It also suits advanced learners seeking to connect engineering design, materials, and additive manufacturing technologies.

Learners should have a basic understanding of 3D printing, CAD, and common aerospace materials. They should also be familiar with core aerospace engineering concepts and general manufacturing processes.

By course completion, you'll evaluate components for AM suitability, select optimal materials and processes, and apply lightweight design strategies. You'll also master SLM, EBM, and DED techniques, preparing you to lead AM initiatives while ensuring aerospace compliance.","[{""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""148853199"", ""141793623""]","[""Lluis Foreman"", ""Starweaver""]",ADVANCED,Aerospace 3D Printing: Additive Manufacturing,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/31/f19868ccdd4250a05728059728fed6/Thumbnail-1200x1200px-Aerospace-3D-Printing-Additive-Manufacturing.jpg,"[""en""]",[],aerospace-3d-printing-additive-manufacturing,[],60 Minutes,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert""]",wyqudWu8EeufExI7Hdi1lQ,v2.ondemand,"Welcome to this project-based course, SQL CASE Statements. In this project, you will learn how to use SQL CASE statements to query tables in a database.
By the end of this 2-hour long project, you will be able to write simple CASE statements to retrieve the desired result from a database. Then, we will move systematically to write more complex SQL CASE statements. Furthermore, we will see how to use the CASE clause together with aggregate functions, and SQL joins to get the desired result you want from tables in a database. Also, you will learn how to use the CASE clause to transpose the result of a query.

Also, for this hands-on project, we will use PostgreSQL as our preferred database management system (DBMS). Therefore, to complete this project, it is required that you have prior experience with using PostgreSQL. Similarly, this project is an advanced SQL concept; so, a good foundation for writing SQL queries, and performing joins in SQL is vital to complete this project.
If you are not familiar with writing queries in SQL and SQL joins and want to learn these concepts, start with my previous guided projects titled “Querying Databases using SQL SELECT statement"", “Performing Data Aggregation using SQL Aggregate Functions” and “Mastering SQL Joins”. I taught these guided projects using PostgreSQL. So, taking these projects will give the needed requisite to complete this project on SQL CASE Statements. However, if you are comfortable writing queries in PostgreSQL, please join me on this wonderful ride! Let’s get our hands dirty!","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""40353561""]","[""Arimoro Olayinka Imisioluwa""]",ADVANCED,SQL CASE Statements,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/04/dac7a3b70142489660ee254864855b/logo.png,"[""en""]",[],sql-case-statements,[],2 hours,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",9RgOPGtzEe-Quwr_1ABTmQ,v2.ondemand,"In this course, you'll practice your software craftsmanship skills by coding six different merge sort algorithms. Each solution will teach you a new technique for solving problems as a software developer and level up your computer science skills in general.

The course aims to help working developers or bootcamp graduates to step up their software design skills by learning to think algorithmically.

Along the way, you'll learn to code six alternative implementations of the Merge Sort algorithm, as well as algorithm analysis and a handful of powerful design patterns.

By the end, you’ll be more confident in your CS skills and have sharper problem-solving abilities.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""163588393""]","[""Jonathan Lee Martin""]",ADVANCED,Data Structures and Algorithms: Merge Sort,"[""1324""]",http://coursera-university-assets.s3.amazonaws.com/97/f444df8f4e4d8297bd419f9383cf4f/Frame-915.png,"[""Scrimba""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f7/f0242c99244d28b998890071a22617/merge-sort.png,"[""en""]","[""VwA5ySpLRVyTTvog4CyNrg""]",learn-algorithms-merge-sort-in-javascript,[],,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",FN1I5QWyEfG7TRKAvZu_6Q,v2.ondemand,"You will develop advanced skills in SQL optimization, automated testing, and data integrity management essential for production database environments. This comprehensive course combines performance tuning, quality assurance, and database automation to prepare you for senior data engineering roles.

You'll gain practical experience diagnosing query bottlenecks through execution plan analysis, implementing comprehensive testing frameworks for data transformations, and building CI/CD pipelines for database migrations. The course covers advanced techniques like recursive CTEs for hierarchical data, custom user-defined functions, and idempotent data manipulation scripts.

What makes this course unique is its focus on production-ready database practices. You'll work with real performance scenarios, build automated testing suites, and implement safe data modification procedures that prevent corruption and ensure audit trails.

By completion, you'll confidently optimize database performance, implement robust testing frameworks, and maintain data integrity in enterprise environments—skills crucial for database administrators and senior data engineers.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""185939614""]","[""Professionals from the Industry""]",ADVANCED,"SQL Performance, Testing, and Data Integrity","[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8b/5a6ce06b724b11bdfcb0834c3a6eb6/levelupcourses.png,"[""en""]","[""7P7YLKYFTAe43a_lcZ98kg""]",sql-performance-testing-and-data-integrity,[],,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",6psstTctEfGBzw7gKn9Mrw,v2.ondemand,"This course focuses on applying analytics techniques to real HR challenges. You'll learn to track workforce metrics, identify talent risks, analyze engagement drivers, and support data-informed decisions.
You'll begin by building workforce dashboards using core HR metrics such as time-to-hire and absenteeism. You'll then analyze talent-management data to identify retention risks and high-potential employees. The course also introduces structured problem-solving methods, including root-cause analysis for workforce challenges.
You’ll practice decision-making using weighted matrices and learn to measure engagement using survey data. A Generative AI literacy module demonstrates how AI tools can support analytics workflows and insight generation. The course concludes with a hands-on project building a workforce health dashboard.
This course is ideal for professionals who want to move from reporting HR data to using analytics for decision-making and workforce planning.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""185939614""]","[""Professionals from the Industry""]",ADVANCED,Analytics Application & Insight,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/99/8cc3a8f30e414e8427811565dca6b1/Analytics-Application-Insight.png,"[""en""]","[""S1KT8aoRRz-szh2lPOYt_A""]",analytics-application-and-insight,[],30-60 minutes/week,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",JsSvuROtEfGQ2w5GCXwtVw,v2.ondemand,"Advanced analytics teams don't rely on a single technique — they combine AI-driven optimization, causal inference, and probabilistic simulation to solve problems that simpler methods can't touch. In this course, you will build that multi-method capability. You will apply ensemble AI techniques and linear programming to prescribe optimal actions, use propensity-score matching and causal discovery to confirm that your insights reflect true cause-and-effect relationships, and run Monte Carlo simulations to quantify risk and uncertainty in your recommendations. 

Along the way, you will evaluate trade-offs across accuracy, interpretability, and computational efficiency — the judgment calls that separate capable analysts from trusted advisors. Each skill builds toward a capstone project in which you synthesize all methods into an integrated marketing mix optimization framework, complete with an executive-ready recommendation. 

Whether you are advancing in data science, moving into an analytics leadership role, or building portfolio credentials that demonstrate strategic analytical thinking, this course gives you the end-to-end toolkit to do it.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""185939614""]","[""Professionals from the Industry""]",ADVANCED,AI Optimization & Experimental Methods,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fe/a4b1a21de94793b0a19a3c5b99c77e/AdobeStock_1929209066.jpeg,"[""en""]","[""Zj5gB9YUQiOKWc0PmY_mYA""]",ai-optimization--experimental-methods,[],,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",2UNY2LMVEfCQ7hKfC_KOeQ,v2.ondemand,"Are you ready to master one of machine learning’s most powerful and interpretable algorithms? This course will guide you through the complete journey of understanding, building, and evaluating decision tree models using Java, the enterprise-standard programming language. You’ll start by exploring the core concepts, how decision trees partition data, why splitting criteria such as entropy and the Gini index matter, and when decision trees outperform other algorithms. From there, you’ll move into hands-on implementation, using industry-standard tools like Weka’s intuitive GUI and Java API along with Smile’s high-performance library to develop, tune, and deploy models. Through practical exercises, you’ll learn to configure hyperparameters, balance rapid prototyping with production-ready design, and apply robust model evaluation techniques such as confusion matrices, cross-validation, and key performance metrics. 

Aspiring and experienced data scientists, Java developers, and machine learning engineers seeking to build, evaluate, and interpret decision tree models for real-world applications in finance, healthcare, and business analytics. 

Basic Java programming experience, understanding of object-oriented concepts, and fundamental knowledge of data science principles required.

By the end of the course, you’ll be equipped to detect and reduce overfitting, optimize model performance, and effectively communicate insights to technical and business stakeholders alike.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""141793623"", ""185378837""]","[""Starweaver"", ""Tom Themeles""]",ADVANCED,Build & Evaluate Decision Trees for ML,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d8/b63b3713bc49f889c63c53ea9a3d46/Thumbnail-1200x1200px-Build-Evaluate-Decision-Trees-for-ML.png,"[""en""]","[""iIJOJa-_T4ihIpEnHZV9hQ""]",build--evaluate-decision-trees-for-ml,[],6 Hours 54 Minutes,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert""]",z1PUAaxfEeuLCQ6P36XDuw,v2.ondemand,"In this one hour long project-based course, you will tackle a real-world problem in robotics.  We will be simulating a robot that can move around in an unknown environment, and have it discover its own location using only a terrain map and an elevation sensor.  We will encounter some of the classic challenges that make robotics difficult: noisy sensor data, and imprecise movement.

We will tackle these challenges with an artificial intelligence technique called a particle filter.

By the end of this project, you will have coded a particle filter from scratch using Python and numpy. 

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""33674364""]","[""Daniel Romaniuk""]",ADVANCED,Robot Localization with Python and Particle Filters,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/dc/77e026911e4efd9d1430e634f0cbce/robot1_1200x1200.jpg,"[""en""]",[],robot-localization-python-particle-filter,[],1 hour,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",i_i7VUKGEfC6-g6hfV5HWQ,v2.ondemand,"This course features Coursera Coach! 
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

In this advanced-level course, you will explore sophisticated AI techniques for creating realistic, dynamic, and intelligent behaviors in Unity. Starting with crowd simulation, you will learn how to simulate large groups of agents moving as one, as well as how to implement flocking behavior for AI groups. The course takes you through the process of creating goal-driven AI using Goal-Oriented Action Planning (GOAP), and introduces behavior trees to structure complex decision-making systems. 

The course begins with a focus on crowd simulation, where you will learn how to simulate both fleeing and flocking behaviors in groups of agents. Then, you will dive into Goal-Oriented Action Planning (GOAP), creating intelligent agents that plan their actions dynamically based on environmental conditions. Additionally, you’ll explore behavior trees, a powerful tool for organizing AI actions and decision-making, allowing your agents to execute tasks like navigation, combat, and interaction with the game world.

Designed for developers looking to level up their AI development skills, this course requires prior experience with Unity and basic AI concepts. Whether you're developing strategy games, simulation games, or action games, the techniques learned in this course will help you build more complex and engaging AI systems for your games. By the end of the course, you will be equipped to implement highly adaptive AI for a variety of game environments.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""158375127""]","[""Packt - Course Instructors""]",ADVANCED,Advanced AI Techniques and Behavior in Unity,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cc/fbc4911d2f448e837bb57204d9014f/skill_image_square-AI.jpg,"[""en""]","[""ApY-PL8ASsyEU3WeTnuM6Q""]",packt-advanced-ai-techniques-and-behavior-in-unity-q6rqa,[],,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",V8NsJjfoEe-NSA5zWhNuuw,v2.ondemand,"This advanced Pandas course delves deep into date-time manipulation, covering Timestamps, DatetimeIndex objects, and pd.date_range for effective time series handling. 

- You'll master techniques like using the dt attribute and DateOffset objects for arithmetic operations and timedeltas. 
- Learn essential input-output operations, including exporting DataFrames to CSV and Excel files using openpyxl, and seamless file imports. 
- Enhance data presentation with Matplotlib for basic visualizations, customizing aesthetics with templates, and creating bar and pie charts. 

Ideal for data analysts, scientists, and Python enthusiasts with intermediate to advanced Pandas skills, this course enriches data workflows and visualization capabilities.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""158375127""]","[""Packt - Course Instructors""]",ADVANCED,Advanced Data Analysis and Visualization with Pandas,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/48/7e2420dd4d4f658be5548ce1701ee0/V09369.jpg,"[""en""]","[""gjBKrdKAS4y1G33POHxEHg""]",packt-advanced-data-analysis-and-visualization-with-pandas-ofifg,[],,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",KO41jdpkEfC0Ugr_7n8n4Q,v2.ondemand,"Transform your data engineering expertise with advanced validation and historization techniques that ensure bulletproof data integrity. This course equips you with the critical skills to programmatically verify transformation accuracy through automated checksum validation and build enterprise-grade reusable logic for tracking historical changes in dimensional data.

This Short Course was created to help data management and engineering professionals accomplish reliable, auditable data transformations that maintain complete historical accuracy.

By completing this course, you'll be able to implement automated data validation workflows that catch discrepancies before they impact downstream systems, and architect modular SCD2 logic that can be deployed across multiple dimensional tables with confidence.

By the end of this course, you will be able to:
Evaluate data transformation accuracy by comparing aggregate checksums and flagging discrepancies
Create reusable transformation logic to track historical changes in dimensional data

This course is unique because it combines practical validation techniques with enterprise-scalable historical tracking patterns, focusing on real-world implementation challenges that data engineers face daily.

To be successful in this project, you should have a background in advanced SQL, data warehousing concepts, ETL/ELT processes, and experience with dimensional modeling.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""193200302""]","[""Hurix Digital""]",ADVANCED,Validate and Track Data History Confidently,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ec/2f0729293c4966825b65ef9c5b61a2/Logo-Image-1200-X-1200.png,"[""en""]","[""pHpU1cXITy68fX7tANxqLg"", ""xwaxpbe8TtuL4et-Ovg1aQ""]",validate-and-track-data-history-confidently,[],94 minutes,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",Jv4aW8RQEfC_WA6vdvdWGw,v2.ondemand,"This advanced course guides learners through testing and debugging Java-based ML pipelines using professional-grade tools and CI/CD workflows. You’ll write robust unit and integration tests for core ML components like EntropyCalculator and Normalizer, apply Mockito to mock file I/O, and increase test coverage from 62% to 85%. Learners will trace intermittent pipeline failures, diagnose random seed issues, and implement reproducibility (new Random(42)) to ensure stability across multiple runs. The course concludes with CI-based automation using JUnit, Tribuo, and GitHub Actions, preparing participants for real-world ML testing and DevOps environments.

This course is for experienced Java developers and ML engineers looking to improve testing, debugging, and CI/CD automation in ML pipelines. It focuses on making pipelines reliable, efficient, and production-ready using tools like JUnit, Mockito, and GitHub Actions. Ideal for those in MLOps, QA, or DevOps roles.

Learners should be proficient in Java and JUnit, with an understanding of ML workflows and CI/CD.

By the end of this course, you’ll have the practical skills to confidently design, test, and stabilize enterprise-grade ML pipelines in Java. You’ll know how to build reproducible workflows, integrate tests into CI/CD systems, and apply modern debugging strategies to eliminate flakiness and ensure consistency in production environments — preparing you for advanced roles in ML testing, DevOps, and MLOps engineering.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""141793623"", ""199294894""]","[""Starweaver"", ""Parul Wadehra""]",ADVANCED,Test & Debug Java ML Pipelines,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3d/f22131273b466181d6204374bbe422/Thumbnail-1200x1200px-Test-Debug-Java-ML-Pipelines.jpg,"[""en""]","[""iIJOJa-_T4ihIpEnHZV9hQ""]",test--debug-java-ml-pipelines,[],60 mins,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",kszoRZnDEfCZ4BJ_kPxqeQ,v2.ondemand,"This course features Coursera Coach!
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

In this course, you will master advanced deployment strategies, MLOps, and generative AI using Azure ML Studio. You’ll explore techniques to scale machine learning workloads with parallel processing, distributed training, and serverless deployments, including deployment on edge devices and Kubernetes. Learn to manage machine learning workflows with Azure DevOps, GitHub Actions, and Infrastructure as Code (IaC), ensuring seamless integration and security. You’ll also dive into the fundamentals of generative AI, understanding how models like GPT, DALL·E, and others are revolutionizing the AI landscape, and how to fine-tune these models for specific tasks.

Throughout the course, you’ll gain hands-on experience with real-time and batch inference, logging, and model monitoring using Azure Monitor and Application Insights. You will also work with cutting-edge tools to optimize models for inference speed and deploy them in production environments. The course will equip you with the skills to operationalize machine learning models effectively, from deployment to monitoring, ensuring they stay efficient and secure over time.

This course is designed for professionals and developers looking to advance their skills in machine learning operations (MLOps) and explore the transformative potential of generative AI models. You will work with practical demos to apply what you learn in real-world scenarios, building deployable models that integrate seamlessly with your existing systems.

By the end of the course, you will be able to deploy machine learning models using advanced strategies like distributed training and serverless deployment. Implement MLOps pipelines with Azure DevOps and GitHub Actions for end-to-end automation, and Fine-tune and optimize generative AI models like GPT and DALL·E for customized tasks.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""158375127""]","[""Packt - Course Instructors""]",ADVANCED,"Advanced Deployment, MLOps, and Generative AI in Azure","[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2c/e00ca8a8894316a97ada37b2bcd0c8/skill_image_square.jpg,"[""en""]","[""ofGHb5c0S3y3waPXpMbgxA""]",packt-advanced-deployment-mlops-and-generative-ai-in-azure-adrqb,[],,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",p3q3xwMCEe-SXg6EFTZuww,v2.ondemand,"The Tableau Capstone Project allows you to apply what you've learned about making data-driven decisions to real business challenges companies face every day.  

Effective business intelligence (BI) is crucial in decision-making and strategizing in today's data-driven business environment. This capstone project explores the utilization of Tableau, a leading data visualization tool, to enhance BI capabilities within an organization. The project will showcase how Tableau can convert raw data into actionable insights, enabling informed decision-making. 

This project begins by identifying key business objectives and data sources relevant to the organization's operations. You will learn about data cleaning and preparation processes to ensure data accuracy and consistency. You will use Tableau's visualization capabilities, interactive dashboards, and stories to showcase important KPIs, trends, and patterns within the data. 

By the end of this capstone, you'll be able to design the interactive dashboard and create an engaging story suitable to present to stakeholders.

Upon completion of the course, you will have gained several Tableau business intelligence skills to include in your portfolio.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""143632558""]","[""SkillUp""]",ADVANCED,Tableau Capstone Project ,"[""829""]",http://coursera-university-assets.s3.amazonaws.com/76/d1d1d11d24421cbdf919d276978e10/SkillUp-Logo-200X48.png,"[""SkillUp""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/df/4e3a99cc73409e9390fb8bd30b49c2/1200x1200_TCP.jpg,"[""en""]","[""child~AxzFoh2DQMO41wXpC1X7AQ""]",tableau-capstone-project,[],"3 weeks of study, 2-3 hours/week",GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",boJ0UNZ7EfCaiQ63GMq3UQ,v2.ondemand,"""Production Deep Learning: Inference, Quantization & Edge Deployment is designed for ML engineers and developers who want to master the full deployment lifecycle — from compressing and quantizing models to serving them at scale using vLLM, Triton, ONNX, and Llama.cpp.

Module 1 covers model compression fundamentals, including pruning, distillation, and INT8/INT4 quantization using AWQ and GPTQ, with a focus on the accuracy–latency tradeoff.

Module 2 dives into high-throughput serving architectures, exploring vLLM's PagedAttention, NVIDIA Triton, TensorRT, and scaling inference across GPU clusters with autoscaling patterns.

Module 3 focuses on CPU and edge deployment using ONNX Runtime, GGUF, and Llama.cpp, plus multimodal inference with CLIP and LLaVA on resource-constrained devices.

Module 4 is a capstone project where you'll quantize a fine-tuned LLM, build a production API with vLLM, benchmark performance, and containerize your model with Docker for cloud and edge deployment.

By the end of this course, you will:
- Apply INT4/INT8 quantization techniques (AWQ, GPTQ, GGUF) to compress LLMs for production
- Deploy high-throughput inference servers using vLLM, Triton, and ONNX Runtime
- Run optimized models on GPU, CPU, and edge devices using Llama.cpp and TensorRT
- Build, benchmark, and containerize an end-to-end production-ready inference API""

Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""128073001""]","[""Board Infinity""]",ADVANCED,"Deploying Deep Learning: Quantization, Serving, and Edge AI","[""1401""]",http://coursera-university-assets.s3.amazonaws.com/9c/33258d6efd440aa6a523829de9a182/BI-svg.png,"[""Board Infinity ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/eb/0239a6f13b4d3da6c835224a94c4ce/Production-DL-Inference-Quantization-Edge.png,"[""en""]","[""zVbdRm1ESr6f7W4lj1Al-w""]",deploying-deep-learning-quantization-serving-and-edge-ai,[],"4 weeks of study, 5–6 hours/week",GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",O3t-aJvgEeqovwoNHSIRrQ,v2.ondemand,"In this 1-hour long project-based course, you will gain hands-on experience and learn about advanced SQL topics such as stored procedures, tiggers, functions, common table expressions and recursion. If you have intermediate level of experience with SQL and want to learn more, this course is for you!

Note: This is an advanced level course. Taking my course ""Introduction to Relational Database and SQL"" and ""Intermediate Relational Database and SQL"" before taking this course is highly recommended. Especially if you do not have any previous experience with relational database and SQL.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""49899246""]","[""Harrison Kong""]",ADVANCED,Advanced Relational Database and SQL,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/51/5efe06559f4471bc5b2f052dd9219a/c7_Coursera-Originals_-Data-Science-Essentials-Toolkit_CertCard.png,"[""en""]","[""N1QZgOyaR0O-2S6RAnZazA""]",advanced-rdb-sql,[],1.5 hours,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert""]",BuEcaRyLEeuRUwqSen6L6Q,v2.ondemand,"Este proyecto es un curso práctico y efectivo para aprender a utilizar la herramienta de Azure Data Factory desde cero. Aprenderás, de manera practica y efectiva a generar pipelines en Data Factory y a utilizar los recursos necesarios de Azure.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""46454754""]","[""Leire Ahedo""]",ADVANCED,Introducción a Azure Data Factory para Big Data,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f0/85a4f0560445988266b1625c6d9016/imagenPortada.jpg,"[""es""]",[],introduccion-azure-data-factory-big-data,[],2 horas,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",6aiDCzSsEfGOlwr_5Xi1SQ,v2.ondemand,"This course develops the communication and consulting skills needed to translate analytics into action. You'll learn how to present insights clearly, engage stakeholders, deliver empathic feedback, and persuade leaders using data.
You'll begin by practicing data storytelling techniques tailored to non-technical audiences. The course then introduces consulting approaches for scoping analytics requests and collaborating with business partners. You'll also explore empathic communication strategies that improve stakeholder engagement.
You’ll practice building evidence-based presentations and crafting recommendations supported by analytics. The course culminates in a project where you develop an executive-level presentation using workforce data.
This course is designed for professionals who want to move beyond analysis and influence decisions using people analytics.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""185939614""]","[""Professionals from the Industry""]",ADVANCED,Communication & Consulting,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f3/b148b8ba9144d2bf696450792e91c6/Picture2.png,"[""en""]","[""S1KT8aoRRz-szh2lPOYt_A""]",communication-and-consulting,[],60-90 minutes/week,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",jePYuqWtEfC7FAr_15dkeQ,v2.ondemand,"Stop letting manual deployments create bottlenecks and introduce risk. Automate, Evaluate and Deploy ML Models Confidently is a hands-on course designed for ML engineers and data scientists ready to master production-grade MLOps. You will move beyond chasing simple accuracy scores and learn to make sophisticated, data-driven decisions by analyzing hyperparameter optimization trials from Optuna, expertly balancing technical performance with critical business KPIs like inference cost and latency.

The core of this course is building a complete CI/CD pipeline from the ground up using GitHub Actions. You will integrate MLflow for end-to-end experiment tracking and reproducibility, and implement crucial validation gates that automatically prevent underperforming models from ever reaching production. You will leave this course with a portfolio-ready project that proves you can build, manage, and deploy reliable, automated, and scalable machine learning systems with confidence, bridging the critical gap between experimentation and real-world value. Upon completion, learners are encouraged to deepen their expertise with the ""MLOps Specialization"" or explore advanced model techniques in the ""Deep Learning Specialization"".","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""199677978""]","[""LearningMate""]",ADVANCED,"Automate, Evaluate and Deploy ML Models Confidently","[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b8/8dd33f3621460bb5f2888965bd321d/CON-02674_img_courselogo.png,"[""en""]","[""94uu7Qv_Tx2lcmcTBi_q2Q""]",automate-evaluate-and-deploy-ml-models-confidently,[],Approximately 150 minutes,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",R1RaXyKjEfGnwQ4XKEaGEQ,v2.ondemand,"Build the ability to design, measure, and optimize brand strategy using AI and data-driven insights. In this capstone course, you’ll learn how to combine creative brand thinking with analytics, predictive models, and real-time measurement. Using practical tools like ChatGPT, Jasper, Power BI, and Google Data Studio, you’ll work on real-world use cases to create an AI-powered brand performance dashboard and a strategic data story. This course focuses on applied learning and is ideal for learners ready to move from intuition-led branding to evidence-based decision-making.

To begin with, Module 1 introduces AI fundamentals for branding, covering key technologies, real-world applications, and ethical considerations in AI-driven brand decisions.
In Module 2, you’ll focus on data-driven brand insights by collecting, cleaning, and analyzing brand data, including sentiment analysis, audience clustering, and brand health metrics.
Module 3 explores AI-powered optimization, where you’ll apply predictive analytics, personalization, automation, and A/B testing to refine brand strategies in real time.
Finally, Module 4 brings everything together in a capstone project, guiding you to design, visualize, and present a professional AI-driven brand dashboard and strategy report.

By the end of this course, you will:

-Integrate AI and analytics into end-to-end brand strategy design

-Measure brand health using sentiment, equity, and predictive metrics

-Build interactive brand performance dashboards using industry tools

-Present a clear, data-supported brand strategy suitable for leadership and portfolios

Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""128073001""]","[""Board Infinity""]",ADVANCED,AI-Powered Brand Strategy & Marketing Analytics,"[""1401""]",http://coursera-university-assets.s3.amazonaws.com/9c/33258d6efd440aa6a523829de9a182/BI-svg.png,"[""Board Infinity ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/63/babe4689764c429333a100abbc02f9/AI-Powered-Brand-Strategy-and-Measurement-.png,"[""en""]","[""nB17F57yS3yrnWZXTdZqdA""]",ai-powered-brand-strategy-marketing-analytics,[],"4 weeks of study, 4–6 hours/week",GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",upp7TBxnEe-Ojg4Sufxjbw,v2.ondemand,"Linear regression analysis is critical for understanding and defining the strength of the relationship between variables. This analysis can be used to make predictions for a variable given the value of another known variable.

This course provides an overview of linear regression. You will learn how linear regression works, how to build effective linear regression models and how to use and interpret the information these models give us. In addition to the theory, we will perform linear regression on real data using both Excel and Python. The practical cases you will work through will be similar to those you might encounter in a business setting.

Upon completing this course, you will be able to:
•	Define linear regression and its applications
•	Perform simple “pen and paper” regression calculations in Excel
•	Apply Excel’s RegressIt plugin to solve advanced regression calculations
•	Construct linear regression models in Python using both statsmodels and sklearn modules
•	Explain the implicit assumptions behind linear regression
•	Interpret regression outputs such as coefficients and p-values
•	Recommend various regression techniques when appropriate

Regression is the critical tool used for making inferences or predictions based on the relationships between variables. Whether you’re working as a business leader or data analyst, the theory and practical toolsets taught in this course will serve you throughout your career. No background in coding with Python is required for this course.

Common career paths for students who take the BIDA™ program are Business Intelligence, Asset Management, Data Analyst, Quantitative Analyst, and other finance careers.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""144114998""]","[""CFI (Corporate Finance Institute)""]",ADVANCED,Regression Analysis - Fundamentals & Practical Applications,"[""1659""]",http://coursera-university-assets.s3.amazonaws.com/bd/60fd0770384ff3a345d1f001c483e9/Wide-Logo-for-Marketing-Purposes-200x48px.png,"[""Corporate Finance Institute""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bd/90776371b546a6aa83a3b21a82b527/Union-Mark_navy-large.png,"[""en""]","[""child~IsmUUZUeSf--vd5Vj1inyg""]",regression-analysis-fundamentals-and-practical-applications,[],,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",q2v1cAdNEe-knBIDDnXmpw,v2.ondemand,"This course will help you solve and answer common business questions by using Table Calculations in Tableau.

With each scenario requiring a different function, you’ll learn to think on your feet and work with common problems. In total, you’ll work your way through 10 different scenarios and learn to use best practice, conditions, parameters and visual formatting to present these advanced metrics with absolute clarity.

Table Calculations form the perfect next step after Tableau Fundamentals and should be completed before Tableau Level of Detail Calculations.

By the end of the course, you'll be able to:
•	Understand what table calculations are what problems they can solve.
•	Calculate table calculations to help compare values across a full visual.
•	Learn best practice for implementing table calculations.
•	Learn how to use table calculations filters to hide data points from visuals.
•	Identify why Table Calculations are not ideal for Year over Year calculations.
•	Enhance visuals with conditional formulas, parameters and formatting.

This course is perfect for any analyst with a basic working knowledge of Tableau that wants to explore more advanced metrics, visuals and answer common business questions.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""144114998""]","[""CFI (Corporate Finance Institute)""]",ADVANCED,Advanced Tableau - Table Calculations,"[""1659""]",http://coursera-university-assets.s3.amazonaws.com/bd/60fd0770384ff3a345d1f001c483e9/Wide-Logo-for-Marketing-Purposes-200x48px.png,"[""Corporate Finance Institute""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bd/90776371b546a6aa83a3b21a82b527/Union-Mark_navy-large.png,"[""en""]","[""FLy-fOLlQ2auYW-Tay7VEA""]",advanced-tableau-table-calculations,[],,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",-XDgQSfIEe2GwRLfSI7mvQ,v2.ondemand,"This is the fifth course in the Google Advanced Data Analytics Certificate. In this course, you’ll learn about machine learning, which uses algorithms and statistics to teach computer systems to discover patterns in data. Data professionals use machine learning to help analyze large amounts of data, solve complex problems, and make accurate predictions. You’ll focus on the two main types of machine learning: supervised and unsupervised. You'll learn how to apply different machine learning models to business problems and become familiar with specific models such as Naive Bayes, decision tree, random forest, and more.  

Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. 

Learners who complete the eight courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate.  

By the end of this course, you will:
-Apply feature engineering techniques using Python
-Construct a Naive Bayes model
-Describe how unsupervised learning differs from supervised learning
-Code a K-means algorithm in Python 
-Evaluate and optimize the results of K-means model
-Explore decision tree models, how they work, and their advantages over other types of supervised machine learning
-Characterize bagging in machine learning, specifically for random forest models 
-Distinguish boosting in machine learning, specifically for XGBoost models 
-Explain tuning model parameters and how they affect performance and evaluation metrics","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""82360329""]","[""Google Career Certificates""]",ADVANCED,The Nuts and Bolts of Machine Learning,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/68/047951cfef4e138d5e2642e863433b/GCC-Coursera-thumbnail-ADA-nuts-and-bolts-susheela.png,"[""en""]","[""child~i3pfIKZ3QmiFAtOZd-mWXA"", ""uVmPF61wEe2ACwpBiZpBew""]",the-nuts-and-bolts-of-machine-learning,[],,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",UserR8ChEfCO4w7ldqMMfQ,v2.ondemand,"Memory inefficiencies cause 40% of Java ML application performance problems, making optimization critical for production systems. This course equips Java developers to build memory-efficient ML systems through hands-on profiling with Java Flight Recorder and systematic optimization of collections and JVM settings. You'll diagnose bottlenecks using heap analysis, optimize pipelines by replacing inefficient structures like LinkedList with ArrayDeque, and tune garbage collectors for low-latency inference. This course eliminates memory bottlenecks, degrading ML production systems. With hands-on labs, you will simulate production scenarios, including GC pause analysis and container optimization.

This course is for Java developers, ML engineers, and backend professionals looking to boost performance, reduce latency, and optimize memory in production ML systems.

Learners should know Java, JVM basics, and collections, with command-line skills and familiarity with ML pipelines and build tools like Maven or Gradle.

By course completion, you'll identify allocation hotspots, reduce GC overhead by 30%+, configure JVM for sub-100ms latency, and deploy optimized containerized ML services.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""169872100"", ""141793623""]","[""Aseem Singhal"", ""Starweaver""]",ADVANCED,Optimize Java Memory for ML Performance,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0c/dfb6b0205f4826871680b47bc4e974/Thumbnail-1200x1200px-Optimize-Java-Memory-for-ML-Performance.png,"[""en""]","[""iIJOJa-_T4ihIpEnHZV9hQ""]",optimize-java-memory-for-ml-performance,[],75 Mins,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",BwuL5JwaEeigWgp_hi6FmA,v2.ondemand,"In this course, we dive into the components and best practices of building high-performing ML systems in production environments. We cover some of the most common considerations behind building these systems, e.g. static training, dynamic training, static inference, dynamic inference, distributed TensorFlow, and TPUs. This course is devoted to exploring the characteristics that make for a good ML system beyond its ability to make good predictions.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,Production Machine Learning Systems,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/db/fe3330c66b11e8af05e72e81831a46/adv-ml-gcp-3x.png,"[""en""]","[""child~Vb6_2lrOTEu-YhqY2H4j5Q"", ""child~sA-5ClqkEe2w_w4kwSRnwQ""]",gcp-production-ml-systems,[],5 - 7 hours per week,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",BFgsk9TiEfCbngr_8AODCQ,v2.ondemand,"Ready to take your SQL skills beyond basic queries? This course transforms intermediate SQL developers into advanced database engineers who can automate deployments, debug complex issues, and build reusable solutions.

This Short Course was created to help data management and engineering professionals accomplish enterprise-level database automation and customization.

By completing this course, you'll master CI/CD database deployment pipelines, systematic error handling with TRY-CATCH blocks, and custom function development. You'll apply these skills to real scenarios like Flyway migrations, production debugging workflows, and Python UDF creation in Snowflake.

This course is unique because it bridges the gap between traditional SQL development and modern DevOps practices, giving you the practical skills to build robust, maintainable database systems.

To be successful in this project, you should have a background in intermediate SQL, database development experience, and familiarity with version control systems.""","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""193200302""]","[""Hurix Digital""]",ADVANCED,"Automate, Debug, and Customize SQL Databases","[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8f/bbb037ada94a9993382f6500bd307b/Logo-Image-1200-X-1200.png,"[""en""]","[""CsUOSsL0S5KwqG7mGdzkNQ"", ""Pyr7O9aMQBWXNrFOgSYhLw""]",automate-debug-and-customize-sql-databases,[],165 minutes,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert""]",Z5QGjebFEeiEIQ49LpTH1g,v2.ondemand,"This course offers a rigorous mathematical survey of advanced topics in causal inference at the Master’s level.

Inferences about causation are of great importance in science, medicine, policy, and business.  This course provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships.  

We will study advanced topics in causal inference, including mediation, principal stratification, longitudinal causal inference, regression discontinuity, interference, and fixed effects models.","[{""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""36507528""]","[""Michael E. Sobel""]",ADVANCED,Causal Inference  2,"[""40""]",http://coursera-university-assets.s3.amazonaws.com/aa/5bd170463311e7b9aab976f3e51f91/286OfficialColumbiaLogo.png,"[""Columbia University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3c/819800106811e990971f3846edeca3/logo-100x100-02.png,"[""en""]",[],causal-inference-2,[],"5 weeks of study, 2-5 hours per week",GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",An9wUtZxEfCnowr_9u7amw,v2.ondemand,"Ready to unlock the true potential of your enterprise data infrastructure? This comprehensive course transforms you into a data optimization expert who can tackle the most challenging data engineering scenarios at scale.

This Short Course was created to help data management and engineering professionals accomplish systematic data transformation, intelligent performance optimization, and strategic architecture migration decisions.

By completing this course, you'll master the critical skills to convert massive volumes of semi-structured JSON data into queryable formats, analyze complex workload patterns to recommend optimal partitioning and clustering strategies, and conduct rigorous performance evaluations that guide million-dollar migration decisions. You'll emerge with the expertise to transform raw data chaos into streamlined, high-performance systems that power enterprise analytics.

By the end of this course, you will be able to:
Apply batch processing techniques to transform semi-structured JSON data into typed, queryable fields at enterprise scale
Analyze workload patterns systematically to propose data partitioning and clustering keys that dramatically improve query performance
Evaluate columnar and row-store processing performance comprehensively to recommend data-driven migration strategies

This course is unique because it bridges the gap between theoretical database concepts and real-world enterprise implementation challenges, providing hands-on experience with the exact scenarios data engineers face when optimizing production systems.

To be successful in this project, you should have experience with SQL, database concepts, and basic understanding of data architectures and performance monitoring tools.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""193200302""]","[""Hurix Digital""]",ADVANCED,"Transform, Analyze, and Optimize Your Data","[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1f/3fc8a11d664c0ebeaf2e1c7fd54fc9/Logo-Image-1200-X-1200.png,"[""en""]","[""CUN1la1hSci5Ubu-2zpsMg"", ""hAEQk4UzQkWRISf2z3-kwA"", ""xwaxpbe8TtuL4et-Ovg1aQ""]",transform-analyze-and-optimize-your-data,[],170 minutes,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",LsMF0rxtEei1aQ5Zl9xCuA,v2.ondemand,"In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.

This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,Recommendation Systems on Google Cloud,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ab/8c0ea0bc6d11e8bb1fbf678b061c16/adv-ml-gcp-3x.png,"[""en""]","[""child~sA-5ClqkEe2w_w4kwSRnwQ""]",recommendation-models-gcp,[],"2 weeks of study, 6 - 8 hours per week",GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert""]",R7_RBwkcEey5zQ4LqE3elQ,v2.ondemand,"Welcome to this project-based course SQL Window Functions for Analytics. This is a hands-on project that will help SQL users use window functions extensively for database insights. In this project, you will learn how to explore and query the project-db database extensively. We will start this hands-on project by retrieving the data in the table in the database.
By the end of this 2-hour-and-a-half-long project, you will be able to use different window functions to retrieve the desired result from a database. In this project, you will learn how to use SQL window functions like ROW_NUMBER(), RANK(), DENSE_RANK(), NTILE(), and LAST_VALUE() to manipulate data in the project-db database. Also, we will consider how to use aggregate window functions. These window functions will be used together with the OVER() clause to query this database. By extension, we will use grouping functions like GROUPING SETS(), ROLLUP(), and CUBE() to retrieve sublevel and grand totals.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""40353561""]","[""Arimoro Olayinka Imisioluwa""]",ADVANCED,SQL Window Functions for Analytics,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/21/1f38520e084993b4c85b31f7eb7e29/logo2.png,"[""en""]",[],sql-window-functions-for-analytics,[],2 hours,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",Uq3s_TkzEe-9Ig7qA4dB5w,v2.ondemand,"This course will help you to prepare for the Tableau Certified Data Analyst exam. 

You will learn about strategies for taking the Tableau Certified Data Analyst exam and explore key study resources to help you pass the exam. You will also be able to take practice and graded quizzes based on exam topics. 

By the end of this course, you will be well-prepared to pass the Tableau Certified Data Analyst exam, making you a valuable asset in any data-driven organization.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""143632558"", ""140809228""]","[""SkillUp"", ""Shubhra Das""]",ADVANCED,Practice Exam for Tableau Certified Data Analyst,"[""829""]",http://coursera-university-assets.s3.amazonaws.com/76/d1d1d11d24421cbdf919d276978e10/SkillUp-Logo-200X48.png,"[""SkillUp""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4e/fe049f28ad43a4b302c6c61608f4c3/Practice-Exam-for-Tableau-Logo-2.png,"[""en""]","[""child~AxzFoh2DQMO41wXpC1X7AQ""]",practice-exam-for-tableau-certified-data-analyst,[],"2 weeks, 2–3 hours per week",GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",YZzx6QjfEfC6EhJcncb--Q,v2.ondemand,"This is a technical, hands-on course that teaches you how to implement DevOps best practices to build data pipelines, and how to implement observability to maintain and monitor data pipeline health. The course focuses on the most practical Snowflake concepts, features, and tools to get you up and running quickly with these concepts.

You'll start by learning about DevOps, DevOps practices, and how DevOps fits into the context of data engineering. You'll incorporate source control, declarative management of database objects, continuous delivery, and use a command-line interface to implement DevOps best practices into a data pipeline. You'll specifically learn how to:

- Use Snowflake's git integration to add source control to your data pipeline

- Use GitHub for team-wide collaboration on your data pipeline

- Use CREATE OR ALTER to declaratively manage database objects

- Use GitHub Actions to implement continuous delivery for your pipeline

- Use Snowflake CLI to deploy changes into dedicated data environments

You'll also learn about observability, and how to implement it to maintain and monitor the health and performance of your data pipeline. You'll specifically learn how to:

- Use logs to keep a record of events that occur within your pipeline

- Use traces to maintain a detailed journey of events for operations in your pipeline

- Use alerts to monitor for specific conditions in your pipeline, and combine them with notifications to encourage action among team members if critical errors occur in the pipeline

Throughout the course, you'll follow along with the instructor using a combination of Snowflake, Visual Studio Code, GitHub, and the command line. The course is supplemented with readings containing resources to level up your understanding of specific concepts.

You'll come away understanding how to incorporate DevOps best practices into data pipelines, and how to use observability to monitor the health and performance of pipelines.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""155311909""]","[""Snowflake Northstar""]",ADVANCED,Advanced Data Engineering with Snowflake,"[""1804""]",http://coursera-university-assets.s3.amazonaws.com/ca/06c9de526e4ed58f98cbe8b186d7db/Snowflake-Logo-200x48.png,"[""Snowflake""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/38/37d8b1581545ea964341ec318f9735/Course-Logo-1200x1200-Advanced-Data-Engineering.png,"[""en""]","[""USSMgq0lRQeAK81HL5OGLg""]",advanced-data-engineering-with-snowflake,[],1 - 4 Weeks,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",u9ZzStEUEfCc9RKyHVG0sQ,v2.ondemand,"Database failures can cost enterprises millions of dollars per hour, while poor capacity planning leads to unexpected outages and budget overruns. This Short Course was created to help data engineering professionals accomplish advanced database administration that ensures both reliability and optimal performance.  

By completing this course, you'll be able to implement bulletproof backup validation systems, quickly diagnose and resolve database performance issues that plague high-concurrency applications, and create accurate capacity forecasts that prevent infrastructure surprises.

By the end of this course, you will be able to:
- Apply automated backup and restore procedures with checksum verification
- Analyze database performance to diagnose and resolve lock contention
- Evaluate growth trends to produce capacity-planning forecasts

This course is unique because it combines hands-on automation with real-world troubleshooting scenarios that mirror actual production environments.

To be successful in this project, you should have a background in SQL fundamentals, database concepts, and basic system administration.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""193200302""]","[""Hurix Digital""]",ADVANCED,"Automate, Analyze, and Database Administration","[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d4/24e0eb844d41949e7c344050dcdf24/Logo-Image-1200-X-1200.png,"[""en""]","[""Pyr7O9aMQBWXNrFOgSYhLw"", ""pHpU1cXITy68fX7tANxqLg""]",automate-analyze-and-database-administration,[],161 minutes,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",rXWpoRttEfC5wQ7Ux-t3bw,v2.ondemand,"This course is designed to provide a comprehensive foundation in Azure Machine Learning, equipping learners with essential skills for managing ML workflows within the Azure ML workspace. Participants will begin by understanding core workspace fundamentals, including environment setup, resource management, and key components for ML experimentation. The course progresses to advanced concepts such as optimizing compute resources, managing datasets effectively, and configuring high-performance ML pipelines.
Learners will gain expertise in scaling ML workloads, fine-tuning data storage strategies, and applying best practices for secure and efficient model deployment. Additionally, the course covers advanced data and compute management techniques to enhance ML operations (MLOps) and ensure seamless integration with Azure services.
This course is structured into multiple modules, each featuring lessons and video lectures that provide theoretical insights and hands-on practice. Participants will engage with approximately 3:00–4:00 hours of instructional content, ensuring both conceptual understanding and practical application. To reinforce learning, graded and ungraded assignments are included within each module to test the ability of learners in real-world scenarios.
Module 1: Experiment with Azure Machine Learning
Module 2: Deploying, Consuming, Managing, and Evaluating Models with Azure Machine Learning

By the end of this course, a learner will be able to
Explore the process of registering, logging, and deploying MLflow models
Understand and implement Responsible AI practices
Understand the fundamentals of AutoML in Azure
Learn about different machine learning algorithms and tasks
Master how to interpret AutoML job results, ensuring success and optimizing model performance.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""126164860""]","[""Whizlabs Instructor""]",ADVANCED,"Azure ML: Deploying, Managing, and Experimenting with Models","[""1403""]",http://coursera-university-assets.s3.amazonaws.com/6e/450ebe44084f93a932de58d602aef0/Whizlabs-Logo-200-x-48-px-.png,"[""Whizlabs""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5c/945aec6a464126845faea79f85a388/1024x1024.png,"[""en""]","[""pKmcvF7YTLOptGjcrQvh6Q""]",azure-ml-deploying-managing-and-experimenting-with-models,[],,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert""]",I6SdS4z5Ee64ThKbQraZ2w,v2.ondemand,"Dans ce cours, nous abordons en détail les composants et les bonnes pratiques de construction de systèmes de ML hautes performances dans des environnements de production. Nous verrons aussi certaines des considérations les plus courantes concernant la construction de ces systèmes, telles que l'entraînement statique, l'entraînement dynamique, l'inférence statique, l'inférence dynamique, les tâches TensorFlow distribuées et les TPU. Ce cours a pour objectif d'explorer les caractéristiques d'un bon système de ML, au-delà de sa capacité à effectuer des prédictions correctes.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,Production Machine Learning Systems - Français,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/89/3b9c6643414ce4841438b9d3c70739/GFX_Coursera_Asset_Full_1200x1200.png,"[""fr""]",[],gcp-production-ml-systems-fr,[],5 - 7 hours per week,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert""]",XezNBXPOEeys9RJMWW48Yw,v2.ondemand,"In this 2-hour long guided-project course, you will learn how to implement a Siamese Network, you will train the network with the Triplet loss function. You will create Anchor, Positive and Negative image dataset, which will be the inputs of triplet loss function, through which the network will learn feature embeddings. Siamese Network have plethora of applications such as face recognition, signature checking, person re-identification, etc. In this project, you will train a simple Siamese Network for person re-identification.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""42281109""]","[""Parth Dhameliya""]",ADVANCED,Deep Learning with PyTorch : Siamese Network,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2d/7ca1db8d6644ce815f23f3736b056e/siamese-network.png,"[""en""]",[],deep-learning-with-pytorch-siamese-network,[],2 hours,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",n0CSZi0tEeykCg4HPggu6Q,v2.ondemand,"En esta última parte de la serie de cursos de Dataflow, presentaremos los componentes del modelo operativo de Dataflow. Examinaremos las herramientas y técnicas que permiten solucionar problemas y optimizar el rendimiento de las canalizaciones. Luego, revisaremos las prácticas recomendadas de las pruebas, la implementación y la confiabilidad en relación con las canalizaciones de Dataflow. Concluiremos con una revisión de las plantillas, que facilitan el ajuste de escala de las canalizaciones de Dataflow para organizaciones con cientos de usuarios. Estas clases asegurarán que su plataforma de datos sea estable y resiliente ante circunstancias inesperadas.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,Serverless Data Processing with Dataflow: Operations en Español,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/56/8184123f744c5186f605016ba2914b/logo.jpeg,"[""es""]","[""soXZ_i0sEey5VQ4AdJWHJQ""]",serverless-data-processing-with-dataflow-operations-es,[],"3 weeks of study, 6-8 hours/week",GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert""]",bytwEJAEEe27txLr-Ic_7Q,v2.ondemand,"This is a self-paced lab that takes place in the Google Cloud console. Learn how to deploy SingleStore DB, combine it with cloud native products like Pub/Sub, Dataflow and Cloud Storage, and interact with SingleStore once the data is ingested.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,SingleStore on Google Cloud,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/88/4839c0b39047718a8024be9b7b43e3/Logo-Image_GC-Projects.png,"[""en""]",[],googlecloud-singlestore-on-google-cloud-vjw9r,[],90 minutes,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert""]",6XIw1aktEeyjPxJkzIUqCw,v2.ondemand,"This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use GCP services to help graph trades, volume, and time delta from trade execution to see any patterns in the high volatility of the cryptocurrency market.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,Tracking Cryptocurrency Exchange Trades with Google Cloud Platform in Real-Time,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/24/5de69581474817948a44a7bfc3d3c8/Logo-Image_GC-Projects.png,"[""en""]",[],googlecloud-tracking-cryptocurrency-exchange-trades-with-google-cloud-plat-eneyt,[],1 hour,GCv12ouWWJcGF6xia,MfTad2HhUSNYUNm6C
[],"[""VerifiedCert"", ""Specialization""]",cnH04NsNEeqZLA7SXwAABQ,v2.ondemand,This specialization offers the latest developments in blockchain technology through a highly engaging learning experience with animated video components and intuitive course flow to maximize your knowledge retention.,"[{""subdomainId"": ""security"", ""domainId"": ""information-technology""}]","[""38900624""]","[""AICPA ""]",BEGINNER,Blockchain Evolution and Technology Concepts,"[""546""]",http://coursera-university-assets.s3.amazonaws.com/25/c95f4001394f638c5ef7a60a7690e7/AICPA_CIMA_Tagline2.png,"[""Association of International Certified Professional Accountants""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/df/56ac3dde26476d948b85450279cc1b/Association_symbol.jpg,"[""en""]","[""child~ALsL2QT8EeuqSAr3Dxxoqw""]",blockchain-evolution-and-technology-concepts,[],,MQTFDZUiWKBRqc0GO,fJ7iQwcoureHvBmcE
[],"[""VerifiedCert"", ""Specialization""]",gMjP_zQuEfGBnQ58UPJrCw,v2.ondemand,"Learn Rust from the ground up — the systems language that gives you C-level speed without the footguns and Python-level safety without a garbage collector. This course starts with `rustup`, `cargo`, and your first `Hello, world!`, then builds through the ideas that make Rust distinctive: ownership, borrowing, and the borrow checker. You will master move semantics, the `Copy` and `Clone` traits, and how Rust prevents dangling references at compile time. You will handle errors with `Option<T>`, `Result<T, E>`, and the `?` operator, and match them exhaustively with patterns and guards. Finally, you will write generic code with traits and lifetimes, organize programs with modules, and use closures and iterators to process data lazily and efficiently. Each lesson pairs transcripts with runnable Cargo examples grounded in the Rust compiler's own error messages. By the end, you will ship a capstone project that combines the course concepts into an end-to-end Rust program you can extend.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""150072726"", ""153532909""]","[""Noah Gift"", ""Liam Parker""]",BEGINNER,Rust From Zero,"[""4111""]",http://coursera-university-assets.s3.amazonaws.com/8d/195ff2d0044531b8aeb8613ac6c1b6/200x48-logo.png,"[""Pragmatic AI Labs""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2e/6b70021da4498b95fff05ef4b9bfeb/logo.png,"[""en""]","[""JlsYwb8YS7mhWBsn3mDMxg""]",rust,[],"4 weeks of study, 4-6 hours/week",MQTFDZUiWKBRqc0GO,fJ7iQwcoureHvBmcE
[],"[""VerifiedCert""]",z2hE2VfwEfCekhJDthqyWw,v2.ondemand,"In the modern business landscape, information represents the most valuable resource for organizations, with the majority of this critical data housed within digital relational database systems.

The overwhelming majority of database management platforms currently deployed across industries rely on SQL as their primary language for data manipulation and retrieval operations.

As a globally recognized standard, SQL empowers users to execute sophisticated data analysis and aggregation operations through an intuitive command structure that maximizes efficiency.

For professionals pursuing careers in data analytics, software development, or any field requiring database interaction capabilities, SQL proficiency serves as a fundamental prerequisite.

This comprehensive course will guide you through essential database management principles while providing hands-on experience with SQL implementation. Beginning with fundamental data retrieval techniques from single tables, you'll progress to advanced multi-table operations that enable comprehensive data analysis—all practiced using our cloud-based SQL simulation environment throughout your learning journey.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""185804203""]","[""Nacho Despujol""]",BEGINNER,Introduction to SQL and relational databases,"[""3603""]",http://coursera-university-assets.s3.amazonaws.com/84/66b4001040421498085b14ca9fa0cc/upv200.png,"[""Universitat Politècnica de València""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c8/ac3c3ceef54c03bbb18c4e40369adf/logo-cuadrado-coursera-SQL.png,"[""en""]",[],valencia-sandbox-2-,[],"5 weeks of study, 4 hours per week",MQTFDZUiWKBRqc0GO,fJ7iQwcoureHvBmcE
[],"[""VerifiedCert""]",tre-phoAEeyZ9BL8TB78QQ,v2.ondemand,"Imagine you're working in a large company and part of your job is to send reports to other departments about employee absence from work in the past month. Basically, it is a repetitive and boring manual task that repeats every month and takes a lot of your time. However, you can easily automate it with SharePoint and Power Automate!

In this beginner-level guided project ""Automize Monthly Report Creation with Power Automate"", we will create a SharePoint Site and a SharePoint list with data about employees' annual leave days, sick leave days or days off. All the data will be kept in one place. That data will help us to create the Monthly Employee Absence Report. The Power Automate flow will export data from the SharePoint list and save it in an Excel spreadsheet. Then we will send the table (the report) in an email as an Excel table.

The requirement for this project is having a Microsoft Developer Program account, and you will be provided with instructions on how to get it right here.

If you are ready to make your and your colleagues’ lives easier by starting to automate manual, time-consuming processes which are hard to track, then this project is for you! Let's get started!","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""78742722""]","[""Dora Hrvoj""]",BEGINNER,Automize Monthly Report Creation with Power Automate,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/06/ed43563a114c4da011527aaa0cfb9f/logo.png,"[""en""]",[],automize-monthly-report-creation-power-automate,[],90 minutes,MQTFDZUiWKBRqc0GO,fJ7iQwcoureHvBmcE
[],"[""VerifiedCert"", ""Specialization""]",O3LHo0QTEe-YIQr_7tz45w,v2.ondemand,"""User Interface Design: Principles, Prototyping, Practices"" is a comprehensive course designed to provide foundational knowledge and practical skills in UI design. This course covers essential topics including the principles of UI design, the workflow of prototyping, and best practices in creating visually appealing and user-friendly interfaces. Participants will learn through a combination of theoretical lessons and hands-on activities, gaining insights into user needs, prototyping techniques, and effective design strategies. 

Reflecting on an early project in my career, I remember the eye-opening challenge of designing an interface that users found confusing and difficult to navigate. This experience taught me the vital importance of intuitive design and has deeply influenced the way I approach UI projects, emphasizing clarity and user engagement above all. This course is built on those learnings, aiming to equip you with the ability to create intuitive and accessible user interfaces that enhance user experience. 

This course is designed for aspiring UI designers, graphic designers, product managers, marketing professionals, and educators who are eager to develop their skills in user interface design. Whether you are looking to start a career in UI design or enhance your current design capabilities, this course offers a comprehensive foundation that combines theoretical knowledge with practical applications. It is ideal for individuals who are passionate about creating visually appealing and user-friendly interfaces and want to stay ahead in the dynamic field of UI design.

Participants should have basic computer literacy, including comfort with file management, software installation, and internet navigation. Familiarity with web browsers and basic design software such as Adobe Photoshop, Sketch, or Figma is required, along with the ability to create and manipulate shapes, text, and layers. While an interest in user interface design is crucial, a basic understanding of UX concepts such as user research and user-centered design can further enrich the learning experience, though it is not mandatory.

By the end of this course, learners will be equipped to design interfaces that are not only functional but also delightful to interact with. Whether you are starting your journey in UI design or seeking to refine your existing skills, this course will provide you with a solid foundation and the necessary tools to succeed in the dynamic field of user interface design.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""149442492"", ""141793623""]","[""Karlis Zars"", ""Starweaver""]",BEGINNER,"User Interface Design: Principles, Prototyping, Practices","[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d7/c0b3010222457db23b3bd6361e067a/BATCH-6-1200X1200-1-.png,"[""en""]","[""hkLtwJTsRE-716LshZ9WAQ""]",user-interface-design-principles-prototyping-practices,[],1 Hour,MQTFDZUiWKBRqc0GO,fJ7iQwcoureHvBmcE
[],"[""VerifiedCert"", ""Specialization""]",_x6Jx2AfEfGI-wr_w-dMww,v2.ondemand,"This course explores the intricate domain of information systems management. You will gain insights into the strategic alignment of technology with organizational goals, emphasizing efficient utilization and optimization of information systems. From resource allocation to risk management and performance evaluation, you will gain insights into the multifaceted responsibilities of IS managers. You will also learn about fostering innovation, ensuring security, and driving digital transformation for sustained competitive advantage in today's dynamic business landscape.","[{""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""216235601""]","[""Pearson""]",BEGINNER,Information Systems Management,"[""1842""]",http://coursera-university-assets.s3.amazonaws.com/bd/ac7c3afaa849d7b51565de406969d4/PEARSON_LOGO_PURPLE_RGB.png,"[""Pearson""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/66/649b7acfeb49c18d7f01c136ebe619/Course-Logo.png,"[""en""]","[""IlgVYN46RUixbr2i1dAk2g""]",information-systems-management,[],,MQTFDZUiWKBRqc0GO,fJ7iQwcoureHvBmcE
[],"[""VerifiedCert"", ""Specialization""]",zbYVe_jqEeun7hIsOx7cIQ,v2.ondemand,"Course description:
ACA System Operator Certification Preparation Course is intended for individuals who have technical expertise in deployment, management and operations on Alibaba Cloud.
It’s recommended for System administrators with at least one year of experience in deployment, management, and operations on Alibaba Cloud.
ACA System Operator Certification is intended for individuals who have technical expertise in deployment, management, and operations on Alibaba Cloud. Certificate holders are certified to be capable of deploying, managing and operating scalable, highly available systems on Alibaba Cloud, selecting appropriate services on Alibaba Cloud knowing how to monitor, debugging and troubleshooting those service, utilizing Alibaba Cloud's operational best practices, migrating on-premises workloads to Alibaba Cloud and managing IT governance on the Cloud. To earn an official Alibaba Cloud certificate please find the register portal on Academy's website:
https://edu.alibabacloud.com/certification/aca_operator","[{""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""97866489""]","[""Yan""]",BEGINNER,Operate Alibaba Cloud Systems and Services,"[""627""]",http://coursera-university-assets.s3.amazonaws.com/cd/ef99247d6240e1b72247fa6aabf03f/Black-Logo.png,"[""Alibaba Cloud Academy""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/98/a024c81d7c45948aac38f772fbd372/System-Operator.png,"[""en""]","[""m2UaA1J4EeybIA70lAYYYw""]",alibaba-system-operator,[],"6 weeks of study, 5 hours a week",MQTFDZUiWKBRqc0GO,fJ7iQwcoureHvBmcE
[],"[""VerifiedCert"", ""Specialization""]",TDweemPuEfCA0Qr_wn9qKQ,v2.ondemand,"This course covers systems and application security. You'll explore the critical aspects of endpoint security, learning to build, install, and maintain security measures using technologies like TPM, IDS, IPS, and host-based firewalls. Gain insights into identifying and mitigating malicious code and social engineering attacks, equipping you with proactive strategies to safeguard systems. You'll learn about secure virtual environments, including hypervisors, containers, and virtual appliances to effectively manage virtualization technologies. You'll also learn about cloud security, including service deployment models and navigating legal and regulatory concerns. Additionally, the course covers Enterprise Mobility Management, focusing on mobile device security and provisioning techniques.","[{""subdomainId"": ""security"", ""domainId"": ""information-technology""}]","[""187262598""]","[""Pearson""]",BEGINNER,(SSCP) Systems Security Certified Practitioner: Unit 6,"[""1842""]",http://coursera-university-assets.s3.amazonaws.com/bd/ac7c3afaa849d7b51565de406969d4/PEARSON_LOGO_PURPLE_RGB.png,"[""Pearson""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a3/7d2703c3cb476a92b798cedfcbb5b7/CSRA_CVR_28.jpg,"[""en""]","[""vyp220f6QGyqlwcaqQUsfg""]",pearson-sscp-systems-security-certified-practitioner-complete-video-course-hxu9x,[],2 hours 15 minutes,MQTFDZUiWKBRqc0GO,fJ7iQwcoureHvBmcE
[],"[""VerifiedCert"", ""Specialization""]",Q-t361-8Ee-vHBLsSjPJnw,v2.ondemand,"Course 7 -  Systems and Application Security

This is the seventh course under the specialization SSCP.

This course discusses two major changes in recent years to how we use our data: going mobile and using the cloud. First, we use our data on the go by means of data services provided to our mobile phones, Wi-Fi, and other devices. Second, so many of the enhanced functions we take for granted in our daily personal and professional lives are made possible by cloud services, where our data is stored or processed.  

Course 7 Learning Objectives

After completing this course, the participant will be able to:  

- Classify different types of malware.  
- Determine how to implement malware countermeasures.  
- Identify various types of malicious activities.   
- Develop strategies for mitigating malicious activities.   
- Describe various social engineering methods used by attackers.   
- Explain the role of behavior analytics technologies in detecting and mitigating threats.   
- Explain the role and functionality of host-based intrusion prevention system (HIPS), host-based intrusion detection system (HIDS), and host-based firewalls.   
- Evaluate the benefits of application whitelisting in endpoint device security.   
- Explain the concept of endpoint encryption and its role in endpoint security.   
- Describe the role and functionality of Trusted Platform Module (TPM) technology in providing hardware-based security features.   
- Identify the steps in implementing secure browsing practices using digital certificates and secure communication protocols.   
- Explain the concept of endpoint detection and response (EDR) and its role in providing real-time monitoring, detection, investigation, and response capabilities to identify and mitigate advanced threats and security incidents on endpoint devices.   
- Identify provisioning techniques for mobile devices.   
- Explain the concept of containerization and how it contributes to effective mobile device management.   
- Explain how encryption contributes to effective mobile device management.   
- Describe the process of Mobile Application Management (MAM) to effectively manage the life cycle of mobile applications.   
- Distinguish among public, private, hybrid, and community deployment models in cloud security.   
- Distinguish among various service models and their impact on cloud security practices.   
- Describe virtualization technologies and their role in maintaining cloud security.   
- Identify legal and regulatory concerns related to cloud security.   
- Determine strategies to implement data storage, processing, and transmission while maintaining cloud security.   
- Explain the requirements and considerations associated with third-party services and outsourcing in cloud storage.   
- Explain the concept of the shared responsibility model in cloud storage.   
- Identify steps to manage and secure hypervisor environments.   
- Explain how to deploy, configure, and maintain virtual appliances within virtualized environments.   
- Determine the process for managing containerized environments.   
- Describe the best practices of storage management in virtualized environments.   
- Develop strategies for ensuring business continuity and resilience in virtualized environments.   
- Analyze potential threats and attacks targeting virtual environments. 

Who Should Take This Course: Beginners
Experience Required: No prior experience required","[{""subdomainId"": ""security"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""31081695""]","[""ISC2 Education & Training""]",BEGINNER,Systems and Application Security,"[""472""]",http://coursera-university-assets.s3.amazonaws.com/62/c9483cd3f64d5eb5dafe13ea7e73d6/isc2_logo.png,"[""ISC2""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/da/742510fea24088b5b69ae5dc8d2333/7262195397-SSCP-Domain-7---Systems-and-Application-Security.jpg,"[""en""]","[""child~At_phd9OTyiJPCXL5hPHzw""]",systems-and-application-security,[],,MQTFDZUiWKBRqc0GO,fJ7iQwcoureHvBmcE
[],"[""VerifiedCert"", ""Specialization""]",wXKHaKKgEe-N5wr_8TuRrQ,v2.ondemand,"Description: This course lays the groundwork for your Python programming journey. You'll learn essential Python syntax, data structures, and control flow, while practicing debugging and basic code optimization techniques.

Benefits: Gain a solid foundation in Python programming, enabling you to write clean, functional scripts and tackle common programming challenges.

By the end of this course, you'll be able to:

• Write basic Python programs using variables, data types, and operators.
• Implement conditional statements and loops to control program flow.
• Utilize functions and modules to write reusable and organized code.
• Manipulate data using lists, dictionaries, and other data structures.
• Debug code and handle errors effectively.
• Employ Git for version control and create a professional GitHub portfolio.

Tools/Software: Python, Jupyter Notebook, Git, GitHub

This course is for entry-Level professionals looking to build a foundational understanding and experience with Python, while seeking employment as a Python developer. No prior work experience or degree is required.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""56970540""]","["" Microsoft""]",BEGINNER,Python Programming Fundamentals,"[""705""]",http://coursera-university-assets.s3.amazonaws.com/73/8792b24ae547c1a582c33f7ea4d569/Microsoft-logo_rgb_200x43.png,"[""Microsoft""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/47/056fa11e8949ca807ad2b6040b0818/Image_1200x1200.png,"[""en""]","[""73SfxEbZTkqRkJsZSElEww"", ""Qv8HPWWTQg2I9Kz5r0owmw""]",microsoft-python-programming-fundamentals,[],,MQTFDZUiWKBRqc0GO,fJ7iQwcoureHvBmcE
[],"[""VerifiedCert"", ""Specialization""]",bitsBtaBEfC5ggr_52z1YQ,v2.ondemand,"Learners will configure Chef-based infrastructure, develop reusable cookbooks, automate cloud and database environments, and deploy a complete web application using industry-standard DevOps practices. They will analyze infrastructure requirements, implement configuration management workflows, and evaluate system stability using Chef tooling across local, standalone, and centralized models.

This course provides hands-on, project-driven learning focused on building an online college registration system from the ground up using Chef and AWS. Learners gain practical experience setting up Chef workstations, writing Ruby-based recipes, managing nodes, configuring databases, and automating Apache web servers. By progressing from local development to centralized Chef Server deployments, learners develop a strong understanding of real-world infrastructure automation pipelines.

What makes this course unique is its end-to-end project orientation—instead of isolated concepts, learners implement a complete production-style solution that mirrors enterprise DevOps environments. The course bridges the gap between theory and practice, making it ideal for aspiring DevOps engineers, system administrators, and cloud professionals seeking job-ready configuration management skills.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""136048342""]","[""EDUCBA""]",BEGINNER,Apply Chef to Automate Cloud Infrastructure Projects,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/81/797caeabde420e97f5a02afe51254a/125_1.png,"[""en""]","[""PoSm-CTCQlW5uHU5nx-nLg""]",apply-chef-automate-cloud-infrastructure-projects,[],,MQTFDZUiWKBRqc0GO,fJ7iQwcoureHvBmcE
[],"[""VerifiedCert"", ""Specialization""]",g53BEQwbEfGy6g4Nv59JMw,v2.ondemand,"Many analysts hit a ceiling when raster datasets outgrow their local machines. Processing slows down, memory runs out, and deadlines slip. This course gives you the practical skills to move past those limits by setting up cloud-based raster workflows on AWS.

You will launch and configure an EC2 instance with GDAL installed, run raster processing tasks both locally and in the cloud to compare performance, and store raster data in Amazon S3 using lifecycle policies to manage costs as datasets grow. Each topic pairs short videos and readings with hands-on activities where you do the actual work, coach-guided reflections that build analytical thinking, and practice quizzes to check your understanding. A final graded assessment validates your ability to apply these skills in realistic scenarios.

No prior AWS experience is required. By the end, you will be able to set up a cloud compute environment, evaluate when cloud processing is worth the investment, and design a storage strategy that balances accessibility with cost control.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""200011885""]","[""ansrsource instructors""]",BEGINNER,Scale in the Cloud,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/df/504d4b7e994537947a6d5351ae8846/Goran-Trajkovski_1.png,"[""en""]","[""1ah26rZkThuLb6tQLv1big""]",scale-in-the-cloud,[],,MQTFDZUiWKBRqc0GO,fJ7iQwcoureHvBmcE
[],"[""VerifiedCert"", ""Specialization""]",VOa8mGC1EfCA0Qr_wn9qKQ,v2.ondemand,"This course provides a comprehensive foundation for success in working with WLAN technology, making it ideal for anyone seeking to build practical skills in wireless networking. You’ll not only learn the essentials of RF technologies, such as frequencies and antenna types, but also discover how to address the real-world challenges encountered in diverse installation environments. What sets this course apart is its strong focus on security—a critical concern as wireless networks become frequent targets for sophisticated cyber threats like ransomware.

You’ll gain hands-on experience using common tools to assess Wi-Fi vulnerabilities and learn how to deploy advanced hardware and software solutions to protect your network. The course covers enterprise-grade security frameworks such as IEEE 802.1X, EAP authentication, and the latest WPA standards, ensuring you are prepared to secure both internal and guest access without compromising organizational integrity. By understanding the latest trends in attacks and insider threats, you’ll be equipped with the knowledge and skills to safeguard your wireless enterprise in today’s evolving threat landscape.","[{""domainId"": ""information-technology"", ""subdomainId"": ""networking""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""125413603""]","[""Mai Vang""]",BEGINNER,WLAN Security,"[""1512""]",http://coursera-university-assets.s3.amazonaws.com/c4/d8cdfd6e164548a32d1d4c61113c87/Cisco_Logo_200x48.png,"[""Cisco Learning and Certifications""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/11/32899891b64fcc93ece6237d5fb65e/WLFNDU-3.png,"[""en""]","[""0WKZnjwrRvmZVcrIXeabHQ""]",wlan-security,[],,MQTFDZUiWKBRqc0GO,fJ7iQwcoureHvBmcE
[],"[""VerifiedCert""]",yHvuv3ZLEei_sRJ3tviPRg,v2.ondemand,"Amazon famously delivers new code every 11.6 seconds. Just a few years ago, this was unthinkable: many ‘cutting edge’ firms would release software quarterly. When it comes to digital innovation, velocity is critical and many would say it’s the most reliable determinant of success. 

Bringing an organization to the state of the art (or even functional capability) in this area requires strong work in a combination of disciplines and a combination of both technical and managerial skills. There is no single cookie-cutter approach for achieving this capability. Much like agile, the right focus and formulation depends a lot on the facts and circumstances of the team. This course, developed at the Darden School of Business at the University of Virginia and taught by top-ranked faculty, will provide you with the interdisciplinary skill set to cultivate a continuous deployment capability in your organization. 

After completing this course, you will be able to: 
1. Diagnose a team’s delivery pipeline and bring forward prioritized recommendations to improve it
2. Explain the skill sets and roles involved in DevOps and how they contribute toward a continuous delivery capability
3. Review and deliver automation tests across the development stack
4. Explain the key jobs of system operations and how today’s leading techniques and tools apply to them
5. Explain how high-functioning teams use DevOps and related methods to reach a continuous delivery capability 
6. Facilitate prioritized, iterative team progress on improving a delivery pipeline","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""14054880""]","[""Alex Cowan""]",BEGINNER,Continuous Delivery & DevOps ,"[""18""]",http://coursera-university-assets.s3.amazonaws.com/0f/80aa19dc384a7482ea6f428601255d/uva_primary_rgb.png,"[""University of Virginia""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/eb/46cfd0765e11e89013f3b2ff3418d2/course-logo.png,"[""en""]",[],uva-darden-continous-delivery-devops,[],"3 weeks of study, 2-3 hours/week",MQTFDZUiWKBRqc0GO,fJ7iQwcoureHvBmcE
[],"[""VerifiedCert"", ""Specialization""]",f0qE9OfMEfCBng7SOo7rGQ,v2.ondemand,"Transform your email marketing success with data-driven list hygiene practices that boost engagement and deliverability. This Short Course was created to help marketing professionals accomplish systematic list cleaning and performance evaluation. By completing this course, you'll be able to identify and remove problematic contacts, apply industry-standard hygiene rules, and measure the impact of your optimization efforts.

By the end of this course, you will be able to:
Clean lists to remove redundancies, employing data hygiene practices for improved deliverability and engagement rates
Review deliverability KPIs to understand impact and adjust list-maintenance techniques as needed

This course is unique because it combines hands-on list cleaning techniques with data-driven evaluation methods, ensuring your hygiene efforts translate to measurable business results.

To be successful in this project, you should have a background in email marketing platforms and basic analytics interpretation.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""193200302""]","[""Hurix Digital""]",BEGINNER,Clean & Maintain Lists,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/03/c0e18c28d84ab7a49b6ba7f1bed555/Logo-Image-1200-X-1200.png,"[""en""]","[""Q3j_xz-0SpGn_FwkdPal6Q""]",clean--maintain-lists,[],90 minutes,MQTFDZUiWKBRqc0GO,fJ7iQwcoureHvBmcE
[],"[""VerifiedCert""]",ZoRf85v4Ee6OLRIoLG614w,v2.ondemand,"Welcome to the  'Generative AI in Fraud Detection Analytics' course, where you'll embark on a transformative journey to acquire practical expertise in generative AI for fraud prevention.

Throughout this course, you'll delve into the world of AI-driven fraud detection, mastering the fundamentals and exploring real-world applications. By the end of this course, you will be able to:

- Gain a comprehensive understanding of generative AI in fraud detection.
- Utilize generative AI techniques, especially the LSTM and GAN model, for practical email fraud 
 detection projects, strengthening the capacity to employ AI in real-world fraud prevention scenarios.
- Grasp the key concepts of generative AI's role in fraud detection, encompassing ethical considerations and best practices for data handling, establishing a strong foundation in AI-driven fraud analytics.

This course is tailored for learners from diverse backgrounds, including data scientists, fraud analysts, AI enthusiasts, and professionals aiming to enhance their skills in fraud analytics. Prior experience in AI and fraud detection is beneficial but not required.

Embark on this educational journey to master Generative AI for Fraud Detection Analytics and elevate your expertise in fraud prevention.","[{""subdomainId"": ""security"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""136285326""]","[""Edureka""]",BEGINNER,Gen AI for Fraud Detection Analytics,"[""1504""]",http://coursera-university-assets.s3.amazonaws.com/f7/2ebf8f1160497eba54141ca7951ff0/Wide-Logo-for-Marketing-Purposes.png,"[""Edureka""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d8/bebd90e0c44155995fc155d3ed3a36/Logo_Gen-AI-for-Fraud-Detection-Analytics-1-.jpg,"[""en""]",[],gen-ai-for-fraud-detection-analytics,[],"1 week of study, 2 hours/week",MQTFDZUiWKBRqc0GO,fJ7iQwcoureHvBmcE
[],"[""VerifiedCert"", ""Specialization""]",M1AcJuI0EfC_4g4vtP_l4w,v2.ondemand,"Learners will develop the ability to design, implement, and optimize an end-to-end Robotic Process Automation (RPA) solution using UiPath. By the end of this course, learners will be able to prepare structured input data, configure queue-based transaction processing, automate web applications, handle business and system exceptions, implement dynamic email notifications, and modularize workflows for maintainable automation.

This hands-on, project-driven course guides learners through a complete real-world UiPath automation using industry best practices. Rather than focusing on isolated activities, the course emphasizes building a production-ready automation that mirrors how RPA solutions are developed in enterprise environments. Learners gain practical experience working with Excel input files, Orchestrator queues, web automation, error handling using Try-Catch, and reusable workflow design.

What makes this course unique is its strong focus on real project execution and architectural thinking. Learners not only learn how to automate but also why design decisions matter for scalability, reliability, and maintainability. Upon completion, learners will be well-prepared to apply UiPath RPA concepts confidently in professional automation projects and enterprise settings.","[{""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""136048342""]","[""EDUCBA""]",BEGINNER,Build End-to-End RPA Solutions with UiPath,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/12/ecdf8c6c0343d28f835dc5bfd7a6c9/330_1.png,"[""en""]","[""NoReH7pySaaYnEl83lqinQ""]",build-end-to-end-rpa-solutions-with-uipath,[],,MQTFDZUiWKBRqc0GO,fJ7iQwcoureHvBmcE
[],"[""VerifiedCert""]",_2rQV8VtEeyomwo-MdMgTQ,v2.ondemand,"In this project, learners will become familiar with Microsoft Planner. They will learn how to create tasks and make adjustments to those tasks. Learners will also get to practice multiple scenarios involving creating plans. By the end of the course, learners will understand how to create and assign tasks, as well as integrate Microsoft Planner with other applications.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""92490803""]","[""Drew Hallett""]",BEGINNER,Get started with Microsoft Planner,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/43/fbe452f3f7441cb01606debd0a12e1/AdobeStock_306449897.jpeg,"[""en""]",[],get-started-microsoft-planner,[],90 minutes ,MQTFDZUiWKBRqc0GO,fJ7iQwcoureHvBmcE
[],"[""VerifiedCert""]",YLO0oGSUEeyIUg4Qv2RsBQ,v2.ondemand,"ينشئ العديد من الأشخاص حسابات وسائط اجتماعية متعددة ويجدون لاحقا أنه من الصعب جدا تحديث ملفاتهم الشخصية على جميع المواقع.
ولذلك ستكون هذه الدورة التدريبية عبارة عن دراسة تمهيدية عن التطبيق هووتسويت، حيث سنتعرف على كيفية إنشاء حساب مجاني، كما سنتعلم كيفية استخدام موقع هووتسويت وطبيعته وميزاته المتقدمة.

في نهاية هذه الدورة ستكون قادرا على إنشاء حسابا مجانيا وستكون لديك دراية شاملة على الواجهة الإلكترونية لهووتسويت ومميزات وخصائص هذا التطبيق.

في هذا المشروع، سنقدم لك مراجعة تفصيلية للميزات الي يقدمها هووتسويت لإدارة فعالة لوسائل التواصل الاجتماعي. الهدف هو مساعدتك في اتخاذ قرار مستنير حول ما إذا كان هووتسويت مناسب لمتطلبات إدارة لوسائط الاجتماعية الخاصة بك.
بإكمال هذه الدورة التدريبية عن هووتسويت، وبمجرد اكتمال هذا المشروع سيكون بإمكانك الاتصال بجميع بروفايلاتك على مواقع التواصل الاجتماعي.

ملاحظة: تعمل هذه الدورة التدريبية بشكل أفضل للمتعلمين المقيمين في منطقة أمريكا الشمالية، نعمل حاليا على توفير نفس التجربة في مناطق أخرى.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""76377122""]","[""Lamia Labello""]",BEGINNER,كيفية استعمال التطبيق هووتسويت,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ee/6ed4d5ada045cbadd3e6c58de2cd95/Untitled-design.png,"[""ar""]",[],getting-started-with-hootsuite-ar,[],2 hours,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",7zPEd7ErEeyiqQr1qP1QDw,v2.ondemand,"مع نهاية المشروع ده، هتقدر تختار الobjective الافضل للحملة الإعلانية بتاعتك على Facebook باستخدام ال-Ads Manager على Facebook Business Manager. على مدار المشروع، هتقدر تحدد ,  تفرق بين, و تستخدم   ال١١ نوع المختلفين للobjectives الخاصة بحملات Facebook والفرق بينهم.

ده هيساعدك أنك بسهولة تحدد الهدف الصحيح للحملة الإعلانية اللي الbrand بتاعتك محتاجاها على Facebook .

المشروع  ده للمستوي المتوسط اللي يعرف ازاي يستخدم Facebook Ads Manager عشان يعمل إعلانات ممولة لكن لسة مش عارف إيه الأهداف اللي المفروض يختار منها وهو بيعمل الحملة الإعلانية.

هنا هنستخدم الFacebook Business Manager اللي بنعتبره الركن الأساسي للbusiness لFacebook  المنصة دي بتساعدك تعمل إعلانات,تحللها وتحدد مين الجمهور المناسب وكمان تحط معلومات الـ Business بتاعك علي صفحاتك.

لما بتشغل الإعلانات من خلال الFacebook Business Manager ده بيكون أفضل كمنصة من أنك مجرد ت boost الإعلان مباشرة من خلال الFacebook  وده لأنه بيفتحلك objectives و معلومات كتير قيمة تساعدك في نجاح الحملة الإعلانية بأحسن وأسهل طريقة ممكنة.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""94157607""]","[""Hussein Makki""]",INTERMEDIATE,إختيار الهدف المثالي للحملات الإعلانية على Facebook,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/32/a91ab4bfe4466698c36e94aff4fa9d/ssyt-aadd-wkhtbr-twSyl-jhz-lshbk-ldhky-7-.png,"[""ar""]",[],iikhtiar-alhadaf-almithalii-lilhamalat-aliielaniat-ealaa-facebook,[],1 hour,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",NnsavYayEeuGxgoh2tcx3w,v2.ondemand,"في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة ونصف تقريباً ستتعلم كيفية تحليل البيانات باستخدام لغة البرمجة بايثون. ستتعرف على مكتبات تحليل البيانات والتعامل مع الأرقام في بايثون، كما ستتعلم كيفية تنظيف البيانات وترتيبها لتهيئتها للتحليل وكيفية الحصول على إجابات للأسئلة المتعلقة بالبيانات التي لديك.

سنقوم باستخدام جوبيتر نوتبوك لكتابة الأكواد وتنفيذها والحصول على رسومات بيانية تمثل البيانات.

لا يوجد متطلبات سابقة للبدء بالمشروع حيث أن هذا المشروع هو للمبتدئين تماما في تحليل البيانات باستخدام بايثون وسيكون هناك شرح مفصل لكل خطوة من الخطوات التي ستقوم بها لإتمامه.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""45723""]","[""Amani Abbas""]",BEGINNER,أساسيات تحليل البيانات باستخدام بايثون وباندا,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/37/9492670a944b07bbb2945b610ea699/pexels-burak-k-186461.jpg,"[""ar""]",[],data-analysis-python-pandas-ar,[],2 hours,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",fGx9S27FEey4uArRczA0dw,v2.ondemand,"في هذه الدورة التدريبية القائمة على المشروع و التي تستغرق ساعة واحدة ، ستتعلم أهم النصائح لإستغلال الإعلانات بهدف تحقيق الربح و ستتعرف على كيفية تنمية نشاطك التجاري و إنشاء و جدولة منشور  بإستخدام مجموعة أدوات الأعمال ،و أخيرا ستتعرف على أداة رؤى جمهور فيسبوك و كيفية إنشاء جمهورك المستهدف الديموغرافي من خلالها.
في نهاية هذه الدورة ستصبح قادراً على بناء جمهورك المستهدف الديموغرافي باستخدام رؤى جمهور فيسبوك.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""95802843""]","[""Fatima Hussein""]",BEGINNER,كيفية بناء ديموغرافية جمهورك المستهدف على فيسبوك,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/34/657a147d7c47d184fc79684a24801e/facebook33.jpeg,"[""ar""]",[],kayfiat-bina-dimughrafiat-jumhurik-almustahdaf-ealaa-facebook,[],ساعتين,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",kQ464l2SEeyqRw7g84MSoQ,v2.ondemand,"هل قررت يوماً أن تستثمر أموالك في شراء أسهم شركة؟ هل عُرض عليك أكثر من فرصة للاستثمار، واحترت فى الاختيار بين هذه الفرص؟ هل قررت يوماً أن تبيع شركتك، ولم تكن لديك الخبرة الكافية لتقييمها أو تحديد سعر بيع السهم الذي يحقق لك أعلى عائد؟ هل طلبت منك شركتك كمحاسب أو محلل مالي أن تُقيّم شركةً جديدة تنوي شراءها أو التنبؤ بمكاسبها في المستقبل وخشيتَ من إعطاء تحليلات غير دقيقة؟
سنتناول هنا مواضيع هذه المواقف المحيرة.

هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها.

إذا كنت من المهتمين بمعرفة طرق تقييم الشركات أو كان مجال عملك يتطلب تلك المعرفة وتوظيفها في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر.

حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: التعرف على مفهوم التحليل المالي، تبيان مفهوم تحليل الأعمال التجارية، إيضاح مفهوم التحليل المحاسبي، شرح كيفية التنبؤ بالمكاسب المستقبلية.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""106946985""]","[""Alfaisal.KLD""]",BEGINNER,طرق تقييم الشركات | Business Valuation Approaches,"[""1027""]",http://coursera-university-assets.s3.amazonaws.com/77/a7a92088124491bdb0f60fa3849494/Coursera-250x50-06.png,"[""Alfaisal University | KLD""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ab/3d1660ec3c44ef81775b72c9f4da25/shutterstock_471791351.jpg,"[""ar""]",[],business-valuation-approaches,[],1 أسبوع دراسة، 1 - 2 ساعات/ أسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",sun6mm4gEeyQuAqyaULE4w,v2.ondemand,"في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة واحدة، ستتعلم كيفية العمل مع المكونات في فيغما. ستكتسب أيضا خبرة عملية كيفية تجاوز المكون وإنشاء خيارات متعددة.
في نهاية هذه الدورة، ستكون قادراً على العمل مع المكونات في فيغما بطريقة فعالة.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""95804037""]","[""Khadijah Awada""]",BEGINNER,العمل مع المكونات في تطبيق فيغما,"[""1041""]",http://coursera-university-assets.s3.amazonaws.com/bf/268f1cfe174416a4501d1be6169b44/Screenshot-2022-09-21-at-9.57.18-AM.png,"[""Anmol Test Institution ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a3/86bd991b3c412e81917cc2b44cb3a8/Figma_logo.png,"[""ar""]",[],aleamal-mae-almukawinat-fi-figma,[],ساعتين,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",2bUbbWYPEeyxLxJK4mLviw,v2.ondemand,"إن مكانة المنتج في الأسواق (Product Positioning) هي عنصر أساسي كي تحقق المؤسسات النجاح والاستمرارية وتحافظ على ميزتها التنافسية، ومن أجل الوصول إلى هذه الغاية تقوم المؤسسات بصياغة استراتيجياتها التسويقية لتشمل ما يُسمى بالمزيج التسويقي (Marketing Mix)، الذي يتضمن المنتج والمكان والعروض الترويجية والسعر، بهدف ترك صورة ذهنية قوية في عقول العملاء، ينتج عنها تفضيلهم لمنتجات وخدمات تلك المؤسسة على المنتجات المنافسة، فأغلب المؤسسات التي تمكنت من أن تكون عملاقة هي التي نجحت في صناعة أسماء وعلامات تجارية بلغت مراحل من القوة والثبات، نتج عنها شراء العملاء منتجاتها وخدماتها دون تردد، لمجرد الوثوق في أسمائها وعلاماتها التجارية، ويمكن تحقيق ذلك عبر العديد من الاستراتيجيات، أبرزها ما يعرف بتمييز السلعة (Differentiation) الذي يقوم على تمييز منتجات الشركة عبر تحديد نقاط قوتها، والتركيز عليها في صياغة صورة ذهنية مبنية على الفهم الجيد لما يوجد في أذهان العملاء المستهدفين (Target Customers) وتطلعاتهم، وإيصال هذه الصورة ضمن رسائلها التسويقية.

هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها.

إذا كنت من المهتمين بفهم استراتيجيات تمركز المنتج، أو كان مجال عملك يتطلب توظيف ذلك في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر.

حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: فهم العلامة التجارية واستراتيجيات إدارة خط المنتج، تعريف العلامة التجارية وعناصرها واستراتيجيات إدارتها، شرح استراتيجيات مكانة تمييز المنتج، استعراض عناصر استراتيجيات مكانة المنتج في السوق.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""106946985""]","[""Alfaisal.KLD""]",BEGINNER,استراتيجيات تمركز المنتج | Product Positioning Strategies,"[""1027""]",http://coursera-university-assets.s3.amazonaws.com/77/a7a92088124491bdb0f60fa3849494/Coursera-250x50-06.png,"[""Alfaisal University | KLD""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7b/5e084ab4b34b8487d1247476aed933/shutterstock_557416291.jpg,"[""ar""]",[],product-positioning-strategies,[],1 أسبوع دراسة، 1 - 2 ساعات/ أسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert"", ""Specialization""]",yKYlJWyDEeyIUg4Qv2RsBQ,v2.ondemand,"كثيراً ما نقابل في حياتنا أشخاصاً على قدر عالٍ من الذكاء العقلي، ورغم أنهم كانوا ناجحين ومتفوقين جداً في حياتهم الدراسية، لكنهم فشلوا تماماً في حياتهم العملية والأسرية، وهذا ما أثار فضول الباحثين، حيث بعد سنوات طويلة من البحث اكتشف الباحثون أن القدرات السلوكية لهؤلاء الأشخاص ضعيفة جداً، مما أثر على تعاملاتهم وقدرتهم على التأقلم مع الآخرين، وهذا ما يقيسه نوع آخر من الذكاء يُسمى بالذكاء العاطفي (Emotional Intelligence).

هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها.

إذا كنت من المهتمين بفهم الذكاء العاطفي، أو كان مجال عملك يتطلب توظيف ذلك في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر.

حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: استعراض أمثلة عن مجالات تطبيق الذكاء العاطفي في الحياة الشخصية والعملية، استيعاب خطوات تعزيز مستوى الذكاء العاطفي وطرق تنميته، فهم مكونات الذكاء العاطفي والمهارات التي يتحلى بها أصحابه، الذكاء العاطفي وأهميته ومبادؤه الأساسية.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""106946985""]","[""Alfaisal.KLD""]",BEGINNER,الذكاء العاطفي | Emotional Intelligence,"[""1027""]",http://coursera-university-assets.s3.amazonaws.com/77/a7a92088124491bdb0f60fa3849494/Coursera-250x50-06.png,"[""Alfaisal University | KLD""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/aa/8eb799ebde4b14b3926e26eb7bc296/shutterstock_1630575820.jpg,"[""ar""]",[],emotional-intelligence-,[],1 أسبوع دراسة، 1 - 2 ساعات/ أسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert"", ""Specialization""]",ugb6Qi1HEeyNShJufRq5Zw,v2.ondemand,"بدء عملية تصميم تجربة المستخدم: التعاطف والتحديد والتصور هي الدورة التدريبية الثانية في برنامج الشهادة التي ستزودك بالمهارات اللازمة للتقدم إلى وظائف المبتدئين في تصميم تجربة المستخدم. في الدورة الثانية، ستكمل الخطوات الأولى لعملية التصميم لمشروع ستتمكن من تضمينه في ملفك الشخصي. سوف تتعلم كيفية التعاطف مع المستخدمين وفهم الشكاوى لديهم، وتحديد احتياجات المستخدم باستخدام عرض المشكلة، والتوصل إلى الكثير من الأفكار لإيجاد حلول لمشكلات هؤلاء المستخدمين. 

سيعمل مصممو تجربة المستخدم والباحثون الحاليون في Google كمدربين لك، وستكمل الأنشطة العملية التي تحاكي سيناريوهات تصميم تجربة المستخدم في العالم الحقيقي.

يجب أن يكون المتعلمون الذين يكملون الدورات السبع في برنامج الشهادة مؤهلين للتقدم بطلب للحصول على وظائف مصممي تجربة المستخدم المبتدئين. لا تلزم خبرة سابقة.

بنهاية هذه الدورة، ستكون قادرًا على:
   - وصف طرق البحث الشائعة لتجربة المستخدم. 
   - التعاطف مع المستخدمين لفهم احتياجاتهم والشكاوى لديهم.
   - إنشاء خرائط التعاطف والشخصيات وقصص المستخدم وخرائط رحلة المستخدم لفهم احتياجات المستخدم.
   - إعداد عمليات عرض المشكلة لتحديد احتياجات المستخدم. 
   - إيجاد أفكار للحلول الممكنة لمشكلات المستخدم. 
   - إجراء عمليات تدقيق تنافسية.
   - تحديد وتفسير التحيزات في أبحاث تجربة المستخدم.
   - ابدأ في تصميم تطبيق هاتف محمول، كمشروع جديد لتضمينه في ملفك الشخصي الاحترافي لتجربة المستخدم.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,بدء عملية تصميم تجربة المستخدم: التعاطف والتحديد والتصور,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ee/f70caecdc94bc0b572fc73de95341e/GoogleDC_0414_edit.jpg,"[""ar""]","[""V3T-8q10Ee2VjgruKy1PNQ"", ""aotozDhGEeyqUA7_yMmHRQ""]",start-the-ux-design-process-empathize-define-and-ideate-arabic,[],,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",x10DYtysEeyiWhKkm8WCRw,v2.ondemand,"لا يخفى على أحد أنه عندما يتعيّن علينا اتخاذ قرارٍ يتعلق بالأمور المالية في حياتنا الشخصية، أو حتى عند التعامل مع المستندات المالية فإننا نشعر بالارتباك، ونكون حذرين قبل اتخاذ القرار لأن الآثار المترتبة على اتخاذ أي قرارٍ خاطئٍ في هذا المجال بالتحديد قد تكلف صاحبها خسائر طائلةً هو في غنىً عنها، لذا فإنه من الضروري جداً امتلاك ثقافةٍ ماليةٍ تجعل صاحبها على درايةٍ وتمكنه من إدارة الأموال بفاعلية، وبالتالي تجعله قادراً على اتخاذ قراراتٍ أكثر دقة، وتكون مبنيةً على أساسٍ متينٍ من الثقافة والمعرفة المالية.

تهدف هذه الدورة التدريبية إلى تمكين المتدربين من تثقيف أنفسهم مالياً من خلال زيادة وعيهم المالي فيما يتعلق بالمصطلحات المالية والمصرفية، وكيفية عمل خطة مالية شخصية تتضمن وضع الميزانية، وإدارة التدفق المالي وحساب النفقات، بالإضافة إلى تزويدهم بالمهارات والمعلومات التي تساعدهم في التعامل مع القروض والودائع وعمليات الاحتيال.


هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها، وتتكون من 4 محاور رئيسية يتضمنها عدد من التقييمات للتأكد من مدى فهم المتدربين للمواضيع المطروحة.

إذا كنت من المهتمين بإتقان الثقافة المالية أو كان مجال عملك يتطلب إتقان تلك المهارات وتوظيفها في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك في فهم وتحليل ذلك بشكل فعال ومؤثر.

حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: شرح تطبيق أساليب القضاء على الأمية المالية في المجالات المختلفة، تحديد طرق الاحتيال وكيفية تجنبها، توضيح أنواع الودائع وأقسامها، التعرف على كيفية اختيار القرض المناسب، تبيان خصائص القروض ومخاطرها، شرح أساليب الادخار المختلفة، التعرف على كيفية إدارة الديون، تحديد طرق تقليل النفقات الشخصية، شرح كيفية إدارة التدفقات النقدية، استعراض أهم المصطلحات المالية والمصرفية المتداولة، التعرّف على مفهوم الثقافة المالية وأهميتها، تطبيق أساسيات التخطيط المالي الشخصي.","[{""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""106946985""]","[""Alfaisal.KLD""]",BEGINNER,الثقافة المالية | Financial Literacy,"[""1027""]",http://coursera-university-assets.s3.amazonaws.com/77/a7a92088124491bdb0f60fa3849494/Coursera-250x50-06.png,"[""Alfaisal University | KLD""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8f/3049e248fd40e3b9ba60493775ba85/shutterstock_1488565448.jpg,"[""ar""]",[],financial-literacy,[],4 أسابيع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert"", ""Specialization""]",J9IlHHLFEey4uArRczA0dw,v2.ondemand,"المحادثات هي عصب التواصل في حياتنا اليومية، فنحن نقضي معظم يومنا تقريباً في محادثاتٍ سواء في المنزل أو العمل أو في أي مكان آخر، وذلك من أجل توصيل وجهة نظرنا إلى الآخرين، بالإضافة إلى الرغبة ي سماع وجهة نظر الآخرين بهدف التعلم واكتساب الخبرات العلمية والحياتية.
تكون تلك المحادثات مرنة وإيجابية أحياناً، حيث يكون فيها قدر عالٍ من التفاهم المتبادل بين أطراف الحديث، وكثيراً ما تفتقر تلك المحادثات إلى تلك المرونة وتأخذ شكلاً آخرَ من الحدّية والتعارض بين الأفكار المطروحة مما قد يؤثر سلباً على علاقتنا بالآخرين.
كثير منا يلجأ إلى تفادي المحادثات الصعبة أو الحادة (Tough Conversations) والهروب منها لتفادي الصدام المتوقع، ويفضل تأجيل تلك المحادثات، مما قد يؤدي إلى تفاقم الأمر وانفجار البركان.
لكن هل توجد طريقة علمية تساعدنا على مواجهة تلك المحادثات بشجاعة والوصول إلى نتائج إيجابية منها؟

هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها.

إذا كنت من المهتمين بفهم كيفية الفوز في المحادثات الصعبة، أو كان مجال عملك يتطلب توظيف ذلك في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر.

حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: التعرف على عوامل النجاح الأساسية للفوز في المحادثات الصعبة، فهم استخدام منهج  (STATE) في المحادثات الصعبة، شرح القواعد الأساسية لإدارة المحادثات الصعبة، شرح أهم أسباب حدوث المحادثات الصعبة في حياتنا اليومية وفي مجال العمل، فهم المقصود بالمحادثات الصعبة.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""106946985""]","[""Alfaisal.KLD""]",BEGINNER,كيف تفوز في المحادثات الصعبة| How to Win Tough Conversations,"[""1027""]",http://coursera-university-assets.s3.amazonaws.com/77/a7a92088124491bdb0f60fa3849494/Coursera-250x50-06.png,"[""Alfaisal University | KLD""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/55/5cbdcbba0d481e8716b67eef86b365/shutterstock_548871208.jpg,"[""ar""]",[],how-to-win-tough-conversation,[],1 أسبوع دراسة، 1 - 2 ساعات/ أسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert"", ""Specialization""]",SuUJJFy2Eeyg-RKSDfcVFQ,v2.ondemand,"في ظل احتدام التنافس وتعدد المتغيرات التي تطرأ على الأسواق، أصبحت تجربة العملاء وطرق زيادة قيمة المنتج (Customer Experience and Value Creation) من أهم عناصر تفوق المؤسسات وأهم أسباب استمراريتها، مما ترتب عليه سعي واجتهاد الشركات كي تخلق ميزة تنافسية لمنتجاتها، وذلك من خلال تقديم قيمة أكبر للعملاء ومحاولة تقديم تجارب متميزة عند استخدام العملاء لكل منتج من المنتجات.

هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها.

	
إذا كنت من المهتمين بفهم تجربة العملاء وخلق القيمة، أو كان مجال عملك يتطلب توظيف ذلك في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر.

حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: التعرف على عوامل زيادة القيمة، 
شرح تكلفة دورة الحياة وقيمة العملاء، فهم التعاون الجماعي وتجميع المصادر، فهم المقصود بتجربة العملاء الإجمالية.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""106946985""]","[""Alfaisal.KLD""]",BEGINNER,تجربة العملاء وخلق القيمة,"[""1027""]",http://coursera-university-assets.s3.amazonaws.com/77/a7a92088124491bdb0f60fa3849494/Coursera-250x50-06.png,"[""Alfaisal University | KLD""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ed/6904cff97446fbba19c0e37e3d5187/shutterstock_498452464.jpg,"[""ar""]",[],customer-experience-and-value-creation,[],1 أسبوع دراسة، 1 - 2 ساعات/ أسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert"", ""Specialization""]",pGplZawrEeyOLhK9Igm19Q,v2.ondemand,"يرتبط النجاح عادة بالقدرة على التأثير في الآخرين وتغيير آرائهم، بل وتحقيق درجة كبيرة من التوافق معهم، لذلك فإن الشخص الذي يمتلك القدرة على الإقناع (Persuasion) يمتلك أحد أهم المفاتيح الأساسية للنجاح والتميز.

هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها.

إذا كنت من المهتمين بفهم فن الإقناع، أو كان مجال عملك يتطلب توظيف ذلك في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر.

حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: شرح مراحل وأدوات الإقناع، فهم أنماط وأشكال الإقناع، استعراض عناصر الإقناع، تعريف الإقناع.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""106946985""]","[""Alfaisal.KLD""]",BEGINNER,فن الإقناع | The Art of Persuasion,"[""1027""]",http://coursera-university-assets.s3.amazonaws.com/77/a7a92088124491bdb0f60fa3849494/Coursera-250x50-06.png,"[""Alfaisal University | KLD""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3f/1192c8af5946439629655d5b4d1479/shutterstock_1361250578.jpg,"[""ar""]",[],the-art-of-persuasion,[],1 أسبوع دراسة، 1 - 2 ساعات/ أسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",OS_7mWMdEeyIUg4Qv2RsBQ,v2.ondemand,"أصبح الحصول على وظيفة الأحلام هو الحلم الأكبر لدى كثير من الشباب، لكن قد يتكاسل الكثير من هؤلاء الشباب في البحث عن عمل، أو يرفض بعضهم وظيفة معينة؛ لأنها لا تناسب وضعه الاجتماعي أو تعليمه أو تدريبه وخبراته، ولعل من المهم القول إنه ليس كل من لا يعمل يمكن أن نطلق عليه لقب عاطل، كما أن الوضع يتغير أحياناً، إذ يمكن لمن يعمل أن يفقد وظيفته ومن لا يعمل أن يحصل على وظيفة جديدة، لذلك فإننا بحاجة لمعرفة من نطلق عليه لقب عاطل، وما المعدل الطبيعي للبطالة (Unemployment) وكيف يمكن حسابه؟

هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها.


إذا كنت من المهتمين بفهم البطالة، أو كان مجال عملك يتطلب توظيف ذلك في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر.

حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: فهم تأثير البطالة على الاقتصاد والمجتمع، شرح العوامل المهمة في قضية البطالة، استعراض الأنواع المختلفة للبطالة وسياسات التعامل مع كل نوع، التعرف على المعدل الطبيعي للبطالة وطرق حسابه، فهم المقصود بالبطالة.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}]","[""96496710"", ""98317592"", ""106946985""]","[""Alfaisal/KLD"", ""Eman Okashah"", ""Alfaisal.KLD""]",BEGINNER,البطالة | Unemployment,"[""1027""]",http://coursera-university-assets.s3.amazonaws.com/77/a7a92088124491bdb0f60fa3849494/Coursera-250x50-06.png,"[""Alfaisal University | KLD""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/17/8c96714cfe461580e9c2a4e5358a35/shutterstock_682490407.jpg,"[""ar""]",[],unemployment,[],1 أسبوع دراسة، 1 - 2 ساعات/ أسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",qIVkPSO8EeuVrhKFjkWrKw,v2.ondemand,"تعد الدورات التدريبية في تخصص ""مقدمة إلى مبادئ إدارة المشاريع وممارساتها"" تمهيدًا يوصى به للحصول على شهادة إدارة المشاريع التطبيقية التي تمنحها جامعة كاليفورنيا، إرفاين (University of California Irvine, UCI). 

تتطلب المشروعات الناجحة تخطيطًا مسبقًا متأنيًا. ستتعلم في هذه الدورة التدريبية الأدوار الرئيسية والمسؤوليات المُكلَّف بها مدير المشروعات وفريق المشروعات. ستتعلم أيضًا الإجابة عن بعض الأسئلة الرئيسية مقدمًا لتساعدك على تلبية أهداف المشروعات: ماذا سيحقق هذا المشروع؟ ما سبب أهمية هذا المشروع؟ من المستفيد من هذا المشروع؟ كيف سنخطط لتحقيق نتائج ناجحة؟

عند الانتهاء من هذه الدورة، ستكون قادرًا على:
1.       تحديد الخصائص الرئيسية للمشروع
2.       تحديد قيود المشروع الأساسية
3.       تحديد دور مدير المشروعات ومسؤولياته
4.       تحديد الهياكل التنظيمية للمشروع
5.       فهم تعريف الجهات المعنية في المشروع
6.       تحديد الجهات المعنية في المشروع
7.       تحديد احتياجات المعلومات الخاصة بالجهات المعنية في المشروع
8.       تحديد مسؤولية إدارة الجهات المعنية والتحكم في مشاركتها
9.       تحديد الغرض من استخدام مخطط المشروع
10.     تلخيص العناصر الرئيسية لخطة المشروع
11.     تحديد المصادر الشائعة للتضارب في بيئة المشروع
12.     وصف الفرق بين الصلاحيات والتأثير","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""29346301""]","[""Margaret  Meloni,  MBA, PMP""]",,بدء المشاريع والتخطيط لها,"[""30""]",https://d15cw65ipctsrr.cloudfront.net/b0/7884f0f97f11e683006f4d784414a5/DCE-1200x1200.png,"[""University of California, Irvine""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a7/bae34049c711e4986e656ae5bf70c9/2_GearsDrawing_Coursera.jpg,"[""ar""]",[],project-planning-ar,[],مدة الدراسة 4 أسابيع، من 2-3 ساعات/ أسبوعيًا,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",q6Sa3YbsEe-DEBK9SfSQ3Q,v2.ondemand,"يهدف هذا المساق إلى تعريف المتعلم المبتدئ بالمعلومات العامة والأساسية حول أحد أهم الجوانب التطبيقية في طب الأسنان، وهو أساسيات تكنولوجيا صناعة الأسنان.  يُعد فني الأسنان جزءًا أساسيًا من الفريق الطبي، حيث يقوم بتصميم وتصنيع التعويضات السنية التي تعيد للمرضى وظيفة الفم الجمالية والوظيفية بعد فقدان الأسنان أو تلفها.

يتناول هذا المساق المبادئ الأساسية لتقنيات تصنيع الأسنان، بدءًا من التعرف على الأدوات و المواد المستخدمة وخصائصها
بالاضافه الى التطبيق العملي لصبّ الطبعات والنماذج السنية، وصولًا إلى مراحل تصنيع التركيبات المختلفة مثل التيجان والجسور والأطقم الكاملة والجزئية.

كما يهدف هذا المساق إلى توضيح العلاقة بين الدقة في العمل المخبري وجودة التعويض السني النهائي، إضافةً إلى إكساب الطلبة فهمًا عامًا للتكامل بين الجانب العملي والتقني من جهة، والجانب السريري من جهة أخرى.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""166949183""]","[""ABEER AL THUNIBAT""]",BEGINNER,أساسيات تكنولوجيا صناعة الأسنان,"[""884""]",http://coursera-university-assets.s3.amazonaws.com/5c/8dce101e6840d6bab891d2508cf366/200-48-300PX-09.png,"[""Jordan University of Science and Technology""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/af/13bb0aa809402bb3e95238f2284427/Gemini_Generated_Image_lgkmmulgkmmulgkm.png,"[""ar""]",[],fundamentals-of-dental-technology-practical,[],,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert"", ""Specialization""]",DKn2EXahEey3rxIS7UGl2w,v2.ondemand,"تتعدد تعريفات الطاقة الإيجابية (Positive Energy)، فأحد التعريفات يُشير إلى أنها حالة الرضا والسلام التي تنتج من علاقة الفرد مع ربه أو التي تنشأ من التأمل، ويُعرفها الآخرون على أنها حالة الرضا التي تنشأ حسب الموقف، وفي النهاية كل فرد هو المسؤول وحده عن توليد تلك الطاقة داخله.

هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها.

إذا كنت من المهتمين بفهم الطاقة الإيجابية، أو كان مجال عملك يتطلب توظيف ذلك في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر.

حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: فهم كيفية التعامل مع الأشخاص ذوي الطاقة السلبية، كيفية شحن الطاقة الإيجابية، التعرف على الأشياء القاتلة للطاقة الإيجابية، توضيح مفهوم الطاقة الإيجابية.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""106946985""]","[""Alfaisal.KLD""]",BEGINNER,الطاقة الإيجابية | Positive Energy,"[""1027""]",http://coursera-university-assets.s3.amazonaws.com/77/a7a92088124491bdb0f60fa3849494/Coursera-250x50-06.png,"[""Alfaisal University | KLD""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6c/673f3356f342e18a5314e76c502bf0/shutterstock_1214053309.jpg,"[""ar""]",[],positive-energy,[],1 أسبوع دراسة، 1 - 2 ساعات/ أسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",GOgxTDsXEe220wp8E-Yq3Q,v2.ondemand,"إن أهم ما يتميز به الإنسان عن سائر المخلوقات هو العقل البشري وما يتميز به من قدرات غير محدودة على التفكير والتحليل والإنتاج المعرفي، ولاستغلال هذه القدرات وتوظيفها في سبيل التطور ورفعة البشرية لا بد من استخدام العقل وتنشيطه، والعقل كباقي أعضاء الجسم يحتاج إلى العناية والغذاء والتدريب الجيد، وكي يتمكن العقل البشري من الوصول إلى أعلى درجات نشاطه في التفكير والتحليل والنقد والاستنتاج والإبداع وحل المشاكل فإنه سيحتاج إلى التدريب على التفكير، وقد يكون هذا التدريب على شكل اكتساب مهارات ومعارف، ومن أهم المواضيع التي يجب الاهتمام بها وبناء الوعي في كل ما يتعلق بها هو التفكير الناقد.  

ومن هنا جاءت أهمية هذا البرنامج التدريبي في تعريف مفهوم التفكير والتفكير الناقد، وخصائص كل منهما، وتوضيح أنماط التفكير المختلفة وأهم ما يميزها، بالإضافة إلى التعرف على المهارات الواجب على الشخص امتلاكها كي يصبح مفكراً ناقداً جيداً. أما على الصعيد العملي فإن هذا البرنامج يسعى إلى تمكين المتدربين من توظيف ممارسات التفكير الناقد في المسائل الحياتية المختلفة، بالإضافة إلى تعريفهم بمعايير ومفاتيح التفكير الناقد، وأهم المعوقات التي قد تحد من فاعلية التفكير الناقد وكيفية التغلب عليها، كما يسعى البرنامج إلى توضيح مفهوم التفكير الإيجابي وعلاقته بالتفكير الناقد، وقواعده وطرق تحفيزه، وكيفية المحافظة على الحالة الإيجابية في عملية التفكير بشكل دائم.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}]","[""106946985""]","[""Alfaisal.KLD""]",INTERMEDIATE,التفكير الناقد | Critical Thinking,"[""1027""]",http://coursera-university-assets.s3.amazonaws.com/77/a7a92088124491bdb0f60fa3849494/Coursera-250x50-06.png,"[""Alfaisal University | KLD""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/41/2f91579d7644669f5b5b3c68392262/shutterstock_2142156547.jpg,"[""ar""]",[],critical-thinking-1,[],4 أسابيع دراسة، 1 - 2 ساعات/ أسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",fwHWWmobEeuI4Aqy1at7YQ,v2.ondemand,"في نهاية هذه الدورة، سيتعرف المتعلمون على كيفية استخدام الموقع يوتيوب للترويج لأعمالهم التجارية وشركاتهم الصغيرة. سيتعرفون على كيفية إنشاء قناة يوتيوب جدابة إحترافية ومتخصصة باستخدام حساب Gmail، وكيفية تخصيص قناتهم لجذب الجمهور المناسب والمقصود بدلك عملاء المستقبل ,وطريقة نشر مقاطع الفيديوالخاصة بمنتجك أو الخدمات المقدمة من طرف مشروعك (كالاعلانات، تقييمات المنتج أو تعليقات من زبنائك الأوفياء)، وكيفية التعاون مع القنوات الأخرى لتحسين الوصول إلى العملاء، وكيفية التفاعل مع المتلقي لجذب انتباهه لتقييم مدى فعالية قناتك في ترويج منتجك أو خدماتك. وتحديد نقاط ضعفك وما يمكنك تحسينه. 
استخدام تحليلات يوتيوب: باستعمالك لهذه الوسيلة يكون لك كيفية التعرف على متتبعيك و معلوماتهم الديموغرافية.

ملاحظة: تعمل هذه الدورة التدريبية بشكل أفضل للمتعلمين المقيمين في منطقة أمريكا الشمالية. نعمل حاليًا على توفير نفس التجربة في مناطق أخرى.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""76377122""]","[""Lamia Labello""]",BEGINNER, التسويق للشركات  والمشاريع الصغيرة عبر موقع يوتيوب,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/76/2785dec8f243d3905ecbcf0b74f045/nordwood-themes-8LfE0Lywyak-unsplash.jpg,"[""ar""]",[],youtube-for-small-businesses-ar,[],2 hours,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert"", ""Specialization""]",0iNoxWy8EeyIUg4Qv2RsBQ,v2.ondemand,"مما لا شك فيه أن الأعمال المكتبية تحتاج إلى الكثير من الوقت والجهد لكتابة المراسلات والتقارير على اختلاف أنواعها، لذا فإنها تحتاج إلى أداة سريعة تُمكِّن مستخدمي الكومبيوتر من كتابة المحتوى بصورة منسقة وواضحة وموفرة للوقت والجهد، وتجعل اهتمام المستخدم منصباً بالدرجة الأولى على التركيز على كتابة المحتوى، ومن ثم تأتي مرحلة تنسيق الخطوط والألوان والعديد من الخيارات الأخرى من خلال برنامج يوفر هذه الأدوات، وطبعاً لا يوجد برنامج أفضل من (Microsoft Word) كي يقوم بمثل هذه المهمة فهو أحد برامج (Microsoft Office) الذي ابتكرته شركة ""مايكروسوفت"" علماً أن الشركة تطرح إصدارات متتالية فيها العديد من المزايا سنوياً.

هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها.


إذا كنت من المهتمين بفهم أساسيات برنامج مايكروسوفت وورد، أو كان مجال عملك يتطلب توظيف ذلك في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر.

حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: عرض مقدمة عن البرنامج وأهميته، شرح كيفية إنشاء ملف جديد، التعرف على طرق حفظ وإغلاق الملف، التعرف على شاشة البرنامج وشريط الأدوات الخاص به.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""106946985""]","[""Alfaisal.KLD""]",BEGINNER,أساسيات برنامج مايكروسوفت وورد | Essentials of MS Word,"[""1027""]",http://coursera-university-assets.s3.amazonaws.com/77/a7a92088124491bdb0f60fa3849494/Coursera-250x50-06.png,"[""Alfaisal University | KLD""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ea/c28f139543414ba020f1c1f8a03aa0/shutterstock_401493067.jpg,"[""ar""]",[],essentials-of-ms-word,[],1 أسبوع دراسة، 1 - 2 ساعات/ أسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",HJX62SN8EeuljgqEX1W9tw,v2.ondemand,"يهدف هذا التخصص إلى إعداد الطلاب للدراسة الجامعية في جامعة ناطقة باللغة الإنجليزية. تزودك الدورة التدريبية بالمشاركة الكاملة والانخراط في دراستك، من خلال بناء الوعي والفهم للقيم الأساسية والتوقعات للثقافة الأكاديمية، وتزودك بإستراتيجيات عملية لتطبيقها على دراساتك. ستتعلم في هذه الدورة التدريبية كيفية تطوير مهارات التواصل لمساعدتك على تحقيق النجاح في دراساتك الجامعية. بعد الانتهاء من هذه الدورة التدريبية، ستكون قادرًا على:

1.	التعرف على أهمية التواصل في المجتمعات العملية في الجامعة
2.	فهم سياقات التواصل في الجامعة والتوقعات المرتبطة بها
3.	التواصل بوضوح من خلال مجموعة متنوعة من السياقات المختلفة مع مجموعة واسعة من الجماهير أقلمة ومواءمة أساليب التواصل بشكل مناسب
4.	التوضيح والتفاوض واكتساب فهم أعمق من خلال وسائل المحادثة والكتابة والوسائل البصرية والمسموعة
5.	صياغة الحُجج بشكل فعال وتوصيل نتائج البحث من خلال عملية البحث والتأليف والتحرير
6.	المشاركة بثقة في حوار بناءّ ونقدي باحترام ومهنية","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""12636306"", ""19115305""]","[""Katherine Olston"", ""Lydia Dutcher""]",BEGINNER,مهارات التواصل لتحقيق النجاح في الجامعة,"[""264""]",https://coursera-university-assets.s3.amazonaws.com/e0/359240e64411e5a8a491ccf8ecd132/200x48-logo.png,"[""The University of Sydney""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/71/7acb501bcc11e6938a0d67f1f9a50e/3.-MOOC-Image.jpg,"[""ar""]",[],communication-skills-ar,[],6 أسابيع من الدراسة، 2- 4 ساعات/الأسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert"", ""Specialization""]",mgjqYmGGEeyGyBIIdSsL5w,v2.ondemand,"تواجه العديد من الدول في يومنا هذا ظاهرة خطيرة وهي التضخم (Inflation)، التي تؤدي إلى انخفاض القيمة الفعلية للنقود، لذا يجب على الأفراد والشركات السعي نحو الحفاظ على أموالهم ومصالحهم عن طريق الاستثمار (Investment) بطرق مختلفة، لكن يجب أولاً دراسة كيفية اتخاذ القرارات الاستثمارية الصحيحة (Investment Decisions) لتجنب أو تقليل الخسائر المحتملة.

هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها.

إذا كنت من المهتمين بفهم دليل الاستثمار، أو كان مجال عملك يتطلب توظيف ذلك في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر.

حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: شرح كيفية التخطيط لاستثمارك واتخاذ قرار استثماري، توضيح أنواع الأدوات المالية، التعرف على المقصود بالوسطاء الماليين، فهم وظيفة وأنواع الأسواق المالية، التعرف على المصادر المستخدمة لتمويل الاستثمار، فهم الفرق بين مفهوم الاستثمار ومفهوم التمويل.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""106946985""]","[""Alfaisal.KLD""]",BEGINNER,دليل الاستثمار | Investment Guide,"[""1027""]",http://coursera-university-assets.s3.amazonaws.com/77/a7a92088124491bdb0f60fa3849494/Coursera-250x50-06.png,"[""Alfaisal University | KLD""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b3/ff8a65ee484d27bba063030528d6b2/shutterstock_238543240.jpg,"[""ar""]",[],investment-guide,[],1 أسبوع دراسة، 1 - 2 ساعات/ أسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",oOrUYpp4EeyAAhIwfadRUw,v2.ondemand,"في هذه الدورة التدريبية  القائمة على المشروع والتي تستغرق ساعة واحدة، ستتعلم كيفية جمع المال لمحاربة الظلم من خلال التبرع على فيسبوك باستخدام الوسائل المتاحة، إضافة إلى معرفة البلدان التي بإمكانها إنشاء حملة تبرعات على فيسبوك وكيفية إنشاء الحملة.
في نهاية هذه الدورة، ستصبح قادراً على معرفة البلدان التي بإمكانها إنشاء حملة تبرعات على فيسبوك بيكسيل.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""95803510""]","[""Nour Bayram""]",BEGINNER,كيفية جمع المال لمحاربة الاستغلال عبر أدوات فيسبوك للتبرعات,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/39/246e902a1b4c92bd2ff2a8b88d3b37/facebook-fundraiser__-1-.png,"[""ar""]",[],kayfiyat-jamee-almal-lmoharabat-alesteglal-abr-adawat-facebook-lettabaroat,[],ساعتين,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert"", ""Specialization""]",uArFfFzMEey28A5X3O2k3Q,v2.ondemand,"العديد من الأفراد في حاجة مُلحة ومستمرة لاستخدام القوائم المالية (Financial Statements)، تحديداً المستثمرون لأنهم من خلالها يتمكنون من اتخاذ القرارات الاستثمارية الصحيحة، كذلك تستخدمها الجهات الحكومية مثل مصلحة الضرائب كي تتمكن من تحديد الضريبة المستحقة، وأيضاً تستخدمها البنوك كي تتمكن من اتخاذ قرار إقراض الشركات من عدمه، لذلك يجب أن تُعدَّ القوائم المالية (Financial Statements) طبقاً لمعايير موحدة في كل دولة، وطبقاً لمعايير عالمية مشتركة بين جميع بلدان العالم كي يتمكن الجميع من قراءتها وتحليلها ومقارنتها بصورة صحيحة.

هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها.

ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: استعراض الحالات المسموح فيها بمخالفة معايير المحاسبة، التعرف على خصائص ومعايير الجودة التي تستخدمها المعايير المحاسبية،  توضيح الاختلافات الشائعة بين (IFRS & GAAP)، المبادئ الأساسية التي تقوم عليها مبادئ (IFRS & GAAP).","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}]","[""106946985""]","[""Alfaisal.KLD""]",BEGINNER,المبادئ المحاسبية في التقارير والقوائم المالية,"[""1027""]",http://coursera-university-assets.s3.amazonaws.com/77/a7a92088124491bdb0f60fa3849494/Coursera-250x50-06.png,"[""Alfaisal University | KLD""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/64/b54121e1844a0fb65db726cf027bef/shutterstock_683387005.jpg,"[""ar""]",[],accounting-standards-in-financial-reports-and-statement,[],1 أسبوع دراسة، 1 - 2 ساعات/ أسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],[],hYl-CYJFEfCPfgr__lXpzQ,v2.ondemand,"هذه الدورة، التي تُقدَّم باللغة الإسبانية من قِبل جامعة برشلونة المستقلة ومركز أزمات برشلونة، تهدف إلى التدريب على تطبيق الإسعافات الأولية النفسية للأشخاص المتأثرين بمواقف شديدة التوتر. وتشمل الدورة كلاً من:

حالات الطوارئ اليومية: وهي الحوادث الحرجة الشائعة إحصائياً والتي تترك أثراً بالغاً، مثل حوادث المرور، أو الدخول إلى المستشفى، أو الاعتداءات، أو الفقدان المفاجئ لشخص عزيز.

حالات الطوارئ المجتمعية والجماعية: وهي أحداث نادرة تؤثر في عدد كبير من الأشخاص أو في مجتمع بأكمله وتتجاوز ما يحدث عادةً فيه، مثل الكوارث الطبيعية، أو حوادث القطارات والطائرات، أو الهجمات.

:المستفيدون
 
عامة السكان، بما في ذلك بروتوكولات خاصة للأطفال، والمراهقين، وكبار السن، وذوي الإعاقة العقلية.
 .المهنيون العاملون في السياقات الصحية والتعليمية والاجتماعية.
 
.المسؤولون عن برامج مساعدة الأطفال، وكبار السن، والفئات متعددة المشاكل، وذوي الإعاقة.
 
.الحكومات المحلية، والقادة الدينيون، وقوات الأمن، والطلاب الذين يستعدون لممارسة كل هذه المهن.
 
. يُنصح به للمتطوعين الذين يتعاونون في مساعدة الفئات التي عانت من مواقف الإجهاد العاطفي الحاد والمؤلم، مثل جمعيات المرضى، ومجموعات المساعدة الذاتية، والمنظمات غير الحكومية، وما إلى ذلك.
 
:أهداف الدورة
 
اكتساب الكفاءات لتطبيق الإسعافات الأولية النفسية على الأفراد، والأسر، والمجتمعات بعد حدث مرهق يومي أو مجتمعي.
 
القدرة على إعداد سيناريوهات مختلفة لاستخدامها كمكان لاستقبال المتضررين وأفراد أسرهم ولتطبيق الإسعافات الأولية النفسية.
 
التدريب على تطبيق بروتوكولات إزالة التوتر واستعادة المعنويات للمتدخلين الذين شاركوا في إدارة حالة الطوارئ.
 
تاريخ البدء: 7 أكتوبر 2015","[{""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}]","[""10601823"", ""10601857"", ""10601868"", ""10601917""]","[""Ingeborg Porcar"", ""Alicia Álvarez"", ""Emilia Cruz"", ""Jordi Framis""]",BEGINNER,الإسعافات الأولية النفسية 2.0 مترجم للعربية,"[""80""]",http://coursera-university-assets.s3.amazonaws.com/b5/16b08ad9e540948d9d2416bab1ce66/2.-Wide-logo-Marketing.png,"[""Universitat Autònoma de Barcelona""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e9/4248f0683c11e5b259e33eb6e889a0/logo_PAP_ondem_2.jpg,"[""ar""]",[],psychological-first-aid-arabic,[],6 أسابيع - 5 ساعات/أسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",HrhwaGY7EeyxLxJK4mLviw,v2.ondemand,"الابتكار هو أساس استراتيجيات التطوير المؤثرة في إدارة الشركات، ومن إحدى الطرق الفعالة لتطبيق الابتكار في عالم الأعمال هي استخدام أدوات ونماذج الابتكار (Innovation Models) التي تساعد الشركات في التعامل مع تحديات السوق بطريقه ممنهجة، نماذج الابتكار (Innovation Models) لها دور مهم في مساعدة الشركات على تسريع وتنظيم عمليات تحديد المشكلة وإيجاد الحلول، لضمان استدامة الأعمال في بيئة عمل هذا العصر.

هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها.

إذا كنت من المهتمين بإتقان استيعاب والتعامل مع نماذج الابتكار، أو كان مجال عملك يتطلب إتقان تلك المهارات وتوظيفها في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك في فهم وتوظيف نماذج الابتكار بشكل فعال ومؤثر ينعكس بنتائج ملموسة على أعمالك.

حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: اختيار النموذج المناسب حسب نوع المشكلة ومعطيات الموقف، طرق اتباع نماذج الابتكار في إدارة المؤسسات مع بعض الأمثلة التطبيقية، التعرف على المبادئ خلف اثنين من نماذج الابتكار وهما التفكير التصميمي ونظرية (TRIZ).","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""106946985""]","[""Alfaisal.KLD""]",BEGINNER,نماذج الابتكار | Innovation Models,"[""1027""]",http://coursera-university-assets.s3.amazonaws.com/77/a7a92088124491bdb0f60fa3849494/Coursera-250x50-06.png,"[""Alfaisal University | KLD""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/04/fc1d99ff0340089e80e94b9258e8cc/shutterstock_574154995.jpg,"[""ar""]",[],innovation-models-,[],1 أسبوع دراسة، 1 - 2 ساعات/ أسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert"", ""Specialization""]",Vsa9i3LNEeys9RJMWW48Yw,v2.ondemand,"الإبداع سمةٌ لا يتميز بها الجميع، ولا تعتمد في الأساس على المؤهلات العلمية والشهادات الأكاديمية، فقد حصل الكثيرون على العديد من الشهادات الجامعية، لكن كم من هؤلاء الأفراد استطاع أن يقدم اختراعاً يخدم البشرية لأجيال وأجيال؟ لقد رسب ""ألبرت اينشتاين"" في امتحانات المعهد العالي في ""زيورخ""، لكنه أصبح صاحب نظرية النسبية، وطُرد ""توماس إديسون"" من المدرسة بحجة عدم قابليته للتعلم لكنه أصبح صاحب اختراع المصباح الكهربائي، كما لم يستكمل ""بيل جيتس"" دراسته في جامعة ""هارفارد"" الأمريكية، لكنه أصبح مبتكر نظام ""الويندوز""، كل هؤلاء لم يحصلوا على التعليم الكافي لكنهم امتلكوا الموهبة الحقيقية والنظرة المختلفة غير التقليدية لما حولهم خلافاً لسائر البشر العاديين، فكانوا دائماً يتوصلون إلى الحلول الإبداعية للمشكلات التي تواجههم بالأسلوب المعروف بإسم التفكير خارج الصندوق (Out of the Box Thinking) أو ما يُطلق عليه التفكير الجانبي (Lateral Thinking)، فهم لا ينظرون إلى المشكلة كباقي البشر طبقاً لمجموعة من النظريات والمسلمات المتعارف عليها، وهذا هو سر تفردهم وتميزهم عن غيرهم مما خلّد أسماءهم عبر الأزمنة والاجيال.

هذه الدورة هي دورة تمهيدية تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها.

إذا كنت من المهتمين بإتقان مهارات التفكير الجانبي وامتلاك القدرة على إطلاق العنان لقدراتك الإبداعية، أو كان مجال عملك يتطلب إتقان تلك المهارات وتوظيفها في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك في فهم وتوظيف مهارات التفكير الجانبي بشكل فعال ومؤثر.

حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: الفرق بين مفهوم التفكير الجانبي والتفكير المنطقي، التعرف على كيفية التفكير خارج الصندوق، قواعد وأساليب التفكير الجانبي وكيفية تنمية تلك المهارة، كيفية تطبيق مفهوم التفكير الجانبي.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""106946985""]","[""Alfaisal.KLD""]",BEGINNER, مهارات التفكير الجانبي  | Lateral Thinking Skills,"[""1027""]",http://coursera-university-assets.s3.amazonaws.com/77/a7a92088124491bdb0f60fa3849494/Coursera-250x50-06.png,"[""Alfaisal University | KLD""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3a/edb34470cb4ac8a6bdbe0b9c69598e/shutterstock_460163389.jpg,"[""ar""]",[],lateral-thinking-skills,[],1 أسبوع دراسة، 1 - 2 ساعات/ أسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",s7IMj5AmEey1ABL9O4vcwQ,v2.ondemand,"هناك عدد كبير من البرامج والتطبيقات والمواقع التي يمكن من خلالها تحرير الصور والتعديل عليها، بعضها بدائي أولي لا يتمتع بإمكانيات كبيرة، وبعضها الآخر قد يكون أكثر تعقيدا أو أعلى إمكانيات مما يحتاجه المستخدم العادي، وفي هذه الحالات يأتي دون استخدام موقع كانفا وهو الموقع الذي استطاع أن يجمع بين أفضل ما يمكن إيجاده في أي من تطبيقات تحرير الصور الاحترافية مع تقديم هذه الإمكانيات في واجهة استخدام بسيطة وسهلة ملائمة للمبتدئين، حتى ممن لا يملكون أي خبرة سابقة في تحرير الصور.

في هذه الدورة التدريبية، ستتعلم كيفية تحرير الصور لوسائل التواصل الاجتماعي باستخدام كانفا. ستصبح قادرا على إنشاء حساب مجاني، وكسْبِ معرفة حول أهم الخطوات الرئيسية لتحرير الصور على كانفا. كما ستتعلم كيفية تعديل صورك، وكيفية إنشاء كولاج الصور لنشره على وسائل التواصل الاجتماعي الخاصة بك","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""domainId"": ""business"", ""subdomainId"": ""marketing""}]","[""76377122""]","[""Lamia Labello""]",BEGINNER,كيفية تحرير الصور لوسائل التواصل الاجتماعي باستخدام كانفا,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/be/3b07fd965e44bb9b8873ced47b0b37/Learn-with-Us-how-to-Edit-Photos-using-Canva.jpg,"[""ar""]",[],tahrir-alsuwar-liwasayil-altawasul-aliajtimaeii-biastikhdam-canva,[],ساعتين,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",RpM4E1IFEey1wAq1DMRz-Q,v2.ondemand,"في نهاية هذا المشروع هتكون قادر تنشئ repository على GitLab باستعمال أى command line terminal، وترفع عليها أى تغييرات فى مشروعك. خلال المشروع هنعمل repository ونتعرف على commands كتيرة فى Git وازاى ممكن نستعمل Git لما نكون شغالين مع team أو حتى لو شغالين لوحدنا.

المشروع دا لا غنى عنه لأى حد بيتعلم برمجة وناوى يشتغل كـDeveloper، والمشروع للمبتدئين لأننا هنمشى خطوة بخطوة كأنك أول مرة بتسبتعمل Git.
Git حاجة مهمة جداً أى Software Developer محتاج يكون ملم بيها وعارفها كويس جداً، وهيكون حاجة مطلوبة منكم فى عدد كبير جداً من الشركات","[{""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""89866159""]","[""Remon Ramy""]",BEGINNER,استخدام Git + GitLab فى مشاريع تطوير البرمجيات,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/22/29d24980df4b9d96aa06584386c7f4/Untitled-design-38-.png,"[""ar""]",[],biastikhdam-git-gitlab-fi-masharie-tatwir-albarmajiaat,[],ساعة واحدة,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",cE0O7xjsEe2sOA4_kCTMHw,v2.ondemand,"في هذه الدورة التدريبية القائمة على المشروع الارشادي والتي تستغرق ساعة واحدة، ستقوم بخلق حساب على منصة هارفيست وخلق المشاريع المختلفة، ومراجعة جداولها الزمنية وتوليد التقارير الخاص بها. كما ستقوم ايضاً بتوليد تقارير تقدم المشاريع وإصدار الفواتير الخاصة بالعملاء وإدارة الأدوار والمصروفات واعدادات الحساب الأخرى. 
هذا المشروع الارشادي مخصص لمدراء المشاريع وأصحاب الاعمال الحرة الراغبين في استخدام منصة هارفيست لأدراه المشاريع ومتابعتها وقبول المدفوعات من العملاء عن طريق الانترنت. 
عند الانتهاء من هذا المشروع ستكون قادراً على متابعة جميع مشاريعك وجداولها الزمنية وتكاليف انتاجها والارباح من خلال منصة واحدة متكاملة.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""30601733""]","[""Mohammed Al-Mousa""]",INTERMEDIATE,ادارة المشاريع واصدار الفتواتير باستخدام هارفيست Harvest,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fe/233e6e76eb44b38b85c916b3cefc6c/dr-lmshryaa-wSdr-lftwtyr-bstkhdm-hrfyst-Harvest.png,"[""ar""]",[],aidarat-almasharie-wasdar-alfawatir-biastikhdam-harfist-harvest,[],2 hours,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",UP4mbSMkEeuBKxKy0yCFlw,v2.ondemand,"لا تزال برامج جداول البيانات واحدة من أكثر البرامج انتشارًا في أماكن العمل في جميع أنحاء العالم. إن تعلم تشغيل هذا البرنامج بثقة يعني إضافة أصول ذات قيمة عالية إلى مؤهلاتك الوظيفية. في الولايات المتحدة الأمريكية وحدها، يتم نشر الملايين من إعلانات الوظائف التي تتطلب مهارات Excel كل يوم. يُظهر البحث الذي تم إجراؤه من قبل Burning Glass Technologies وCapital One أن المهارات الرقمية تؤدي إلى دخل أعلى وفرص عمل أفضل، في وقت تنمو فيه وظائف المهارات الرقمية بشكل أسرع بكثير من الوظائف غير الرقمية.

وفي هذه الدورة التدريبية الثانية من تخصصنا في برنامج Excel، مهارات Excel للأعمال، ستكمل ما بدأته من أسس قوية في دورة ""الأساسيات"". ستوسع مهارات المستوى ""المتوسط I"" معرفتك ببرنامج Excel إلى آفاق جديدة. أنت في طريقك لاكتشاف مجموعة كاملة من المهارات والتقنيات التي ستصبح مكونًا قياسيًا في استخدامك اليومي لبرنامج Excel. ستكتسب في هذه الدورة التدريبية مجموعة من المهارات الراسخة الأكثر تقدمًا حتى تتمكن من إدارة مجموعات البيانات الكبيرة وإنشاء تقارير مفيدة. ستتيح لك هذه التقنيات والأدوات الرئيسية إمكانية إضافة مستوى متطور من التشغيل الآلي والكفاءة إلى مهامك اليومية في Excel.

مرة أخرى، لقد جمعنا فريق تدريس رائعًا سيكون معك في كل خطوة في طريقك. سيرشدك ""براشان"" و""نيكي"" كل أسبوع (وسأحضر ضيفًا في الأسبوع الخامس لمساعدتك في التعرف على أداتي المفضلة في Excel- صمتًا، لتكن مفاجأة). اعمل خلال كل تحد جديد خطوة بخطوة، وستندهش في وقت قصير من مدى تقدمك. سنتابع هذه المرة محاولات ""أوما"" ومعاناتها لأنها تحاول أن تضع قدميها في منصب جديد في شركة وهمية هي PushPin. بالنسبة لمن أتم منكم دورة ""الأساسيات""، فسيكون على دراية بالشركة بالفعل. سيساعدك العمل خلال تحدياتها الشائعة للغاية، والتي نواجهها كل يوم، على التواصل بسهولة أكبر مع المهارات والتقنيات التي يتم تعلمها في كل أسبوع، وتطبيقها في سياقات مألوفة وجديدة.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""25910599"", ""5180246""]","[""Nicky Bull"", ""Professor Yvonne Breyer""]",INTERMEDIATE,"مهارات Excel للأعمال: المستوى ""المتوسط I""","[""254""]",http://coursera-university-assets.s3.amazonaws.com/cf/ed52a39ecb41868171ebaf3e9cfb76/MQ_INT_HOR_RGB_POS---COLOUR.png,"[""Macquarie University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b5/2b212f4b2f45ee91f235ea7c506bc1/ICON-2.jpg,"[""ar""]",[],excel-intermediate-1-ar,[],6 أسابيع من الدراسة، 2-4 ساعات أسبوعيًا,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",aHoD_5x3EeuX0g5JcUzcow,v2.ondemand,"هل تم تكليفك بإدارة مشروع ولا تعرف كيفية البدء في التقاط جميع المعلومات ذات الصلة بتنسيق موجز ودقيق؟

بنهاية هذا المشروع ، ستنشئ مستندًا رئيسيًا ومستندًا حيًا يحتوي على معلومات مهمة يمكنك أنت وأصحاب المصلحة الرجوع إليها أثناء تطور مشروع

عقد المشروع هو مستند حي يعرض المعلومات الأساسية للمشروع ، مثل اسم المشروع والجهات الراعية والمشكلة وبيانات الهدف والنطاق والفوائد والجدول الزمني. يتم استخدامه عادةً في منهجية Lean Six Sigma DMAIC (التحديد والقياس والتحليل والتحسين والتحكم) في بداية المشروع ، ويُشار إليه باستمرار طوال عمر المشروع ، وبعد ذلك.

باستخدام الحد الأدنى من المهارات البرمجية ، ستتمكن من تصنيف هذه المعلومات في مستند باستخدام بنية جدول بسيطة. ستتضمن هذه الدورة مهارات على مستوى المبتدئين باستخدام محرر مستندات Google. يعد إنشاء ميثاق مشروع منظم منطقيًا طريقة رائعة ليس فقط لتلخيص جميع الأجزاء المتحركة لمشروعك في مستند واحد سهل الاستخدام ولكن أيضًا لقياس نجاح مشروعك.


ملاحظة: تعمل هذه الدورة التدريبية بشكل أفضل للمتعلمين المقيمين في منطقة أمريكا الشمالية. نعمل حاليًا على توفير نفس التجربة في مناطق أخرى.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""79723259""]","[""Patricia Sakali-Nifong""]",BEGINNER,إنشاء عقد مشروع باستخدام محرر مستندات جوجل,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cb/9073d6abd0429e8167f28be758244b/glenn-carstens-peters-RLw-UC03Gwc-unsplash.jpg,"[""ar""]",[],create-a-project-charter-with-google-docs-ar,[],2 Hours,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",z9y3VyN7EeuRMhKf6jk8Rw,v2.ondemand,"في هذه الدورة التدريبية، ستتعرف على كيفية تطوير مهارات حل المسائل والإبداع لديك لمساعدتك على تحقيق النجاح في دراساتك الجامعية. بعد الانتهاء من هذه الدورة التدريبية سوف يكون بإمكانك:

1. التعرف على أهمية ووظيفة حل المسائل والتفكير الإبداعي في الدراسات الأكاديمية ودور التفكير النقدي في التصور الإبداعي

2. تطوير مجموعة من الأدوات لتتمكن من تحديد المسائل والأهداف الفعلية في المسائل غير المحددة

3. التعرف على التقنيات التحليلية لحل المسائل وتطبيقها

4. التعرف على التقنيات الإبداعية لحل المسائل وتطبيقها

5. تحديد استخدام الإبداع في أنواع المسائل الأكثر شيوعًا في مجالك

6. تطبيق مهارات حل المسائل والتصور الإبداعي المستفادة على سياق الحياة الواقعية والتفكير في عمليات التعلم الشخصية","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""12636306"", ""19115305""]","[""Katherine Olston"", ""Lydia Dutcher""]",BEGINNER,مهارات حل المسائل لتحقيق النجاح في الجامعة,"[""264""]",https://coursera-university-assets.s3.amazonaws.com/e0/359240e64411e5a8a491ccf8ecd132/200x48-logo.png,"[""The University of Sydney""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/90/4167f01bcd11e6969ee388ee77a959/MOOC-image-cropped.jpg,"[""ar""]",[],problem-solving-skills-ar,[],6 أسابيع من الدراسة، 2- 4 ساعات/الأسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert"", ""Specialization""]",0vSZdxzgEeyguw70hCEltQ,v2.ondemand,"هذه هي الدورة التدريبية الخامسة في برنامج شهادة إدارة المشروعات من Google. سوف تستكشف هذه الدورة تاريخ ونهج وفلسفة إدارة المشروعات في أجايل، بما في ذلك إطار عمل سْكرَم. سوف تتعلم كيفية التفريق والمزج بين أجايل والنهج الأخرى لإدارة المشروعات. أثناء تقدمك خلال الدورة التدريبية، ستتعرف على المزيد عن سْكرَم، من خلال استكشاف ركائزها وقيمها ومقارنة أدوار فريق سْكرَم الأساسية. سوف تكتشف كيفية إنشاء قائمة مهام المنتج وإدارتها وتنقيحها، وتنفيذ استراتيجيات التسليم القائمة على القيمة من أجايل، وتحديد خارطة طريق القيمة. سوف تتعلم أيضًا استراتيجيات لتنظيم أحداث سْكرَم الخمسة المهمة لفريق سْكرَم بشكل فعال، وتقديم نهج أجايل أو سْكرَم لمؤسسة ما، وتدريب فريق أجايل. وأخيرا، سوف تتعلم كيفية البحث عن الفرص وإيجادها في أدوار أجايل. سيستمر مديرو مشروعات Google الحاليون في إرشادك وتزويدك بالنُهُج والأدوات والموارد العملية لتحقيق أهدافك.

يجب أن يكون المتعلمون الذين يكملون هذا البرنامج مجهزين للتقدم لوظائف المستوى التمهيدي كمديري المشروعات. لا تلزم خبرة سابقة.

بنهاية هذه الدورة، ستكون قادرًا على: 
 شرح نهج وفلسفة إدارة المشروعات في أجايل، بما في ذلك القيم والمبادئ.
 - شرح ركائز سْكرَم وكيفية دعمها لقيم سْكرَم.
 - تحديد ومقارنة الأدوار الأساسية في فريق سْكرَم وما الذي يجعلها فعالة.
 - إنشاء وإدارة قائمة مهام المنتج وتنقيح قائمة المهام.
 - وصف الفعاليات الخمسة الهامة في سْكرَم وكيفية إعداد كل فعالية لفريق سْكرَم.
 - تنفيذ استراتيجيات التسليم المبنية على القيمة لأجايل وتحديد خارطة طريق القيمة.
 - شرح كيفية تدريب فريق أجايل ومساعدته في التغلب على التحديات.
 - إجراء بحث عن وظيفة للحصول على دور أجايل وتعلم كيفية النجاح في مقابلتك.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,إدارة المشروعات في أجايل,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/11/db32edad03442786abc8aba72e758b/1200x600_certsResize_3-1-.png,"[""ar""]","[""298DVzhEEeyqUA7_yMmHRQ"", ""PEQWrq10Ee2GUxIq91Bh6w""]",agile-project-management-arabic,[],,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",-WWtcCSoEe6D3gppn8i3rw,v2.ondemand,"سيساعدك هذا المشروع علي تأسيس مهارات استغلال الثغرات واختراق نظم التشغيل من خلال إطار عمل Metasploit
 كذلك سيساعدك علي اكتساب المهارات الاساسية في مجال اختبار الاختراق والاختراق الاخلاقي.
من خلال التدريب العملي على السيناريوهات الواقعية والممارسة الفعلية باستخدام Metasploit، ستتعلم كيفية اكتشاف الثغرات البرمجية والاستفادة منها بطريقة فعالة, وستتعرف على الادوات والطرق  المتبعة من مختبري الاختراق والهاكرز المحترفين في اكتشاف الخدمات والبحث عن ثغرات متعلقة بهذه الخدمات وانظمة التشغيل لاستغلالها و اختراق الأنظمة والخوادم والتحكم فيها بطرق أخلاقية وقانونية.
ايضا سنتعلم كل ما يتعلق بإطار عمل Metasploit وادواته المساعدة مثل Msfvenom. وكذلك سنتعلم فحص انظمة التشغيل والمنافذ للأجهزة باستخدام Namp. 
بتعلم هذة المهارات ستتمكن من البداء في مجال اكتشاف الثغرات والاختراق الاخلاقي.","[{""subdomainId"": ""security"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""129065999""]","[""Mohamed Galal""]",INTERMEDIATE,   للمبتدئين Metasploit: أساسيات الاستغلال ,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ba/8e39817bc74af1b5fa858bb06bd03c/ssyt-aadd-wkhtbr-twSyl-jhz-lshbk-ldhky-27-.png,"[""ar""]",[],metasploit-lilmubtadiiyna-asasiaat-aliastighlal,[],ثلاث ساعات,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert"", ""Specialization""]",YkmBjFyrEeyoJwrNG9Tzyw,v2.ondemand,"الديون المعدومة (Bad Debts) من أخطر القضايا التي تواجه الشركات حول العالم حيث أنها قد تؤدي إلى الإفلاس، وتتورط الشركات في هذا النوع من الديون حين تلجأ إلى تقديم العديد من التسهيلات الائتمانية في السداد لعملائها، فتُظهر حجماً هائلاً من المبيعات (Sales)، ولكنها تصبح في النهاية غير قادرة على تحصيل مستحقاتها كاملة والتي تتحول نسبة كبيرة منها إلى ديون معدومة (Bad Debts).

هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها.

إذا كنت من المهتمين بإتقان التعامل مع الديون المعدومة، أو كان مجال عملك يتطلب فهم هذا المجال وتوظيفه في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر ينعكس بنتائج ملموسة على أعمالك.

حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: المقصود باضمحلال حسابات العملاء، القيام بتحليل حسابات العملاء وأوراق القبض، أنواع الديون، حسابات العملاء.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""106946985""]","[""Alfaisal.KLD""]",BEGINNER, محاسبة المقبوضات والديون المعدومة,"[""1027""]",http://coursera-university-assets.s3.amazonaws.com/77/a7a92088124491bdb0f60fa3849494/Coursera-250x50-06.png,"[""Alfaisal University | KLD""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e7/667691480549cd9cb583705a737377/shutterstock_1395298508.jpg,"[""ar""]",[],accounting-for-receivable--bad-debts,[],1 أسبوع دراسة، 1 - 2 ساعات /أسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",22JeX2iXEeyQuAqyaULE4w,v2.ondemand,"غالباً ما يرتبط النجاح المهني بمدى توفر المؤهلات اللازمة لمواجهة المتطلبات الوظيفية، لكن ثمة جانب مؤثر في هذا النجاح لا يقل أهميةً عن توفر المؤهلات، وهو مدى توفر الصفات التي تجعلُ منك موظفاً أخلاقياً (Ethical Employee) لا يُخلُّ بواجبات ومسؤوليات عمله ومجتمعه، هذا بالإضافة إلى إمكانية تعزيز هذا النجاح عن طريق معرفة وإتقان كثيرٍ من سلوكيات العمل (Business Etiquette) المتحضرة.

هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها.

إذا كنت من المهتمين بفهم أخلاقيات وآداب السلوك في الأعمال، أو كان مجال عملك يتطلب توظيف ذلك في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر.

حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: فهم كيفية تحقيق النجاح من خلال الالتزام بمبادئ آداب السلوك في الأعمال، شرح أهم آداب العمل، استعراض أخلاقيات العمل الأساسية، تبيان مفهوم أخلاقيات وآداب السلوك في الأعمال والفرق بينهما.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}]","[""106946985""]","[""Alfaisal.KLD""]",BEGINNER,أخلاقيات وآداب السلوك في الأعمال,"[""1027""]",http://coursera-university-assets.s3.amazonaws.com/77/a7a92088124491bdb0f60fa3849494/Coursera-250x50-06.png,"[""Alfaisal University | KLD""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cb/77d1f6008348408778796f27eea9a8/shutterstock_329770787.jpg,"[""ar""]",[],business-ethics-and-etiquette,[],1 أسبوع دراسة، 1  -2 ساعات/ أسبوع,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",pzHUPOIDEeinRwpDc_MQBg,v2.ondemand,"التحول الرقمي موضوع مثير للاهتمام، ولكن ماذا يُقصد به بالضبط؟ وماذا يعني للشركات؟ في هذه الدورة التدريبيّة، نتحدث عن التحوّل الرقمي بطريقتين. أولًا، نناقش وتيرة التغيّر والضرورة التي يفرضها لنجاح الأعمال. ثم نقدّم سياق هذا التحوّل وما الذي يحتاج إليه لتحقيق النجاح في عصر التكنولوجيا الرقمية. وبعد ذلك، نستعرض إطار ملكية مجموعة بوسطن الاستشارية (BCG)، الذي يساعدك في تحديد المجالات الرئيسية التي يُمكن تحويلها إلى الصيغ الرقمية، ومنها الاستراتيجية، والعمليات الأساسية، والتكنولوجيا. 

بنهاية هذه الدورة التدريبيّة، ستتمكّن من:
--وصف علم الاقتصاد الذي يرتكز عليه الإبداع، والتكنولوجيا، واضطراب السوق
--تقييم مزايا التكنولوجيا الرقمية الحالية التي تدفع التقدُّم وعيوبها
--استخدام إطار مجموعة بوسطن الاستشارية (BCG) للتحوّل الرقمي كمرجع """"لكيفية"""" التحوّل الرقمي لمنظمتك","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""1400787"", ""3401752"", ""22583591"", ""14206443""]","[""Michael Lenox"", ""Amane Dannouni"", ""Sonja Rueger"", ""Ching Fong Ong""]",BEGINNER,التحوّل الرقمي,"[""345"", ""18""]",,"[""BCG"", ""University of Virginia""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a7/28b070e41411e780b8c7184b4798d6/digtrans_logo-01.png,"[""ar""]",[],bcg-uva-darden-digital-transformation-ar,[],"4 weeks of study, 2 hours per week for weeks 1 - 3 ,and 3 hours of work for week 4",i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",n05OTyN_Eeu1hw7_NRI1RQ,v2.ondemand,العمل والتواصل الجماعي الفعّال ضروريان لنجاحك المهني والشخصي.  ستتعلم، في هذه الدورة التدريبية، ما يلي: اتخاذ قرارات أفضل، وكيف تكون أكثر إبداعًا وابتكارًا، وإدارة التعارض والعمل مع أعضاء المجموعة صعبي المراس، والتفاوض للحصول على النتائج المفضلة، وتحسين التواصل الجماعي في البيئات الافتراضية، وتطوير فهم شامل أفضل للتفاعل البشري، والعمل بشكل أكثر فعالية كفريق.  هدفنا هو مساعدتك على فهم هذه الديناميكيات المهمة للتواصل الجماعي ومعرفة كيفية وضعها موضع التنفيذ لتحسين عملك الجماعي بشكل عام.,"[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""181089885""]","[""Matthew Koschmann""]",BEGINNER,مهارات العمل الجماعي: التواصل الفعّال في مجموعات,"[""71""]",http://coursera-university-assets.s3.amazonaws.com/e1/d25de6c2be4186a8884c35a4284184/Boulder-FL.png,"[""University of Colorado Boulder""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3e/8919205aa711e7b7231dbbd0ae8f05/inst.png,"[""ar""]",[],teamwork-skills-effective-communication-ar,[],,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",hDlLnig_EeuaMRJfX5K-6Q,v2.ondemand,"في نهاية هذا المشروع ، ستكون قادرًا على معالجة البيانات بالدوال، وتطبيق المعادلات لاستخراج الكلمات من النص. علاوة على ذلك ، سوف تكون قادرًا على تحديد وإدارة البيانات الخاصة بك. أخيرًا ، ستتمكن من إنشاء جداول الاحصائيات ومعادلات البحث لتلخيص  بياناتك وتحليلها. سيوضح لك هذا المشروع كيفية التعامل مع النص وكيفية تحليله لتقديمه بشكل احترافي بطرق مختلفة.

هذا المشروع مخصص للأشخاص في مجال الأعمال وتحليل البيانات. يوفر لكم الخطوات المهمة لتكون محلل بيانات. علاوة على ذلك ، فإنه يزودك بالمعرفة الموجودة في جداول البيانات المتعلقة بتحليل الأعمال وكيفية التعامل مع البيانات حسب المعادلات.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""13135964""]","[""Omnya Khaled""]",INTERMEDIATE,معالجة البيانات وتحليل الأعمال باستخدام برنامج جدول البيانات,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4b/567471c7814031a48a0b92fbe9f680/November-03.png,"[""ar""]",[],data-manipulation-business-analysis-arabic,[],1 hour,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",IAuMW0bnEey7lA4KBiJhDQ,v2.ondemand,"في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة واحدة، ستتعرف على كيفيّة استخدام علامات التصنيف على شبكات التواصل الإجتماعي من أجل زيادة المتابعين.
ستتمكن في نهاية الدورة التدريبيّة وبعد التعرف على أهميّة علامات التصنيف من اختيار العلامات المناسبة والمرتبطة بالمحتوى الخاص بك، وستتمكن من إنشاء حساب على عدة منصات وضبط علامات التصنيف عليها، وأخيرًا ستتمكن من استخدام عدة مواقع من أجل تحليل اسخدام علامات التصنيف الشائعة والمحليّة واختيارالأفضل لك لضمان تحقيق أفضل النتائج.
في نهاية هذه الدورة التدريبية، ستكون قادراً على استخدام عدة وسائل وطرق لزيادة عدد المتابعين على وسائل التوصل.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""78419102""]","[""Fatima Karim""]",BEGINNER,زيادة عدد المتابعين عبر البحث عن الكلمات الرئيسية والهاشتاغ,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3f/2a0bfa6d7f4c0297902f7d718a334a/67c481b4-97ae-429f-9b08-c6918b5f6875.jpeg,"[""ar""]",[],ziadat-eadad-almutabiein-eabr-albahth-ean-alkalimat-alrayiysiat-walhashtagh,[],ساعتين,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert""]",pMRvX-evEeiS7hIrivyAug,v2.ondemand,"يزداد عمل القادة في مجال الأعمال التجارية والمنظمات غير الهادفة للربح عبر الحدود الوطنية وفي بيئات متعددة الثقافات. فقد تعمل بانتظام مع عملاء أو مورّدين في الخارج، أو تكون عضوًا في فريق متعدد الوظائف ومنتشر في أماكن متعددة في العالم، أو تعمل مع مدير أجنبي بشأن مهمة دولية. وقد تكون عضوًا في مجتمع عالمي على شبكة الإنترنت، أو عامل إغاثة إنمائية تتعاون مع شبكة دولية للمنظمات الشريكة. وفي جميع هذه السياقات، تعتمد فاعليتك كقائد على كيفية الإدراك الجيد لديك، وقدرتك على إدارة سلوكيات الأفراد والجماعات في سياق متعدد الثقافات.

في هذه الدورة التدريبية -بمصاحبة فريق خبراء هيئة التدريس بجامعة بوكوني وخريجي جامعة بوكوني- سنكتشف النظرية والتطبيق المتعلقين بالقيادة والسلوك التنظيمي الدوليين ومتعددي الثقافات. وكشفت أبحاث العلوم الاجتماعية عن طرق منهجية تختلف فيها سلوكياتنا في مختلف السياقات الثقافية، مما يمكننا من العمل عبر الحدود على نحو أكثر فاعلية. إن الرؤى المأخوذة من علم النفس، والعلوم العصبية، وعلم الاجتماع، وعلم الأنثروبولوجيا، والمأخوذة من الدراسات المجتمعية، والمنح الدراسيّة في مجال الإدارة تتيح لنا فهم العوامل التي تشكل صنع القرار للفرد والجماعة، وما الذي يعزز أداء الفريق أو يُضعفه، وكيف يمكننا بناء شبكات اجتماعية لدينا واستخدامها. وكذلك يتيح لنا تبادل الخبرة العملية للقادة الدوليين تحديد خطوات ملموسة لتعزيز كفاءة القيادة من خلال الثقافات المتعددة، وتوعيتنا بالتحديات الشائعة التي تواجهنا في أثناء القيادة.

يتيح تعلُّم السلوك التنظيمي فرصة كبيرة لتطوير مهارات القيادة والتفكير في اتجاهات سلوكيتنا.كيف تقوم غالبًا بصنع القرارات المهمة؟ ما الذي يحفزك؟ وكيف تحاول تحفيز الآخرين؟وكيف تُعزز المهارات المتنوعة والآراء المتبناة في الفريق وتدمجها بنجاح؟هل تفضل العلاقات المهنية مع مجموعة متماسكة من الزملاء الموثوق بهم، أم مع شبكة واسعة الانتشار من المعارف من شتى مجالات الحياة؟
إذا كنت تريد حقًّا تعلُّم كيفية تصرف المنظمات وصنعها للقرارات، وتطوّر في الوقت نفسه مهارات القيادة، إذًا فهذه الدورة التدريبية مُصممة خصيصًا لك.

ونتطلع للترحيب بك ودعمك في رحلة التعلم والاكتشاف هذه.

المنهج الدراسي للدورة التدريبية
الأسبوع 1 - فطنة القيادة. - المنظور الدولي عن القيادة، والتحديات والمصائد الشائعة، وفرص القيادة متعددة الثقافات. 
الأسبوع 2 - التعامل مع الثقافة. تأثير الاختلافات الثقافية في المنظمات، وتفهّم الثقافة، وتصنيفات الثقافة، والقوالب النمطية المتعلقة بها، وتطوير مهارات الذكاء بين الثقافات.
الأسبوع 3 - التواصل. التواصل وتأثيره في الهوية القيادية والعلاقات، وإدارة التواصل لتحسين صنع القرار، والخطوات المتبعة لتطوير مهارات التواصل بين الثقافات.
الأسبوع 4 - التحفيز.آراء بشأن تحفيز الأفراد، والاختلاف الثقافي في التحفيز، وتطوير التحفيز والالتزام في الفريق.
الأسبوع 5 - إقامة الشبكات. نماذج من العلاقات الاجتماعية داخل/بين المنظمات، وتطوير الشبكات الاجتماعية ورأس المال الاجتماعي على نحو استراتيجي، ومعايير إقامة الشبكات بين الثقافات.
الأسبوع 6 - النزاع. مزايا/عيوب نُهُج إدارة النزاعات، والتعامل مع المآزق الأخلاقية.
وبفضل مشاركة الخريجين لدينا ورابطة خريجي جامعة بوكوني، ستكون للمشاركين رؤى عملية بشأن القيادة الدولية.

الخلفية المُوصى بها.
إن بعض تجارب التعرُّض المُسبق للقضايا الأساسية للسلوك التنظيمي (التواصل، وصنع القرار، والتحفيز، وما إلى ذلك) مفيدة، ولكن ليست مطلوبة.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""5151579""]","[""Franz Wohlgezogen""]",,القيادة الدولية والسلوك التنظيمي,"[""157""]",https://coursera-university-assets.s3.amazonaws.com/d9/dbb6b6a24f820c469217e0ab874dce/Untitled2.png,"[""Università Bocconi""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/62/58d990f18cd48083251c3e57fe9e7e/Untitled-1.jpg,"[""ar""]",[],organizational-behavior-ar,[],,i1n7lidA80jP6zbq6,2sAtb1lMSUtiB3Uif
[],"[""VerifiedCert"", ""Specialization""]",5hRQhN9AEeWsvwp02yXW0Q,v2.ondemand,"In the previous course in the Specialization, we learned how to compare genes, proteins, and genomes.  One way we can use these methods is in order to construct a ""Tree of Life"" showing how a large collection of related organisms have evolved over time.

In the first half of the course, we will discuss approaches for evolutionary tree construction that have been the subject of some of the most cited scientific papers of all time, and show how they can resolve quandaries from finding the origin of a deadly virus to locating the birthplace of modern humans.

In the second half of the course, we will shift gears and examine the old claim that birds evolved from dinosaurs.  How can we prove this?  In particular, we will examine a result that claimed that peptides harvested from a T. rex fossil closely matched peptides found in chickens. In particular, we will use methods from computational proteomics to ask how we could assess whether this result is valid or due to some form of contamination.

Finally, you will learn how to apply popular bioinformatics software tools to reconstruct an evolutionary tree of ebolaviruses and identify the source of the recent Ebola epidemic that caused global headlines.","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""1540981"", ""2658887""]","[""Pavel  Pevzner"", ""Phillip Compeau""]",INTERMEDIATE,Molecular Evolution (Bioinformatics IV),"[""53""]",http://coursera-university-assets.s3.amazonaws.com/c5/3de8182b104f82af1982b55e0ee124/new-1-UCSanDiego-Coursera-wide-2-.png,"[""University of California San Diego""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/47/f97450faea11e5af464fd254543a88/evolution_cropped.jpg,"[""en""]","[""iA5wD-V1EeWrIg44CVcT0Q""]",molecular-evolution,[],,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",k1wH7bMhEfC4mRLAGw45qw,v2.ondemand,"Menopause can affect far more than hormones. Changes in bone density, muscle strength, connective tissue, balance, pain sensitivity, mood, and energy can influence how a person moves, exercises, and feels in daily life. By the end of this course, learners will understand how movement, Pilates, and lifestyle strategies can support strength, stability, comfort, confidence, and long-term health during menopause.

Under the guidance of physiotherapist Phillipa Butler, this course explains how hormonal changes may affect the musculoskeletal system, including bones, muscles, joints, and connective tissue. Learners explore why exercise and targeted movement can play an important role in reducing symptoms, managing risk, and supporting quality of life.

Through step-by-step demonstrations and practical assignments, learners study movement programming, Pilates-based strategies, stability work, pain reduction concepts, and safe exercise progressions.

Healthcare, fitness, Pilates, and wellness professionals will gain practical tools for supporting women through menopause, while general learners will better understand how movement can help during this transition. This course offers an informed, accessible approach to building strength, resilience, and confidence.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""197627137""]","[""Niel Asher Education""]",INTERMEDIATE,Movement Strategies for Menopause Health,"[""3769""]",http://coursera-university-assets.s3.amazonaws.com/2f/c3b2c5fc704446af709f5f050944b7/nat-NIEL-ASHER-black-new-26-.png,"[""Niel Asher Education""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bc/b4b85d9108403b8e4530c7e562a4b5/PRS-71-.png,"[""en""]","[""R-QbdnLsT3S3UI30vRm2mA""]",movement-strategies-for-menopause-health,[],,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",isEnBWBZEei8GhK6J8TCMg,v2.ondemand,"This course will prepare you to complete all parts of the Clinical Data Science Specialization. In this course you will learn how clinical data are generated, the format of these data, and the ethical and legal restrictions on these data. You will also learn enough SQL and R programming skills to be able to complete the entire Specialization - even if you are a beginner programmer. While you are taking this course you will have access to an actual clinical data set and a free, online computational environment for data science hosted by our Industry Partner Google Cloud. 

At the end of this course you will be prepared to embark on your clinical data science education journey, learning how to take data created by the healthcare system and improve the health of tomorrow's patients.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""33019892""]","[""Laura K. Wiley, PhD""]",INTERMEDIATE,Introduction to Clinical Data Science,"[""126""]",http://coursera-university-assets.s3.amazonaws.com/94/45ab9b6dc849e29a9697ebb3227dd2/cu_standard_no-campus.png,"[""University of Colorado System""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/54/b1d5df7bed48fd9b8d6c68ccbd775c/Introduction-to-Clinical-Data-Science.png,"[""en""]","[""inm9VWBZEeigDQ6PCFb-lg""]",introduction-clinical-data-science,[],"4 weeks of study, 1-3 hours/week",EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert""]",-vwROeU9EemxcA6MYUxOhg,v2.ondemand,"This course is presented by the University of Colorado Denver in collaboration with the Vanderbilt Genetics Institute at Vanderbilt University Medical Center and the International Genetic Epidemiology Society. It is designed to provide students with the background and knowledge foundations necessary to conduct statistical analysis of genetic association study data. This course includes multiple lectures and evaluations on each of the topics: the history of genetics research presented by Dr. Nancy Cox, foundational concepts in population genetics presented by Dr. Bruce Weir, population structure in genetic association studies presented by Dr. Todd Edwards, quality control in genetic studies presented by Dr. Goncalo Abecasis, analysis of population-based case-control association studies presented by Dr. Celia Greenwood, and analysis of family-based studies presented by Dr. Joan Bailey-Wilson. Examples of concepts and reference literature are also provided in this 6-module course.","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""17048282"", ""2515594""]","[""Todd Edwards"", ""Stephanie A. Santorico""]",INTERMEDIATE,Genetic Epidemiology Foundations,"[""126""]",http://coursera-university-assets.s3.amazonaws.com/94/45ab9b6dc849e29a9697ebb3227dd2/cu_standard_no-campus.png,"[""University of Colorado System""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1f/b1e605dda949ecb55cf97e8d31b439/Genetic-Epidemiology-Foundatins.png,"[""en""]",[],genetic-epidemiology,[],,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",dc4YSmFREe6dkgpNzIJ5fQ,v2.ondemand,"This course is designed for intermediate learners aiming to create a healthier work environment in their organizations. Throughout a series of engaging lessons, the course thoroughly explores the issue of workplace bullying and harassment. Learners will explore the consequences of workplace misconduct, learn strategies to combat it, and discover how to foster a culture of respect, providing them with practical tools for a harmonious workplace. 

The course enables students to navigate complex interpersonal relationships, helping them handle difficult conversations, resolve conflicts effectively, and build lasting connections. Using a mix of practical examples, theoretical frameworks, and expert insights, learners will enhance their communication skills and develop the ability to form genuine connections both personally and professionally. 

This course has been thoughtfully crafted to cater to individuals of all backgrounds and interests who seek to understand the repercussions of workplace bullying and harassment, foster a nurturing work environment, and actively support and stand with their colleagues as allies.

Ideally, learners should come to this course with a foundation of the following prerequisite skills: open-mindedness; basic leadership; self-awareness; effective communication; empathy; conflict awareness; resilience; and an active learning mindset.  
 
By the end of the course, learners will have a clear understanding of how workplace bullying and harassment can harm psychological, emotional, and overall business well-being. They will be equipped with the knowledge and skills to address such behaviors when they encounter them. Through a combination of theoretical frameworks and real-world examples, learners will not only gain awareness but also the capability to promote positive interactions in their professional spheres.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""139903420"", ""141793623""]","[""Catherine Mattice"", ""Starweaver""]",INTERMEDIATE,Creating a Healthy Culture: Addressing Workplace Bullying,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8f/a70b5ee0894ec0a42fe5826b4294ba/Logo-image-1-.png,"[""en""]","[""SwgUkc3NQSGksaVzq7v0Bw""]",creating-a-healthy-culture-addressing-workplace-bullying,[],75 minutes ,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert""]",LTW4CnQjEeSrZyIACzcE9w,v2.ondemand,"This course will review challenges for maternal and newborn health in the developing world, where a great many women and babies are suffering from complications during pregnancy, childbirth, and the days following birth. Themes covered include the epidemiology of maternal and newborn mortality and morbidity, relevant issues for the global health workforce, community-based interventions to improve maternal and newborn health and survival, and sociocultural dynamics surrounding birth.

This course provides a broad overview of maternal and newborn health issues facing low-income and transitional countries, where more than 2.6 million babies are stillborn and nearly 500,000 women die during childbirth or from pregnancy-related complications each year. In the developing world, many women deliver at home without a skilled care provider, drugs, or technological supports. Maternal and newborn survival can be improved by mobilizing communities and improving access to skilled care.

Through lectures, case studies and readings, course participants will learn about delivery challenges for maternal and newborn health services and how to utilize community-based strategies to improve the health and survival of mothers and babies.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""5240157""]","[""Lynn Sibley""]",INTERMEDIATE,Childbirth: A Global Perspective,"[""23""]",https://coursera-university-assets.s3.amazonaws.com/b1/42666a764d1900edcdd474704d0a14/EU_280.png,"[""Emory University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d8/6708ed8a79e722dce3585c152e6df3/pregnancy1.png,"[""en""]",[],childbirth,[],"6 hours videos, quizzes, and peer reviewed project",EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",bT_xF8X9EfCsJBJKW5smgw,v2.ondemand,"Advance your career in healthcare data analytics by mastering the statistical and predictive modeling techniques used across clinical, operational, and population health settings.  

In this hands-on course, you’ll learn how to analyze real-world healthcare datasets using descriptive statistics, hypothesis testing, regression analysis, and machine learning. Through interactive labs using Python and Jupyter Notebook in a Google Colab environment, you’ll compute key metrics, evaluate clinical groups, build predictive models, and interpret results with confidence.  

Designed for healthcare professionals, data analysts, and IT specialists, this course focuses on practical, industry-relevant skills. You’ll discover how to assess treatment effectiveness, explore associations among clinical variables, and generate predictions that support evidence-based clinical decision-making. The course also emphasizes ethical data practices, model validation, fairness, and the unique challenges of working with healthcare data.  

By the end of the course, you will be able to perform end-to-end healthcare data analysis, from data exploration and statistical testing to predictive modeling and interpretation. You’ll develop job-ready skills in healthcare analytics, statistical modeling, clinical data interpretation, and machine learning for healthcare, preparing you for roles such as healthcare data analyst, clinical data manager, or quality improvement specialist.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""75088416"", ""143632558""]","[""Ramesh Sannareddy"", ""SkillUp""]",INTERMEDIATE,Statistical Analysis and Data Modeling in Healthcare,"[""829""]",http://coursera-university-assets.s3.amazonaws.com/76/d1d1d11d24421cbdf919d276978e10/SkillUp-Logo-200X48.png,"[""SkillUp""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/15/a6e3fc6e3b4857b7252925b902d39e/Course-Logo.png,"[""en""]","[""sV-Yj6_SQ3iJZKrjDquFiA""]",statistical-analysis-and-data-modeling-in-healthcare,[],"4 weeks of study, 2–2.5 hours/week",EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",M5IS7Pw3EeW3kAo3Iffzfw,v2.ondemand,"In previous courses in the Specialization, we have discussed how to sequence and compare genomes. This course will cover advanced topics in finding mutations lurking within DNA and proteins.

In the first half of the course, we would like to ask how an individual's genome differs from the ""reference genome"" of the species. Our goal is to take small fragments of DNA from the individual and ""map"" them to the reference genome.  We will see that the combinatorial pattern matching algorithms solving this problem are elegant and extremely efficient, requiring a surprisingly small amount of runtime and memory.

In the second half of the course, we will learn how to identify the function of a protein even if it has been bombarded by so many mutations compared to similar proteins with known functions that it has become barely recognizable.  This is the case, for example, in HIV studies, since the virus often mutates so quickly that researchers can struggle to study it.  The approach we will use is based on a powerful machine learning tool called a hidden Markov model.

Finally, you will learn how to apply popular bioinformatics software tools applying hidden Markov models to compare a protein against a related family of proteins.","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""1540981"", ""2658887""]","[""Pavel  Pevzner"", ""Phillip Compeau""]",INTERMEDIATE,Finding Mutations in DNA and Proteins (Bioinformatics VI),"[""53""]",http://coursera-university-assets.s3.amazonaws.com/c5/3de8182b104f82af1982b55e0ee124/new-1-UCSanDiego-Coursera-wide-2-.png,"[""University of California San Diego""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a6/deaab0238211e69004d9c25524fb5a/hmm_cropped.jpg,"[""en""]","[""iA5wD-V1EeWrIg44CVcT0Q""]",dna-mutations,[],,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",1WnR8ObyEe6__Qr_xI9RYw,v2.ondemand,"This course is a follow up course to ""Choosing genomics tools"" which dives into further detail about RNA informatics methods! 

This course is for individuals who: 
- Have taken Researcher's Guide to Fundamentals of Omic Data
- Have RNA data and don’t know what to do with it. 
- Want a basic overview of their RNA focused data type. 
- Want to find resources for processing and interpreting RNA data

What this course will cover: 
- Fundamentals of RNA methods. 
- Resources you may consider looking into for your own purposes. 
- Questions you should ask yourself and your colleagues about your goals and experimental design.

What this course will NOT cover: 
- Code needed to process your data. 
- Details about every type of experimental design. 
- Everything you’d need to know to make you a computational biologist. In other words we still highly encourage you to consult your informatics and computational colleagues, especially those who may have done any handling of data you are trying to learn about.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""39250299""]","[""Candace Savonen, MS""]",INTERMEDIATE,Researcher's guide to RNA sequencing data,"[""1359""]",http://coursera-university-assets.s3.amazonaws.com/7b/5a1a7227e24f24a2677ca6ce2e9d07/Fred-Hutch-200px-48px.png,"[""Fred Hutchinson Cancer Center""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3d/4bbce4ddc742bdb1d07aa8d1772d45/coursera-image-3-.png,"[""en""]","[""JWua_nM_TCS4mry3hVJjqg""]",researchers-guide-to-rna-sequencing-data,[],,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert""]",6Q9xMx53EfCpIQr_6QDb7Q,v2.ondemand,"In this course, you’ll examine how public health systems operate, the principles that guide them, and the strategies needed to drive meaningful change. Led by Dr. Jose Prabhu J, this course blends systems thinking with strategic frameworks to equip you for leadership in an evolving public health landscape. You’ll explore the essential functions of public health, learn to evaluate policy and program effectiveness, design behavior driven communication campaigns, and harness multi-sector collaboration to enhance health outcomes.

This course is designed for public health students, healthcare professionals, policymakers, nonprofit leaders, social workers, and educators who are involved in shaping health policies, managing programs, or engaging with communities. It equips learners across sectors with practical tools and strategies to innovate and improve public health systems.

Learners should have basic knowledge of public health principles like epidemiology and disease prevention and be comfortable interpreting data and evaluating health programs. Familiarity with community engagement and cross-sector collaboration is helpful, but no advanced technical skills are required.

By the end of this course, you'll be ready to design and support public health strategies that drive real impact. Whether improving communication, promoting equity, or responding to crises, you’ll have the skills to lead with clarity, apply systems thinking, and create lasting change.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}, {""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""141793623"", ""180497317""]","[""Starweaver"", ""Dr. Jose Prabhu J""]",INTERMEDIATE,Public Health Principles:  Systems and Strategies  ,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/48/4925f5d8eb43b49549e1d161639b50/Thumbnail-1200-x-1200-px-2-.png,"[""en""]",[],public-health-principles-systems-and-strategies,[],3 Hours and 50 Minutes,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert""]",LiqaDp3EEfCM_RINj3lY5Q,v2.ondemand,"Clinicians and healthcare professionals are increasingly burdened by Electronic Health Records (EHRs)—navigating complex interfaces, documenting care manually, and missing key insights in siloed data. Generative AI offers a practical path forward. This course shows you how to integrate GenAI tools into your EHR workflows to reduce documentation time, streamline operations, and improve patient care—without waiting on your EHR vendor.

In just 4 hours, you'll move from foundational concepts to hands-on application using tools like Glass Health, DoraScribe, and Keragon. You’ll explore voice-to-text SOAP notes, AI-generated patient education, no-code automation, and strategies for safe, scalable AI governance in clinical settings.

Ideal for physicians, nurses, administrators, and clinical coders, this course equips you to deploy AI responsibly—boosting efficiency, enhancing communication, and laying the groundwork for long-term digital transformation in healthcare.","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""181699129"", ""141793623""]","[""Neel Majumder"", ""Starweaver""]",INTERMEDIATE,AI-Driven Electronic Health Records & Data Management,"[""1510""]",http://coursera-university-assets.s3.amazonaws.com/1e/f13c265c4f4e93903e17d8c249e1a8/200-X-48.png,"[""STARWEAVER""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/de/598c0c51404c64930fe0226c1889b7/1200x1200px-AI-Driven-Electronic-Health-Records-Data-Management.jpg,"[""en""]",[],ai-driven-electronic-health-records--data-management,[],4 Hours,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",DR38bhttEfGKXAr_6QxVsQ,v2.ondemand,"As healthcare organizations increasingly operate internationally, it is important that you equip yourself with the critical knowledge to manage patient data securely across diverse regulatory environments and know how Health Insurance Portability and Accountability Act (HIPAA), General Data Protection Regulation (GDPR), and other privacy laws apply to your daily responsibilities. 

This course gives you practical knowledge to confidently handle protected health information in multi-jurisdictional settings. You will learn what HIPAA and GDPR require, how they differ, and which obligations apply to your role. The course explains patient rights under each regulation, organizational responsibilities, and critical topics such as informed consent framework under data protection, cross-border data transfers, risk assessments, and privacy-by-design. 

Through real-world examples and scenario-based activities, you will develop the skills to recognize which regulations apply to your work, understand key differences between frameworks, and make informed privacy decisions when handling patient data across different regulatory environments.","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""143632558"", ""206790859""]","[""SkillUp"", ""Sneha Bhonsle""]",INTERMEDIATE,Global Healthcare Data Privacy Frameworks,"[""829""]",http://coursera-university-assets.s3.amazonaws.com/76/d1d1d11d24421cbdf919d276978e10/SkillUp-Logo-200X48.png,"[""SkillUp""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1a/1b95d2d20f4d09a61fe93c77a2b727/SUIPCRS_600079_Logo-Image_600x600pxl-copy.jpg,"[""en""]","[""TptAXuOPTBidkf4wLX3HNQ""]",global-healthcare-data-privacy-frameworks,[],"Total: 7.5 hours, 1–2 hours per week",EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",OYiCwCf-EfGeRQ7adzcNLw,v2.ondemand,"Build job-ready skills for outpatient medical coding and advance your preparation for the Certified Professional Coder (CPC)® certification. Essentials of CPT and HCPCS Coding is an intermediate-level course that focuses on developing the practical knowledge and analytical skills needed to accurately assign CPT® and HCPCS Level II codes based on clinical documentation in outpatient settings.

You will strengthen your understanding of CPT® code categories, modifiers, and HCPCS Level II coding for supplies and services, while learning to interpret medical records and apply coding guidelines effectively. The course emphasizes Evaluation and Management (E/M) coding, emergency department scenarios, and the application of global surgical package rules.

As you progress, you will practice coding across major CPT® sections, including surgery (10000–60000 series), anesthesia, radiology, pathology/laboratory, and medicine services. You will also explore compliance requirements, ethical standards, and regulatory frameworks such as HIPAA to ensure accurate and defensible coding practices.

Through case-based activities, interactive exercises, and hands-on coding practice, this course builds your confidence in documentation-driven coding decisions and prepares you for advanced coding coursework and CPC® exam success.","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""143632558"", ""207809093""]","[""SkillUp"", ""Naveen Kumar""]",INTERMEDIATE,Essentials of CPT and HCPCS Coding,"[""829""]",http://coursera-university-assets.s3.amazonaws.com/76/d1d1d11d24421cbdf919d276978e10/SkillUp-Logo-200X48.png,"[""SkillUp""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a8/330207131d47e8a9e3632b6ef181d8/800x800.png,"[""en""]","[""V_O-zUeZRKCTsf0f2u9YSA""]",essentials-of-cpt-and-hcpcs-coding,[],"3 weeks of study, 2-2.5 hours/week",EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],[],y4a-YpHJEemWRwpaUFjBtA,v2.ondemand,"Este curso introduz um tipo de estudo conhecido por revisão sistemática. Vamos aprender sobre como a revisão sistemática se distingue das demais. Para isso esmiuçaremos cada uma de suas etapas: estruturar perguntas factíveis, organizar buscas por evidências científicas, selecionar artigos de maneira confiável, coletar dados dos artigos selecionados, avaliar a qualidade da evidência disponível, sintetizar o conjunto de evidências, atribuir confiança na síntese e divulgar no ambiente científico. Organizamos o curso em vídeos e textos curtos para ajudá-lo a compreender esses assuntos. O curso dispõe de exercícios e tutoria para orientá-lo da melhor forma.
Usando as técnicas de revisão sistemática, independentemente do seu interesse em realizar uma, você pode mudar sua percepção sobre a evidência científica. Se você já participou de uma revisão sistemática e conhece os bastidores da pesquisa, as dicas ajudarão você a aproveitar melhor o seu tempo no seu próximo estudo. Se você sempre quis entender o que é revisão sistemática, este curso servirá como seu roteiro.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""research""}, {""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""1462328"", ""1324919"", ""39121570"", ""1606049"", ""15214313""]","[""Tais Freire Galvao"", ""Marcus Tolentino Silva"", ""Julicristie Machado de Oliveira"", ""Ivan Zimmermann"", ""Everton Nunes da Silva ""]",INTERMEDIATE,Revisão Sistemática e Meta-análise,"[""208""]",https://coursera-university-assets.s3.amazonaws.com/b1/c7fb70247e11e480bb05b7273d4225/wide_logo_for_course2.png,"[""Universidade Estadual de Campinas""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f4/725fc238af4e4a88122072db248129/IMG_1033_invertido.jpg,"[""pt-BR""]",[],revisao-sistematica,[],"40 horas (6 semanas de estudo, 4-6 horas por semana)",EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",CN2xpX7MEfC2OhKwGgKtJw,v2.ondemand,"Azure AI and Healthcare Cloud Fundamentals is a beginner-friendly course that introduces you to Azure services specifically relevant to healthcare applications, including compute, storage, and AI services. You'll learn healthcare data requirements, explore Azure's health-specific tools, and understand cloud architecture for medical environments. Through hands-on labs, you'll deploy basic Azure resources, configure security settings, and work with healthcare data scenarios. It is perfect for healthcare professionals transitioning to technology roles or IT professionals entering the healthcare sector. You can build foundational knowledge for Azure certifications while gaining practical skills in cloud computing for healthcare.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""56970540""]","["" Microsoft""]",INTERMEDIATE,Azure AI and Healthcare Cloud Fundamentals,"[""705""]",http://coursera-university-assets.s3.amazonaws.com/73/8792b24ae547c1a582c33f7ea4d569/Microsoft-logo_rgb_200x43.png,"[""Microsoft""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/39/d16e77054c4d449d0f8411d6a36023/pexels-mikhail-nilov-6592659.jpg,"[""en""]","[""09VIpVWHQciipQUaJqcmKA""]",azure-ai-and-healthcare-cloud-fundamentals,[],10 Hours,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",fb8kFaTlEfCLpQ6882KFQw,v2.ondemand,"Great nurse leaders don't just deliver care—they shape the systems and cultures that make equitable care possible. This course equips nurse managers, charge nurses, and clinical leaders with practical tools to lead diverse teams and build inclusive care environments. You'll learn how to apply cultural competence in your leadership decisions, communication practices, and team workflows using proven frameworks like the CLAS standards.

You'll explore how cultural identity affects patient care and team dynamics and gain strategies for leading with respect, responsiveness, and clarity. You'll develop the skills to recognize bias, foster equity, and lead meaningful change in your care setting through real-world case studies, reflective activities, and hands-on planning exercises.

Whether you're supporting a multilingual staff, caring for culturally diverse patients, or rethinking how your unit approaches inclusion, this course will help you lead with cultural awareness, intentionality, and impact.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}, {""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""193200302""]","[""Hurix Digital""]",INTERMEDIATE,Nursing Leadership: Cultural Competence and Diversity,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8e/56c21122e04084921ebde60d53670c/Logo-Image-1200-X-1200.png,"[""en""]","[""ZLAw5NRfQhumzMuIGE3aOQ""]",nursing-leadership-essentials-cultural-competence-and-diver,[],30 mins/weekly,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",S492KALBEe2q-Q4lNoHoNw,v2.ondemand,"This course is an examination of the role designers play in protecting health through specification of materials and choices made in the building design phase. You learn about strategies and principles employed in the execution of healthier design projects. Finally, you look at how the use of healthier materials can lead to a healthier world. Participants in the course should have leadership-level career experience in design, architecture, contracting, or a similar field.

This course will enable you to:
•  Shift from traditional design to a healthier materials design approach  
•  Evaluate tools and resources for protecting human health  
•  Apply strategies for choosing healthier materials","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""124431073"", ""20527280""]","[""Alison Mears AIA, LEED AP"", ""Catherine Murphy""]",INTERMEDIATE,Sustainable Building: Design and Specification,"[""733""]",http://coursera-university-assets.s3.amazonaws.com/8c/79f55d00aa412f868a535bc34a8b0b/Parsons_Logo1_XL_RGB.png,"[""Parsons School of Design, The New School""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/85/d868e357e34808a50f629ce2211c82/C3-image.jpg,"[""en""]","[""kdLhxx94SbWLNavDOp5tlw""]",sustainable-building-design-and-specification,[],,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert""]",1QQyfkoWEeuN9A5_DsIBjQ,v2.ondemand,"La resistencia a los antimicrobianos es actualmente un problema de salud pública a nivel mundial, que se incrementa debido al uso inadecuado de antimicrobianos en diferentes escenarios, uno de estos es durante la atención en salud en un entorno hospitalario, u otro centro de atención médica, escenario en el cual el uso inadecuado de antimicrobianos puede generar adicionalmente eventos dañinos o no deseados a nivel individual, en el paciente. Este curso busca fortalecer los conocimientos sobre el uso adecuado de antimicrobianos del personal del área de la salud que en su práctica diaria pueda estar involucrado en los procesos de prescripción, administración y control de este grupo de medicamentos.  

Este curso ha sido elaborado por docentes de Infectología del Departamento de Medicina Interna de la Universidad Nacional de Colombia, dividido en ocho módulos que al completar con éxito esperamos le permitan afianzar sus conocimientos para realizar un adecuado proceso de prescripción, administración y control de antimicrobianos en su práctica diaria.
 
El presente curso emplea como herramientas novedosas e interactivas de aprendizaje para presentar los contenidos temáticos: complementos multimedia en cada uno de los módulos. También encontrará lecturas que le permitirán complementar o profundizar en los conceptos vistos y finalmente actividades formativas calificables elaboradas a partir de casos clínicos, o de la cotidianidad del entorno hospitalario, que le servirán para afianzar sus conocimientos.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}]","[""88894509"", ""88796274"", ""78713695""]","[""Jorge Alberto Cortés Luna"", ""Carlos Arturo Alvarez Moreno"", ""Martha Carolina Valderrama Rios""]",INTERMEDIATE,Uso prudente de antimicrobianos en el entorno hospitalario,"[""675""]",http://coursera-university-assets.s3.amazonaws.com/37/df19cccbde4aa2aa01cc1999c78fca/Logotipo-200x48.png,"[""Universidad Nacional de Colombia""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c6/eac8cb65d64628acec29fb35b8445b/imagen-Uso-prudente-de-antimicrobianos-01.png,"[""es""]",[],antibioticos-uso-prudente,[],"5 semanas de estudio, 8 modulos para un total de 18.6 horas",EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",7vaR5WHIEei16BIJfVb6WA,v2.ondemand,"In this course, students in the health and information technology professions will examine models for interprofessional collaboration and teamwork, practice communication techniques to promote effective interaction, and envision futures literacy in interprofessional informatics scenarios. We will hear from nurses and other informaticians who are leading and working interprofessionally, and glean insights from their diverse perspectives. When we think about the requisite variety of leadership skills that are essential in nursing informatics, we may deduce that leadership in interprofessional informatics will demand at least that diversity or more. We’ll expand our nursing informatics leadership vision to include interprofessional applications of the Competing Values Framework and the Minnesota Nursing Informatics Leadership Inventory. 

For students who are interested in completing the specialization, there is a sixth module in this course dedicated to the creation of a portfolio which is peer reviewed. The purpose of the portfolio is to help students integrate, synthesize and document their learning through completion of the five course specialization.

Students will:
Define the term interprofessionality to support the development of an interprofessional informatics leadership skill set 

Describe how the competing values framework supports knowledge leadership and interprofessional informatics practice to achieve collective impact in health care contexts 

Explain the core competencies expected to support culturally-sensitive interprofessional practice to deepen leadership insights in interprofessional informatics 

Discuss selected policy, practice, and standardization issues related to knowledge representation and framing to support interprofessional informatics practice 

Analyze the future of interprofessional informatics leadership to develop an anticipatory leadership skill set","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""2608269"", ""5367767""]","[""Karen A. Monsen, PhD, RN, FAMIA, FNAP, FAAN"", ""Daniel J. Pesut, Ph.D., RN, FAAN""]",INTERMEDIATE,Leadership in Interprofessional Informatics ,"[""50""]",https://coursera-university-assets.s3.amazonaws.com/2e/0cd5e2383ba389999647887f51de4c/UofMD2D200x48transp.png,"[""University of Minnesota""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f5/b884f0fbf511e8850b718fac9474d0/course5_logo.jpg,"[""en""]","[""vxaZAWObEeisgg7XKSzwFg""]",leadership-interprofessional-informatics,[],,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert""]",DVcGQicJEe65oxK69b8_VQ,v2.ondemand,"Se trata de un curso que nace a raíz de una de las sesiones formativas que realiza cada 15 días el Servicio de Oncología Médica del Hospital Clínic de Barcelona (HCB). En este curso se presentan casos clínicos simulando un MTB de tumores sólidos, con un objetivo principal, mejorar el conocimiento específico del impacto clínico del perfil molecular en tumores sólidos.

 

Está destinado a médicos oncólogos y a estudiantes y profesionales vinculados a la oncología médica. Cada seminario que conforma el curso lo presenta un profesional de una patología diferente del Servicio de Oncología Médica del HCB.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""91132024"", ""88417321"", ""88416191"", ""139704513""]","[""Dra. Laura Mezquita Perez"", ""Dr. Aleix Prat Aparicio"", ""Eva Paradell Salinas"", ""Mercè Moreda""]",INTERMEDIATE,Molecular Tumor Board 2023-2024,"[""212""]",https://coursera-university-assets.s3.amazonaws.com/9d/0e7cc0c5ab11e5a356099ff1dd292f/marca_pos_rgb-200x48-HI.png,"[""Universitat de Barcelona""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2c/0e3d6d1d6945c1ad2980b9b5ba2d73/Diseno-sin-titulo-2-.png,"[""es""]",[],moleculartumorboard20232024,[],,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",A7uKRKBSEfCooA792CHrDw,v2.ondemand,"This course prepares learners to successfully transition from nursing education to professional clinical practice. It focuses on career preparation, workplace readiness, and professional growth strategies essential for new nurses entering the healthcare field. Learners will explore how to identify ideal job settings, research healthcare organizations, and align personal goals with career opportunities. 
The course also covers resume building, interview preparation, negotiation techniques, and navigating workplace culture. By the end, learners will gain the confidence and skills needed to secure employment, adapt to diverse healthcare environments, and thrive as professional nurses delivering high-quality patient care.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}]","[""195521909"", ""195522338""]","[""Amber Vanderburg"", ""Jacquelyn McMillian-Bohler, PhD, CNM""]",INTERMEDIATE,Transition to Nursing Practice,"[""3634""]",http://coursera-university-assets.s3.amazonaws.com/80/0f9666aaea4e639e71997d8af39fd1/Coursera-Lecturio_Navigation-Branding-Image.png,"[""Lecturio""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9d/7eb78aa0da4b8e802fe2fe891df2fb/Coursera-Lecturio_Course_Logo_Transition_to_Nursing_Practice.jpg,"[""en""]","[""Y7scE9FYQwOpQMER6nqFyw""]",lecturio-transition-to-nursing-practice,[],4 hours,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",eL9HZ2ItEeWpHwqwM9Gg0w,v2.ondemand,"Named a top 50 MOOC of all time by Class Central!

This course begins a series of classes illustrating the power of computing in modern biology. Please join us on the frontier of bioinformatics to look for hidden messages in DNA without ever needing to put on a lab coat.

In the first half of the course, we investigate DNA replication, and ask the question, where in the genome does DNA replication begin?  We will see that we can answer this question for many bacteria using only some straightforward algorithms to look for hidden messages in the genome.

In the second half of the course, we examine a different biological question, when we ask which DNA patterns play the role of molecular clocks.  The cells in your body manage to maintain a circadian rhythm, but how is this achieved on the level of DNA?  Once again, we will see that by knowing which hidden messages to look for, we can start to understand the amazingly complex language of DNA.  Perhaps surprisingly, we will apply randomized algorithms, which roll dice and flip coins in order to solve problems.

Finally, you will get your hands dirty and apply existing software tools to find recurring biological motifs within genes that are responsible for helping Mycobacterium tuberculosis go ""dormant"" within a host for many years before causing an active infection.","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""1540981"", ""2658887""]","[""Pavel  Pevzner"", ""Phillip Compeau""]",INTERMEDIATE,Finding Hidden Messages in DNA (Bioinformatics I),"[""53""]",http://coursera-university-assets.s3.amazonaws.com/c5/3de8182b104f82af1982b55e0ee124/new-1-UCSanDiego-Coursera-wide-2-.png,"[""University of California San Diego""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ff/498380fae911e5ab9ee1eba2ed57be/motifs_cropped.jpg,"[""en""]","[""iA5wD-V1EeWrIg44CVcT0Q""]",dna-analysis,[],4-10 hours/week,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",yF26zI7GEfCX0Qr_xQICLQ,v2.ondemand,"Artificial intelligence is transforming healthcare by improving diagnosis, enhancing patient care, and streamlining clinical workflows. If you’re a technologist aiming to apply your skills to healthcare challenges, or a healthcare professional eager to understand and shape the AI tools you’ll work with, this course is for you. 

In this course, you’ll explore the current landscape of AI in healthcare and understand the opportunities and challenges. You’ll then learn about the fundamentals of healthcare data and what makes it unique. You’ll discover why privacy, security, and ethical considerations are critical, and how regulatory frameworks influence the use of AI in medicine. You’ll learn about the machine learning workflow, including defining clinical problems, preparing data, selecting and training models, evaluating performance, deploying solutions, and monitoring results. 

Key features of this course are guided Jupyter labs on diabetes classification and bias detection, and a final project on liver disease detection. 

By the end of the course, you’ll have the foundational skills to apply machine learning responsibly, ethically, and effectively to real-world clinical challenges.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""75088416"", ""143632558""]","[""Ramesh Sannareddy"", ""SkillUp""]",INTERMEDIATE,Foundations of AI in Healthcare,"[""829""]",http://coursera-university-assets.s3.amazonaws.com/76/d1d1d11d24421cbdf919d276978e10/SkillUp-Logo-200X48.png,"[""SkillUp""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c0/56d0b8bf204f35bfe22b10f349f3e4/1516712294-800X800-1-.jpg,"[""en""]","[""k-jXjNKYQPijuaNUauR-bA""]",foundations-of-ai-in-healthcare,[],"4 weeks of study, 1.5-2 hours/week",EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert""]",11sikds7Eeyfjw5n9ulJOw,v2.ondemand,"This course was developed by the Karolinska Institutet (KI) and the Federation of the European Academies of Medicine (FEAM) as part of the research project 'Pan-European Response to the Impacts of the COVID-19 and future Pandemics and Epidemics' (PERISCOPE). Funded by the European Commission Research Funding programme Horizon 2020 under the Grant Agreement number 101016233, PERISCOPE investigates the broad socio-economic and behavioural impacts of the COVID-19 pandemic, to make Europe more resilient and prepared for future large-scale risks. 

This course is primarily aimed at highly specialised technical professional groups (healthcare authorities, policymakers, researchers and other academics) interested in learning more about the One Health approach. The modules are for participants who are likely to have previous knowledge about the concept in one specific area or pillar but not necessarily in all of them. 

The course will provide basic knowledge and contextualisation of One Health in creeping crises, such as the COVID-19 pandemic. Attending the course, participants will identify enablers, limitations, barriers, and next steps in and to the One Health concept and operationalisation.

PERISCOPE website: https://www.periscopeproject.eu/
KI website: https://ki.se/en
FEAM website: https://www.feam.eu/","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""38906110""]","[""Marco Brambilla""]",INTERMEDIATE,"One Health: Pandemic preparedness, prevention, and response","[""405""]",http://coursera-university-assets.s3.amazonaws.com/01/c62595317a4c01bcabd76db132a6c7/c2.png,"[""Politecnico di Milano""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c1/5fb87829224ffbaf0bcc05c0616469/Logo-003-.png,"[""en""]",[],one-health-pandemic-preparedness-prevention-and-response,[],,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",k53LETQ4EfCGRg44G5OASw,v2.ondemand,"This course addresses statistics, bioinformatics, and machine learning/artificial intelligence in the study of sex differences and SABV research. You'll learn from experts about the following:

addressing common statistical errors, 
describing challenges related to the measurement of peri and postmenopausal women in research,
considering methods to control for hormones in research,
identifying preclinical models to answer questions regarding sex differences,
illustrating the latest uses of machine learning and artificial intelligence.

This course is the third of three courses in the Specialization: Sex as a Biological Variable in the Conduct of Research.

Experts: 
Nannette Santoro, MD, University of Colorado Anschutz
Kerrie Moreau, PhD, University of Colorado Anschutz 
Nancy Lane, MD, UC Davis
Nina Stachenfeld, PhD, Yale School of Medicine
Janet Rich Edwards, ScD, MPH, Harvard University
Audrey Hendricks, PhD, University of Colorado Anschutz
Carolyn Mazure, PhD, Yale School of Medicine","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""211999365""]","[""Ludeman Family Center for Women's Health Research""]",INTERMEDIATE,"Statistics, Bioinformatics, and AI in SABV Research","[""126""]",http://coursera-university-assets.s3.amazonaws.com/94/45ab9b6dc849e29a9697ebb3227dd2/cu_standard_no-campus.png,"[""University of Colorado System""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2d/850eddfd484a09b2e609fc1d5a171d/C3_SABV-logo-600-x-600-px-3-.png,"[""en""]","[""Sb28u0FsTSqFfvc6Y9uevw""]",statistics-bioinformatics-and-ai-in-sabv-research,[],"3 weeks, 1-2 hours per week",EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",245Ge6TcEfCrWw5f2JZVRQ,v2.ondemand,"This course, Nursing Leadership: Ethics & Legal Considerations,equips nurse leaders with the knowledge and practical tools to navigate the complex ethical and legal challenges they face in healthcare settings. Throughout this course, you will explore core ethical principles, legal responsibilities, and decision-making frameworks that directly impact patient care, staff management, and organizational compliance. By applying these concepts, you’ll be better prepared to lead with integrity, mitigate legal risks, and foster a culture of accountability and ethical practice within your team. This course uses real-world case studies, hands-on exercises, and reflective learning to help you strengthen your leadership capabilities and ensure your team operates within legal and ethical boundaries, ultimately improving patient care outcomes and organizational success.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""193200302""]","[""Hurix Digital""]",INTERMEDIATE,Nursing Leadership: Ethics & Legal Considerations,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f7/b7b0900b2d45dc8d829f48d4189090/Logo-Image-1200-X-1200.png,"[""en""]","[""ZLAw5NRfQhumzMuIGE3aOQ""]",nursing-leadership-ethics--legal-considerations,[],30mins/week,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",8F4H-aBPEfCIRwr_4Lk1ww,v2.ondemand,"This course explores effective communication strategies for healthcare professionals to enhance teamwork and patient care. Learners will reflect upon giving and receiving feedback, managing emotions, addressing microaggressions, and handling conflict in the workplace. Through real-world scenarios, nurses learn to build trust, foster collaboration, and communicate with empathy across interdisciplinary teams.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}]","[""195521909""]","[""Amber Vanderburg""]",INTERMEDIATE,Communication in Healthcare,"[""3634""]",http://coursera-university-assets.s3.amazonaws.com/80/0f9666aaea4e639e71997d8af39fd1/Coursera-Lecturio_Navigation-Branding-Image.png,"[""Lecturio""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d5/28dbfc76a44e5f8cf57bc2305c6873/Coursera-Lecturio_Course_Logo_Communication_in_Healthcare.jpg,"[""en""]","[""Y7scE9FYQwOpQMER6nqFyw""]",lecturio-communication-in-healthcare,[],3 hours,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",BgjX82sVEeumww4A4k-nvw,v2.ondemand,"The third and the last course of the Addressing Racial Health Inequity in Healthcare specialization will go through various approaches that are used to addressing racial inequity in healthcare., and the strengths and challenges of those approaches. You will explore legal, policy, and regulatory approaches to interventions such as Title IX in the United States. You will explore what is being done to intervene on providers to reduce differential care. You will unpack quality improvement and multiple approaches to leveraging healthcare systems and community partnerships to address access to care. You will also come to understand the history and role of community health centers in being critical infrastructure in addressing the health needs of diverse populations. Finally, you will be introduced to the workforce initiatives and the reparations that aim to close the racial and ethnic healthcare disparities gaps.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}]","[""76964687""]","[""Minal R. Patel""]",INTERMEDIATE,Achieving Health Equity in Healthcare,"[""3""]",https://coursera-university-assets.s3.amazonaws.com/b6/f49480857811e59a278d7d1ca6079f/U-M_LogoSmHoriz_200x48.png,"[""University of Michigan""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e9/b2c048a5204e79b740133ccbfccb23/course_3.png,"[""en""]","[""Vw5fYPkzEeuZyhIkPYPGow""]",achieving-health-equity-in-healthcare,[],"5 weeks of study, 3-4 hours/week",EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",j1yXnYcYEfCCSg698sr4dw,v2.ondemand,"This module addresses the ethical, legal, and privacy challenges associated with digital health technologies. Learners will evaluate regulatory compliance, patient data protection, and ethical decision-making in the adoption of digital tools in healthcare.","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""188176406""]","[""Prof. Paul S. Lalvani​""]",INTERMEDIATE,Ethical Consideration in Digital Health,"[""3635""]",http://coursera-university-assets.s3.amazonaws.com/00/bdfa2fdb634f7e948281b62d26ad5b/Empower-India.png,"[""Empower School of Health""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/40/378d1058d64db089575348ff465a15/2010.i606.001..online-medicine-set-05.jpg,"[""en""]","[""IO9r5k7sSGKFnEukKfvcrA"", ""Wh07XR7vQ_CaGjyFEFC5ew""]",ethical-consideration-in-digital-health,[],"2 weeks of study, 6 hours/week",EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert""]",k5cjD_fwEeyFUAphC_7O7w,v2.ondemand,"This course is aimed at intervention scientists working in any area--including public health, education, criminal justice, and others—interested in learning about an innovative framework for conducting intervention research.  This course will show you how to use the multiphase optimization strategy (MOST) to: streamline interventions by eliminating inactive components; identify the combination of components that offers the greatest effectiveness without exceeding a defined implementation budget; develop interventions for immediate scalability; look inside the “black box” to understand which intervention components work and which do not; and improve interventions programmatically over time.  In this course you will relate the MOST framework to your research objectives; learn how MOST differs from the standard approach to intervention development and evaluation; learn how to complete the preparation and optimization phases of MOST; and become familiar with rigorous and highly efficient experimental designs that will enable you to examine the performance of individual intervention components.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""research""}, {""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""84150387"", ""19863491""]","[""Linda M Collins"", ""Kate Guastaferro""]",INTERMEDIATE,MOST from a Conceptual Perspective,"[""309""]",http://coursera-university-assets.s3.amazonaws.com/b1/28e49843b147208cfb4f696de88686/NYU-Partner-front-and-course-logo.png,"[""New York University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/27/e5330e5ba44ba99ab0fff667b40ab5/screenshotted-logo.png,"[""en""]",[],most-conceptual-perspective,[],,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert""]",LCggCgmGEfCkPBKpO2YRyQ,v2.ondemand,"Breeding programmes are key to the genetic improvement of plant varieties and animal breeds used in agriculture. This unique course shows how to model an existing or new breeding programme and the evaluation of alternative breeding scenarios.

This online course will equip participants with an understanding of computer modelling of breeding programmes to enhance genetic improvements in agriculture. The modelling is done through the AlphaSimR package.

The package provides a set of functions that represent breeding activities. The combination of these functions in an R script allows the modelling of simple and arbitrarily complex breeding programmes. It also allows evaluation of the effects of alternative breeding scenarios on the rate of genetic improvement and other key performance indicators.

The course is taught by experts in the field and is applicable to a range of breeding programmes as demonstrated through local and global case studies.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""178479752""]","[""Gregor Gorjanc""]",INTERMEDIATE,Breeding Programme Modelling with AlphaSimR,"[""14""]",http://coursera-university-assets.s3.amazonaws.com/b0/87aea088d5482bad87be07bedd69c7/Untitled-200-x-48-px-.png,"[""The University of Edinburgh""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7b/04a476174748e48b2df571bcc4e7fd/breeding-course-image.png,"[""en""]",[],breeding-programme-modelling-alphsimr,[],3-5 hours per week,EpZniAzYxvih1lfx8,XVDaJw3A1MebieujC
[],"[""VerifiedCert"", ""Specialization""]",9oudjmM0EfGIcg461-x1NQ,v2.ondemand,"CREO Stress Management for Employees and Startup Founders helps employees, founders, and early-stage teams understand how stress affects judgement, behaviour, relationships, and decision-making at work. 

This course is designed for employees, managers, team leaders, entrepreneurs, and startup founders who work under pressure and want to understand, recognise, and manage stress more effectively in professional settings. It is especially relevant for people making decisions in fast-paced, uncertain, or high-responsibility environments. Through this course, you will explore how stress shapes behaviour, judgement, and wellbeing in demanding environments. 

By the of this course you will learn how to identify stress triggers, apply practical coping techniques, strengthen resilience, and sustain effectiveness in fast-paced professional settings.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""197137166""]","[""Martine Abboud""]",BEGINNER,Stress Management for Employees and Startup Founders,"[""4044""]",http://coursera-university-assets.s3.amazonaws.com/0f/adf91a0a1847609ed19f7c47c1a7d2/200px-x-48px-png.png,"[""Creo Incubator""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e2/d8eca7501a4a26a3f7e6b9d8f3d688/Stress-management-for-employees-and-startup-founders-.png,"[""en""]","[""6foBWEULThGYiHo7ZGHatQ"", ""lu6FWUTLSQeUmd0SnLE-yw""]",stress-management-for-employees-and-startup-founders,[],,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert""]",_HtpP_VIEe2OqwqhrYNGhQ,v2.ondemand,"This course aims to furnish learners with the essential knowledge necessary for comprehending financial statements, financial markets, economic dynamics, and the construction of investment portfolios. 

The programme's first module serves as an introductory session, elucidating fundamental finance terminologies, and the imperative nature of financial planning. Additionally, it also offers the strategic insights into prudent management of loans and credit to evade potential debt pitfalls. 

Subsequently, the second module delves into the pathways leading to financial independence. The third module scrutinizes on the various streams of income, exploring their diverse forms and implications. 
In the fourth module, participants will acquire a comprehensive understanding of investment fundamentals, encompassing an array of investment vehicles and available avenues for deployment. Modules five and six are dedicated to elucidating the rudiments of life and health insurance, as well as strategies for effective tax planning. 

At the culmination of this course, the participants develop a holistic understanding of financial planning, enabling them to navigate the intricacies of financial management with confidence and proficiency.

Who should take this course?
This program offers valuable insights to learners who are looking to explore their personal financial landscape in a systematic manner and to grasp the implications of broader economic factors such as taxation and inflation.

What do you need to know before taking this course?
While the modules related to financial independence, investing, insurance, and taxation are designed to be comprehensive, any pre-existing knowledge in these areas could enrich the learner’s experience, although it is not mandatory.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""131525871"", ""2078361"", ""106557468"", ""16322660"", ""30823764""]","[""Hemant Gupta"", ""Karan Mehta"", ""Sumanth Karlapudi"", ""Prasanna Tantri"", ""Anand Shekhar""]",BEGINNER,Financial Planning,"[""215""]",http://coursera-university-assets.s3.amazonaws.com/a1/eae3d4bcd843faaa669f64012422e8/ISB-Logo.png,"[""Indian School of Business""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/74/f04aad2fde438eb42fba472d0bf384/2-2-.png,"[""en""]",[],financial-planning-course-isb,[],"6 weeks of study, 4-5 hours/week",h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",9eCUdfR9Ee-iuhIbetE9yw,v2.ondemand,"Learn the video production process for YouTube, from planning and scripting to shooting, editing, and channel optimization. This course teaches you how to create professional-quality videos that capture viewer attention and leverage YouTube's powerful algorithm for maximum reach and engagement.

Through hands-on lessons, you'll learn to develop compelling video scripts, produce high-quality content using accessible equipment, and implement YouTube SEO best practices. You'll also discover strategies for creating effective YouTube Shorts, managing live streams, and building a sustainable channel strategy that drives audience growth.

By the end of this course, you will be able to:

- Create professional-quality videos optimized for YouTube's platform and algorithm
- Develop compelling video scripts and storyboards that maintain viewer attention
- Master video production techniques using smartphones and basic editing software
- Design effective channel branding and content strategies
- Build and engage a YouTube community through strategic content planning
- Analyze channel performance and optimize content using YouTube Analytics
- Implement YouTube monetization strategies and growth opportunities

Apply your skills in a final project where you'll create a complete YouTube channel launch package for a fictional brand.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""47377817""]","[""Cara Nicole""]",BEGINNER,Creating Engaging Content for YouTube,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8d/955611fab14f8a92e4ece08bc4b35f/BC-4527_Coursera-Originals-Content-Creator_Course3_Youtube.png,"[""en""]","[""b6roRX-6TZeJU6Twm5GGdQ""]",creating-engaging-content-for-youtube,[],"4 weeks, 4 hours/week",h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",PCUz-N-JEfCRngr_5NzFbw,v2.ondemand,"Safeguard your personal and professional digital footprint. This course equips you with essential cybersecurity strategies to protect information and minimize digital risk.

As more data is stored and shared online, digital safety and security have become crucial professional competencies. Led by Dr. Nicholas Proferes of ASU’s School of Social and Behavioral Sciences, this course covers foundational digital security principles, practical tools to protect sensitive information, and proactive strategies to detect, prevent, and respond to cyber threats. Through interactive exercises and real-world scenarios, you’ll build confidence in managing digital risks and protecting your data across personal and workplace environments.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""194113562""]","[""Tyler Galarneau""]",BEGINNER,Professional Skills: Digital Security,"[""287""]",,"[""Arizona State University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f5/4de494781e45fab73e646460aa9f3a/CC-PS-DF-DSS.jpg,"[""en""]","[""Egpz1dwVTMiZxvZDZaBDjg""]",digital-security,[],Approximately 8 hours to complete,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert""]",h9nm7aF2EeyZ1AqPZNr0NQ,v2.ondemand,"After successfully completing this project, you will have created a cover letter and an envelope using Microsoft Word. 

While composing a cover letter, you will use various features in Word such as headers, styles, and page size. You will also learn how to adjust page margins and use the markers on the ruler. This project is useful for learning the basic features in Word to create a formal block style letter and envelope.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""98840865""]","[""Sheri Coughenour""]",BEGINNER,Create a Cover Letter with an Envelope using Microsoft Word,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3e/0ca6b766234c809a6e4849a5980bba/mail-297177_1280s.png,"[""en""]",[],create-a-cover-letter-with-an-envelope-using-microsoft-word,[],2 hours,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",aKgfVs3CEeu0KQ5V9fFcUQ,v2.ondemand,"This course focuses on research methodologies. In this vein, the focus will be placed on qualitative and quantitative research methodologies, sampling approaches, and primary and secondary data collection. The course begins with a discussion on qualitative research approaches, looking at focus groups, personal interviews, ethnography, case studies and action research. We will also discuss quantitative research methods with a focus on experimental research design and survey methodology. There will be an exploration of the sampling design process and different sampling approaches, including probability and non-probability sampling as well as sample size and non-response issues. We will look at the nature and scope of primary and secondary data, and the importance of measurement. We will look at the role of the Internet in market research as well as non-comparative scaling techniques. The course ends with a discussion on different data collection approaches, with a focus on observation, content analysis, narrative research, phenomenology, and the collection of data using ethnography.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""196847204""]","[""Queen Mary University of London""]",BEGINNER,Research Methodologies,"[""776""]",http://coursera-university-assets.s3.amazonaws.com/bb/c175befb014f0d959a82d9cd7ac2be/QMUL-Logo-White.png,"[""Queen Mary University of London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8e/6192d98ff642f0b1c80fa183e7dbc4/Slide10.jpg,"[""en""]","[""4QgKHM-REeupRA6ghdIhRw""]",research-methodologies,[],20 hours (4 hours per week)  ,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",l3EDPU4dEfGZjAr_63XrCw,v2.ondemand,"This course introduces intuitive measurement techniques to tackle seemingly immeasurable concepts and provides insights into how to approach uncertainty with confidence. Learners will be guided through the process of quantifying uncertainty and challenging misconceptions about measurement. 

Key topics include defining and scaling measurements, the philosophical debates around risk, and methods for intuitive estimation. You’ll examine the foundational ideas of measuring intangibles, learn to clarify complex measurement problems, and understand how to confidently deal with ambiguity. 

The course presents real-world examples and thought-provoking quizzes to help learners gain clarity in their measurement journey. By the end of this course, you will be equipped with practical tools and clear reasoning to measure what others deem immeasurable.

This course is part one of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

This Specialization is based on the book How to Measure Anything: Finding the Value of “Intangibles“ in Business, by Douglas W. Hubbard.

From How to Measure Anything Copyright © 2014 by Douglas W. Hubbard. All rights reserved. Used by arrangement with John Wiley & Sons, Inc.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""205323684""]","[""Wiley Skills Network""]",BEGINNER,Foundations of Measuring the Intangible,"[""4357""]",http://coursera-university-assets.s3.amazonaws.com/be/8b133d3a37459386cbb52dc93d808d/Wiley_Wordmark_black_RGB.png,"[""John Wiley & Sons""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b5/16c314a1b143ce9e9f75dc0898b763/9781807427436_square.jpg,"[""en""]","[""pXDJhvAFRbKkQCEI-mUqDg""]",wiley-foundations-of-measuring-the-intangible,[],,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",KlAJ6oysEeW79RIwiAyGoQ,v2.ondemand,"Few kinds of communication can have the effect of a powerful presentation.  Even a short speech can motivate people to change long-held beliefs or to take action, and a wonderfully delivered speech can transform a normal person into a leader.

In this course, Prof. William Kuskin provides a series of pragmatic videos and exercises for successful public speaking and presentations. The course develops through four themes—mastering fear, developing a creative formula, using verbal and body language, and anticipating the room—so that you can discover your personal power as a speaker and give excellent presentations.  

Successful presentations do not rely on perfect teeth, a deep voice, or an army of scriptwriters.  They depend largely on the same skills as successful Business Writing and Graphic Design: clarity, structure, and revision. The goal of the course, therefore, is to enable you to discover your own internal power as a speaker and express it to the world.  After this course, with some practice, you will be able to go into any situation and command the room for as long as you like.

This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""2679701""]","[""Professor William Kuskin""]",BEGINNER,Successful Presentation,"[""71""]",http://coursera-university-assets.s3.amazonaws.com/e1/d25de6c2be4186a8884c35a4284184/Boulder-FL.png,"[""University of Colorado Boulder""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/84/359f20267311e69594e35d2e0b5815/specialization-logo.jpg,"[""en""]","[""zNtJTbPUEeWVOwrJiBe1eQ""]",presentation-skills,[],"4  weeks of study, 2 hours/week",h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",DpRtb8fiEfCwMBJK692osw,v2.ondemand,"Advance your B2B sales skills by adopting consultative selling frameworks that drive trust and influence long-term buyers. This course focuses on core methodologies for uncovering customer needs, negotiating effectively, and personalizing every stage of the sales process for diverse markets. Through scenario-based learning and real-world projects, you’ll develop the confidence to engage C-suite officers, respond to RFPs, and craft winning presentations—laying the groundwork for impactful, scalable client partnerships in the US and India.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""187597289""]","[""LearnQuest Network""]",BEGINNER,Consultative Selling and Buyer Engagement,"[""527""]",http://coursera-university-assets.s3.amazonaws.com/ae/99864058c04a11a6b3fec071f69cc6/logo.png,"[""LearnQuest""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d3/7e6c0d3e784260af9a4853d2b0cdde/STC01-C2.jpeg,"[""en""]","[""-ZEgT6O5TSiKzIsBYDfiaA""]",consultative-selling-and-buyer-engagement,[],"3 weeks of study, 3 hours/week",h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",hmyzjQvbEfG9CxK6IWgpAw,v2.ondemand,"This short course helps you turn coursework into job-ready career assets. You’ll clarify a career narrative with an AI-guided dialogue, watch an industry story for inspiration, and read concise guidance on resumes and portfolio curation. The core hands-on lab walks you through selecting 3–5 artifacts, annotating each for measurable impact, and drafting three quantified accomplishment statements plus a targeted LinkedIn/resume summary. You’ll practice high-pressure interview responses in an AI role-play that gives structured feedback. A final assessment asks you to submit one annotated artifact, three accomplishment statements, and your resume summary. All activities use templates, sample prompts, and clear rubrics so you can complete work without paid tools.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""185939614""]","[""Professionals from the Industry""]",BEGINNER,"Portfolio, Interview, and Job Strategy","[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7d/34b602495042aaa696cf2075c8c6f4/project-management.png,"[""en""]","[""Zblo-5bRTuOWjj0jCGkuDg""]",portfolio-interview-and-job-strategy,[],2 hours,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",_XD-9da5EfCilA75SlTASQ,v2.ondemand,"The CREO Negotiation for Leaders Course supports professionals and leaders in developing practical negotiation skills to communicate needs, manage expectations, and reach effective agreements. The course focuses on negotiation as a structured, strategic process rather than an adversarial exchange, enabling learners to approach deal-making with clarity, confidence, and purpose.
Participants explore key negotiation concepts, including preparation, value creation, stakeholder interests, and decision-making dynamics. Through applied frameworks and real-world examples, learners develop strategies to structure negotiations, articulate positions clearly, and respond constructively to pressure and resistance. The course also addresses communication techniques that support credibility, relationship management, and long-term outcomes across different negotiation contexts.
By emphasizing preparation, adaptability, and strategic thinking, the course equips learners to negotiate more effectively in professional, leadership, and organisational settings.
By the end of this course, you will be able to:
- Explain key principles and stages of effective negotiation
- Prepare a structured negotiation strategy aligned with desired outcomes
- Apply communication techniques to express needs and expectations clearly
- Assess interests, trade-offs, and options in negotiation scenarios
- Use practical tools to reach balanced and sustainable agreements
Prerequisites:
- No prior negotiation or leadership training is required. The course is suitable for professionals, managers, and emerging leaders seeking to strengthen their negotiation and deal-making capabilities.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""197137166""]","[""Martine Abboud""]",BEGINNER,Negotiations For Leaders,"[""4044""]",http://coursera-university-assets.s3.amazonaws.com/0f/adf91a0a1847609ed19f7c47c1a7d2/200px-x-48px-png.png,"[""Creo Incubator""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a9/bad7420aea4aaba54b67337dfedb49/Negotiations-.png,"[""en""]","[""1-_zeKOiRuqHKVtbS49Qvw"", ""49pDBxRKQSuwmZSIkAojnQ"", ""XQjR8bfcT4K2QjFdeDJ2_g"", ""cjuk0VIqRayw-XvnZxu2AQ""]",negotiations-for-leaders,[],,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",5j-2ttq7EfCCHwr_ysMPHQ,v2.ondemand,"Investing time in your management skills will pay dividends for you and your team (and your boss!), yet most people never study management in any scientific way. Excellent management is actually easy to learn, but trying to pick it up by copying good or bad leaders is surprisingly difficult. Improvising as you go rarely leads to consistently effective results.

As a leader, there’s a lot on your plate. You’re expected to lead a team, make tough decisions, delegate work (without micromanaging!), and somehow keep everyone happy and productive. On top of that, you need to delegate properly, avoid burnout, and make your boss think you’ve got everything under control. The good news? This course is here to help.

You’ll learn the difference between management and leadership, how to delegate effectively, what your leadership options are, how to motivate different types of people, and when to empower others without slipping into abdication.

I designed this course specifically for people just like you—those thrown into the deep end of leadership who want practical advice that works right now. Whether you’re managing a small team or leading in a large organization, I’ll give you the tools and strategies you need to succeed.

You’ll love this course because it isn’t a boring list of “dos and don’ts.” It’s packed with real-world, practical advice that’s been tested by thousands of managers I’ve worked with. I’m Chris Croft, and with over 20 years of experience, I specialize in making leadership simple, practical, and even a bit fun.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""40710941""]","[""Chris Croft""]",BEGINNER,Management Complete Guide - Succeed in Leadership Roles,"[""4170""]",http://coursera-university-assets.s3.amazonaws.com/84/8e00673bb34d19ace743bf5051a7e2/wide-logo-marketing-small.png,"[""Chris Croft Training ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/75/f10c3ecad24aadbc2de88546becbcc/management-coursera-logo-image-remade-.png,"[""en""]","[""-CAfysyJSJ29O67AussZxA""]",management-leadership,[],,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",kaeos-XEEfCEtA75x5Rx3w,v2.ondemand,"By the end of this course, you will be able to clearly define your business direction, prioritize what truly matters, and make confident decisions using a simple one-page strategy. You’ll walk away with a practical plan that brings focus to your goals, daily actions, and revenue—without the overwhelm of traditional business planning.

In this course, entrepreneur and strategist Tamara Jensen guides you through a streamlined, step-by-step process to align your mission, audience, goals, activities, marketing, and revenue model on a single page. This course is unique because it cuts through complexity and helps you build a strategy you’ll actually use, one that supports both clarity and momentum.

This course is designed for solopreneurs at any stage, whether you’re just starting out, pivoting, or feeling scattered and ready to refocus. By the end of the course, you will be able to articulate your mission and vision, identify your ideal audience, set SMART goals, map core activities, choose effective marketing channels, and create a sustainable revenue model.

To be successful, no prior business background is required—just an open mind, a willingness to reflect, and a desire to create a clear, actionable roadmap for your business.","[{""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""186501695""]","[""Skillshare""]",BEGINNER,Your Solopreneur Strategy: Grow Your Business with Clarity,"[""3482""]",http://coursera-university-assets.s3.amazonaws.com/e1/4d7f292d0c4d36b0df5383a4cf6cb9/skillsharelogo_coursera_200x48_white.png,"[""Skillshare""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f1/e74f18c61d4479a9ebb7aee177ab11/651878_logoimages.png,"[""en""]","[""XbycpqdvRDiek_Z9SmULLg""]",your-solopreneur-strategy-grow-your-business-with-clarity,[],,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",7vsRodoREeetQAqJ6u44Wg,v2.ondemand,"Our primary goal is to help you to understand FinTech and to become more confident and persuasive in your ability to analyze and make recommendations to executives within the finance industry regarding how to react to these changes.

This FIRST MOOC ON FINTECH IN ASIA-PACIFIC offered by HKUST presents the insight of several professors from the top business school in Asia as well as perspectives from industry professionals.  HKUST has been ranked for many years as the No.1 EMBA program in the world, as the number one Finance program in Asia, and as the top MBA program in Asia by multiple independent rating and review journals and surveys.  

This course ""FinTech Foundations and Overview"" offers the combined strengths of HKUST in Business, Finance, and Technology as one the world's leading academic institutions on an important area of technology and business innovations.  For learners from outside Asia, this also gives an insight into changes happening in the most advanced FinTech markets of the world, since Asia leads worldwide in FinTech adoption and creative innovations.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""20086586""]","["" Theodore Henry King CLARK""]",BEGINNER,FinTech Foundations and Overview,"[""35""]",https://coursera-university-assets.s3.amazonaws.com/0a/3251bd0aca5bc1a90512cff8bc36ea/ustLogo.png,"[""The Hong Kong University of Science and Technology""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f0/21f0f0528e11e8afb22b437510cad0/Course-1-logo.jpg,"[""en""]","[""7sEVYtoREeeJmhI8jrj0HA""]",fintech,[],"7 hours of videos in total, plus a final project requiring about 5 hours to complete.",h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",Zt9u1Mi4Ee2XXwqx_-522w,v2.ondemand,"The rise of emerging economies is bringing significant changes in the marketing practice. The traditional notion of extending products and services designed for advanced economies is no longer as successful in emerging markets. This is primarily because of affordability and accessibility. Moreover, most consumption in emerging markets is unbranded products and services, and unorganized competition. This course identifies five dimensions where emerging markets are different. The traditional approach of think global, act local (glocal) is replaced by a new perspective of think local, act global, especially in large emerging markets such as China and India.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""120337354""]","[""Jagdish Sheth""]",BEGINNER,Emerging Markets - Jagdish Sheth,"[""123""]",http://coursera-university-assets.s3.amazonaws.com/18/62f229832049dc9e428519d5ff5c55/Medium-rectangle.png,"[""Kennesaw State University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/77/661655187f4d52bd6fb6c3b0c0a74a/4As-Thumbnail-03.png,"[""en""]","[""2BdtwX4uRteAa5ZAtbhNlw""]",emerging-markets,[],,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",OUaxU9ptEfCxtAr_9k9x9Q,v2.ondemand,"By the end of this course, learners will be able to analyze employee performance data, calculate performance-based increments, build and refine Pivot Tables, compare results across departments and locations, and evaluate budget deviations to support data-driven decisions.

This course provides a practical, hands-on case study focused on employee performance ratings, designed to help learners move beyond basic Excel functions into real-world analytical thinking. Learners will begin by understanding and preparing a structured dataset, applying formulas to compute performance metrics, and visualizing data relationships. The course then guides learners through constructing Pivot Tables to answer business questions, perform comparative analysis, and uncover meaningful performance trends.

What makes this course unique is its end-to-end, scenario-based approach. Instead of isolated Excel features, learners work through a single, coherent business case that mirrors real workplace analysis. Each step builds progressively, reinforcing analytical skills and practical problem-solving.

Upon completion, learners will gain job-relevant Excel skills, improved confidence in performance analysis, and the ability to transform raw HR data into actionable insights—skills directly applicable to roles in business analysis, HR analytics, and operations.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""136048342""]","[""EDUCBA""]",BEGINNER,Analyze Employee Performance Using Excel Pivot Tables,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9f/309ce82e8d41009e7592135d7706e0/164_1.png,"[""en""]","[""MI4jzMuzTVm4g4vtflZNcg""]",analyze-employee-performance-excel-pivot-tables,[],,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",2D5ghRIMEfGMqxJXqQYYkQ,v2.ondemand,"This financial analysis course develops the ability to evaluate financial performance using core ratio interpretation and structured financial analysis frameworks thereby equipping learners with the practical skills demanded across financial planning and analysis, investment, and strategic finance roles.

Learners begin with profitability ratios and return metrics, examining how organizations generate earnings and deploy capital based on income statement and balance sheet data. The course further explores liquidity ratios, efficiency ratios, and working capital management to assess operational effectiveness and short-term solvency. In the final module, learners analyze capital structure, interest coverage ratios, and benchmarking techniques to evaluate long-term financial stability and industry performance.

Throughout the course, emphasis is placed on interpreting financial statements in context henceforth enabling learners to identify organizational strengths, weaknesses, and financial risks through financial analysis of a company. By the end, participants will be equipped to apply ratio interpretation to assess profitability, efficiency, and overall financial health in real-world business settings.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""187770041"", ""141793623""]","["" Michael McDonald"", ""Starweaver""]",BEGINNER,Financial Analysis and Ratio Interpretation,"[""1510""]",http://coursera-university-assets.s3.amazonaws.com/1e/f13c265c4f4e93903e17d8c249e1a8/200-X-48.png,"[""STARWEAVER""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1d/acea23caf1442f896cb874bfc13b51/1200x1200px-Financial-Analysis-and-Ratio-Interpretation.jpg,"[""en""]","[""hemaPDgOSzWRoO6xDa1bJA""]",financial-analysis-and-ratio-interpretation,[],4 Hours,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",PXjhArl8Ee-Edgr_0TyPhw,v2.ondemand,"Updated in May 2025.

This course now features Coursera Coach!
 
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

Master the art of effective communication with this comprehensive course on Feedback Skills. Gain essential insights into giving and receiving feedback, ensuring your communication is constructive and impactful. By the end of this course, you’ll have the tools to deliver feedback that inspires growth and fosters collaboration.

Begin your journey by learning how to deliver negative feedback constructively, followed by best practices for giving and receiving feedback. Discover the emotional responses involved and how to navigate them effectively. Gain insights into crafting quality feedback and employing techniques that leave a lasting, positive impression on the recipient.

Next, explore the principles that underpin great feedback and dive deep into the nuances of constructive feedback. Learn to balance the positive with the critical, ensuring your communication supports personal and professional growth. Conclude with an exploration of feedback mechanisms to monitor progress and enhance performance continuously.

This course is ideal for professionals, managers, and leaders looking to elevate their communication skills. No prior experience is required, but a willingness to reflect on communication practices is essential. With a beginner-friendly approach, this course equips you with skills that are practical and immediately applicable.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""158375127""]","[""Packt - Course Instructors""]",BEGINNER,Feedback Skills,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a1/a4aeeb88d740a2bd955ecda8d3821a/V31674.jpg,"[""en""]","[""FIDJkC6ZTeWAQZrArf6MWQ"", ""omiuwo_RSIu9EfRvYhZWlw""]",packt-feedback-skills-zlnrj,[],,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",pINVYOCTEfCpuA4lGhMhsQ,v2.ondemand,"Learners will be able to analyze price trends, interpret technical indicators and oscillators, evaluate market cycles, and apply technical analysis across multiple asset classes including equities, fixed income, futures, currencies, options, and exchange-traded products.

This course provides a comprehensive introduction to technical analysis aligned with CMT Part I learning requirements. Learners develop a strong foundation in charting principles, trend and reversal analysis, Point & Figure techniques, momentum and breadth indicators, and cycle theory. Through structured modules, the course progresses from core price-based analysis to advanced applications across global financial markets, enabling learners to interpret market behavior with confidence and discipline.

By completing this course, learners gain practical skills to assess market direction, validate trading signals, manage risk through volatility awareness, and understand intermarket relationships. The course emphasizes real-world applicability, analytical rigor, and exam relevance, making it suitable for aspiring technical analysts, traders, portfolio managers, and finance professionals.

What makes this course unique is its integrated approach—combining classical charting, indicator analysis, cycle theory, and cross-asset application within a single, cohesive learning path—while maintaining strong alignment with professional certification standards and industry best practices.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""136048342""]","[""EDUCBA""]",BEGINNER,Analyze Financial Markets with Technical Analysis,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/96/bbff7ce7af42eeaae016fe18694326/135_1.png,"[""en""]","[""quLTnD9aQB-huGutOFc81A""]",analyze-financial-markets-technical-analysis,[],,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",Rbi3g07VEfGZjAr_63XrCw,v2.ondemand,"In this course, you will master the art of AI-driven marketing using Claude, moving far beyond basic prompt engineering to build sophisticated, long-form strategies. You’ll learn to leverage Claude’s massive context window for deep market synthesis, craft high-conversion copy for ads and emails, and scale your brand’s visual identity without losing the human touch.

What makes this course unique is our rigorous focus on the ""human-in-the-loop"" framework. We don’t just show you how to generate content; we teach you how to audit, edit, and fact-check AI outputs to eliminate the sterile ""AI smell"" and maintain absolute brand integrity. You will explore advanced techniques in SMM automation, visual prompting for image generation, and the critical nuances of ethical data handling within regulated industries.

Whether you are a seasoned marketer looking to turbocharge your workflow or a founder building a brand from scratch, you’ll gain a structured treasure trove of practical frameworks. By the end of this program, you will transform Claude into a strategic partner that understands your brand’s nuances as well as you do, allowing you to execute complex, multi-channel campaigns with unprecedented speed and precision.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""179742967""]","[""Anton Voroniuk""]",BEGINNER,Claude AI for Marketing,"[""3321""]",http://coursera-university-assets.s3.amazonaws.com/96/7cfa28bf8f4217a3c4f8577f3add79/200-48.png,"[""SkillsBooster Academy""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a5/55326187bc4bfabaf1d6100d8736fd/Claude-AI-for-Marketing-1200x1200.png,"[""en""]","[""TXcuvJ5pQHGGNQ1JZo9X_g""]",claude-ai-for-marketing,[],4 hours,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",H9ijwcbvEfCdRxI8njT0XQ,v2.ondemand,"The CREO Critical Thinking for Decision Making Course supports professionals in developing a structured approach to analysing problems and making well-reasoned decisions. The course focuses on critical thinking as an applied workplace skill—helping learners slow down automatic reactions, challenge assumptions, and evaluate information objectively before choosing a course of action.
Participants explore practical tools for defining problems, identifying relevant evidence, and examining different perspectives. The course also addresses common cognitive biases and reasoning errors that can affect judgment, especially under pressure or uncertainty. Through real-world scenarios and applied exercises, learners practise building clear arguments, testing options against criteria, and communicating decisions with rationale.
By emphasising systematic thinking and reflective questioning, the course enables learners to approach complex situations with greater clarity, consistency, and confidence.
By the end of this course, you will be able to:
- Define and frame problems using a structured approach
- Identify assumptions, biases, and gaps in reasoning
- Analyze information and viewpoints to evaluate options
- Apply decision criteria to compare alternatives
- Justify decisions using clear and evidence-based reasoning
Prerequisites:
- No prior training in critical thinking or logic is required. The course is suitable for professionals and emerging leaders who want to improve decision-making in workplace contexts.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""197137166""]","[""Martine Abboud""]",BEGINNER,Critical Thinking for Decision Making,"[""4044""]",http://coursera-university-assets.s3.amazonaws.com/0f/adf91a0a1847609ed19f7c47c1a7d2/200px-x-48px-png.png,"[""Creo Incubator""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bf/f4ee3b5c3a45809617115d0ef8dfbb/Critical-Thinking-for-Decision-Making.png,"[""en""]","[""1-_zeKOiRuqHKVtbS49Qvw"", ""ewiCiK-2SMOuIRmHJTfbxw""]",critical-thinking-for-decision-making,[],,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",dQgZv77SEfC4_Q5X5BH3bw,v2.ondemand,"Did you know that 82% of small businesses fail due to poor cash flow management? Financial ratios are the early warning system that can prevent this crisis.

This Short Course was created to help accounting professionals accomplish mastery of essential financial metrics analysis that drives business insights.

By completing this course, you'll be able to confidently define key financial ratios like current ratio, gross margin, and days-sales-outstanding, then apply proven calculation methods using spreadsheet tools to identify critical variances that inform strategic decisions. You'll transform raw financial data into actionable intelligence that supports daily operations and monthly close processes.

By the end of this course, you will be able to:
Recall definitions of key financial metrics with precision and clarity.
Apply calculation methods to determine performance indicators and spot unusual trends.

This course is unique because it bridges foundational knowledge with practical application, using real business scenarios and spreadsheet techniques that mirror actual workplace practices in accounting environments.

To be successful in this project, you should have a background in basic accounting principles and familiarity with spreadsheet software.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""193200302""]","[""Hurix Digital""]",BEGINNER,Financial Ratios: Analyze & Apply Key Metrics,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/72/438521552a46f48877da80c51a722c/bookeepingcourse.png,"[""en""]","[""0L_uZrZ8R-mHFuGshiYLMQ"", ""8Ul5YaYpSOeAlXQfPNV1wQ""]",financial-ratios-analyze--apply-key-metrics,[],101 minutes,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",c1uzqvXpEfCFRg7t6P8RhQ,v2.ondemand,"Clear reporting transforms marketing professionals from data collectors into strategic decision-makers. This Short Course was created to help marketers accomplish the critical skill of translating campaign metrics into actionable insights that drive team success.

By completing this course, you'll be able to summarize campaign performance effectively and prepare professional reports that demonstrate your marketing expertise to leadership and colleagues.

By the end of this course, you will be able to:
Summarize the components of a basic email campaign performance report
Prepare a one-page summary report of the latest campaign for team review

This course is unique because it focuses on the often-overlooked skill that differentiates high-performing marketers: the ability to transform raw data into compelling narratives that influence decisions.

To be successful in this project, you should have basic familiarity with email marketing platforms and experience interpreting simple performance metrics.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""193200302""]","[""Hurix Digital""]",BEGINNER,Report Results Clearly,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/14/24745eada043d695f24d3b26cffc64/Logo-Image-1200-X-1200.png,"[""en""]","[""jChdP5zsTlGa5aDPAP6gTA""]",report-results-clearly,[],60 minutes ,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert""]",fDvmsgo5EfGaeQr_0lkuzQ,v2.ondemand,"Based on the book, Artificial Intelligence in Practice, by Bernard Marr and Matt Ward. Artificial Intelligence is transforming how organizations operate, compete, and innovate across industries. This course explores how leading global companies apply AI, machine learning, and deep learning to drive growth, efficiency, and customer value in the real world.

Through in-depth case studies of organizations such as Amazon, Google, Microsoft, and Tesla, you will discover how AI powers retail, healthcare, finance, manufacturing, media, and beyond. You will gain practical insights into how businesses use AI for fraud detection, recommendation systems, automation, predictive analytics, customer personalization, and operational optimization. By the end of the course, you will be equipped to identify AI opportunities within your own organization and contribute to AI-driven strategy.

What makes this course unique is its strong focus on real-world implementation rather than abstract theory. Each module connects AI concepts to tangible business outcomes, showing how industry leaders turn data and algorithms into measurable competitive advantage.

This course is ideal for business professionals, managers, entrepreneurs, consultants, and technology leaders who want to understand how AI creates value in practice. No programming experience is required, but a basic understanding of business concepts and digital technologies will be helpful.

Copyright 2019 Bernard Marr, John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, United Kingdom","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""205323684""]","[""Wiley Skills Network""]",BEGINNER,Artificial Intelligence in Practice for Business,"[""4357""]",http://coursera-university-assets.s3.amazonaws.com/be/8b133d3a37459386cbb52dc93d808d/Wiley_Wordmark_black_RGB.png,"[""John Wiley & Sons""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ea/4eb69a8aeb481ea35933e2ae415cf5/Artificial-Intelligence-in-Practice-for-Business---Square.png,"[""en""]",[],wiley-artificial-intelligence-in-practice-for-business,[],,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",VxrMTYS7EfCp-hKD3w1ByQ,v2.ondemand,"Welcome to the “Introduction to AI for marketing professionals” — a unique, hands-on course designed to help you build foundational AI and Generative AI literacy. In this course, you’ll discover how Generative AI is transforming the marketing profession, explore key risks and best practices, while experimenting with powerful AI tools in interactive, marketing-focused applications.

By the end of this course, you will be able to: 
- Understand the fundamentals of AI and its potential opportunities in marketing
- Explore and recognize risks and limitations associated with AI and how to address them  
- Practice with different AI tools to get hands-on experience  
- Get started with essential prompting techniques for using different Generative AI models
- Discover and try out various marketing-specific use cases and AI technologies, explore the ways to integrate them into daily job routines 
- Participate in a project to generate a marketing-specific AI use case idea with an interest in programming.
- Prepare for the next phase of your AI journey, progressing from foundational to advanced applications 

Welcome to the unique “Introduction to AI for marketing professionals” course. Just start your AI journey and discover all the fascinating opportunities opened up for you by Artificial Intelligence.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""181352174""]","[""AI Business School""]",BEGINNER,Introduction to AI for marketing professionals,"[""3341""]",http://coursera-university-assets.s3.amazonaws.com/b2/ea7d5b8c7a4bf7a34a9f08b944eee7/200x48-logo.png,"[""AI Business School""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/16/bc3c85a3f34353a36f5e449969b9f0/Course-1-1200x1200.png,"[""en""]","[""lEu8YQmyTiyL5NClQAUF_g""]",introduction-to-ai-for-marketing-professionals,[],,h0LCrnOtIDjTk6yOX,Nqzmmhc72Kiso6atg
[],"[""VerifiedCert"", ""Specialization""]",sHQ_36miEfC1FA5Nz5DuqQ,v2.ondemand,"""Tired of """"God Classes"""" and spaghetti code in your Java ML projects? This course, """"Enhance Java ML Design with SOLID Principles,"""" is for senior developers and architects ready to build resilient software. The secret to reliable systems is accepting that requirements always evolve. Master the S.O.L.I.D. principles to write code that embraces future changes with minimal impact.

This course is designed for senior Java developers and architects with at least 6 months of hands-on experience in Java programming and basic knowledge of machine learning. If you're ready to tackle ""God Classes"" and spaghetti code, and want to optimize your Java ML projects with SOLID principles for scalability, maintainability, and flexibility, this course is for you.

To get the most out of this course, learners should have at least 6 months of hands-on experience with Java programming, including a solid understanding of object-oriented programming (OOP) concepts such as classes, interfaces, and abstract classes. Additionally, a basic knowledge of machine learning (ML) concepts is essential to fully grasp how to apply SOLID principles to Java ML projects.

By the end of this course, you’ve unlocked the power of SOLID principles to create flexible, scalable, and maintainable Java ML systems. You now have the tools to refactor messy code, design modular components, and evaluate trade-offs between performance and design. With your newfound expertise in SOLID, Maven, Gradle, and best practices, you're ready to build production-ready machine learning applications that can evolve with ease. Keep applying these principles, and your code will become more reliable and adaptable with every project. Best of luck as you continue to level up your skills in Java and machine learning!","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""180467741""]","[""Scott Cosentino""]",ADVANCED,Apply SOLID Design to Optimize Java ML,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/30/670b0e75da459aa8273bd6771ef42d/Thumbnail-1200x1200px-Apply-SOLID-Design-to-Optimize-Java-ML.jpg,"[""en""]","[""iIJOJa-_T4ihIpEnHZV9hQ""]",apply-solid-design-to-optimize-java-ml,[],60 minutes,parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert""]",gFs88KoZEeywagovoAKHOQ,v2.ondemand,"Dans ce cours, vous profiterez de l'expérience d'ingénieurs et de formateurs en ML qui développent des pipelines de ML chez Google Cloud à l'aide de technologies de pointe. Les premiers modules porteront sur TensorFlow Extended (TFX), la plate-forme Google de machine learning de production basée sur TensorFlow et conçue pour gérer des pipelines et des métadonnées de ML. Vous explorerez les composants de pipelines et apprendrez à orchestrer des pipelines avec TFX. Vous verrez également comment automatiser vos pipelines au moyen d'une intégration et d'un déploiement continus, et comment gérer des métadonnées de ML. Ensuite, nous découvrirons comment automatiser et réutiliser des pipelines de ML sur plusieurs frameworks de ML tels que TensorFlow, PyTorch, scikit-learn et XGBoost. Vous apprendrez également à utiliser Cloud Composer, un autre outil Google Cloud, pour orchestrer vos pipelines d'entraînement continu. Enfin, nous verrons comment utiliser MLflow pour gérer l'ensemble du cycle de vie du machine learning.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,ML Pipelines on Google Cloud - Français,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c5/7142bf27034e37bac15c269c660ff4/new-ml-on-gcp-logo-1-.jpeg,"[""fr""]",[],ml-pipelines-google-cloud-fr,[],"3 weeks of study, 6-8 hours/week",parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert"", ""Specialization""]",UdOI1IOlEeiFWQ550S4zqg,v2.ondemand,"This course is designed for scientists, engineers, students, and professionals looking to develop efficient solutions for high-performance and distributed computing systems. It focuses on parallel programming using the Message Passing Interface (MPI), a standard for scalable communication across multiple processors. Learners should have basic programming experience in C or C++ and familiarity with Linux. No prior knowledge of MPI is required.

This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.","[{""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""7385287"", ""27038323""]","[""Shelley Knuth "", ""Thomas Hauser ""]",ADVANCED,Parallel Computing with MPI,"[""71""]",http://coursera-university-assets.s3.amazonaws.com/e1/d25de6c2be4186a8884c35a4284184/Boulder-FL.png,"[""University of Colorado Boulder""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f1/0dcfe8563a4081a89f36972761a470/1623278.jpg,"[""en""]","[""fCkZXdrFEeehHxKairrgtA""]",advanced-parallel-computing-mpi,[],"5 weeks, 2-3 hours/week",parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert"", ""Specialization""]",_Skr289cEfCU-Q7WBWkc7Q,v2.ondemand,"This course features Coursera Coach!
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.
This course dives deep into applied machine learning and model optimization, covering everything from foundational concepts to advanced algorithms. You'll gain hands-on experience working with different types of machine learning models, evaluating their performance, and fine-tuning them for optimal results. The course emphasizes practical, real-world applications, with interactive projects and mini-projects to ensure you can implement what you learn.
Throughout the course, you'll explore core machine learning algorithms such as regression, classification, ensemble methods, and advanced techniques like XGBoost and LightGBM. You'll also focus on model optimization, including hyperparameter tuning, cross-validation, and regularization techniques. These skills will allow you to enhance the performance of your models, even in complex scenarios.
This course is designed for learners who already have a basic understanding of machine learning and wish to build more advanced skills in model building and optimization. It is ideal for those looking to pursue careers in data science, machine learning engineering, or AI development.
By the end of the course, you will be able to implement various machine learning algorithms, optimize model performance using hyperparameter tuning, and evaluate models effectively for real-world tasks.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""158375127""]","[""Packt - Course Instructors""]",ADVANCED,Applied Machine Learning and Model Optimization,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b0/b4a715b9dc40b7997681f1c30c7640/V36605-skill_image_square.jpg,"[""en""]","[""5VkpdDVFQiKMIAVGomtsTA""]",packt-applied-machine-learning-and-model-optimization-bdmof,[],,parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert"", ""Specialization""]",w_JjSK2gEfCGlBJtqmuNxw,v2.ondemand,"This comprehensive course teaches students to build machine learning models using Java, with focused emphasis on entropy as the mathematical foundation for intelligent decision-making algorithms. Students implement entropy calculations from scratch, learning how information gain drives optimal splitting decisions in classification algorithms. 

The curriculum covers building complete decision tree classifiers using the ID3 algorithm, implementing recursive tree construction, handling stopping conditions, and mastering evaluation techniques including train-test splits, confusion matrices, and performance metrics like accuracy, precision, and recall. Advanced topics include handling continuous attributes and missing values, building random forest ensemble models for improved accuracy, and deploying production-ready systems with model persistence and prediction interfaces. The course emphasizes hands-on implementation with demonstrations and lab exercises where students build ML systems from scratch. By the final project, students create an end-to-end customer churn prediction system, synthesizing entropy theory, algorithm implementation, evaluation, and deployment skills.""		

Java developers and data enthusiasts who want to understand machine learning from the ground up by building decision trees and random forests in Java and applying them to real-world problems.

Basic Java programming skills, familiarity with object-oriented concepts, and experience using common data structures like Lists and Maps.

By the end of this course, you’ll be able to build, evaluate, and deploy entropy-based machine learning models in Java. You’ll implement decision trees and random forests, apply core evaluation metrics, and turn theory into practical, real-world ML solutions.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""141793623"", ""180467741""]","[""Starweaver"", ""Scott Cosentino""]",ADVANCED,Build Robust Java ML Models with Entropy,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bf/b757b772eb4fc08a3d6ae5ef8377ad/Thumbnail-1200x1200px-Building-ML-Models-in-Java-Using-Entropy.png,"[""en""]","[""iIJOJa-_T4ihIpEnHZV9hQ""]",build-robust-java-ml-models-with-entropy,[],180 minutes,parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert""]",o7x5NcrEEeqoMgraqyGQyQ,v2.ondemand,"The course introduces you to cutting-edge research in the economics of AI and the implications for economic growth and labor markets. We start by analyzing the nature of intelligence and information theory. Then we connect our analysis to modeling production and technological change in economics, and how these processes are affected by AI. Next we turn to how technological change drives aggregate economic growth, covering a range of scenarios including a potential growth singularity. We also study the impact of AI-driven technological change on labor markets and workers, evaluating to what extent fears about technological unemployment are well-founded. We continue with an analysis of economic policies to deal with advanced AI. Finally, we evaluate the potential for transformative progress in AI to lead to significant disruptions and study the problem of how humans can control highly intelligent AI algorithms.","[{""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""2962000""]","[""Anton Korinek""]",ADVANCED,The Economics of AI,"[""18""]",http://coursera-university-assets.s3.amazonaws.com/0f/80aa19dc384a7482ea6f428601255d/uva_primary_rgb.png,"[""University of Virginia""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7b/ab3341c77d4c3899def0f7bb77b3af/money.png,"[""en""]",[],economics-of-ai,[],"6 weeks of study, 6 - 12 hours/week",parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert"", ""Specialization""]",V8j31h_qEe2Psg5YTxx2NQ,v2.ondemand,"This course covers two of the most popular open source platforms for MLOps (Machine Learning Operations): MLflow and Hugging Face. We’ll go through the foundations on what it takes to get started in these platforms with basic model and dataset operations. You will start with MLflow using projects and models with its powerful tracking system and you will learn how to interact with these registered models from MLflow with full lifecycle examples. Then, you will explore Hugging Face repositories so that you can store datasets, models, and create live interactive demos. 

By the end of the course, you will be able to apply MLOps concepts like fine-tuning and deploying containerized models to the Cloud. This course is ideal for anyone looking to break into the field of MLOps or for experienced MLOps professionals who want to improve their programming skills.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""74686063"", ""81359500""]","[""Noah Gift"", ""Alfredo Deza""]",ADVANCED,MLOps Tools: MLflow and Hugging Face,"[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cd/2a3574c51a4ad09651355a38a00490/Open-Source-MLOps.png,"[""en""]","[""YL9kJR_pEe2R_wo2RF6FuQ""]",mlops-mlflow-huggingface-duke,[],"4 weeks of study, 3-5 hours/week",parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert""]",DVTTX6oZEeyjPxJkzIUqCw,v2.ondemand,"이 과정에서는 Google Cloud에서 최신 ML 파이프라인 개발을 담당하는 ML 엔지니어와 트레이너로부터 유익한 지식을 배웁니다. 초반에 진행되는 몇 개 모듈에서는 Google의 TensorFlow 기반 프로덕션 머신러닝 플랫폼으로서 ML 파이프라인과 메타데이터를 관리할 수 있는 TensorFlow Extended(TFX)에 대해 다룹니다. 파이프라인 구성요소와 TFX를 사용한 파이프라인 조정을 알아봅니다. 지속적 통합과 지속적 배포를 통해 파이프라인을 자동화하는 방법과 ML 메타데이터를 관리하는 방법도 배웁니다. 그런 다음 주제를 전환하여 TensorFlow, PyTorch, scikit-learn, xgboost 등 여러 ML 프레임워크에서 ML 파이프라인을 자동화하고 재사용하는 방법을 설명합니다. 또한 Google Cloud의 또 다른 도구인 Cloud Composer를 사용하여 지속적 학습 파이프라인을 조정하는 방법도 알아봅니다. 마지막으로 MLflow를 사용하여 머신러닝의 전체 수명 주기를 관리하는 방법을 살펴봅니다.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,ML Pipelines on Google Cloud - 한국어,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c5/7142bf27034e37bac15c269c660ff4/new-ml-on-gcp-logo-1-.jpeg,"[""ko""]",[],ml-pipelines-google-cloud-ko,[],"3 weeks of study, 6-8 hours/week",parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert"", ""Specialization""]",DMj3I-RZEemNmw4gGersHg,v2.ondemand,"This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll  explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning. 

Next, this course introduces the machine learning tools available in Microsoft Azure. We'll review standardized approaches to data analytics and you'll receive specific guidance on Microsoft's Team Data Science Approach. As you go through the course, we'll introduce you to Microsoft's pre-trained and managed machine learning offered as REST API's in their suite of cognitive services. We'll implement solutions using the computer vision API and the facial recognition API, and we'll do sentiment analysis by calling the natural language service.   

Using the Azure Machine Learning Service you'll create and use an Azure Machine Learning Worksace.Then you'll train your own model, and you'll deploy and test your model in the cloud. Throughout the course you will perform hands-on exercises to practice your new AI skills. By the end of this course, you will be able to create, implement and deploy machine learning models.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""45581918"", ""187597289""]","[""Ronald J. Daskevich, DCS"", ""LearnQuest Network""]",ADVANCED,Developing AI Applications on Azure,"[""527""]",http://coursera-university-assets.s3.amazonaws.com/ae/99864058c04a11a6b3fec071f69cc6/logo.png,"[""LearnQuest""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0c/22dc8892a34b12a0fcc35d015ca923/Cloud-Image_Coursera.png,"[""en""]","[""xk2vPeiHSxeSavdsuDTkOA""]",developing-ai-applications-azure,[],,parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert"", ""Specialization""]",Hcki9h08EfGvRRI0yDZmRQ,v2.ondemand,"This course delves into advanced deep reinforcement learning (RL) algorithms, exploring state-of-the-art techniques such as DQN extensions, policy gradients, and actor-critic methods. It focuses on optimizing and extending RL models to address complex real-world tasks, making it essential for professionals working with AI in dynamic environments.

Through a blend of theoretical discussions and practical applications, this course enables learners to apply RL strategies across domains like gaming, stock trading, and natural language environments. You’ll learn how to accelerate training processes and improve performance in diverse settings.

By mastering these advanced RL algorithms, learners gain the ability to tackle complex challenges in various domains confidently. The course focuses on not just understanding the theory behind the algorithms but also implementing them effectively in practical scenarios.

The course is perfect for professionals with a solid understanding of machine learning, especially those seeking to enhance their RL skills. Ideal for those working in AI development, game design, or financial modeling, it offers in-depth insights and actionable skills.

This course is part two of a three-course Specialization designed to provide a comprehensive learning pathway in Reinforcement Learning. While it delivers standalone value, learners seeking an in-depth progression may benefit from completing the full Specialization.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""158375127""]","[""Packt - Course Instructors""]",ADVANCED,Advanced Deep RL Algorithms and Applications,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/54/e9261e107f45e5ae334519688c923b/9781835882702_-2_square.jpg,"[""en""]","[""YeceSQeGQAqi8WQamEp11g""]",packt-advanced-deep-rl-algorithms-and-applications-bsq6l,[],,parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert"", ""Specialization""]",j2E4FDJ9EfGKNg4_zCtCxQ,v2.ondemand,"In the rapidly advancing field of AI, fine-tuning, optimizing, and deploying models like DeepSeek are essential for building specialized, scalable systems. This course covers the most advanced techniques in AI model development, focusing on DeepSeek's adaptation for domain-specific applications such as legal reasoning, performance optimization, and deployment strategies.

Through in-depth lessons, learners will explore the fine-tuning process for improving model accuracy, optimizing performance, and deploying DeepSeek models in production environments. You will delve into topics like model distillation, cloud-based deployment strategies, and cost management, enabling you to scale AI systems effectively while ensuring performance meets real-world needs.

What makes this course stand out is its practical focus on deployment scenarios and optimization strategies that help learners apply their knowledge directly to the challenges they will encounter in professional settings. You'll gain the expertise to make strategic decisions regarding deployment frameworks, hardware, and production operations, making your AI models not only efficient but also sustainable in long-term applications.

This course is ideal for AI practitioners, engineers, and data scientists with experience in machine learning or deep learning. It requires familiarity with machine learning concepts and AI deployment practices.

This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""158375127""]","[""Packt - Course Instructors""]",ADVANCED,"Advanced DeepSeek: Fine-Tuning, Optimization, and Deployment","[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cf/9791f3c3d54bcd83d1afe6e213f1d4/9781806020850_3_square.jpg,"[""en""]","[""ETcXtwNyQ06gzBBDFl7Zzg""]",packt-advanced-deepseek-fine-tuning-optimization-and-deployment-rviwf,[],,parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert""]",Ure5_IhEEe6MNAqxPFxNyQ,v2.ondemand,"En este curso, analizaremos los componentes y las prácticas recomendadas de la creación de sistemas de AA de alto rendimiento en entornos de producción. Veremos algunas de las consideraciones más comunes tras la creación de estos sistemas, p. ej., entrenamiento estático, entrenamiento dinámico, inferencia estática, inferencia dinámica, TensorFlow distribuido y TPU. Este curso se enfoca en explorar las características que conforman un buen sistema de AA más allá de su capacidad de realizar predicciones correctas.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,Production Machine Learning Systems - Español,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/db/fe3330c66b11e8af05e72e81831a46/adv-ml-gcp-3x.png,"[""es""]",[],gcp-production-ml-systems-es,[],5 - 7 hours per week,parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert"", ""Specialization""]",U6Iovh0-EfGuBw5BLqxbOQ,v2.ondemand,"Master the latest advancements in deep reinforcement learning, including continuous action spaces, trust region methods, black-box optimization, and multi-agent systems. Explore innovative approaches and real-world case studies at the frontier of RL research.

This course explores cutting-edge topics such as continuous control, trust region policy optimization, advanced exploration strategies, and reinforcement learning with human feedback. Learners will investigate high-profile applications like AlphaGo Zero and MuZero, as well as RL for discrete optimization and multi-agent environments. By engaging with these advanced topics, you will gain a comprehensive understanding of the current landscape and future directions of deep RL.

The course presents complex concepts through accessible explanations and practical examples, guiding learners through the latest research and its implementation. Emphasis is placed on understanding the motivations and mechanics behind each technique, fostering both depth and breadth of knowledge.

Designed for learners with a foundational understanding of RL, this course will deepen your expertise and prepare you for practical implementation in cutting-edge research and industry applications.

This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in Reinforcement Learning. While it delivers standalone value, learners seeking an in-depth progression may benefit from completing the full Specialization.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""158375127""]","[""Packt - Course Instructors""]",ADVANCED,Cutting-Edge Topics in Deep Reinforcement Learning,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f2/4119456bd94f32b8d309ab537b599b/9781835882702_-3_square.jpg,"[""en""]","[""YeceSQeGQAqi8WQamEp11g""]",packt-cutting-edge-deep-reinforcement-learning-xd3cs,[],,parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert"", ""Specialization""]",B0WS0Eo4EfGVLBLoSAy90Q,v2.ondemand,"Enhance your skills in prompt engineering with advanced strategies and ethical considerations. This course dives deep into application-specific approaches, offering the tools to optimize and personalize prompts for cutting-edge AI models like OpenAI's GPT, DALL-E, and more. You will explore advanced topics such as iterative improvement, bias reduction, and ethical prompt design, which are essential for building reliable AI systems.

The course focuses on the practical application of advanced techniques, including A/B testing, multilingual prompt design, and multimodal AI models. Real-world examples and quizzes will ensure learners can immediately apply these strategies to domains like education, coding, and entertainment.

What sets this course apart is its ability to merge advanced theory with hands-on exercises, allowing learners to adapt and innovate in the field of prompt engineering. Critical thinking and ethical awareness are at the core of prompt creation, making this course ideal for anyone working with advanced AI systems.

Ideal for professionals seeking to specialize in AI prompt engineering, this course benefits those with a foundational understanding of AI and prompt design. Learners will develop advanced techniques and gain the confidence to tackle more complex AI-driven projects.

This course is part two of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

Copyright © 2024 by John Wiley & Sons, Inc. All rights reserved. 
Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Published simultaneously in Canada. 
Used by arrangement with John Wiley & Sons, Inc.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""205323684""]","[""Wiley Skills Network""]",ADVANCED,Advanced Techniques and Applications in Prompt Engineering,"[""4357""]",http://coursera-university-assets.s3.amazonaws.com/be/8b133d3a37459386cbb52dc93d808d/Wiley_Wordmark_black_RGB.png,"[""John Wiley & Sons""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/97/78c2a38cbf462fab448caf1662bf50/9781807302054_2_square.jpg,"[""en""]","[""5Oj-kK8pS5mhl_j-6x-0Qw""]",wiley-advanced-techniques-and-applications-in-prompt-engineering,[],,parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert"", ""Specialization""]",rx1zKam2EfC7FAr_15dkeQ,v2.ondemand,"This course features Coursera Coach!
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

This advanced course on Prompt Engineering and Memory Management offers you a deep dive into techniques that enhance the performance and interaction of Large Language Models (LLMs). Starting with the basics of prompt engineering, you will explore a variety of advanced strategies, from few-shot to zero-shot and chain-of-thought prompting. As you progress, you’ll dive into context and memory management, learning how LLMs retain and utilize memory for more sophisticated interactions. The course’s hands-on projects help you apply each technique, ensuring that you not only understand the theory but also gain practical experience with real-world scenarios.

The course also covers retrieval-augmented generation (RAG), a cutting-edge method that integrates external data retrieval with generative AI to enhance model responses. Throughout the modules, you'll engage in building and optimizing complex workflows, from setting up memory management for chatbots to constructing a complete RAG pipeline. You'll explore its integration into user interfaces, making the final product both functional and user-friendly.

This course is ideal for intermediate to advanced learners with a background in AI or programming. It focuses on individuals interested in refining their skills in AI model optimization, particularly in the areas of prompt design, memory management, and RAG application development.

By the end of the course, you will be able to implement advanced prompting techniques, manage context and memory in LLMs, develop a functional RAG pipeline, and integrate these systems into interactive applications.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""158375127""]","[""Packt - Course Instructors""]",ADVANCED,Advanced Prompt Engineering and Memory Management,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/59/c374bc0b0042788b33c9053eba3911/V34312.jpg,"[""en""]","[""Jy464IRXS3q1vQ4h-1LuUA""]",packt-advanced-prompt-engineering-and-memory-management-0h7qa,[],,parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert"", ""Specialization""]",Y23EubLbEeiKUAqNzm0xRA,v2.ondemand,"This course describes different types of computer vision use cases and then highlights different machine learning strategies for solving these use cases. The strategies vary from experimenting with pre-built ML models through pre-built ML APIs and AutoML Vision to building custom image classifiers using linear models, deep neural network (DNN) models or convolutional neural network (CNN) models. 

The course shows how to improve a model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting the data. 

The course also looks at practical issues that arise, for example, when one doesn't have enough data and how to incorporate the latest research findings into different models.

Learners will get hands-on practice building and optimizing their own image classification models on a variety of public datasets in the labs they will work on.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,Computer Vision Fundamentals with Google Cloud,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a4/99eae0bd3f11e88d1bdf247fdfe9da/adv-ml-gcp-3x.png,"[""en""]","[""child~sA-5ClqkEe2w_w4kwSRnwQ""]",image-understanding-tensorflow-gcp,[],5 - 7 hours per week,parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert""]",5SN8mDs8EfCGRg44G5OASw,v2.ondemand,"This course features Coursera Coach!
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.
This advanced course offers an in-depth exploration of behavior trees in Unity 6, focusing on the implementation of AI-driven gameplay mechanics. You'll gain the skills to build complex AI systems that respond intelligently to dynamic game environments, creating immersive player experiences. Throughout the course, you'll dive into behavior tree concepts such as sequences, selectors, and node extensions, as well as advanced techniques like dynamic priority changes and agent cooperation.
The course guides you through practical applications, from setting up pathfinding in Unity to building sophisticated, scalable behavior trees. You’ll also face hands-on challenges, including a cop-and-robber scenario, to test your skills in real-world conditions. By the end, you’ll be able to implement complex AI behaviors, optimize performance, and debug AI systems effectively.
This course is designed for game developers who are already familiar with Unity and want to deepen their knowledge of AI systems. It’s perfect for those looking to elevate their AI development skills to an advanced level, allowing them to create intelligent, interactive gameplay experiences. No prior AI or behavior tree knowledge is required, but a strong grasp of Unity is necessary.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""158375127""]","[""Packt - Course Instructors""]",ADVANCED,Advanced Game AI with Behavior Trees in Unity 6,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/44/5a275a35f14bff9c48267427cba6a6/9781837026838.jpg,"[""en""]",[],packt-advanced-game-ai-systems-with-behaviour-trees-unity-6-compatible-hcvcl,[],,parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert"", ""Specialization""]",f7HCZtZOEemDkAqyZy15Hg,v2.ondemand,"This is the third course in the IBM AI Enterprise Workflow Certification specialization.    You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones.  

Course 3 introduces you to the next stage of the workflow for our hypothetical media company.  In this stage of work you will learn best practices for feature engineering, handling class imbalances and detecting bias in the data.  Class imbalances can seriously affect the validity of your machine learning models, and the mitigation of bias in data is essential to reducing the risk associated with biased models.  These topics will be followed by sections on best practices for dimension reduction, outlier detection, and unsupervised learning techniques for finding patterns in your data.  The case studies will focus on topic modeling and data visualization.
 
By the end of this course you will be able to:
1.  Employ the tools that help address class and class imbalance issues
2.  Explain the ethical considerations regarding bias in data
3.  Employ ai Fairness 360 open source libraries to detect bias in models
4.  Employ dimension reduction techniques for both EDA and transformations stages
5.  Describe topic modeling techniques in natural language processing
6.  Use topic modeling and visualization to explore text data
7.  Employ outlier handling best practices in high dimension data
8.  Employ outlier detection algorithms as a quality assurance tool and a modeling tool
9.  Employ unsupervised learning techniques using pipelines as part of the AI workflow
10.  Employ basic clustering algorithms
 
Who should take this course?
This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses.
 
What skills should you have?
It is assumed that you have completed Courses 1 and 2 of the IBM AI Enterprise Workflow specialization and you have a solid understanding of the following topics prior to starting this course: Fundamental understanding of Linear Algebra; Understand sampling, probability theory, and probability distributions; Knowledge of descriptive and inferential statistical concepts; General understanding of machine learning techniques and best practices; Practiced understanding of Python and the packages commonly used in data science: NumPy, Pandas, matplotlib, scikit-learn; Familiarity with IBM Watson Studio; Familiarity with the design thinking process.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""3361296"", ""41951951""]","[""Mark J Grover"", ""Ray Lopez, Ph.D.""]",ADVANCED,AI Workflow: Feature Engineering and Bias Detection,"[""1207""]",http://coursera-university-assets.s3.amazonaws.com/e0/3b79a264a94c1e95848e823f90c116/IBM-Logo-Blk-copy.png,"[""IBM ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/66/5e484ee245497bbf5f3bbbed38690a/IBM_AI_WORKFLOW.jpg,"[""en""]","[""kiCXgpRzEemmZw4Fe4iRaA""]",ibm-ai-workflow-feature-engineering-bias-detection,[],This course requires 7.5 to 9 hours of study.,parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert"", ""Specialization""]",KWEAuzKIEfGpYAr_w1VPyQ,v2.ondemand,"This course provides a deep dive into deploying, evaluating, and scaling production-ready AI systems, focusing on LangChain and LangGraph. You’ll gain hands-on experience in implementing, benchmarking, and mitigating risks to ensure robust AI solutions in enterprise environments.

Learners will develop practical skills in evaluating AI systems, covering observability, cost management, and performance optimization. The course emphasizes production readiness and equips you to scale AI applications for real-world tasks while addressing emerging AI trends.

What makes this course unique is its focus on enterprise-level deployment, with expert guidance on maintaining AI systems and preparing them for future advancements in generative AI.

Ideal for AI developers and engineers, this course requires experience with AI systems and a foundational knowledge of software development. Learners will benefit from practical, real-world scenarios.

This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""158375127""]","[""Packt - Course Instructors""]",ADVANCED,"Deploying, Evaluating, and Scaling Production AI Systems","[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/12/cebe2dce9a4a67b82b11748f1dfb68/9781837022014_3_square.jpg,"[""en""]","[""Or1J46rcRr-IpGMWmXwB0Q""]",packt-deploying-evaluating-and-scaling-production-ai-systems-1doy0,[],,parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert""]",D7xFF7ZUEfCZThKOa8PO6w,v2.ondemand,"Large Language Models (LLMs) are transforming the way organizations interact with data, automate tasks, and deliver personalized experiences. This course unpacks the architecture, training methods, and strategic implementation of LLMs—core skills for anyone looking to thrive in the evolving AI landscape.

Through a structured journey from model fundamentals to advanced optimization and deployment, learners will gain practical expertise in fine-tuning, evaluating, and integrating LLMs into real-world systems. By the end, you’ll be able to design efficient, ethical, and scalable AI solutions that drive measurable business value.

Unlike traditional AI courses, this program bridges deep theoretical understanding with hands-on insights drawn from production deployments and case studies. You’ll learn not only how LLMs work, but also how to make them work for you in real business contexts.

This course is ideal for data scientists, software engineers, and IT professionals with a foundational understanding of AI or machine learning concepts. Prior experience with Python or neural networks is beneficial but not mandatory.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""158375127""]","[""Packt - Course Instructors""]",ADVANCED,Decoding Large Language Models,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/48/a3392a529340d1ad29a98f271b7ec5/9781835084656_square.jpg,"[""en""]",[],packt-decoding-large-language-models,[],,parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert"", ""Specialization""]",z4SIi9BrEey8_hLA_31upQ,v2.ondemand,"e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programmingGain the skills for building efficient and scalable data pipelines. Explore essential data engineering platforms (Hadoop, Spark, and Snowflake) as well as learn how to optimize and manage them. Delve into Databricks, a powerful platform for executing data analytics and machine learning tasks, while honing your Python data science skills with PySpark. Finally, discover the key concepts of MLflow, an open-source platform for managing the end-to-end machine learning lifecycle, and learn how to integrate it with Databricks.

This course is designed for learners who want to pursue or advance their career in data science or data engineering, or for software developers or engineers who want to grow their data management skill set. In addition to the technologies you will learn, you will also gain methodologies to help you hone your project management and workflow skills for data engineering, including applying Kaizen, DevOps, and Data Ops methodologies and best practices.

With quizzes to test your knowledge throughout, this comprehensive course will help guide your learning journey to become a proficient data engineer, ready to tackle the challenges of today's data-driven world.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""74686063"", ""108047"", ""561550""]","[""Noah Gift"", ""Kennedy Behrman"", ""Matt Harrison""]",ADVANCED,"Spark, Hadoop, and Snowflake for Data Engineering","[""7""]",https://coursera-university-assets.s3.amazonaws.com/8c/3fea3c61b899a0e79075dc8c96195d/dukewidelogo2.png,"[""Duke University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/80/0b847e5fd4474095f66806d4d5f8b4/14-copy.png,"[""en""]","[""hFQX7zy6Qiek4yRJjT3LGw""]",spark-hadoop-snowflake-data-engineering,[],"4 weeks of study, 3-5 hours/week",parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert""]",jAKi4B9GEfCUKg7orgMBjQ,v2.ondemand,"In this course, you’ll learn how to leverage GenAI for proactive legal risk mitigation, transforming compliance from a reactive process into a strategic advantage. You’ll explore GenAI-driven techniques to identify, evaluate, and resolve legal risks in real time. Through engaging lessons and hands-on practice, you’ll master the art of crafting complex prompts for legal analysis, design adaptive risk mitigation frameworks, and implement GenAI for compliance automation.  

This course is tailored for a diverse group of professionals at the intersection of law and technology. It caters to legal practitioners—including lawyers, compliance officers, and in-house counsels—who are looking to deepen their use of GenAI for sophisticated legal risk mitigation. Business leaders and executives interested in embedding AI strategies into their risk management frameworks will also find value, as will regulatory and compliance specialists focused on leveraging AI to enhance compliance systems. Additionally, legal tech developers exploring the next generation of GenAI applications and law students seeking a competitive edge in a transforming legal landscape are ideal participants.

Participants should possess a foundational understanding of generative AI concepts and basic legal risk management strategies. Familiarity with how AI technologies can be used to identify, assess, and manage legal risks is strongly recommended to grasp the advanced concepts presented in this course. This background will enable learners to engage effectively with complex topics such as prompt engineering, regulatory adaptation, and AI-driven legal analysis.

By the end of the course, learners will be equipped to craft nuanced GenAI prompts that yield actionable insights in legal risk contexts. They will gain the skills to architect flexible GenAI-powered compliance systems that evolve alongside shifting regulatory demands. In addition, participants will be able to formulate robust internal policies that govern GenAI implementation, covering critical areas such as privacy, algorithmic fairness, and ethics. Lastly, they will learn to integrate advanced GenAI tools into legal workflows, enhancing automation and predictive analytics to support proactive, data-informed decision-making.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""law"", ""domainId"": ""social-sciences""}]","[""139311893"", ""141793623""]","[""Paweł Mielniczek"", ""Starweaver""]",ADVANCED,GenAI for Legal Risk Mitigation: Proactive Case Analysis,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3b/900ffdace74a08be25bd1984108574/Thumbnail-1200-x-1200-px-1-.png,"[""en""]",[],genai-for-legal-risk-mitigation-proactive-case-analysis,[],4 Hours,parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert""]",VoFue6oZEeywagovoAKHOQ,v2.ondemand,"Neste curso, você vai aprender com engenheiros e instrutores de ML que trabalham com o desenvolvimento de última geração dos pipelines de ML aqui no Google Cloud. Nos primeiros módulos, vamos abordar o TensorFlow Extended (ou TFX), que é uma plataforma de machine learning do Google baseada no TensorFlow criada para gerenciar pipelines e metadados de ML. Você vai conhecer os componentes e a orquestração de um pipeline com o TFX. Também vamos abordar como é possível automatizar os pipelines usando a integração e a implantação contínuas e como gerenciar os metadados de ML. Depois disso, vamos mudar o foco para discutir como podemos automatizar e reutilizar os pipelines de ML em vários frameworks de machine learning, como tensorflow, pytorch, scikit-learn e xgboost. Você também vai aprender a usar outra ferramenta no Google Cloud, o Cloud Composer, para orquestrar seus pipelines de treinamento contínuo. Por fim, vamos mostrar como usar o MLflow para gerenciar o ciclo de vida completo do machine learning.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""22997770""]","[""Google Cloud Training""]",ADVANCED,ML Pipelines on Google Cloud - Português,"[""443""]",http://coursera-university-assets.s3.amazonaws.com/7f/db40d0f4a711e6bc06c3b39ee3e5b0/cloud_logo_400x96.png,"[""Google Cloud""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c5/7142bf27034e37bac15c269c660ff4/new-ml-on-gcp-logo-1-.jpeg,"[""pt-BR""]",[],ml-pipelines-google-cloud-pt,[],"3 weeks of study, 6-8 hours/week",parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert"", ""Specialization""]",kFyF3oGuEe-L8RKezlgehQ,v2.ondemand,"Building on the foundational knowledge from LLM Level 2, this advanced course, Large Language Models - Level 3 is designed to deepen your expertise in using H2O ai's cutting-edge Generative AI tools and techniques.

Guided by a team of AI experts including Sanyam Bhutani, Rob Mulla, and Andreea Turcu, the course begins with an in-depth exploration of the H2O ai Generative AI ecosystem, highlighting essential tools like h2oGPT, H2O LLM EvalGPT, and key GenAI components. You will learn how to create your custom h2oGPT models, effectively use various evaluation techniques to assess model performance, and understand the functionalities of LLM EvalGPT. Additionally, you will analyze the elements of the H2O ai GenAI Ecosystem to streamline and enhance your AI workflows.

By the end of this course, you will have the knowledge and confidence to apply these advanced tools and techniques to your business scenarios, making your AI projects more efficient and impactful. This course is ideal for AI and data science professionals, machine learning engineers, researchers, and business professionals looking to advance their skills in generative AI.

Upon successful completion, you will earn the LLM Level 3 Certification, demonstrating your proficiency in using H2O ai tools for the above mentioned variety of generative AI tasks. This certification is a valuable asset for your career in AI and data science.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""8558172""]","[""Andreea Turcu""]",ADVANCED,H2O ai Large Language Models (LLMs) - Level 3,"[""469""]",http://coursera-university-assets.s3.amazonaws.com/6c/372691f7f84025b7b81b88a742ad22/h2oUniversity-horizontalLogo-LightBackground.png,"[""H2O.ai""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/39/7b568195294818afb260fae3423cea/LLM-Level3.png,"[""en""]","[""fNZEJhWVRMas7YPopMhm7g""]",h2o-ai-large-language-models-llms-level-3,[],2 hours,parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert"", ""Specialization""]",kp4Y3qjKEfCp9xJchxv4PQ,v2.ondemand,"Data that requires decisions and classifications are everywhere. Decision trees help to create solid data inferences for some of the most common types of machine learning problems. To take advantage of this structure, you need to understand how to properly traverse and build rulesets from decision trees. In this course, you'll learn the fundamentals of decision trees, understanding how to implement the structures in Java. From here, you'll explore some different methods of tree traversals, focusing on BFS and DFS. With BFS and DFS, you'll be able to apply tree traversals to generate tree rulesets. With this knowledge, you'll be equiped to implement and traversal decision trees.

This course is for Java developers with a solid programming background, focusing on decision trees, BFS, DFS, and rule generation for machine learning and data classification.

A solid understanding of Java programming is crucial for implementing decision trees and traversal algorithms. Additionally, some familiarity with trees as a data structure will help, as decision trees rely on hierarchical structures.

By the end of this course, you'll have the skills to confidently implement tree traversal algorithms like BFS and DFS, and generate powerful rules from decision trees to tackle real-world machine learning problems.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""141793623"", ""180467741""]","[""Starweaver"", ""Scott Cosentino""]",ADVANCED,Traverse Trees for ML with DFS & BFS,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/57/02bd1ad0e14b6c87bdefd1cef3c415/Thumbnail-1200x1200px-Traverse-Trees-for-ML-with-DFS-BFS.jpg,"[""en""]","[""iIJOJa-_T4ihIpEnHZV9hQ""]",traverse-trees-for-ml-with-dfs--bfs,[],60 Minutes ,parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert""]",RIxT0Uz9EfGjkA6LUTrZAw,v2.ondemand,"This course explores the full spectrum of Prompt Engineering, equipping AI practitioners, developers, and knowledge workers with the skills to design, optimize, and govern high-performance prompts for large language models. You'll begin by mastering the foundations of LLM interactions including effective prompting techniques, few-shot patterns, and self-consistency prompting using tools like Google AI Studio and simulated chat environments.
You'll then advance through chain-of-thought reasoning, tree-of-thought exploration, role-based prompting, and prompt chaining before diving into context engineering, structured output design, and human-in-the-loop workflows. Finally, you'll tackle external knowledge integration through RAG pipelines, prompt A/B testing and quality evaluation, and operational governance including adversarial prompting defenses and ethical prompt practices.
By the end of this program, you will be able to:

- Apply foundational and advanced prompting techniques to solve complex, real-world AI tasks.
- Design multi-step prompt workflows using chaining, auto-prompting, and context engineering.
- Build and evaluate RAG pipelines with citation-grounded, provenance-aware responses.
- Measure and optimize prompt quality through A/B testing and iterative refinement.
- Govern prompt systems responsibly by defending against injection attacks and applying ethical principles.

This program is designed for AI enthusiasts, developers, and business professionals who want to move beyond basic AI usage and build reliable, scalable, and responsible prompt-driven systems. Familiarity with AI chat tools will help you get the most from this experience.
Join us to unlock the full potential of Prompt Engineering and gain the technical fluency to shape, steer, and safeguard AI outputs across any domain.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""136285326""]","[""Edureka""]",ADVANCED,Advanced Prompting and Context Engineering,"[""1504""]",http://coursera-university-assets.s3.amazonaws.com/f7/2ebf8f1160497eba54141ca7951ff0/Wide-Logo-for-Marketing-Purposes.png,"[""Edureka""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/11/927e6eafa24b51a73bcb07072c4333/Advanced-Prompt-Engineering-100.jpg,"[""en""]",[],advanced-prompting-context-engineering,[],"5 weeks of study, 4 - 5 hours/week",parElgpAOMtWxuMG9,NBN2cJ3xcLlAvCa3K
[],"[""VerifiedCert"", ""Specialization""]",j3N11nVAEe-CnQ7q4pwsMw,v2.ondemand,"Updated in May 2025.
 
This course now features Coursera Coach!
 
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

This comprehensive course is designed to equip you with the knowledge and skills necessary to effectively audit IT project governance and system development processes. It begins with an overview of project governance and management, emphasizing the roles and responsibilities of key stakeholders, including project sponsors and the Project Management Office (PMO). You will gain a solid understanding of project initiation, planning, and execution phases, learning how to differentiate between auditing project content and project execution. Special focus is given to the project management methodologies, such as Agile and Predictive approaches, and the essential procedures for closing projects, ensuring you are well-versed in each phase of the project lifecycle.

The course then transitions to system development and risk management, where you will explore various system development lifecycle (SDLC) models and their associated risks. You will learn how to assess these risks and understand different software development methods, including the use of Computer Aided Software Engineering (CASE) tools and fourth-generation languages (4GLs). Key topics such as business case development, feasibility analysis, and the identification and design of effective data controls are thoroughly covered, preparing you to evaluate system and software development from an IS auditor's perspective.

In the final modules, the focus shifts to testing methodologies, data integrity, and change management. You will delve into decision support systems, testing plans, and methodologies to ensure data integrity and accuracy in application systems. The course also covers data migration processes, changeover techniques, and post-implementation reviews (PIR). By the end of the course, you will have a robust understanding of how to audit complex IT projects and system development processes, positioning you for success in the CISA exam and your professional career.

This course is ideal for IT auditors, project managers, and professionals preparing for the CISA certification. It is recommended for individuals with a foundational understanding of information systems and project management. No prior CISA experience is required, but familiarity with IT governance and audit principles will be beneficial.","[{""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""158375127""]","[""Packt - Course Instructors""]",INTERMEDIATE,"Systems Acquisition, Development and Implementation","[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/06/c2faed567e4844946b1280fe190d41/image3.jpg,"[""en""]","[""CDhJMlPTTNmEm8qjvIe2Yw""]",packt-systems-acquisition-development-implementation-l8app,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",rAlpSmWgEeenbhIEmtW1dA,v2.ondemand,"Do you want to know how robots work?  Are you interested in robotics as a career?  Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all subfields of robotics?

If so, then the ""Modern Robotics:  Mechanics, Planning, and Control"" specialization may be for you.  This specialization, consisting of six short courses, is serious preparation for serious students who hope to work in the field of robotics or to undertake advanced study.  It is not a sampler.

In Course 1 of the specialization, Foundations of Robot Motion, you will learn fundamental material regarding robot configurations, for both serial robot mechanisms and robots with closed chains.  You will learn about configuration space (C-space), degrees of freedom, C-space topology, implicit and explicit representations of configurations, and holonomic and nonholonomic constraints.  You will also learn how to represent spatial velocities and forces as twists and wrenches.  This material is at the core of the study of anything that moves (e.g., robots).

This course follows the textbook ""Modern Robotics:  Mechanics, Planning, and Control"" (Lynch and Park, Cambridge University Press 2017).  You can purchase the book or use the free preprint pdf.  You will build on a library of robotics software in the language of your choice (among Python, Mathematica, and MATLAB) and use the free cross-platform robot simulator V-REP, which allows you to work with state-of-the-art robots in the comfort of your own home and with zero financial investment.","[{""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""4812278""]","[""Kevin Lynch""]",INTERMEDIATE,"Modern Robotics, Course 1:  Foundations of Robot Motion","[""54""]",http://coursera-university-assets.s3.amazonaws.com/3a/a4246948824b0caf31486287ec7d23/Northwestern_purple.png,"[""Northwestern University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/af/d18910e5ac11e7924259ba0bb600df/Coursera_Logo2.jpg,"[""en""]","[""BU0VS2WgEeeLNBKpXBwThg""]",modernrobotics-course1,[],This course requires 4 weeks of study of approximately 3-5 hours/week.,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert""]",INoaClOLEfGFig4KZvIMaw,v2.ondemand,"Modern digital products demand scalable, collaborative, and efficient design workflows that support fast-moving teams and evolving user needs. This course explores advanced Figma practices that help designers streamline collaboration, strengthen design systems, improve developer handoffs, and create accessible, production-ready interfaces with confidence.

You will learn how to organize Figma files for real-world teamwork, leverage plugins and AI tools to automate repetitive tasks, and build scalable design systems using tokens and reusable libraries. The course also covers collaboration strategies, async feedback workflows, accessibility practices, and precision handoff techniques that improve communication between designers, developers, and stakeholders.

What makes this course unique is its practical, workflow-focused approach built from real product design challenges and team collaboration experiences. By combining modern design operations with scalable system thinking, the course prepares you to manage complex design environments while maintaining consistency, efficiency, and design quality.

This course is ideal for UI/UX designers, product designers, design system specialists, frontend developers, and creative professionals looking to improve collaborative design workflows in Figma. Basic familiarity with Figma and digital product design concepts is recommended for the best learning experience.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""158375127""]","[""Packt - Course Instructors""]",INTERMEDIATE,Design Beyond Limits with Figma,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7a/a54285b0e04744b026413650f33f57/9781836207719_square.jpg,"[""en""]",[],packt-design-beyond-limits-with-figma,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert""]",HNcdTDyCEfC0XA4malL3Jw,v2.ondemand,"This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

This course provides an in-depth look at how to manage and secure endpoints using Microsoft Endpoint Manager. You will gain a strong understanding of the key components, including Microsoft Endpoint Configuration Manager and Microsoft Intune, both of which are powerful tools for deploying, managing, and protecting devices, data, and applications in an enterprise environment. By the end of this course, you’ll be proficient in the core practices of endpoint management, from enrollment to security policy deployment.

The course begins with an introduction to Microsoft Endpoint Manager and its co-management features. You’ll explore various device enrollment methods, followed by a detailed examination of deploying and managing Windows clients in a business environment. Next, you’ll dive into configuring endpoints using profiles and managing their security posture with compliance policies. You'll also learn how to use Microsoft Intune for application deployment and management.

Finally, you’ll explore additional features of Endpoint Manager, such as troubleshooting and the advanced security capabilities available within the platform. The course includes practical tips and hands-on examples to ensure you can apply your knowledge effectively in real-world scenarios.

This course is ideal for IT professionals, system administrators, and anyone involved in managing endpoints in an organization. It requires a basic understanding of IT infrastructure, but no prior experience with Microsoft Endpoint Manager is needed. This course is suitable for intermediate learners who want to take their endpoint management skills to the next level.","[{""subdomainId"": ""security"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""158375127""]","[""Packt - Course Instructors""]",INTERMEDIATE,Mastering Microsoft Endpoint Manager and Intune,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/98/37e06f80d9418e83247b9076914e2b/skill_image_square.jpg,"[""en""]",[],packt-mastering-microsoft-endpoint-manager-and-intune-sntyi,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert""]",Zr5kYllgEe6vbRJrd0-TVw,v2.ondemand,"e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along wiUnlock Your App Development Potential: Creating a Feature-Rich Shopping List App

Are you ready to turn your visionary app ideas into reality? If your answer is a resounding 'YES,' then this course is your gateway to a transformative journey.

In this meticulously designed course, we will guide you through the creation of a sophisticated shopping list app using a powerful tech stack, including HTML, CSS, JavaScript, and Firebase. Leveraging Firebase's real-time database capabilities, you'll learn how to store and manage data seamlessly.

Course Highlights:

Mastering Database Fundamentals: Delve into the world of databases as we demystify the intricacies of Firebase Realtime Database. Gain the skills needed to establish and configure your database, while learning the art of data storage and retrieval.

Progressive Web App (PWA) Magic: Elevate your app development expertise by utilizing a unique technique that transforms your web app into a mobile-like experience. Learn how to create PWAs that exhibit remarkable responsiveness and user-friendliness.

Hands-On Experience: Throughout the course, you'll embark on a series of challenges designed to solidify your understanding and proficiency in each topic. Practical application is at the heart of our teaching methodology.

Real-Time Data Interaction: Discover the enchanting world of real-time data synchronization. Witness the magic as your app dynamically updates and displays data changes in real time, enhancing user engagement.

Comprehensive Learning: By the course's conclusion, you'll have the knowledge and skills to set up, connect, populate, display, and manage data in your Firebase Realtime Database. Plus, you'll be well-equipped to handle data deletion tasks.

Exploration Beyond: This course serves as a stepping stone to explore the myriad of other impressive features Firebase offers. You'll have the foundation needed to explore and utilize Firebase's full potential.

Join us on this immersive journey, where innovation meets practicality. Transform your app development aspirations into reality, and become proficient in crafting feature-rich, real-time applications. Enroll today and embark on your path to app development excellence.th high school students and professionals with an interest in programming.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""140543294""]","[""Rafid Hoda""]",INTERMEDIATE,Build a Mobile App with Firebase,"[""1324""]",http://coursera-university-assets.s3.amazonaws.com/97/f444df8f4e4d8297bd419f9383cf4f/Frame-915.png,"[""Scrimba""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/91/e41a3bbe38416bb560d623a7cc95e5/firebase-mobile-app.png,"[""en""]",[],build-a-mobile-app-with-firebase,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert""]",5YCz7-zMEeeMzQrhp6Bs1g,v2.ondemand,"By the end of this course, learners will understand what computer vision is, as well as its mission of making computers see and interpret the world as humans do, by learning core concepts of the field and receiving an introduction to human vision capabilities. They are equipped to identify some key application areas of computer vision and understand the digital imaging process. The course covers crucial elements that enable computer vision: digital signal processing, neuroscience and artificial intelligence. Topics include color, light and image formation; early, mid- and high-level vision; and mathematics essential for computer vision. Learners will be able to apply mathematical techniques to complete computer vision tasks. 

This course is ideal for anyone curious about or interested in exploring the concepts of computer vision. It is also useful for those who desire a refresher course in mathematical concepts of computer vision. Learners should have basic programming skills and experience (understanding of for loops, if/else statements), specifically in MATLAB (Mathworks provides the basics here: https://www.mathworks.com/learn/tutorials/matlab-onramp.html). Learners should also be familiar with the following: basic linear algebra (matrix vector operations and notation), 3D co-ordinate systems and transformations, basic calculus (derivatives and integration) and basic probability (random variables).  

Material includes online lectures, videos, demos, hands-on exercises, project work, readings and discussions. Learners gain experience writing computer vision programs through online labs using MATLAB* and supporting toolboxes.

 * A free license to install MATLAB for the duration of the course is available from MathWorks.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""30951525"", ""33716827""]","[""Radhakrishna Dasari"", ""Junsong Yuan""]",INTERMEDIATE,Computer Vision Basics,"[""458"", ""117""]",http://coursera-university-assets.s3.amazonaws.com/44/d4d490e30111e6b1e7b1755213ae52/Screen-Shot-2017-01-25-at-5.20.43-AM.png,"[""University at Buffalo"", ""The State University of New York""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a7/4eb57e25fc49509873e0c44759144e/Course-1-v2-logo.jpg,"[""en""]",[],computer-vision-basics,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert""]",D8hqB6NXEfCeCgr_64w_jw,v2.ondemand,"Fundamentals of Semiconductor Manufacturing is an intermediate level course which provides a comprehensive introduction to the foundational principles, processes, and technologies in semiconductor manufacturing with a specific focus on wafer manufacturing. Learners will dive into the entire journey of a silicon wafer, from raw silicon to packaged functional chip. You will learn the purpose and mechanics of each major process step, including oxidation, photolithography, etching, doping, and thin film deposition. The course will also cover essential quality control concepts, such as cleanroom protocols and yield management. Designed for students with an interest in microelectronics manufacturing, this course bridges theoretical concepts with real-world manufacturing practices, preparing learners for further study or careers in the semiconductor industry.

This course is ideal for students, engineers, and technology professionals seeking a foundational understanding of semiconductor manufacturing. It’s also valuable for those entering roles in electronics, materials science, or manufacturing operations, as well as non-technical professionals working in semiconductor-related industries who want to grasp core production concepts.

No prior semiconductor experience is required. A basic understanding of physics, chemistry, or electronics will be helpful but not mandatory.

By the end of this course, you’ll understand the full semiconductor manufacturing journey, from raw silicon to finished chips, and the key processes, technologies, and quality controls that make it possible.","[{""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}, {""subdomainId"": ""security"", ""domainId"": ""information-technology""}]","[""141793623"", ""194660889""]","[""Starweaver"", ""Ata Syed""]",INTERMEDIATE,Semiconductor Manufacturing Fundamentals,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a4/db6da961264231aa0c0e172288d730/Thumbnail-1200-x-1200-px-Semiconductor-Manufacturing-Fundamentals-Ata-Syed.png,"[""en""]",[],semiconductor-manufacturing-fundamentals,[],60 Minutes,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",wBYtMroaEfCh_g7IcfE8GQ,v2.ondemand,"This course provides a comprehensive overview of data storage and management approaches for big data. Learners will explore structured, semi-structured, and unstructured data formats, compare SQL and NoSQL database technologies, and implement data lakes and data warehouses. The course includes working with various file formats and understanding the differences between batch and real-time processing approaches.

Course Learning Objectives: 

By the end of this course, you will be able to:
- Compare and implement SQL and NoSQL database solutions for different big data scenarios
- Work effectively with structured, semi-structured, and unstructured data formats
- Design and implement data lakes and data warehouses for big data workloads
- Build data pipelines using ETL and ELT approaches with Azure Data Factory
- Differentiate between batch and real-time processing methodologies and implement appropriate solutions","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""56970540""]","["" Microsoft""]",INTERMEDIATE,Data Storage and Management for Big Data,"[""705""]",http://coursera-university-assets.s3.amazonaws.com/73/8792b24ae547c1a582c33f7ea4d569/Microsoft-logo_rgb_200x43.png,"[""Microsoft""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4d/eab003f32c4d55b300a213e8782a1a/portrait-of-paralyzed-disabled-businessman-in-whee-2025-02-18-14-23-52-utc.jpg,"[""en""]","[""db1SpjmQQ6ycbC2UksoeDA""]",microsoft-big-data-storage-management,[],"3 months, 5 hours per week",4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",-I4AT_EYEfCWLQr_yNkMYw,v2.ondemand,"This program introduces Building Stateful & Multi-Agent Systems with LangGraph for developers and AI engineers who want to move beyond single-prompt agents and build reliable, production-ready workflows. You’ll begin by learning how LangGraph executes agent workflows and why state management is critical for correctness, debuggability, and long-running tasks.

Next, you’ll work with state reducers, typed state objects, and checkpointing mechanisms that allow agents to persist progress, recover from failures, and resume complex multi-step executions. Through hands-on demonstrations, you’ll implement conditional routing, parallel execution paths, and modular subgraphs to enable dynamic, decision-driven workflows.

As you progress, you’ll design human-in-the-loop systems with approvals and interrupts, apply debugging and time-travel analysis using execution logs and snapshots, and build multi-agent systems using supervisor–worker and consensus-based reasoning models for scalable, collaborative agent workflows.

By the end of the program, you will be able to:
- Explain how LangGraph executes workflows and manages state across agent nodes.
- Design stateful agent pipelines using typed state objects and reducer patterns.
- Implement checkpointing and recovery mechanisms for long-running agent workflows.
- Control execution flow using conditional routing, parallel execution, and subgraphs.
- Build human-in-the-loop workflows with approvals, interrupts, and state inspection.
- Debug agent systems using execution logs, snapshots, and time-travel analysis.
- Design multi-step planner–executor workflows for complex task execution.
- Orchestrate multi-agent systems using supervisor–worker and consensus-based models.

This program is ideal for AI engineers, backend developers, and system architects who want to build agent systems that are not only intelligent, but also predictable, auditable, and production-ready. Prior experience with Python, LLM fundamentals, and basic agent concepts will help maximize your learning experience.

Learners need a reliable internet connection, a modern web browser, and access to Python development tools. The course uses LangGraph and modern LLM APIs, which do not require specialized hardware. Familiarity with LangChain or agent-based workflows is recommended.

Join us to learn how to design stateful, multi-agent systems that can plan, recover, coordinate, and reason reliably in real-world applications.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""136285326""]","[""Edureka""]",INTERMEDIATE,Multi-Agent Systems with LangGraph,"[""1504""]",http://coursera-university-assets.s3.amazonaws.com/f7/2ebf8f1160497eba54141ca7951ff0/Wide-Logo-for-Marketing-Purposes.png,"[""Edureka""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1f/9074fb3815408689408af24db13d52/Building-Stateful-Multi-Agent-Systems-with-LangGraph-100-1-1-.jpg,"[""en""]","[""yIDGbixcSfuDu8Mx5F7OpA""]",multi-agent-systems-with-langgraph,[],"4 weeks of study, 3 - 4 hours/week",4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",U9dtLimJEe-QGRKR-lolWw,v2.ondemand,"This course delves into how Generative Artificial Intelligence (GenAI) is transforming front-end development. Through discussions, video demos, and guided hands-on activities, you'll discover how GenAI can boost productivity in UI/UX design, code generation, testing, and documentation. Additionally, the course addresses ethical concerns, risks, and best practices for responsible GenAI use in front-end development.

This course is ideal for team leads and managers guiding front-end development teams, individual front-end developers seeking to enhance their workflows with GenAI tools, and aspiring front-end developers looking to future-proof their skills and gain a competitive edge in the field.

Learners should have a solid understanding of HTML, CSS, JavaScript, and common front-end frameworks like React, Angular, or Vue, along with experience in UI/UX design principles and basic knowledge of version control systems like Git. Additionally, an open mindset towards incorporating GenAI tools and a willingness to experiment with new technologies are essential.

Whether you're an experienced front-end developer looking to stay ahead of the curve or an aspiring professional seeking to future-proof your skillset, this course provides a foundation that will empower you to unlock new levels of efficiency, productivity, and creativity in your work.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""149442492"", ""141793623""]","[""Karlis Zars"", ""Starweaver""]",INTERMEDIATE,GenAI for Front-End Developers,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2d/6fcde41ff04dbab7d6257c1129d241/Batch-7-1200-x-1200-px-.jpg,"[""en""]","[""yip7-2LeQIyzHNgQYHDRWA""]",genai-for-front-end-developers,[],1 Hour,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert""]",jRkDtwN8EfCZBQr_8Qg1_w,v2.ondemand,"Updated in May 2025.
 
This course now features Coursera Coach!
 
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

Cybersecurity is more critical than ever, and this course provides a solid foundation in understanding cyber threats and protective measures. You’ll explore the evolving threat landscape, identify common cyberattack techniques, and learn about Wi-Fi vulnerabilities and Advanced Persistent Threats (APTs). By the end, you'll be well-versed in key cybersecurity challenges.

The course begins with an introduction to networking fundamentals, covering essential concepts such as internet operations, routing protocols, and network addressing. You will then dive into security models, cybersecurity technologies, and security best practices for data centers, cloud environments, and virtualization. Additionally, you'll gain insights into endpoint security, system administration, and ITIL support functions.

Next, you will explore Palo Alto Networks security solutions. You’ll learn about Next-Generation Firewalls (NGFWs), Prisma Cloud and Prisma Access, SaaS security solutions, and Cortex XDR and XSOAR for incident response. Understanding these tools will help you navigate modern cybersecurity challenges effectively.

This course is ideal for aspiring cybersecurity professionals, IT administrators, and network engineers. A basic understanding of networking and IT concepts is helpful but not required. The difficulty level is intermediate, making it accessible to those with foundational IT knowledge looking to expand into cybersecurity.","[{""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}, {""subdomainId"": ""security"", ""domainId"": ""information-technology""}]","[""158375127""]","[""Packt - Course Instructors""]",INTERMEDIATE,Palo Alto Networks Cybersecurity Fundamentals,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/33/c02ac671e342b8a7eebe375d3656ff/V22302.jpg,"[""en""]",[],packt-palo-alto-networks-cybersecurity-fundamentals-pccsa-nxmaz,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",ZStTucOfEfCR6wr_yMSqQw,v2.ondemand,"Ship data and schema changes without outages. This hands-on course teaches you how to treat schemas as contracts, evolve them safely, and keep producers, consumers, and warehouses green end-to-end. You’ll design compatibility policies in a Schema Registry (backward/forward/full, transitive), automate checks in CI, and practice expand → adapt → contract rollouts. In streaming labs, you’ll capture OLTP changes with Debezium, deliver Avro-encoded events to Kafka, and route malformed records to a DLQ with actionable alerts. On the analytics side, you’ll evolve BigQuery/Iceberg schemas additively (NULLABLE/defaulted columns), shield downstream users with views/contracts, and validate correctness with queries and time travel. Realistic scenarios walk you through enum expansions, type widening, null/tombstone semantics, and subject naming rules. 

This course is for data engineers, backend engineers, and analytics engineers who work with real-time or streaming data systems and need to evolve schemas without downtime. It’s also useful for platform engineers and architects responsible for data contracts, CDC pipelines, or Kafka-based platforms.

Learners should have basic SQL knowledge and a general understanding of streaming systems such as Kafka, along with familiarity with Git and the command line. Experience with schemas, CDC, Docker, or cloud data warehouses is helpful but not required.

By the end, you’ll have runnable templates, governance checklists, and a portfolio-ready project that proves you can design zero-downtime change—confidently and repeatably. For more information, check out the document.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""141793623"", ""152261633""]","[""Starweaver"", ""Luca Berton""]",INTERMEDIATE,Manage Schema Evolution in Real‑Time Data,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/86/6f154580564500b9ec5a40c96c67a7/kafkacourse.jpg,"[""en""]","[""BExqb5qrT028I3NZgzHsCw""]",manage-schema-evolution-in-realtime-data,[],60 Minutes,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",8r0rQvUUEfCkURJ26JwNHQ,v2.ondemand,"Optimize ML Models: Hyperparameter Tuning gives you the practical skills to move from “good enough” models to models that perform reliably at scale. You’ll learn how default hyperparameters shape model behavior, how computational complexity affects training cost, and why structured tuning methods outperform guesswork. Through short videos, hands-on practice, and a guided GridSearchCV project, you’ll build a complete workflow for selecting, evaluating, and explaining tuned model configurations. By the end of the course, you’ll know how to design effective search spaces, run systematic tuning experiments, interpret cross-validated results, and save tuned parameters for real ML pipelines—all essential skills for modern machine learning and AI roles.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""200011885""]","[""ansrsource instructors""]",INTERMEDIATE,Optimize ML Models: Hyperparameter Tuning ,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2b/9d51181fd74630a1431bc77189f422/Na-im-Tyson.jpg,"[""en""]","[""JxhTrPAwTgeACKGLp8WV6Q""]",optimize-ml-models-hyperparameter-tuning,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",CVJg1EYkEeejjw678ALX-g,v2.ondemand,"This course extends object-oriented analysis and design by incorporating design patterns to create interactive applications. Through a survey of established design patterns, you will gain a foundation for more complex software applications. Finally, you will identify problematic software designs by referencing a catalog of code smells.

You will be challenged in the Capstone Project to redesign an existing Java-based Android application to implement a combination of design patterns. You will also critique a given Java codebase for code smells.

After completing this course, you will be able to: 
• Demonstrate how to use design patterns to address user interface design issues.	
• Identify the most suitable design pattern to address a given application design problem.	
• Apply design principles (e.g., open-closed, dependency inversion, least knowledge).	
• Critique code by identifying and refactoring anti-patterns.
• Apply the model-view-controller architectural pattern.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""14283726""]","[""Kenny Wong""]",INTERMEDIATE,Design Patterns,"[""146""]",http://coursera-university-assets.s3.amazonaws.com/f6/4559ba784341fe8084f538436e3ee8/UA_Logo_Green_RGB-1-.png,"[""University of Alberta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f2/5594d0722911e7ac442b4b34df2042/SDA-Courseralogos-C2-option1.png,"[""en""]","[""hESW_nCIEeeXkArE6jxxNg""]",design-patterns,[],"Four weeks of study, 5 – 8 hours/week",4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",n5c6ycSpEe-21A5KKJdafQ,v2.ondemand,"Updated in May 2025.

This course now features Coursera Coach! 

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.  

Unlock the full potential of Microsoft Azure with this comprehensive course on storage, compute, containers, and automation. You’ll learn to manage complex cloud environments while building expertise in configuring and deploying Azure services. This course equips you with practical skills to streamline operations, optimize resources, and enhance scalability in your cloud infrastructure.

The course begins with mastering Azure Storage, including data import/export, redundancy, and object replication. You'll progress to configuring Azure Files and Blob Storage, covering everything from file shares to lifecycle management. Practical demonstrations ensure you can integrate these tools seamlessly into real-world IT workflows.

Dive deeper into automation using Azure Resource Manager templates and VM extensions. You’ll also explore virtual machine configurations, disk encryption, and resource management, building a robust foundation in virtualized compute environments. Further modules introduce container management, from scaling Kubernetes services to creating container apps, and finally, Azure App Service for custom domains, backups, and secure deployment.

This course is designed for IT professionals, cloud administrators, and security specialists aiming to enhance their Azure expertise. A basic understanding of cloud computing and familiarity with Azure fundamentals is recommended. With hands-on exercises and expert guidance, this intermediate-level course will elevate your Azure management skills.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""158375127""]","[""Packt - Course Instructors""]",INTERMEDIATE,"AZ-104: Azure Storage, Compute, Containers, and Automation","[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f5/26695b3b804d3d8ef21328eb40ad34/image5.jpg,"[""en""]","[""QiUB4jznQzi-zN-lR8rIcg""]",packt-az-104-azure-storage-compute-containers-and-autoamtion-pps7c,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",C1h2JBqoEfCtChLmIEQv9w,v2.ondemand,"Welcome to Building a Machine Learning Solution, where you'll journey through the complete lifecycle of a machine learning project. This capstone course covers critical steps from problem definition to deployment and maintenance. You'll learn to define clear problem statements, collect and preprocess data, perform exploratory data analysis (EDA), and engineer features to enhance model performance. The course guides you in selecting and implementing appropriate models, comparing classical machine learning, deep learning, and generative AI approaches. Emphasizing real-world considerations, you'll address scalability, interpretability, and ethical implications. You'll gain hands-on experience with tools like scikit-learn, TensorFlow, PyTorch, and more, ensuring you can deploy and monitor models effectively. By the end of this course, you'll be equipped to build end-to-end ML solutions that transform data into actionable insights, making informed decisions at each stage of development.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""185939614""]","[""Professionals from the Industry""]",INTERMEDIATE,Building a Machine Learning Solution,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a3/1f9956d53b45b593ecee327fef35df/BC-4801_Coursera-Originals_-Machine-Learning-Professional-Certificate---Image-Creation_Course5.png,"[""en""]","[""sdYUXbirSPuN4C-fQRbx3Q""]",building-a-machine-learning-solution,[],5 weeks / 6-7 hours per week,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert""]",qACP-W2QEeybxBLh3DTb8Q,v2.ondemand,"This course is an introduction to sequential decision making and reinforcement learning. We start with a discussion of utility theory to learn how preferences can be represented and modeled for decision making. We first model simple decision problems as multi-armed bandit problems in and discuss several approaches to evaluate feedback. We will then model decision problems as finite Markov decision processes (MDPs), and discuss their solutions via dynamic programming algorithms. We touch on the notion of partial observability in real problems, modeled by POMDPs and then solved by online planning methods. Finally, we introduce the reinforcement learning problem and discuss two paradigms: Monte Carlo methods and temporal difference learning. We conclude the course by noting how the two paradigms lie on a spectrum of n-step temporal difference methods. An emphasis on algorithms and examples will be a key part of this course.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""10864373""]","[""Tony Dear""]",INTERMEDIATE,Decision Making and Reinforcement Learning,"[""40""]",http://coursera-university-assets.s3.amazonaws.com/aa/5bd170463311e7b9aab976f3e51f91/286OfficialColumbiaLogo.png,"[""Columbia University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9f/568d17e2834f3ea139e42b500cfea9/decision-making-and-reinforcement-learning.jpg,"[""en""]",[],dmrol,[],"12 weeks of study, 7-10 hours/week",4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",8-shGkfyEeemlQrrzf9X-A,v2.ondemand,"In this course, we trace the evolution of networks and identify the key concepts and functions that form the basis for layered architecture. We introduce examples of protocols and services that are familiar to the students, and we explain how these services are supported by networks. Further, we explain fundamental concepts in digital communication, and focus on error control techniques that include parity check, polynomial code, and Internet checksum. Students will be required to have some previous programming experience in C-programming (C++/Java), some fundamental knowledge of computer organization and IT architecture and a background in computer science is a plus.","[{""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""26632591""]","[""Xiaobo Zhou""]",INTERMEDIATE,Fundamentals of Network Communication,"[""126""]",http://coursera-university-assets.s3.amazonaws.com/94/45ab9b6dc849e29a9697ebb3227dd2/cu_standard_no-campus.png,"[""University of Colorado System""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/10/1f9b10795411e79f662ba7081ab510/fundamentals-of-network-communication3.jpg,"[""en""]","[""affCE3liEee7WwqcQWCWNA""]",fundamentals-network-communications,[],"5 weeks of study, 2-5 hours/week",4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",qTKw8Ff5EfCekhJDthqyWw,v2.ondemand,"Take your MongoDB and Python skills to the next level with Mastering PyMongo: Apply, Analyze, and Transform MongoDB Data Using Python. This advanced, project-based course teaches you how to use the official PyMongo library to manage, query, optimize, and transform document-oriented data through practical, hands-on exercises.

You'll begin by building a strong foundation in PyMongo, learning how to prepare sample data, load documents into MongoDB collections, perform sorting operations, and validate stored records. From there, you'll progress to advanced querying techniques using cursors, pagination, counting operations, and indexing to improve query performance.

The course then focuses on data transformation and analysis by guiding you through the creation of MongoDB aggregation pipelines and converting query results into structured pandas DataFrames for downstream Python analysis. Every concept is reinforced through project-based learning using sample datasets, helping you develop practical experience with real-world NoSQL workflows.

This course is ideal for Python developers, data professionals, and learners who want to strengthen their MongoDB programming skills using PyMongo. By the end of the course, you'll be able to build efficient data access patterns, optimize MongoDB queries, construct aggregation pipelines, and transform document data into structured formats for analysis using Python.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""136048342""]","[""EDUCBA""]",INTERMEDIATE,PyMongo - Advanced    ,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d5/04069e2efb4fe1a294e2f0c28d455c/68.1.jpg,"[""en""]","[""cBIgfMoYTyKTtZ4sl3qc_A""]",pymongo-advanced,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",Un7qQEo0EfGQPg4qhyyqoQ,v2.ondemand,"This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

Explore advanced game design topics, including player engagement, multiplayer systems, VR/AR/XR, monetization strategies, and industry realities. This course equips you with the frameworks needed to create compelling, market-ready games.

Learn to apply practical design strategies, integrating music, narrative, and business insights to enhance player experience and commercial success. By the end, you will understand how to navigate both creative and business challenges in game development.

Combining theory with real-world examples, the course stands out by offering actionable guidance from industry practices. It balances creative design thinking with strategic monetization approaches.

Ideal for game designers, developers, and industry enthusiasts seeking advanced knowledge. Prior experience in game design or development is beneficial. By the end of the course, you will be ready to design engaging games for diverse platforms.

This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

From Level Up! The Guide to Great Video Game Design
Copyright © 2025 by John Wiley & Sons, Inc. All rights, including for text and data mining, AI training, and similar technologies, are reserved. Illustrations in this course are copyright © 2025 Scott Rogers.
Used by arrangement with John Wiley & Sons, Inc.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""205323684""]","[""Wiley Skills Network""]",INTERMEDIATE,Advanced Game Design: Platforms & Monetization,"[""4357""]",http://coursera-university-assets.s3.amazonaws.com/be/8b133d3a37459386cbb52dc93d808d/Wiley_Wordmark_black_RGB.png,"[""John Wiley & Sons""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ec/f7397e9c364619b47bc9da0f25ad8d/9781807420611_3_square.jpg,"[""en""]","[""PZ894NqFQLaghUed9g-FXw""]",wiley-advanced-game-design-platforms-monetization,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert""]",GDbygM9CEe-ElQr__Rz79Q,v2.ondemand,"Discover how to build a fully interactive memory game in React, designed to enhance your development skills and with a focus on accessibility. This course guides you through each step, from fetching and managing API data to designing reusable components and implementing user interactions.

You’ll work on challenges such as randomizing game elements, detecting matches, and handling errors. Along the way, you'll gain practical experience in solving common development problems.

Accessibility is a key focus of the project, with detailed guidance on ARIA attributes, semantic HTML, and designing for inclusivity.

This course is ideal for anyone looking to deepen their React knowledge while working on a meaningful, real-world project. By the end, you’ll have an accessible, polished memory game that demonstrates your skills and commitment to building user-friendly applications.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""172433386""]","[""Ajo Borgvold""]",INTERMEDIATE,Build a Memory Game in React,"[""1324""]",http://coursera-university-assets.s3.amazonaws.com/97/f444df8f4e4d8297bd419f9383cf4f/Frame-915.png,"[""Scrimba""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/34/45093bd968472c9e4a13c1108bd114/ajo.png,"[""en""]",[],build-a-memory-game-in-react,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",QusK7boIEfCFjhLhySUHPQ,v2.ondemand,"This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

In this course, you'll dive deep into the essential components of networking, routing, network devices, and securing TCP/IP systems. Starting with routing protocols such as NAT, OSPF, and BGP, you will learn to configure routers, understand static and dynamic routing, and explore concepts like port forwarding and NAT. As you progress, you'll uncover the various network applications and learn to apply network tools like Wireshark and netstat for troubleshooting and managing network traffic effectively. With hands-on activities throughout, you will gain the confidence to apply what you learn in real-world scenarios.

As the course continues, you'll also explore security techniques and solutions critical for safeguarding your networks. You'll learn about encryption methods, access control, digital certificates, and tools like RADIUS and TACACS+ that ensure a robust network security infrastructure. Additionally, you'll learn how to configure and manage advanced network devices like switches and firewalls. Concepts such as VLANs, inter-VLAN routing, and load balancing will help you optimize network performance while maintaining security.

This course is designed for IT professionals and network administrators who want to improve their skills in routing, network management, and security. The course does not require prior knowledge of networking, though some basic computer skills may be helpful. By the end of the course, you will understand how to manage network devices, configure security protocols, and implement best practices to build and secure complex network infrastructures.

By the end of the course, you will be able to configure routers, secure TCP/IP communications, troubleshoot network issues using various tools, implement VLANs, and ensure network security with encryption and access control methods.","[{""domainId"": ""information-technology"", ""subdomainId"": ""networking""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""158375127""]","[""Packt - Course Instructors""]",INTERMEDIATE,"Routing, Network Devices, and Security","[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/04/6772f1f9c84e299f2d6469857bfe58/9781806104291.jpg,"[""en""]","[""ydq6M2TKSU2OioEAqj-RZA""]",packt-routing-network-devices-and-security-6cthe,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",QnRU3CWKEfChkRLiydouaQ,v2.ondemand,"Information System Auditing, Governance, and Management is the first course of Exam Prep: Certified Information Systems Auditor (CISA) Specialization. The course also explores enterprise governance frameworks, IT policies and standards, quality management practices, and enterprise architecture. Additionally, it covers IT resource management and regulatory compliance, providing a comprehensive foundation for professionals involved in IT audit, risk, and governance roles. 
The course is divided into three modules, and Lessons and Video Lectures further segment each module. This course facilitates learners with approximately 2:00-2:30 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module to test the ability of learners. 
- Module 1: Information System Auditing Process
- Module 2: Execution
- Module 3: Governance and Management of IT

This course is designed for IT auditors, audit managers, security professionals, and consultants. Their current job roles often involve assessing IT and business systems, managing risks, ensuring compliance, and implementing controls. 

By the end of the course, learners will be able to:
- Evaluate & Test IT Controls Effectively.
- Utilize Key Audit Evidence & Analytics.
- Understand IT Governance & Compliance.","[{""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}, {""subdomainId"": ""security"", ""domainId"": ""information-technology""}]","[""126164860""]","[""Whizlabs Instructor""]",INTERMEDIATE,"Information System Auditing, Governance and Management","[""1403""]",http://coursera-university-assets.s3.amazonaws.com/6e/450ebe44084f93a932de58d602aef0/Whizlabs-Logo-200-x-48-px-.png,"[""Whizlabs""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2c/8116cfc4ad4df0a2e2fcf64434b4fe/1024x1024.png,"[""en""]","[""-WVnKrQRRoWsNQA3XkvmRw""]",information-system-auditing-governance-and-management,[],"2 weeks of study, 2 hours/week",4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert""]",OHIER565EfCwTRI-ULT-KQ,v2.ondemand,"This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

Unreal Engine 5 is one of the most powerful game development tools available today. This course offers a comprehensive guide to mastering Unreal Engine's physics system, providing you with the skills to create realistic, dynamic game environments. Throughout this course, you will learn how to simulate physical interactions, handle object collisions, and manipulate forces and materials for a more immersive gaming experience.

The course starts with foundational physics principles in Unreal Engine 5, such as physics bodies, vectors, and collision volumes. As you progress, you'll explore more advanced topics like destruction physics, cloth simulation, and cable dynamics. Practical applications will guide you through creating interactive gameplay elements, and by the end of the course, you'll be able to apply your knowledge in real-world game development projects.

This course is ideal for aspiring game developers, particularly those with an interest in the technical aspects of Unreal Engine. No prior experience with physics engines is required, although familiarity with game development basics will be helpful. The course has an intermediate difficulty level, so it is perfect for learners with some foundational knowledge of game development who are ready to dive deeper into physics simulations.

By the end of the course, you will be able to simulate realistic physics interactions in Unreal Engine 5, create dynamic environments with forces and materials, design destructible objects, and implement advanced simulation systems such as cloth physics and cable dynamics.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""158375127""]","[""Packt - Course Instructors""]",INTERMEDIATE,Unreal Engine 5 for Games - Physics,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/77/4e72db24a347e4b3998966cd1d2e58/skill_image_square.jpg,"[""en""]",[],packt-unreal-engine-5-for-games-physics-gvj3x,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",BIIyShktEfGAxAr_4vHMCw,v2.ondemand,"This course provides thorough preparation for the CASP+ CAS-004 exam, focusing on advanced security strategies, techniques, and real-world applications. The course covers crucial concepts in risk management, endpoint security, cloud environments, and incident response, preparing learners for success in handling complex security systems and making strategic decisions.

Learners will develop the skills necessary to configure secure endpoints and cloud environments, conduct thorough risk assessments, and identify indicators of compromise. Hands-on assessments, and practical scenarios reinforce the concepts, ensuring learners can directly apply what they’ve learned in real-world cybersecurity situations.

What sets this course apart is its seamless integration of theoretical knowledge with practical, real-world tasks, closely aligned with the CAS-004 exam domains. Through interactive learning tools, learners will gain deep, actionable expertise in managing advanced security environments.

This course is ideal for cybersecurity professionals seeking CASP+ certification, with an assumed background in security fundamentals, networking, and system administration. The curriculum is designed to expand their technical capabilities and strategic decision-making skills.

This course is part one of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

Copyright © 2023 by John Wiley & Sons, Inc. All rights reserved. Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Published simultaneously in Canada and the United Kingdom. Used by arrangement with John Wiley & Sons, Inc.","[{""subdomainId"": ""security"", ""domainId"": ""information-technology""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""205323684""]","[""Wiley Skills Network""]",INTERMEDIATE,Advanced Security Practices: Risk & Endpoint Security,"[""4357""]",http://coursera-university-assets.s3.amazonaws.com/be/8b133d3a37459386cbb52dc93d808d/Wiley_Wordmark_black_RGB.png,"[""John Wiley & Sons""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f5/e6b177aff046a484b08a1e1289325f/9781806116393-1_square.jpg,"[""en""]","[""toJMSz18RyqvcCR0n49PMQ""]",wiley-advanced-security-practices-risk-and-endpoint-security,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",MiekUzmPEe-9Ig7qA4dB5w,v2.ondemand,"This course begins with an introduction to automation frameworks, focusing on the Page Object Model (POM) to enhance code reusability and maintainability. You will learn to create object repositories, page classes, and use Page Factory for efficient web element initialization. The course covers practical tips for finding all links on a webpage, providing a solid foundation in automation frameworks. 

Next, delve into Log4j2, from default configurations to advanced custom loggers, writing configuration files for console and file logging, and integrating Log4j2 into test cases to improve logging infrastructure. 

Transitioning to TestNG, the course covers setup, annotations, method prioritization, grouping, parameterization, parallel test execution, DataProviders, ITestResult, and listeners for customized test behavior. Practical exercises reinforce these concepts, preparing you for real-world application. 

Designed for software testers, automation engineers, and QA professionals with basic Selenium WebDriver and Java knowledge, this course deepens your understanding of advanced automation frameworks and TestNG. Implement POM and Page Factory, configure and use Log4j2, set up and leverage TestNG, utilize its advanced features, create and manage advanced reports, and execute data-driven tests and handle file uploads using Selenium WebDriver.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""158375127""]","[""Packt - Course Instructors""]",INTERMEDIATE,Advanced Automation Frameworks and Testing with TestNG,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/77/67ba513eff4eadb698d02a6c6028d8/image7.jpg,"[""en""]","[""KolS6EApSSWjNH8NObrBAQ""]",packt-advanced-automation-frameworks-and-testing-with-testng-tgoar,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",Nt3AeXmtEe-cBRK_mZB3Bw,v2.ondemand,"In this course, you'll explore some of JavaScript’s most powerful features to enhance your coding skills. You’ll learn how to design and manage custom objects, as well as work with advanced patterns for handling collections and functions. These concepts will help you write cleaner, more efficient code and leverage JavaScript’s unique capabilities to handle complex scenarios effectively.

There are 3 sections in this course:

1. Creating Custom Objects: Learn how to create custom objects using factory functions, constructor functions, and classes. Explore inheritance via the prototype chain, the use of methods like apply(), call(), and static methods, as well as defining getters, setters, and private fields for controlled property access.

2. Collections and Symbols: Discover efficient data management with JavaScript’s Map and Set collections, and explore Symbols, a unique, immutable data type for private or globally unique properties in objects.

3. Advanced Function Patterns and Generators: Master advanced function techniques including closures, IIFE’s, and recursion. Learn about throttling and debouncing to optimize function execution, and use generators to create controlled iterable sequences.

By the end of the course, you’ll have a wealth of knowledge on modern JS techniques and patterns, giving you the ability to write more efficient, scalable code.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""121495947""]","[""Tom Chant""]",INTERMEDIATE,"Advanced JavaScript 3: Objects, Collections, Functions","[""1324""]",http://coursera-university-assets.s3.amazonaws.com/97/f444df8f4e4d8297bd419f9383cf4f/Frame-915.png,"[""Scrimba""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5e/1adf0f9ca6475a97d3da0607c6423f/advanced-js-collections.jpg,"[""en""]","[""Rs28_Xm9QOC3HdGFkJJsaw""]",advanced-javascript-3-objects-collections-functions,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",_M5Z5RbsEfCwdwr_1g1Hsw,v2.ondemand,"This hands-on, project-driven course gives you the skills to bring artificial intelligence (AI) to life using Java and the Spring Framework. In just 3 weeks, you’ll learn how to build intelligent apps that create text, images, or recommendations quickly and become the go-to developer employers are looking for.
 
To start, you’ll set up your Java development environment and dive into the core principles of AI. You’ll then move straight to building hands-on experience using tools and techniques such as Deeplearning4j and Spring AI in practical projects that employ powerful Java and Spring AI libraries. Plus, you’ll integrate your AI skills with Spring, leveraging its robust architecture to build smart applications. 

This course is ideal for developers with a working knowledge of Java and Spring who want to break into the fast-moving world of AI without switching ecosystems or learning a new language from scratch. 
If that’s you… enroll today and build the highly sought-after GenAI skills employers are actively seeking in just 3 weeks.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""143632558"", ""96619963""]","[""SkillUp"", ""Ramanujam Srinivasan""]",INTERMEDIATE,Generative AI for Java and Spring Development,"[""829""]",http://coursera-university-assets.s3.amazonaws.com/76/d1d1d11d24421cbdf919d276978e10/SkillUp-Logo-200X48.png,"[""SkillUp""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3d/670fea355b4326bd39a0631b363fc2/square_1200.jpeg,"[""en""]","[""Z0jA_e3uReW3VXAQEAr5pg"", ""child~yQENaMAMSCCO278h_Om0Sw""]",generative-ai-for-java-and-spring-development,[],3 weeks at 2 to 3 hours a week,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",kutW5KWsEfCpzgr_4yIONQ,v2.ondemand,"Engineer & Explain AI Model Decisions is an Intermediate-level course designed for Machine Learning and AI professionals who need to build trustworthy and justifiable AI systems. In today's complex data environments, high accuracy is not enough; you must be able to prove why a model made its decision and remediate biases that cause real-world harm.

This course empowers you to combine advanced feature engineering and model interpretability practices to ensure ethical, reliable deployment. You will begin by mastering data transformation, learning to clean chaotic, conversational logs (like agent chat history) and converting them into structured, model-ready tensors using Python, scikit-learn, TF-IDF, and embedding aggregation.

Further, you will dive into the ""black box"" using powerful explainability techniques like SHAP to analyze model reasoning. You will run diagnostics on misclassified examples, flag spurious correlations (such as time-of-day dependencies), and develop strategies for bias remediation. The final deliverable is an AI Model Decision Toolkit, culminating in a stakeholder-ready interpretability report that translates technical findings into actionable, business insights. This course is essential for anyone responsible for the transparent, reliable, and bias-aware deployment of AI in production.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""199677978""]","[""LearningMate""]",INTERMEDIATE,Engineer & Explain AI Model Decisions,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/95/f488af3e594e16a7e5633f6904ca33/CON-02721_img_courselogo.png,"[""en""]","[""gtvClrloSMm_O8PqVo2UxQ""]",engineer-and-explain-ai-model-decisions,[],Approximately 210 minutes,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",UGpEBozGEfCWYxI4N3bFDw,v2.ondemand,"Are you a Systems Analyst, IT Systems Architect, Software Architect, or a Solutions Architect and keen to use generative AI (GenAI) to enhance how you analyze and design systems, define solution requirements, and share technical insights?  

In this course, you’ll learn how to craft prompts and apply AI-driven requirement extraction to convert unstructured inputs, such as stakeholder interviews, emails, and process notes, into structured documentation, including user stories, use cases, system requirements, and acceptance criteria.  

You’ll gain hands-on experience generating and refining BPMN diagrams, system architecture workflows, process flowcharts, and customer journey maps using AI-powered modeling tools. You'll use GenAI to produce solution design assets such as business rules, architecture summaries, impact assessments, and stakeholder-ready briefs. Plus, you'll explore practical integration of AI into platforms such as Jira, Confluence, Miro, and Power BI to enhance collaboration, traceability, and efficiency across solution design lifecycles.  
 
If you’re looking to develop job-ready skills in system analysis, solution clarity, and stakeholder alignment using GenAI, enroll today and become the future-ready architect businesses need.","[{""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""143632558""]","[""SkillUp""]",INTERMEDIATE,Generative AI: Advancing Systems Analysis & Architecture,"[""829""]",http://coursera-university-assets.s3.amazonaws.com/76/d1d1d11d24421cbdf919d276978e10/SkillUp-Logo-200X48.png,"[""SkillUp""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bb/c68bb1264a46f2953a8ea7c6c7bb48/AdobeStock_1572841807.jpeg,"[""en""]","[""child~b7rjxlH7T8KJuaSkgxse3g"", ""child~lsuFzSY1Tri6tQhs5L0whA"", ""zbjNCWQoQhSvoLw5vnck9g""]",generative-ai-advancing-systems-analysis-and-architecture,[],"4 weeks of study, 3-4 hours/week",4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",Uq2jl0YaEe--LxKeIkG8pQ,v2.ondemand,"Updated in May 2025.

This course now features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

Embark on a comprehensive learning journey starting with fundamental Python programming, including installation, variable manipulation, and essential data structures like lists, tuples, and dictionaries. Gain proficiency in numerical computations with NumPy and data manipulation with Pandas. 

Strengthen your mathematical foundation with key linear algebra concepts vital for machine learning algorithms. Progress to data visualization using Matplotlib and Seaborn, interpreting and presenting data effectively. Develop a strong base in simple linear regression and gradient descent, and explore classification techniques with KNN and logistic regression through hands-on case studies. 

Dive into advanced machine learning algorithms, including regularization techniques and deep learning foundations, tailored for NLP applications. By course end, you'll have a robust understanding of implementing and optimizing machine learning models for NLP tasks, preparing you for advanced projects and career opportunities. 

Ideal for aspiring data scientists, machine learning enthusiasts, and professionals specializing in NLP, with basic Python and high school-level math knowledge required.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""158375127""]","[""Packt - Course Instructors""]",INTERMEDIATE,Foundations of Data Science and Machine Learning with Python,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/00/913975fc3e4d9aa9c4cecb1ee5fb8b/V15200.jpg,"[""en""]","[""XGFBiPzSS-68bo93qYhGvg""]",packt-prerequisites-and-advanced-machine-learning-for-nlp-xwtax,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",YJUJ5EKMEfC0sQr_9lgCRw,v2.ondemand,"This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

In this advanced UiPath course, you will explore key aspects of UiPath Orchestrator, learning how to effectively manage, monitor, and scale your robotic process automation (RPA) workflows. By the end of the course, you will have mastered Orchestrator features such as robots, environments, queues, triggers, and more, empowering you to build and manage automation projects efficiently. You will also gain hands-on experience in managing automation workflows with real-time applications.

The course is structured to ensure a seamless learning experience as you move through interactive lessons on setting up machines, managing assets, configuring queues, and orchestrating jobs. You'll apply your knowledge in a real-world project by automating a grade management system using UiPath's Dispatcher and Performer workflows. The project offers deep insights into process management and end-to-end debugging, which will enhance your practical skills. Additionally, the course includes a comprehensive section of mock interviews that simulate real-life RPA interviews to help you build confidence and ace your next job opportunity.

This course is perfect for anyone looking to advance their skills in RPA, especially professionals aiming to specialize in UiPath Orchestrator. No prior knowledge of Orchestrator is necessary, but familiarity with RPA concepts will help you navigate the course more effectively. Whether you’re looking to enhance your job prospects or deepen your automation expertise, this course offers all the tools and knowledge you need.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""158375127""]","[""Packt - Course Instructors""]",INTERMEDIATE,"Advanced UiPath, Orchestrator, and Mock Interviews","[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/41/9496e29127496cae4a97a39268c932/V21844.jpg,"[""en""]","[""qN97K_OlRHSwKdNV9_Fn1Q""]",packt-advanced-uipath-orchestrator-and-mock-interviews-ax2ar,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert"", ""Specialization""]",FyeC_mavEe-WbhKfqhh3sw,v2.ondemand,"Welcome to this exciting new course on Tailwind CSS! This course introduces some intermediate Tailwind concepts that are perfect for rapidly building and styling websites in the real world.

If you’re new to Tailwind, head to our Learn Tailwind course here on Coursera for a quick intro. Throughout this course, we’ll build on these concepts, taking you from the basics to more advanced features, and dive into even more amazing things that Tailwind can do.

We’ll use Tailwind to build a web store product card for our client using professional mockups—one for desktop and one for mobile. By the end, you'll have discovered intermediate and advanced styling techniques using Tailwind CSS and crafted a fully responsive, professional product card for a web store.","[{""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""163135794""]","[""Rachel Johnson""]",INTERMEDIATE,Tailwind CSS Practice Project: Build a Product Card,"[""1324""]",http://coursera-university-assets.s3.amazonaws.com/97/f444df8f4e4d8297bd419f9383cf4f/Frame-915.png,"[""Scrimba""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ee/58c43ebe5f4161939f304cfe2c0672/tailwind-css.jpg,"[""en""]","[""child~V2M1XHGNSLKyOKNxQrIPhw""]",build-a-product-card-with-tailwind-css,[],,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert""]",RfbQThFoEfGMqxJXqQYYkQ,v2.ondemand,"Android Automotive OS is transforming how millions interact with their vehicles daily, with major automakers like GM, Ford, and Volvo adopting this platform. This Short Course was created to help Software Development professionals accomplish building production-ready infotainment applications that meet automotive safety standards. By completing this course, you'll be able to architect AAOS apps that integrate seamlessly with vehicle systems while ensuring driver safety compliance. By the end of this course, you will be able to: Understand Android Automotive system architecture to describe the roles of System UI, car services, and Vehicle HAL in infotainment stacks, Apply Car App Library templates to integrate a media playbook app that conforms to driver-distraction guidelines, and Apply emulator or device deployment steps to install and test an AAOS application using appropriate manifest and permission settings. This course is unique because it provides hands-on experience with real Vehicle HAL integration and teaches both GAS and non-GAS implementation approaches across multiple OEM platforms. To be successful in this project, you should have a background in Android development and familiarity with Android Studio.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""193200302""]","[""Hurix Digital""]",INTERMEDIATE,Introduction to Android Automotive for Infotainment Systems,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/72/9a44b418d74458bf736753b52085e7/Logo-Image-1200-X-1200.png,"[""en""]",[],introduction-to-android-automotive-for-infotainment-systems,[],150 minutes,4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert""]",5VagU-vaEeyozBJ-29c9rQ,v2.ondemand,"Learn how to write efficient, maintainable C++ code for data-intensive applications in this hands-on course. Key application areas include scientific simulation software, statistical data processing, and computer graphics.

You’ll begin by exploring how modern C++ supports high-efficiency programming and review the principles of a central piece of hardware in data-intensive applications: computer memory.
Next, the course shifts to software design. You’ll examine performance shortcomings of traditional object-oriented programming and dive into data-oriented perspective, which improves performance by structuring code around the data itself. You’ll learn how this paradigm overcomes bottlenecks and leads to more scalable, high-performance solutions.

Finally, you’ll apply these principles to modern multi-threaded systems. Through hands-on experience you will learn to use C++'s built-in parallel features to target both multi-core CPUs and GPUs.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""7720373"", ""6403300"", ""8046263""]","[""Jonas Latt"", ""Bastien Chopard"", ""Jean-Luc Falcone""]",INTERMEDIATE,Data-Oriented C++ in Scientific Programming,"[""49""]",https://coursera-university-assets.s3.amazonaws.com/85/c23dd1649ff86f49b24903aab7c7c1/UNIGE-Logo-ClassPages.png,"[""University of Geneva""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/80/70c51eed414b37aac57c6c5111283c/DataOrientedC-MOOCs-1200x1200.jpg,"[""en""]",[],data-oriented-scientific-programming,[],"5 weeks of study, 3-5 hours/week",4GA5JenxlgoHSv4IW,bJakW9KBs8KOm1PEb
[],"[""VerifiedCert""]",zbYRhbmHEfC_hBK8sRL5fQ,v2.ondemand,"Build Practical Voice Apps: From Basics to Implementation is a beginner-level course designed to help developers create voice applications that users actually want to use. As voice AI transforms industries from healthcare to retail, the demand for skilled voice application developers continues to grow. 

This course provides hands-on experience with the core technologies—speech recognition, natural language processing, and text-to-speech—while emphasizing real-world implementation challenges and user experience design. Through practical projects, real-world case studies from companies like Deepgram and VAPI AI, and comprehensive testing strategies, you'll learn to build voice applications that solve genuine business problems. 

The course covers everything from choosing the right APIs and optimizing for different environments to integrating with existing systems and deploying production-ready solutions. Whether you're adding voice features to existing applications or creating entirely new voice-first experiences, this course gives you the practical skills and strategic thinking needed to succeed in the rapidly evolving voice AI landscape.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""193200302""]","[""Hurix Digital""]",BEGINNER,Voice AI: Introduction to Building Voice Applications,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/57/c1c4806c554a15bd3258331df04113/Logo-Image-1200-X-1200.png,"[""en""]",[],voice-ai-introduction-to-building-voice-applications,[],30 min/week,MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",hwvdsk86Eem0lhKc4vCNig,v2.ondemand,"This course is designed to quite literally ‘make a science’ out of something at the heart of society: social networks. Humans are natural network scientists, as we compute new network configurations all the time, almost unaware, when thinking about friends and family (which are particular forms of social networks), about colleagues and organizational relations (other, overlapping network structures), and about how to navigate delicate or opportunistic network configurations to save guard or advance in our social standing (with society being one big social network itself). While such network structures always existed, computational social science has helped to reveal and to study them more systematically. In the first part of the course we focus on network structure. This looks as static snapshots of networks, which can be intricate and reveal important aspects of social systems. In our hands-on lab, you will also visualize and analyze a network with a software yourself, which will help to appreciate the complexity social networks can take on. During the second part of the course, we will look at how networks evolve in time. We ask how we can predict what kind of network will form and if and how we could influence network dynamics.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""1503466""]","[""Martin Hilbert""]",BEGINNER,Social Network Analysis,"[""83""]",http://coursera-university-assets.s3.amazonaws.com/c1/52e2b552e74c8d9455c00137787477/UCD-logo-200x48px.png,"[""University of California, Davis""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/df/d391ec800b45c0a0e9705fcd23abfb/DSV1080_1200x1200.png,"[""en""]","[""SIs8zE87EemPhBLbT0zqZA""]",social-network-analysis,[],"5 weeks of study, 2-5 hours/week",MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert""]",GJT3MD6xEemL3g4W6JiGWA,v2.ondemand,"The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science.  Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements.  Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data. Predicting future trends and behaviors allows for proactive, data-driven decisions.  During the class learners will acquire new skills to apply predictive algorithms to real data, evaluate, validate and interpret the results without any pre requisites for any kind of programming.  Participants will gain the essential skills to design, build, verify and test predictive models.  
You Will Learn
•	How to design Data Science workflows without any programming involved
•	Essential Data Science skills to design, build, test and evaluate predictive models
•	Data Manipulation, preparation and Classification and clustering methods
•	Ways to apply Data Science algorithms to real data and evaluate and interpret the results","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""4972118""]","[""Natasha Balac, Ph.D.""]",BEGINNER,Code Free Data Science,"[""53""]",http://coursera-university-assets.s3.amazonaws.com/c5/3de8182b104f82af1982b55e0ee124/new-1-UCSanDiego-Coursera-wide-2-.png,"[""University of California San Diego""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2c/bca490356f41469c05d572719e79e4/Logo.jpg,"[""en""]",[],code-free-data-science,[],,MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",xLtbzUAyEe-9Ig7qA4dB5w,v2.ondemand,"Data visualization is a powerful tool for exploring and communicating insights from data effectively. Seaborn, a Python visualization library built on top of Matplotlib, offers a wide range of features for creating attractive and informative statistical plots. This course provides a comprehensive overview of Seaborn, covering basic plotting techniques as well as advanced statistical visualizations. Participants will learn how to leverage Seaborn to visualize data distributions, relationships, and patterns, enabling them to convey complex information visually with confidence. 

Data visualization is a powerful tool for exploring and communicating insights from data effectively. Seaborn, a Python visualization library built on top of Matplotlib, offers a wide range of features for creating attractive and informative statistical plots. This course provides a comprehensive overview of Seaborn, covering basic plotting techniques as well as advanced statistical visualizations. Participants will learn how to leverage Seaborn to visualize data distributions, relationships, and patterns, enabling them to convey complex information visually with confidence. 

Participants should have a basic understanding of Python programming and fundamental data visualization concepts before enrolling in this course. Familiarity with Python's data manipulation libraries such as Pandas, and an introductory knowledge of Matplotlib, will be beneficial. This foundational knowledge will enable learners to quickly grasp Seaborn's functionalities and apply them effectively in their data visualization tasks.

By the end of this course, learners will be equipped to explain the critical role of data visualization in data analysis and interpretation. They will gain practical skills in creating basic plots using Seaborn to visualize data distributions and relationships. Additionally, learners will explore advanced statistical plots for deeper data analysis and develop the ability to customize and enhance Seaborn visualizations, ensuring their data stories are communicated clearly and impactfully.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""136060350"", ""141793623""]","[""Caio Avelino"", ""Starweaver""]",BEGINNER,Seaborn: Visualizing Basics to Advanced Statistical Plots,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7f/29e05958174bc7a52ddfa42cb06c8f/c2_Coursera-Originals_-Data-Science-Essentials-Toolkit_CertCard.png,"[""en""]","[""GxVpFci6RX2ERqHoNhbG8g"", ""jXUPJU2ISCCULa5FqgjD8A""]",seaborn-visualizing-basics-to-advanced-statistical-plots,[],1 Hour,MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert""]",yCz4aEQfEe-YIQr_7tz45w,v2.ondemand,"""GenAI for Technology Consultants"" is an immersive course designed to equip technology consultants with the knowledge and practical skills necessary to integrate Generative Artificial Intelligence (GenAI) into their daily tasks. Through the use of ChatGPT as the primary GenAI tool, participants will learn how to enhance productivity, foster innovation, and deliver superior value to clients.

This course is ideal for both seasoned technology consultants who want to maintain a competitive edge and aspiring professionals who aim to future-proof their skills. Additionally, it caters to business analysts seeking to streamline data analysis and automate report generation, enhancing their ability to make data-driven recommendations.

Participants should have a basic understanding of technology consultancy concepts and workflows, including client research, data analysis, and report generation. Experience with consulting tools and methodologies, as well as a fundamental knowledge of GenAI principles, is recommended. A curious mindset and willingness to explore new technologies will greatly benefit learners in this course.

By the conclusion of this course, consultants will possess the expertise to effectively incorporate GenAI tools into their consulting repertoire.

This course is ideal for both seasoned consultants looking to maintain a competitive edge and aspiring professionals seeking to future-proof their skills. It offers a robust foundation for achieving greater efficiency and innovation in consulting practices.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""149442492"", ""141793623""]","[""Karlis Zars"", ""Starweaver""]",BEGINNER,GenAI for Technology Consultants,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b0/c7c5bd196747ddb2af7bc048601927/Batch-7-1200-x-1200-px-1-.png,"[""en""]",[],genai-for-technology-consultants,[],1 Hour,MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",J39GXNpwEfCxtAr_9k9x9Q,v2.ondemand,"Learners will analyze Generative AI deployment environments, evaluate platform and vendor options, and apply best practices to integrate, deploy, and manage GenAI systems at scale. By the end of this course, learners will be able to design deployment architectures, assess operational trade-offs, and implement responsible GenAI solutions across real-world use cases.

This course equips learners with practical, job-ready skills for integrating Generative AI into production systems. Learners gain a structured understanding of the GenAI development landscape, deployment models, scalability considerations, and vendor evaluation strategies. Through real-world case studies, platform deep dives, and hands-on labs, learners move beyond theory to develop end-to-end deployment competence.

What makes this course unique is its balanced focus on strategy, technology, and execution. Instead of treating GenAI deployment as a purely technical exercise, the course emphasizes decision-making, cost management, risk mitigation, and responsible deployment practices. Learners explore leading platforms such as managed foundation model services and inference-optimized frameworks while applying best practices through guided projects. This course is ideal for professionals seeking to operationalize Generative AI solutions reliably, efficiently, and responsibly in modern enterprise environments.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""136048342""]","[""EDUCBA""]",BEGINNER,Apply Generative AI Integration and Deployment Strategies,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/85/24f760d49447f68de2740aeb454f04/188_1.png,"[""en""]","[""Sj29CqLiTwKdwQ9bC1-JLw""]",apply-generative-ai-integration-deployment-strategies,[],,MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",MGIkittQEfCd-xKyx35L5Q,v2.ondemand,"Did you know that hospitals using data-driven performance metrics can reduce readmission rates by up to 25% while improving patient satisfaction scores?

This Short Course was created to help data analysis professionals accomplish foundational healthcare data interpretation and metrics recognition.

By completing this course, you'll be able to confidently identify and calculate key healthcare performance indicators, interpret exploratory data analysis reports, and extract actionable insights from healthcare visualizations that you can apply immediately in your healthcare data role.

By the end of this course, you will be able to:
- Recognize common healthcare performance metrics and their formulas
- Understand exploratory data analysis (EDA) reports to identify key patterns

This course is unique because it bridges the gap between general data analysis skills and healthcare-specific applications, providing you with industry-standard metrics used across hospitals and healthcare systems.

To be successful in this project, you should have a background in basic mathematics and introductory statistics concepts.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""193200302""]","[""Hurix Digital""]",BEGINNER,Analyze Healthcare Data: Boost Patient Outcomes,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/81/fc7ad581fb4fc9895796e7437e8dcf/heathcarecourses.png,"[""en""]","[""yb2-t0BzQSayK-aXmSb6wg""]",analyze-healthcare-data-boost-patient-outcomes,[],107 minutes,MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",VuRXs3EiEeWrAxJQXw-8PQ,v2.ondemand,"In this first course of this specialization, you will discover what data visualization is, and how we can use it to better see and understand data. Using Tableau Public, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer. By the end of the course you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization. This course is designed for the learner who has never used Tableau before, or who may need a refresher or want to explore Tableau in more depth. No prior technical or analytical background is required. The course will guide you through the steps necessary to create your first visualization from the beginning based on data context, setting the stage for you to advance to the next course in the Specialization.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""168982638""]","[""Alexandra Wilson""]",BEGINNER,Fundamentals of Visualization with Tableau,"[""83""]",http://coursera-university-assets.s3.amazonaws.com/c1/52e2b552e74c8d9455c00137787477/UCD-logo-200x48px.png,"[""University of California, Davis""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/67/dc27f0490e11e6bdd5d9ef6a4743fd/GettyImages-152400281.jpg,"[""en""]","[""th2vYplFEeWIgw6ardKJWw""]",data-visualization-tableau,[],"4 weeks of study, 3-5 hours/week",MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",7nqR3OenEfCCaRJqYagQEw,v2.ondemand,"This course provides essential skills for professionals seeking to build and manage sophisticated, reliable reporting workflows. Learners will progress from manual report creation to creating fully automated distribution systems that deliver timely insights to stakeholders. You will master the critical process of data validation, learning how to systematically verify the accuracy of report metrics against source data to ensure absolute trust in the insights you provide.

Through practical, hands-on activities, you will learn to implement efficient reporting processes, from configuring scheduled delivery to investigating and documenting data discrepancies. The course is designed to equip you with a powerful, efficient toolkit to enhance reporting reliability. By mastering report automation, data validation, and clear documentation, you will be prepared to transform your role from simply building reports to delivering trusted, actionable intelligence that drives confident, data-informed decision-making in any business setting.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""199677978""]","[""LearningMate""]",BEGINNER,"Automate, Validate, and Deliver Insightful Reports","[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c5/1ce74c4b864193b5687ec9feabe920/CON-02676_img_courselogo.jpg,"[""en""]","[""EHD2gaDuT2WmSqFrDL8fgw""]",automate-validate--deliver-insightful-reports,[],150 minutes,MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",7zlrfeNdEeafIArLeQBXwg,v2.ondemand,"This course will introduce you to the wonderful world of Python programming!  We'll learn about the essential elements of programming and how to construct basic Python programs. We will cover expressions, variables, functions, logic, and conditionals, which are foundational concepts in computer programming. We will also teach you how to use Python modules, which enable you to benefit from the vast array of functionality that is already a part of the Python language. These concepts and skills will help you to begin to think like a computer programmer and to understand how to go about writing Python programs.

By the end of the course, you will be able to write short Python programs that are able to accomplish real, practical tasks. This course is the foundation for building expertise in Python programming. As the first course in a specialization, it provides the necessary building blocks for you to succeed at learning to write more complex Python programs.

This course uses Python 3.  While many Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This first course will use a Python 3 version of the CodeSkulptor development environment, which is specifically designed to help beginning programmers learn quickly.  CodeSkulptor runs within any modern web browser and does not require you to install any software, allowing you to start writing and running small programs immediately.  In the later courses in this specialization,  we will help you to move to more sophisticated desktop development environments.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""726142"", ""527518""]","[""Scott Rixner"", ""Joe Warren""]",BEGINNER,Python Programming Essentials,"[""13""]",http://coursera-university-assets.s3.amazonaws.com/f5/f983fc330847ecae8a5b6f93162c1b/Rice-Logo_Updated_Cropped_200x48.png,"[""Rice University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fc/6720309d7911e7bdab454d6583c382/Python-Developer.jpg,"[""en""]","[""ewCyzIQhEee-EQoLeZ0BdA""]",python-programming,[],This is a four week class with an expected workload of 5-7 hours per week.,MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",L3WJuYl7EfCTGhLFj6TQiQ,v2.ondemand,"Mathematics underpins every aspect of computing, from algorithms and artificial intelligence to data analysis and cryptography. Applied Mathematical Methods for Computing equips you with essential tools in algebra, vectors, matrices, sequences, series, combinatorics, probability, and statistics. These methods provide the structure and reasoning needed to solve complex computational problems. Across four modules, you’ll explore advanced techniques, practise solving real-world examples, and build the confidence to apply mathematics in programming, algorithms, and data science. By the end, you’ll have a comprehensive toolkit for modelling systems, analysing uncertainty, and reasoning rigorously about computational tasks. Whether you’re preparing for advanced studies in computer science or strengthening your foundations for professional roles, this course offers the mathematical depth you need to succeed.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""48985661""]","[""Omar Karakchi""]",BEGINNER,Applied Mathematical Methods for Computing,"[""26"", ""303""]",http://coursera-university-assets.s3.amazonaws.com/64/897490dbba11e891a84769f318bf74/1-Colour-Logo-Black-Text-CMYK.png,"[""University of London"", ""Goldsmiths, University of London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/57/bf52284b0340deaf1dd4866cc69015/Math-Course-2.png,"[""en""]","[""E_XdkdeaTOS9LEI_TUtAkg""]",applied-mathematical-methods-for-computing,[],,MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",p2Ho2PBAEfCkURJ26JwNHQ,v2.ondemand,"Build a sustainable mindfulness practice powered by AI guidance and personal data analysis. You'll learn the foundational principles of mindfulness—present-moment focus and nonjudgmental awareness—to explain why these techniques support wellbeing. Master the AI-guided session workflow, from receiving prompts to logging completion with active engagement. Most importantly, you'll analyze your attention drift patterns to identify your unique challenges and select targeted improvement tactics. Through realistic role plays and coach dialogues, you'll practice explaining mindfulness to skeptics and interpreting your own data. Designed for anyone seeking a systematic, evidence-based approach to mindfulness. No prior meditation experience or technical background required.","[{""subdomainId"": ""psychology"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""207141571"", ""207156218""]","[""Coursera Support"", ""Ritesh Vajariya""]",BEGINNER,"AI Mindfulness: Focus, Guide, Analyze","[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/89/8b7fd4c41b44f8b316e734a9b0c556/Self-Course.png,"[""en""]","[""VgYws4lTTM-SL81oEkaHIQ"", ""i0MlwycBT5K2sexp4DS_Hg""]",ai-mindfulness-focus-guide-analyze,[],30-60 minutes/week,MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert""]",OBJRggjbEfC3TQ5GC5VyRw,v2.ondemand,"This course offers students an opportunity to learn fundamentals of computation required to understand and analyze real world data. The course helps students to work with modern data structures, apply data cleaning and data wrangling operations. The course covers conceptual and practical applications of probability and distribution, cluster analysis, text analysis and time series analysis.

This course is Part 1 of 2.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""141976269""]","[""Qurat-ul-Ain Azim""]",BEGINNER,Foundations for Data Analytics Part 1,"[""517""]",http://coursera-university-assets.s3.amazonaws.com/5b/34d2acc0544ec39e8798c54cfaf34c/Monogram-Wordmark_RGB_186-K_courseracropped.png,"[""Northeastern University ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d2/67345117374e9294f9d9c1818d14a5/LogoImageCOE-1.png,"[""en""]",[],foundations-for-data-analytics-part-1,[],"7 weeks, 2-5 hours/week",MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert""]",W-xKMgJ0EfG75RKUFV6d3w,v2.ondemand,"Improving delivery at scale requires more than running SAFe ceremonies — it requires using data, prioritization, and reflection to drive real change. In this short, hands-on course, you’ll learn how to analyze Agile Release Train (ART) performance, make economically sound portfolio decisions, and run Inspect & Adapt events that lead to measurable improvement.

Designed for beginner SAFe practitioners in project and program management roles, this course focuses on practical application of SAFe measurement and continuous improvement practices. You’ll explore how to interpret ART metrics such as PI Predictability and escaped defects, identify throughput bottlenecks and quality gaps, and explain what those signals mean to leaders.

Through realistic scenarios, guided activities, and decision-based practice, you’ll apply Weighted Shortest Job First (WSJF) to evaluate portfolio epics and recommend funding priorities within Lean budgets. You’ll also design and facilitate an Inspect & Adapt workshop, using root-cause analysis and quantified goals to turn insight into action.

By the end of the course, you’ll be able to use data to guide decisions, prioritize work transparently, and lead improvement conversations that build trust and deliver results across the enterprise.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""200011885""]","[""ansrsource instructors""]",BEGINNER,Scaled Agile Framework (SAFe)/Optimize SAFe ARTs,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ff/26f7fd3e8d4e7183d8d4f5040b104e/Angie-Marpoe_1-1-.png,"[""en""]",[],scaled-agile-framework-safeoptimize-safe-arts,[],,MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",5dg1tMuvEeyv-RJie8hErw,v2.ondemand,"This course will provide students with an introduction to using specific data techniques to address key sports administrative functions in team and roster management.  The primary focus  is on the use of data analysis in player acquisition and retention, as well as player and coach assessment.  Students will learn how the collective bargaining agreement (CBA) and standard player contract (SPC) provide the framework for management decisions in which data analysis play a pivotal role.

There is a focus on data science techniques as applied to sports datasets. Students will interpret outcomes of data analysis within the context of a sports calendar; identify provisions of the CBA and SPC; and gain an understanding of how the provisions impact decisions on team and roster management.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""72977907"", ""78801165"", ""101111391"", ""20275075""]","[""Bruce Pitman"", ""Helen Drew"", ""Gerry Meehan"", ""Amy Moore""]",BEGINNER,"Player  Evaluation, Team Performance and Roster Management","[""117""]",http://coursera-university-assets.s3.amazonaws.com/e0/31a3853a284a86baa3219a8207a66f/SUNY_NEW_LOGO_Gotham_horizontal.png,"[""The State University of New York""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9e/fcf017d5ae49a09c5bf913cf1ead13/people-gdd488ccfd_1280.png,"[""en""]","[""child~GNsMYmNaTzeSj3eDgHugFw""]",player-evaluation-team-performance-and-roster-management,[],"5 weeks of study, 2.5 hours/week",MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",Fozkb5MPEfCJnQ7Vw9Wr8Q,v2.ondemand,"Take action on business automation and innovation using no-code AI platforms. This course delivers hands-on frameworks for selecting, implementing, and tracking AI-powered process improvements—from data collection to workflow automation to stakeholder reporting. By emphasizing regional nuances in the USA and Indian business landscapes, learners acquire critical thinking tools, measuring methods, and ethical approaches to lead sustainable AI projects.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""187597289""]","[""LearnQuest Network""]",BEGINNER,Applied No-Code AI for Business Processes,"[""527""]",http://coursera-university-assets.s3.amazonaws.com/ae/99864058c04a11a6b3fec071f69cc6/logo.png,"[""LearnQuest""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2a/b4060d707845489d76f664e2a4e36f/AIC01-C2-logo.jpeg,"[""en""]","[""HRPIbOoFTXegXD57ZxwcRg""]",applied-no-code-ai-for-business-processes,[],"3 weeks of study, 3 hours/week",MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert""]",3ArwU1jnEfGplAr_9hyxJQ,v2.ondemand,"This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

Generative AI is rapidly reshaping how organizations grow, compete, and operate. This course equips business leaders and executives with a practical understanding of AI’s strategic value, helping them identify opportunities for revenue growth, operational efficiency, innovation, and competitive advantage. Through real-world case studies and hands-on exercises, learners will develop the confidence to evaluate AI initiatives and make informed business decisions.

The journey begins with foundational AI concepts, including the business impact of Generative AI, key differences between AI and traditional software, and frameworks for identifying high-value opportunities. Learners then explore how AI drives revenue growth through sales transformation, marketing acceleration, customer experience enhancement, and AI-powered commerce, supported by examples from organizations such as Klarna, Morgan Stanley, Coca-Cola, and Shopify.

The course continues with operational excellence, cost reduction, governance, and organizational change management. Learners examine AI applications across HR, supply chains, legal operations, and compliance while developing practical adoption strategies. Additional modules focus on building AI teams, selecting use cases, managing risk, creating AI champions, and fostering a culture that supports sustainable transformation.

Designed for business leaders, executives, managers, consultants, entrepreneurs, and decision-makers, this beginner-level course requires no prior technical AI expertise. It is ideal for professionals seeking to understand AI from a strategic and business-focused perspective rather than a technical implementation standpoint.

By the end of the course, you will be able to evaluate AI opportunities, prioritize high-impact use cases, develop AI adoption roadmaps, implement governance frameworks, measure business value and ROI, and create a long-term strategy for leveraging Generative AI as a driver of growth, efficiency, and competitive advantage.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""158375127""]","[""Packt - Course Instructors""]",BEGINNER,Generative AI for Business Leaders & Executives,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d0/c15cd1c5e3473898d61e7436dd30d2/skill_image_square.jpg,"[""en""]",[],packt-generative-ai-for-business-leaders-and-executives-jfqaf,[],,MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",f6s8aXQ3EeWIfhKr_WcYsQ,v2.ondemand,"In this course, you will analyze and apply essential design principles to your Tableau visualizations. This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. You will define and examine the similarities and differences of exploratory and explanatory analysis as well as begin to ask the right questions about what’s needed in a visualization. You will assess how data and design work together, including how to choose the appropriate visual representation for your data, and the difference between effective and ineffective visuals. You will apply effective best practice design principles to your data visualizations and be able to illustrate examples of strategic use of contrast to highlight important elements. You will evaluate pre-attentive attributes and why they are important in visualizations. You will exam the importance of using the ""right"" amount of color and in the right place and be able to apply design principles to de-clutter your data visualization.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""17050851"", ""21664215""]","[""Govind Acharya"", ""Hunter Whitney""]",BEGINNER,Essential Design Principles for Tableau,"[""83""]",http://coursera-university-assets.s3.amazonaws.com/c1/52e2b552e74c8d9455c00137787477/UCD-logo-200x48px.png,"[""University of California, Davis""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/98/988140490e11e696a2ddf4ae06020f/GettyImages-468838041.jpg,"[""en""]","[""th2vYplFEeWIgw6ardKJWw""]",dataviz-design,[],"4 weeks of study, 5-7 hours/week",MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert""]",Lb3BZX5MEfC0phLnRPWG8Q,v2.ondemand,"This beginner-friendly course on Convolutional Neural Networks (CNNs) equips you with essential skills to understand deep learning fundamentals and apply them to real-world image recognition tasks. Learn how CNNs power modern AI applications and gain practical experience through guided lab demos. Build confidence in designing, training, and implementing CNN models effectively.

By the end of this course, you will be able to:

Understand CNN Basics: Explain what CNNs are and their role in deep learning and computer vision
Explore Core Components: Learn about convolution, ReLU, and pooling layers in CNNs
Recognize Image Processing: Understand how CNNs detect and classify image features
Apply CNN Models: Build and implement CNN models through hands-on guided labs
Gain Practical Skills: Develop expertise to handle real-world image classification projects

Ideal for beginners, and professionals interested in AI, computer vision, and deep learning.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""176758635""]","[""Priyanka Mehta""]",BEGINNER,Introduction to CNN Training,"[""1891""]",http://coursera-university-assets.s3.amazonaws.com/12/0d12c9fe2444ebadc05987a6ac2ab7/7_200x48_600_.png,"[""Simplilearn""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0b/491185a7f54f8c83849315800f214e/Introduction-to-CNN_2-copy.jpg,"[""en""]",[],introduction-to-cnn-training,[],,MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",PWRQ6CLcEfGXLQ7-V8zplw,v2.ondemand,"You will learn to convert raw customer and survey data into actionable segments tied directly to revenue and growth levers. This course introduces sophisticated persona-building, cross-tab and pivot analyses, and RFM (Recency, Frequency, and Monetary) segmentation so you can identify high-value cohorts and prioritize activation tactics. You'll practice extracting segments from both transactional and survey datasets, applying rigorous scoring and labeling conventions, and estimating incremental revenue from small-scale pilots. The curriculum focuses on translating these segmentation results into operational recommendations—including tailored retention, upsell, or reactivation campaigns—complete with simple lift estimates and implementation notes. You will prove that you can translate analytical outputs into actionable strategies and produce portfolio-ready documents showing that you can connect data to the bottom line.

By producing concise activation briefs and testing plans, you will learn to bridge the gap between analytic segmentation outputs and marketing or product execution, ensuring research recommendations can be implemented and measured for success. You will conclude this course with a high-impact project: executing a full RFM segmentation to calculate the profitability lift of specific customer segments. This process ensures you can move beyond simple data grouping to deliver evidence-based strategies that drive measurable business growth and customer lifetime value. This course provides the portfolio-ready artifacts necessary to demonstrate your ability to link data-driven insights directly to a company's bottom line.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""185939614""]","[""Professionals from the Industry""]",BEGINNER,Customer Segmentation and Analytics,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/09/aef0c202694bf0a6beda941768c552/CON-02754_img_courselogo.jpg,"[""en""]","[""zBUg4mBBTBisioc3HSHoVA""]",customer-segmentation-and-analytics,[],7 hours and 18 minutes,MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert""]",7fPooiCtEe671A66sAWTEw,v2.ondemand,"With the proliferation of connected objects (computers, tablets, watches, etc.), huge masses of data are generated every second. This Big Data has led to the emergence of a data economy, where data is the main source of competitive advantage for companies. In this sense, data and its processing tools have become a strategic priority for companies, and the main gas pedal of their digital transformation. 

-----------------------------------------------------------------------------------------------------------------------------------------
This MOOC addresses the role of data in the digital transformation of organizations through 10 course sequences spread over 5 weeks and a wide variety of content:

- Slideshows and video-scribes explaining the impact of data on businesses, the digital transformation needed to capitalize on data, and the tools, methods and technologies needed to implement these data-driven strategies.
- Videos featuring testimonials from professionals and academics, highlighting through concrete examples the importance of data as a catalyst for digital transformation and a source of competitive advantage.
- Compulsory reading to complement the topics covered in the slides and video, in particular the challenges and benefits of data management as part of digital transformation.
- MCQs covering the entire content of each chapter.

A certificate is awarded for any grade above 50%.

This MOOC has received financial support from the Patrick & Lina Drahi Foundation.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""105143895""]","[""Imed BOUGHZALA""]",BEGINNER,Data intelligence for businesses and managers,"[""297""]",http://coursera-university-assets.s3.amazonaws.com/74/b79db0d26111e6a94511b095e02908/Logo-large-page-description.png,"[""Institut Mines-Télécom""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/26/13577b1300439892e4665c79284569/bigdata.png,"[""en""]",[],data-intelligence-imtbs,[],"5 weeks of study, 4 to 5 hours/week",MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",30rhBbcQEe6K4wqD-imtDQ,v2.ondemand,"This course delves into the various risks and concerns associated with Generative AI, including business model risks, inaccuracies in AI-generated content, data security, and privacy concerns. 

It emphasizes the importance of the CEO in understanding and addressing these risks. A significant part of this course is dedicated to exploring the ethical considerations for using GenAI. It highlights the importance of developing responsible AI principles and practices, guiding CEOs in creating ethical principles for Responsible AI tailored specifically to their own companies. The course also focuses on the critical issues of data security and privacy in the use of GenAI. It concludes by providing an overview of the legal and regulatory landscape for GenAI, offering guidance on how to navigate this landscape effectively and ensure legal and regulatory compliance in the use of GenAI.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""6542365""]","[""Jeff Maggioncalda, Coursera CEO""]",BEGINNER,Navigating Generative AI Risks for Leaders,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/63/fbabccd21040019eb0a5d36a3d4216/image-16-.png,"[""en""]","[""j1hDjQPHSIWfUrhVjCHZzw""]",navigating-generative-ai-risks-for-leaders,[],,MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert""]",0gviQReHEeuSHgpZ7h3UkQ,v2.ondemand,"In this 1-hour long project-based course, you will learn how to create interpretable machine learning applications on the example of two classification regression models, decision tree and random forestc classifiers. You will also learn how to explain such prediction models by extracting the most important features and their values, which mostly impact these prediction models. In this sense, the project will boost your career as Machine Learning (ML) developer and modeler in that you will be able to get a deeper insight into the behaviour of your ML model. The project will also benefit your career as a decision maker in an executive position, or consultant, interested in deploying trusted and accountable ML applications.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""1312594""]","[""Epaminondas Kapetanios""]",BEGINNER,Interpretable Machine Learning Applications: Part 1,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/51/fdfee462ad492097f56409e5ee738e/dsc_1470_35090220435_o.jpg,"[""en""]",[],interpretable-machine-learning-applications-part-1,[],"2-hour course, including time of video recordings, practicing and readings, taking the quiz.",MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",usX8YzK1Ee2PAQonVRkX_w,v2.ondemand,"As leaders in your chosen field, you need to not only know how to ask the right questions but also answer them using data-based methods. Through this class, you will be able to get to the bottom of what you really want to know, describe the associated data related to that question, and visualize the information from that data to understand and explain the results.

This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""8162272""]","[""Wendy Martin""]",BEGINNER,"Defining, Describing, and Visualizing Data","[""71""]",http://coursera-university-assets.s3.amazonaws.com/e1/d25de6c2be4186a8884c35a4284184/Boulder-FL.png,"[""University of Colorado Boulder""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a5/1d978b23e24fa489d4f8610ee8d64e/DDM-Logo-1200-x-1200-px-.png,"[""en""]","[""uolocjK1Ee2QXRKXckk5Lw""]",defining-describing-and-visualizing-data,[],,MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",SHgbkubFEe2dBg70uMCUbw,v2.ondemand,"This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI.

In this course, you'll learn how to use Power BI to create and maintain relationships in a data model and form a model using multiple Schemas. You'll explore the basics of DAX, Power BI's expression language, and add calculations to your model to create elements and analysis in Power BI. You'll discover how to configure the model to support Power BI features for insightful visualizations, analysis, and optimization. 

After completing this course you'll be able to:

●	Create and maintain relationships in a data model.  
●	Form a model using a Star Schema  
●	Write calculations DAX to create elements and analysis in Power BI 
●	Create calculated columns and measures in a model 
●	Perform useful time intelligence calculations in DAX 
●	Optimize performance in a Power BI model  

This is also a great way to prepare for the Microsoft PL-300 exam. By passing the PL-300 exam, you’ll earn the Microsoft Power BI Data Analyst certification.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""56970540""]","["" Microsoft""]",BEGINNER,Data Modeling in Power BI,"[""705""]",http://coursera-university-assets.s3.amazonaws.com/73/8792b24ae547c1a582c33f7ea4d569/Microsoft-logo_rgb_200x43.png,"[""Microsoft""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/04/af996642ff4bb5a37c165fb4a6ccc1/Course-4.png,"[""en""]","[""nF9rQ0oBQhy5Bfv-kRFZjg""]",data-modeling-in-power-bi,[],"4 weeks of study, 3 - 5 hours/week.",MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",_wZep2IFEe6yuQ41HILERQ,v2.ondemand,"In today's data-driven world, generating reports efficiently is a valuable skill for professionals across various industries. This course introduces beginners to the world of automated report generation using AI-powered tools and techniques. You will learn how to leverage the capabilities of artificial intelligence to streamline the reporting process, save time, and improve data accuracy. 

By the end of this course, you will not only grasp foundational concepts but also have the skills to streamline your personal and professional life; whether it's tracking and reporting on your personal finances, health and wellness, home energy efficiency, or implementing automated reporting solutions for your company's sales or marketing, saving valuable time and resources while improving data accuracy and decision-making. Moreover, you'll have the knowledge and confidence to explore automation opportunities within your workplace, making you an asset in the digital transformation era.  

Upon completing this course, learners can utilize AI-driven tools to generate automated reports, thereby improving productivity and data accuracy in their respective fields. 

Audience: Office Professionals, Consultants, Students, Small Business Owners, Reporting and Automation Enthusiasts 

To fully benefit from the "" Introduction to Automated Report Generation with AI "" course, learners should have basic computer skills, familiarity with software, an interest in data, analytics, and reporting, and access to a computer or device for practice.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""139312072"", ""141793623""]","[""Arkadi Avanesyan"", ""Starweaver""]",BEGINNER,Automated Report Generation with Generative AI,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/16/b84a04af764484b34e4c80a529d237/sales4_Coursera-Originals_-Data-Science-Essentials-Toolkit_CertCard.png,"[""en""]","[""-SxYGQPEQZqMq_SSyT7Ibg"", ""Dm_zd2WUT5CJfKwOrVIt_A"", ""EAGrmU_zR8yojjFCZ21dpg""]",automated-report-generation-with-generative-ai,[],75 minutes ,MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",xWCvR9_DEfCFPQ6o9xscqw,v2.ondemand,"By completing this course, learners will be able to analyze structured datasets, apply Pivot Tables for meaningful summaries, design effective charts, interpret data using advanced visualization techniques, and perform dynamic calculations using Excel equations and intelligent analysis tools.

This Advanced Excel course is designed to help learners move beyond basic spreadsheet usage and develop strong analytical and visualization skills required in today’s data-driven roles. Learners will gain hands-on experience in understanding dataset structure, building Pivot Tables, and transforming raw data into clear, insightful charts. The course also explores advanced chart formatting, dataset parameters, and Excel’s smart features such as Analyze Data and recommended charts to enhance accuracy and efficiency.

What makes this course unique is its structured, outcome-driven approach that connects data preparation, visualization, and analysis into a single learning journey. Each concept is reinforced through practical examples that mirror real-world business scenarios, enabling learners to make confident, data-backed decisions. Whether for reporting, analytics, or dashboard creation, this course equips learners with practical Advanced Excel skills that are immediately applicable in professional environments.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""136048342""]","[""EDUCBA""]",BEGINNER,Analyze & Visualize Data Using Advanced Excel,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1c/77a202f1d4488f936aeaa015bfc6f6/250_1.png,"[""en""]","[""hG3Ebu4MQFGpLKcle71oNw""]",analyze-visualize-data-using-advanced-excel,[],,MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",I3p0J6pPEe6DtA6TNFYzNQ,v2.ondemand,"The Advertising in the Age of Generative AI course provides you with the knowledge, skills, and tools needed to build and maintain a clear and strong brand that is distinguishable from the competition and builds customer loyalty, familiarity, and comfortability. This course will allow for you to appropriately practice using Generative AI to generate compelling and effective logos as part of a brand strategy. This course is ideal for marketing professionals looking to create and establish a strong brand identity for their organization and want to gain valuable insights on how Generative AI is used in brand awareness and logo generation.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""6538593""]","[""Rajkumar Venkatesan""]",BEGINNER,Advertising in the Age of Generative AI ,"[""1004""]",http://coursera-university-assets.s3.amazonaws.com/89/9f5d0724af4fb5adee9848b6f189c8/Darden_Foundation_Monogram_200x48.png,"[""University of Virginia Darden School Foundation""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f2/217212c77045a49a4f8f1e7c1dce92/shutterstock_2321159305.jpg,"[""en""]","[""4xxf-6RPRZq9y00cmmPO_g""]",advertising-in-the-age-of-generative-ai,[],"2 weeks of study, 1-2 hours per week.",MIUhqf8CLJsW51maP,oylrSUbPpNedJRDCr
[],"[""VerifiedCert"", ""Specialization""]",Q_5VvDMUEfGV2g4LNnKOyw,v2.ondemand,"Develop the ability to analyze global currencies, evaluate exchange rate dynamics, and apply currency conversion techniques in real-world financial scenarios. This course equips learners with practical skills to interpret currency movements, solve multi-step conversion problems, and assess global financial implications with confidence.

Learners will gain a strong foundation in foreign exchange concepts, including currency identification, economic determinants, and global currency systems. Through structured examples, real-life case studies, and problem-solving exercises, the course enables learners to move from basic understanding to advanced application.

What makes this course unique is its hands-on, scenario-driven approach—combining conceptual clarity with practical problem-solving. Learners will engage with travel-based examples, multi-currency calculations, and assessment-style challenges that mirror real financial decision-making.

By the end of the course, learners will be able to confidently handle currency conversions, evaluate financial outcomes across currencies, and apply treasury-related insights in global business environments, making it highly valuable for finance professionals, students, and aspiring analysts.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""136048342""]","[""EDUCBA""]",,Analyze & Apply Currency Conversion in Treasury,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/40/8091723c5e40e9a9d9d6bf2d6e45cd/43.1.png,"[""en""]","[""e6yuX5k5SMaZKomcSgNviw""]",analyze-apply-currency-conversion-treasury,[],,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert"", ""Specialization""]",VITY_jMYEfGsBxJ3zxcXIw,v2.ondemand,"Master the skills to analyze financial statements and make informed corporate decisions in today’s dynamic business environment. Learn how to evaluate profitability, interpret financial reports, and apply economic principles to real-world scenarios.

This course provides a practical, hands-on approach to financial analysis, accounting, and corporate finance, helping you build job-ready skills used by financial analysts. You’ll learn how to structure income statements, analyze balance sheets, assess working capital, and evaluate key metrics like revenue recognition, inventory valuation, and earnings per share (EPS).

Unlike traditional courses, this program integrates economics, accounting, and financial decision-making, enabling you to connect theory with real business applications. Through structured frameworks and real-world examples, you will develop the ability to assess company performance and make strategic financial decisions.

By the end of this course, you will confidently interpret financial reports, evaluate investments, and support business strategy with data-driven insights.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""136048342""]","[""EDUCBA""]",,Financial Statement Analysis & Corporate Finance Decisions,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bf/08c3a51e35462782f4b9539d196974/39.1.png,"[""en""]","[""ejtZD2BNS3236O0yvbWWSw""]",financial-statement-analysis-corporate-finance-decisions,[],,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert""]",YMopUChCEfGM8RJZQM8Z1w,v2.ondemand,"Master Excel VBA for financial modeling and automate complex finance workflows with real-world projects and simulations.
Learn how to build dynamic financial models, automate repetitive Excel tasks, and develop advanced analytical tools using VBA.

This hands-on course teaches practical VBA programming for finance professionals, analysts, and Excel users. Learners will create automated financial models, retirement planning systems, Monte Carlo simulations, GARCH-based stock forecasting models, and Asian option pricing tools. The course also covers debugging, user forms, add-in creation, data cleaning automation, and advanced Excel workflows.

By the end of the course, learners will confidently apply VBA to streamline financial analysis, improve reporting efficiency, and build scalable Excel-based financial solutions used in real business environments.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""136048342""]","[""EDUCBA""]",,Financial Modeling with Spreadsheet Automation,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/62/1398960d594a94aa6c61ca45ecce42/664.1.png,"[""en""]",[],financial-modeling-spreadsheet-automation,[],,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert"", ""Specialization""]",9e6CP1jLEfGplAr_9hyxJQ,v2.ondemand,"Learn how to analyze mutual funds, ETFs, portfolio strategies, and investment risks using practical financial market concepts and industry-focused learning. This course provides a comprehensive understanding of mutual fund investing, taxation, debt funds, ETFs, portfolio metrics, and investor strategies used in modern financial markets.

The course begins with the foundations of mutual funds and the Indian mutual fund industry structure, helping learners understand diversification, fund participants, AMCs, custodians, registrars, and regulatory frameworks. Learners will build a strong understanding of how mutual funds operate and how investors participate in financial markets.

As the course progresses, learners explore equity mutual funds, index investing, large-cap diversification strategies, and portfolio performance metrics such as NAV, AUM, expense ratio, tracking error, and portfolio turnover. The course explains how professional investors evaluate fund performance and investment quality.

Advanced modules cover ETFs, Gold ETFs, exchange-based investing, market making, liquidity management, debt funds, bond pricing, yield concepts, interest rate risk, credit risk, and fixed maturity strategies. Learners will also understand taxation concepts such as indexation, dividend options, growth strategies, and regulatory investor protection mechanisms.

The course also emphasizes practical investment techniques including SIP, STP, SWP, dividend reinvestment, portfolio diversification, long-term wealth planning, and NCFM preparation strategies.

What makes this course unique is its comprehensive blend of mutual fund investing, ETF analysis, taxation, portfolio management, and practical market preparation. By the end of the course, learners will be able to confidently analyze mutual fund schemes, evaluate portfolio performance, apply investment strategies, and make informed financial decisions in real-world market environments.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""136048342""]","[""EDUCBA""]",,Mutual Fund Investing and Market Preparation,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1d/69bd6d7a4844a9bbd159718b61fc81/367.1.png,"[""en""]","[""QxKughBuQpSGnnVTVHyfNQ""]",mutual-fund-investing-market-preparation,[],,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert"", ""Specialization""]",irKVRBuhEfGQ2w5GCXwtVw,v2.ondemand,"Learn how to analyze budgeting processes, apply variance analysis techniques, and create MIS-based financial reports using practical business and Excel-driven approaches. This course provides hands-on skills in budgeting, cost control, financial performance evaluation, and management reporting for real-world decision-making.

The course begins with strong budgeting foundations, helping learners understand the role of budgeting in financial planning and organizational control. Learners will explore the differences between forecasting and budgeting, understand the characteristics of effective budgeting systems, and develop structured sales budgets used in business planning.

As the course progresses, learners build expertise in variance analysis by understanding how financial deviations are identified, interpreted, and used to evaluate performance. The course covers standard variance formulas and provides practical insights into material and labor cost variances for effective financial analysis and cost control.

Advanced modules focus on overhead variances and MIS reporting applications. Learners will analyze fixed and variable overhead variances and create variance analysis reports using Excel-based MIS techniques to support operational and strategic decision-making.

What makes this course unique is its integrated approach that combines budgeting, variance analysis, and MIS reporting into a single practical workflow. By the end of the course, learners will be able to confidently prepare budgets, interpret financial variances, create professional MIS reports, and apply financial analysis techniques in real business environments.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""136048342""]","[""EDUCBA""]",,Budgeting and Variance Analysis Techniques,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/23/566f9234174fe499d87407fcb8c842/333.1.png,"[""en""]","[""jY_bpL9URd-j5E6MxPYW0A""]",budgeting-variance-analysis-techniques,[],,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert"", ""Specialization""]",_1ia6FDJEe-mywr_6bZvLw,v2.ondemand,"Prospecting and Selling Insurance focuses on effective strategies to sell insurance, from identifying potential customers to building long-lasting client relationships.

Throughout this course, you'll master various methods to find and generate leads, including prospecting and lead generation techniques. You'll explore how successful salespeople identify and connect with potential clients, and learn practical skills through hands-on lessons and activities.

The course will also delve into the sales process, where you'll gain expertise in consultation strategies, assessing customer needs,  presenting tailored insurance solutions, overcoming objections, and closing sales. By mastering these techniques, you’ll confidently guide customers towards the best insurance options available.

Finally, you'll focus on client retention and growth strategies. You'll discover how to keep clients satisfied, identify opportunities for upselling, and generate referrals. Through interactive lessons and real-world examples, you'll learn to apply these techniques to retain clients and expand your business.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""164218954""]","[""Liberty Mutual Insurance""]",BEGINNER,Prospecting and Selling Insurance,"[""902""]",http://coursera-university-assets.s3.amazonaws.com/f7/1388c3fd4a41f7906d15844cb87831/LMI_200.png,"[""Liberty Mutual Insurance""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/00/547701da484ba48ef105a6068f37fc/Thumbnail3.png,"[""en""]","[""KZp_cfS_TjSqxjVhWRQBwQ""]",prospecting-and-selling-insurance,[],"4 weeks of study, 3-4 hours/week",V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert"", ""Specialization""]",4ble-HjTEfCkgA5eo5L6Uw,v2.ondemand,"Develop practical quantitative finance skills by learning how to analyze, apply, and evaluate financial data using SAS. This course introduces the essential statistical techniques and SAS procedures used to interpret financial datasets, assess market behavior, and support data-driven financial decision-making.

You will begin by exploring the SAS environment and applying descriptive statistics to financial data. As you progress, you will analyze datasets using T-Tests and correlation methods, then apply regression modeling and variance analysis to interpret statistical relationships and evaluate financial market behavior. Building on these foundations, you will use advanced SAS procedures to analyze economic datasets, forecast financial trends, and interpret real-world financial market data, including the BSE Sensex and foreign exchange markets.

This course is designed for learners who want to strengthen their quantitative finance and financial data analysis skills using SAS. Its practical approach emphasizes applying statistical methods to real financial and economic scenarios rather than focusing on theory alone. By the end of the course, you will be able to analyze financial datasets, apply SAS procedures, interpret statistical outputs, forecast financial trends, and evaluate financial risks with greater confidence.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""136048342""]","[""EDUCBA""]",,"Quantitative Finance with SAS: Apply, Analyze & Evaluate","[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ab/4ba898db6443bd98bcd184b6e7f9fb/204.1.png,"[""en""]",[],quantitative-finance-sas-apply-analyze-evaluate,[],,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert"", ""Specialization""]",jPEdsYhdEeughAqMzJLqTQ,v2.ondemand,"This course is a general overview of a variety of personal finance topics - including budgeting, the importance of your credit score, cash flow, setting financial goals, and taxes.  Taught by two CERTIFIED FINANCIAL PLANNER™ Professionals, the concepts are broken down through videos, readings, and activities so you can apply what you are learning in real time. The course provides the foundation to build on for the rest of The Fundamentals of Personal Finance Specialization or as a standalone survey course to improve your understanding of basic personal finance terminology, as well as how they apply to your own financial situation. 

Whether you are just starting college, nearing retirement, or somewhere in between, this course will provide you with the knowledge to understand your money and actionable steps to manage your finances in the future. This course is geared towards learners in the United States of America.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""77620729""]","[""Brian Walsh""]",BEGINNER,Introduction to Personal Finance,"[""752""]",http://coursera-university-assets.s3.amazonaws.com/fe/556fc303f24e43969e39aae789742a/SoFi_horz_RGB_Turquoise_CircleR_Upward.png,"[""SoFi""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/14/7ddfa9f2044da397dd73d2d1ecc32f/082819-SoFi-Members-1039_Referral_Willie-R-Steve-E-Couch-v3.jpg,"[""en""]","[""jLhau4hdEeuI0BJy6dqCoQ""]",personal-finance-introduction,[],,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert"", ""Specialization""]",3GpGDwiuEfGaeQr_0lkuzQ,v2.ondemand,"This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

Master the core foundations of QuickBooks Online and gain the confidence to manage your business finances with clarity and control. In this course, you’ll learn how to navigate the interface, record daily transactions, manage customers and vendors, track inventory, and generate powerful financial reports. By understanding both the “how” and the “why” behind bookkeeping processes, you’ll develop practical accounting skills that directly support smarter business decisions.

You’ll begin with a beginner-friendly introduction to QuickBooks Online, exploring its interface and innovative features. Then, through a comprehensive bootcamp experience, you’ll move step-by-step from setup and customization to managing products, services, and chart of accounts. Along the way, you’ll optimize workflows using shortcuts, automation tools, and best practices to avoid common user errors.

As the course progresses, you’ll handle real-world scenarios including invoicing, receiving payments, managing expenses, working with bank feeds, reconciling accounts, and generating Profit & Loss and Balance Sheet reports. You’ll also explore advanced features like recurring transactions, job costing, journal entries, and AI-powered bank rules to improve efficiency and accuracy.

This course is ideal for small business owners, freelancers, aspiring bookkeepers, and administrative professionals who want hands-on control of their financial systems. No prior accounting experience is required, though basic computer literacy is recommended. The course is designed at a beginner level and progresses in a structured, practical manner.

By the end of the course, you will be able to confidently set up, manage, automate, and reconcile business transactions in QuickBooks Online while generating accurate financial reports for informed decision-making.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""158375127""]","[""Packt - Course Instructors""]",BEGINNER,Introduction to QuickBooks Online & Setting Up Your Business,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/07/e96b5e42d641f18703e2007474f67c/V36883.jpg,"[""en""]","[""QezRGfI8RzG-KygpHa4Omg""]",packt-introduction-to-quickbooks-online-and-setting-up-your-business-h79xw,[],,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert""]",PsEoIpBoEfCAowr_1oEn-Q,v2.ondemand,"By the end of this course, learners will be able to identify the functions of financial markets, differentiate between equity, debt, and derivative instruments, evaluate the pros and cons of investment tools, and analyze the role of intermediaries, stock exchanges, and regulators in capital markets.

This comprehensive program is designed to give learners a practical and structured understanding of capital markets and financial instruments. Starting from foundational concepts, it explores equity, preference shares, debentures, derivatives, and mutual funds, while also covering the infrastructure, intermediaries, and processes that ensure smooth market operations.

Learners will benefit from step-by-step lessons, structured modules, practice quizzes, and graded assessments that reinforce knowledge and build confidence. The course uniquely combines conceptual clarity with applied insights, making complex topics like derivatives, corporate actions, and trade life cycles easy to understand and apply in real-world scenarios.

Whether you are an aspiring investor, finance student, or professional looking to strengthen your market knowledge, this course equips you with the ability to analyze, evaluate, and make informed investment decisions with confidence.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""136048342""]","[""EDUCBA""]",,"Capital Markets: Analyze, Evaluate & Invest","[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0c/76695423d4480589f969f7a4673f23/476.1.jpg,"[""en""]",[],capital-markets-analyze-evaluate-invest,[],,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert"", ""Specialization""]",gknqwiwaEfG2sw65jDhxwQ,v2.ondemand,"Master advanced technical analysis using PHI-Ellipses and Fibonacci trading strategies.
Learn how to identify high-probability trades with precision and confidence.

This course is designed to help traders move beyond basic indicators and develop a structured, reliable trading approach. You will learn how PHI-Ellipses dynamically adapt to price movements and how to combine them with Fibonacci tools, candlestick patterns, and chart structures.

Through practical examples, you will understand how to filter market noise, identify trend reversals, and improve entry and exit timing. The course focuses on combining multiple confirmations to increase trading accuracy while maintaining disciplined risk management.

By the end of this course, learners will be able to analyze market trends, apply advanced tools effectively, and build a robust trading strategy suitable for both short-term and long-term trading environments.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""136048342""]","[""EDUCBA""]",,PHI-Ellipses and Fibonacci Trading,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d1/7b0927dd0341f2ab0280835aa2e42c/507.1.png,"[""en""]","[""qQQXJpiXQcavZ6tXDI6djw""]",phi-ellipses-fibonacci-trading,[],,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert"", ""Specialization""]",XvJBLJVHEea0-w59UvC4Ag,v2.ondemand,"This course, developed at the Darden School of Business at the University of Virginia and taught by top-ranked faculty, will teach you the tools you'll need to understand the fundamentals of financial accounting. Concise videos, the financial records of a small business, and ""your turn"" activities guide you through the three most commonly used financial statements: the Balance Sheet, the Income Statement, and the Statement of Cash Flows. Beyond recording transactions, you'll learn how to prepare these financial statements, and read and analyze them to draw basic conclusions about a company's financial health.

By the end of this course, you will be able to:
- Use journal entries to record transactions
- Prepare and use t-accounts to summarize transactions recorded during an accounting period
- Describe the three most commonly used financial statements and how they fit together
- Prepare these financial statements based on transactions recorded during an accounting period
- Draw basic conclusions about a company's financial health","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""24654452""]","[""Luann J. Lynch""]",BEGINNER,Financial Accounting Fundamentals,"[""18""]",http://coursera-university-assets.s3.amazonaws.com/0f/80aa19dc384a7482ea6f428601255d/uva_primary_rgb.png,"[""University of Virginia""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d9/b7a0d0ff9c11e6b4394f01375dc7b5/FAFLogo.jpg,"[""en""]","[""JIDtDNziEeq5dgp4eocg-Q""]",uva-darden-financial-accounting,[],"5 weeks of study, 2-3 hours/week",V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert"", ""Specialization""]",sKnc674YEfCxsAr_0lD4gw,v2.ondemand,"Did you know that organizations lose an average of 5% of their revenue annually due to fraud, with payment fraud being one of the most common schemes? This Short Course was created to help accounting professionals accomplish systematic verification of financial controls and authorization processes.

By completing this course, you'll be able to confidently explain the business rationale behind dual authorization systems, systematically verify transaction approvals using standardized checklists, and create clear documentation that supports internal control compliance. These skills will transform your ability to safeguard organizational assets and ensure regulatory adherence in your daily accounting operations.

By the end of this course, you will be able to:
Understand the rationale for dual authorization controls on high-value transactions
Apply a checklist to confirm proper approval on financial documents

This course is unique because it combines foundational control theory with hands-on verification practice, using real-world scenarios that mirror actual accounting department workflows and compliance requirements.

To be successful in this project, you should have a background in basic accounting principles and familiarity with financial document processing.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""193200302""]","[""Hurix Digital""]",BEGINNER,Payment Controls and Approvals,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b4/cb0c12768544f6aa6637f4cd67a3ec/accountspayablecourse.jpg,"[""en""]","[""q7CT4HtjScmtzpzRhnBcJA""]",payment-controls-and-approvals,[],92 minutes,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert"", ""Specialization""]",PkNmtCQ_EfGQqxLj1XMzaQ,v2.ondemand,"Learn how to analyze mutual fund structures, evaluate portfolio performance, and apply investment strategies to optimize risk and returns in modern financial markets. This course provides practical knowledge of mutual fund investing, asset allocation, performance analysis, risk evaluation, and portfolio management techniques.

The course begins with the foundations of mutual funds, helping learners understand mutual fund structures, benefits, key characteristics, and the roles of different participants involved in fund management and investment operations. Learners will build a strong conceptual understanding of how mutual funds support diversified investing and wealth creation.

As the course progresses, learners focus on portfolio construction and fund management techniques, including asset allocation strategies, fund categories, accounting principles, and performance evaluation methods. The course explains how equity, debt, and hybrid mutual funds are managed and assessed using real-world financial metrics.

Advanced modules cover portfolio performance measurement, risk analysis, and practical numerical applications. Learners will calculate returns, interpret expense ratios, compare benchmark performance, and evaluate mutual funds using structured analytical techniques and investment frameworks.

What makes this course unique is its comprehensive, application-driven approach that combines mutual fund fundamentals, portfolio analysis, risk evaluation, and practical calculations into one cohesive learning experience. By the end of the course, learners will be able to confidently evaluate mutual funds, analyze portfolio performance, assess risks, and make informed investment decisions aligned with financial goals.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""136048342""]","[""EDUCBA""]",,Mutual Fund Performance and Risk Analysis,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d2/ab0578e78f45a6a0042f9bc4b36c01/362.1.png,"[""en""]","[""913M1ErsSFuDzaDHKzWwfw""]",mutual-fund-performance-risk-analysis,[],,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert"", ""Specialization""]",Itvkk3PkEfG7_xL30Iiavw,v2.ondemand,"Every tax workpaper, every ONESOURCE entry, and every research note a CB1 tax analyst produces starts with the same foundation: knowing how to get data, structure it, use AI responsibly, and find the authoritative guidance that backs up your work. This course builds that foundation from the ground up.

Digital Tools & Data Management is the first long course in the Tax Analyst with AI Skills Professional Certificate. Across five short courses, you will build the everyday toolkit that carries forward into every later course in the program: constructing Excel tax support schedules that reconcile cleanly and withstand reviewer scrutiny, using AI tools including ChatGPT to draft summaries and checklists within approved data-handling limits, writing structured prompts using the OJSFC framework to produce reliable AI outputs for routine tax tasks, conducting defensible tax research using the hierarchy of tax authorities with AI as a framing tool rather than a citable source, and extracting trial balance and account activity data from ERP systems using crosswalk templates to map accounts to tax return lines.

No prior tax, AI, or ERP experience is required. You need only basic spreadsheet familiarity — entering formulas and navigating multiple tabs — to get started.

By the end of this course, you will be equipped to handle the foundational data and tool workflows that support every compliance task in a CB1 tax analyst role.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""210722292""]","[""Samuel Oduro""]",BEGINNER,Digital Tools & Data Management ,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/be/2ee6863221445eb4ec4312b4b71664/taxanalystcourses.png,"[""en""]","[""o_M32oAvRDmRuXR2QjYQUA""]",digital-tools-data-management,[],,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert""]",IByJ51FlEeulPAroU7-MFQ,v2.ondemand,"In this project, we will use Python to perform stocks analysis such as calculating stock beta and expected returns using the Capital Asset Pricing Model (CAPM). CAPM is one of the most important models in Finance and it describes the relationship between the expected return and risk of securities. We will analyze the performance of several companies such as Facebook, Netflix, Twitter and AT&T over the past 7 years. This project is crucial for investors who want to properly manage their portfolios, calculate expected returns, risks, visualize datasets, find useful patterns, and gain valuable insights. This project could be practically used for analyzing company stocks, indices or  currencies and performance of portfolio.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""48777395""]","[""Ryan Ahmed""]",BEGINNER,Python for Finance: Beta and Capital Asset Pricing Model,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/59/aebed601084f64b08448854c904eeb/Capital-Asset-Pricing-Model.png,"[""en""]",[],copy-of-portfolio-assets-allocation-and-statistical-data-analysis,[],2 hours,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert"", ""Specialization""]",3dLm0SniEfGcRA6of2p6hw,v2.ondemand,"Money moves through your life every single day — through your bank account, your debit card, your credit score, and your monthly bills. Yet many people never stop to examine the systems behind those transactions or how understanding them could put more control back in their hands. In this course you'll take a clear-eyed look at the financial tools you use every day and learn how to use them more strategically, from managing a checking account to understanding what your credit score is really saying about you. 

Your credit score can be the difference between getting approved or rejected, between a low interest rate and an expensive one. Your banking choices affect how quickly money moves, how much you pay in fees, and how protected you are when something goes wrong. And the true cost of borrowing is almost always higher than the rate you're quoted. This course gives you the knowledge to navigate all of it — not just to avoid costly mistakes, but to make the financial system work in your favor.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""205323684""]","[""Wiley Skills Network""]",BEGINNER,"Banking, Credit, and Consumer Debt","[""4357""]",http://coursera-university-assets.s3.amazonaws.com/be/8b133d3a37459386cbb52dc93d808d/Wiley_Wordmark_black_RGB.png,"[""John Wiley & Sons""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2e/a8d8bce24443bbb389cf90fbb36799/Slide5.png,"[""en""]","[""sIJo66igS8qvLSQ5-vChvA""]",wiley-banking-credit-consumer-debt,[],"2 weeks of study, 2.5 hours/week ",V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert"", ""Specialization""]",Um8pFcncEfC_WA6vdvdWGw,v2.ondemand,"Did you know that efficient accountants can save up to 25% of their time each week by mastering data entry shortcuts and streamlined software workflows? Speed and accuracy together are what make financial record-keeping truly effective.

This Short Course was created to help accounting professionals accelerate data entry processes, improve accuracy, and enhance efficiency in financial record-keeping tasks.

By completing this course, you will be able to enter financial data quickly and correctly using keyboard shortcuts and accounting software tools, helping you complete expense entries and reporting tasks with greater confidence and precision.

By the end of this course, you will be able to:

- Recognize keyboard shortcuts for numeric data entry in spreadsheets.
- Apply accounting software to accurately enter expense data.

This course is unique because it focuses on practical speed and accuracy techniques, empowering you to boost productivity through smarter data entry methods that reduce errors and save valuable time in your accounting workflow.

To be successful in this project, you should have:
- Basic spreadsheet skills.
- Knowledge of QuickBooks or similar tools.
- Understanding of financial data formats.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""193200302""]","[""Hurix Digital""]",BEGINNER,Accounting Data Entry Speedily,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cb/84d56d74264583a70d63f807b8ddf7/bookeepingcourse.png,"[""en""]","[""8Ul5YaYpSOeAlXQfPNV1wQ""]",accounting-data-entry-speedily,[],89 minutes,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert""]",iAkt6S2mEfGcRA6of2p6hw,v2.ondemand,"Master brokerage operations and the complete trade lifecycle in financial markets. Learn how trades move from execution to settlement in real-world capital markets.

This course provides a comprehensive understanding of brokerage operations, covering trade processing, clearing, settlement, and reconciliation. You will explore key financial instruments such as equities, bonds, options, and derivatives while gaining practical insights into systems like CNS and DTC.

Designed for aspiring finance professionals, this course bridges the gap between theory and real-world operations. You will learn how brokerage firms function, how trades are executed and settled, and how risks are managed through margin and compliance processes.

By the end of this course, learners will be able to analyze trade workflows, apply operational concepts, and understand the infrastructure that powers global financial markets—making it ideal for careers in investment banking operations, middle office, and capital markets roles.Master brokerage operations and the complete trade lifecycle in financial markets. Learn how trades move from execution to settlement in real-world capital markets.

This course provides a comprehensive understanding of brokerage operations, covering trade processing, clearing, settlement, and reconciliation. You will explore key financial instruments such as equities, bonds, options, and derivatives while gaining practical insights into systems like CNS and DTC.

Designed for aspiring finance professionals, this course bridges the gap between theory and real-world operations. You will learn how brokerage firms function, how trades are executed and settled, and how risks are managed through margin and compliance processes.

By the end of this course, learners will be able to analyze trade workflows, apply operational concepts, and understand the infrastructure that powers global financial markets—making it ideal for careers in investment banking operations, middle office, and capital markets roles.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""136048342""]","[""EDUCBA""]",,Financial Markets Operations and Settlement,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4a/a13793b6ce4f7586ca0671cc4e6809/571.1.png,"[""en""]",[],financial-markets-operations-settlement,[],,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert""]",ui52VHF3EfGhCQ7RVXYLUQ,v2.ondemand,"This course teaches tax professionals how to apply ethical safeguards when using AI in tax workflows. Learners will examine what information must never be entered into public AI tools, how to classify tax data by sensitivity, how to apply approved AI use controls in systems such as ONESOURCE and Excel-based workfiles, and how to respond to ethical concerns and potential breaches. The course is designed for early-career tax staff and other professionals who need practical, workflow-based guidance for protecting client confidentiality and maintaining professional integrity.

Course Learning Objectives
Explain why confidentiality and ethical controls are essential in modern tax practice
Distinguish between public AI tools and approved enterprise or internal AI environments
Classify tax-related information using a four-tier data classification model
Apply core AI use controls such as anonymization, draft labeling, source verification, human review, and documentation
Evaluate common ethical scenarios in tax work and identify appropriate responses
Follow reporting and escalation pathways for breaches, misstatements, policy violations, and workplace concerns","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""210722292""]","[""Samuel Oduro""]",,Enforce Ethical Tax Practices,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5b/abb0cfed384d8690700a284e56c995/taxanalystcourses.png,"[""en""]",[],enforce-ethical-tax-practices,[],,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert""]",vo2-2icdEe-_Bw7l9wp8FQ,v2.ondemand,"This course provides a comprehensive understanding of key accounting principles related to assets. It covers topics such as revenue recognition, bad debt expense, and various inventory methods including FIFO, LIFO, and average cost. The course is designed to help learners comprehend how these concepts impact financial statements and the importance of matching costs with sales.

This short course is part of the previous Master Track Certificate in Business Essentials. You may also be interested in a related short course from this program, ""The Basics of Accounting for Assets: Long-Term Assets.""","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""164136035""]","[""Bruce Busta""]",BEGINNER,Basics of Accounting for Assets,"[""61""]",http://coursera-university-assets.s3.amazonaws.com/cf/82eec655e94be18859ab2cc402667a/Corporate.png,"[""IE Business School""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fb/b8da88d12a4ae6b4e05b537b5d6242/3.png,"[""en""]",[],basics-of-accounting-for-assets,[],50 minutes,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert"", ""Specialization""]",Dz26W2BwEeyIUg4Qv2RsBQ,v2.ondemand,"Nossas boas-vindas ao Curso Riscos Financeiros (Crédito, Mercado e Liquidez).

Neste curso, você aprenderá sobre conceitos associados à seleção da carteira de investimento, à análise de retorno e riscos que são utilizados na gestão de carteiras e a conceitos sobre modelos utilizados na precificação e alocação dos ativos.

Ao final deste curso, você será capaz de:
- Reconhecer o risco e retorno de um ativo;
- Entender a teoria de carteira;
- Realizar o Apreçamento de ativo de capital; 
- Mensurar a gestão e performance de risco.

Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos.

Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados.

Bons estudos!","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""100131962""]","[""George Sales""]",BEGINNER,"Riscos Financeiros (Crédito, Mercado e Liquidez)","[""376""]",http://coursera-university-assets.s3.amazonaws.com/0c/51ef743af04ed4bbebb2c2756b642f/FIa_Horizontal_SVG_Verde-Escuro.png,"[""Fundação Instituto de Administração""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ae/4d8879a302454dbb3567d4ed4e6938/Curso-3-Riscos-Financeiros-Credito-Mercado-e-Liquidez-.jpg,"[""pt-BR""]","[""MkIMiHGjEeyKEA6Za5DszQ""]",riscos-financeiros-credito-mercado-e-liquidez,[],"4 semanas, de 4 a 5 horas por semana.",V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert"", ""Specialization""]",5AmFjcFXEfC0GBK-41okdw,v2.ondemand,"Master the fundamental building blocks of accurate financial record-keeping that every accounting professional needs. This course empowers you with essential double-entry bookkeeping knowledge to recognize normal account balances and execute precise month-end adjusting procedures using QuickBooks.

This Short Course was created to help accounting professionals accomplish reliable ledger maintenance and month-end closing procedures.

By completing this course, you'll be able to confidently identify whether major account categories carry debit or credit balances, calculate and record adjusting entries for accruals and prepaids, and ensure your general ledger remains balanced after posting transactions.

By the end of this course, you will be able to:
Recognize the normal debit or credit balance for major general ledger account categories.
Apply standard procedures to post month-end adjusting entries and balance the ledger.

This course is unique because it combines foundational accounting theory with hands-on QuickBooks practice, ensuring you develop both conceptual understanding and practical skills that translate directly to workplace success.

To be successful in this project, you should have a background in basic accounting concepts and access to QuickBooks.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""193200302""]","[""Hurix Digital""]",BEGINNER,Accounting: Balance Ledgers & Adjust Entries,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/25/fce7e0583e4bd9b18ea6067b7d417b/bookeepingcourse.png,"[""en""]","[""8Ul5YaYpSOeAlXQfPNV1wQ"", ""v8UjZrE1QH2dNGopCmPQvg""]",accounting-balance-ledgers--adjust-entries,[],137 minutes,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert"", ""Specialization""]",S0fYRP2nEe-ehwr_ziEUiw,v2.ondemand,"Artificial Intelligence (AI) is rapidly reshaping the financial services landscape. From fraud detection and algorithmic trading to customer service chatbots and credit scoring, AI is at the heart of a new era in finance. This course is designed to give you a clear, practical understanding of how AI works, what it enables, and how it’s transforming the way financial institutions operate.

Through real-world examples, case studies, and engaging learning activities, you’ll gain insights into the key technologies that make AI possible, including machine learning, deep learning, and natural language processing, and see how they are applied across core functions in banking, fintech, and asset management. You’ll also explore how data drives these systems, the different learning methods AI uses, and the implications for strategy, governance, and ethics.

Whether you’re a financial professional, policymaker, or simply curious about the future of finance, this course will equip you with the knowledge and confidence to engage in AI-related conversations and decision-making. No programming background is required, just an interest in how technology is shaping the future of financial services.

By the end of the course, you will be able to:

• Understand the foundational technologies that underpin Artificial Intelligence (AI), including Machine Learning, Natural Language Processing, and Deep Learning.
• Explore the central role of data in powering AI systems, and the key learning methods used to train them.
• Identify how AI is applied in financial services, including use cases such as fraud detection, credit scoring, customer service, and algorithmic trading.
• Critically evaluate the risks, limitations, and ethical challenges associated with deploying AI in financial services.

This course is the first in the AI in Financial Services: Foundations through Future Trends specialization. It provides the essential groundwork for understanding how AI works and why it matters in finance. After completing this course, we recommend continuing with 'Designing the Future of Finance' and 'Open Data and Intelligent Finance' courses to explore how AI intersects with Open Finance, embedded systems, and intelligent, ethical financial innovation.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""183325158""]","[""Martin Schmalz""]",BEGINNER,AI Fundamentals in Financial Services,"[""2335""]",http://coursera-university-assets.s3.amazonaws.com/0b/827a1583534c15bd47f6f3963a162e/CORP-0752-Coursera-200x48.png,"[""Saïd Business School, University of Oxford""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/eb/5eb1c7d5814fa3847ad2699d3d4461/martin.png,"[""en""]","[""SzNDeuhPR1OSr6d3keOxBg""]",ai-financial-services,[],"4 weeks of study, 3-4 hours per week",V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert""]",bKMhQGQxEe-e0g4kKcdYJQ,v2.ondemand,"This course covers essential aspects of plant design and process optimization, focusing on their impact on cost and efficiency. Learners will explore strategies to improve process efficiency, understand methods for budgeting and financial planning, and learn how process simulation can enhance plant models. The course also addresses project management principles crucial for successful plant projects and essential safety considerations to ensure the well-being of personnel and compliance with regulations. Designed for engineers, plant managers, and industry professionals, this course equips participants with the knowledge to apply theoretical concepts practically, modernizing operations and improving economic performance.

This course is designed for engineers, plant managers, and industry professionals who are eager to deepen their understanding of plant design and process optimization. It is ideal for individuals looking to improve their plant's economic performance and stay ahead of industry trends. Whether you're a newcomer to these concepts or an experienced professional seeking to refine your skills, this course provides practical knowledge and strategies that are relevant to modernizing and optimizing plant operations.

No prior knowledge or experience is required to participate in this course. It is suitable for beginners who are interested in learning about plant design and process optimization, as well as for professionals seeking to enhance their expertise. The course is structured to accommodate a range of experience levels, ensuring that all participants can effectively engage with and benefit from the material presented.

By the end of this course, you will be equipped to describe core plant design and optimization concepts, understanding the fundamental principles that drive plant efficiency and operational performance. You will be adept at assessing how these principles can be applied to enhance economic outcomes and improve real-world scenarios. Additionally, you will develop and implement strategies for optimizing plant operations, ensuring alignment with industry trends and economic goals. Finally, you will gain the ability to recognize and address common challenges in plant design and process optimization, effectively resolving issues to achieve superior plant performance.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""subdomainId"": ""finance"", ""domainId"": ""business""}]","[""137143809"", ""141793623""]","[""Jairo Sanchez"", ""Starweaver""]",BEGINNER,Plant Design & Economics,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/1d/a29b6d1a44445f96230aa3c4bc88c8/BATCH-6-1200X1200-1-.png,"[""en""]",[],plant-design-economics,[],1 Hour,V7XHo8qDp6TtFfRXd,xGZh7AgtN0FUsrv9T
[],"[""VerifiedCert"", ""Specialization""]",bsMe2X7KEfC2OhKwGgKtJw,v2.ondemand,"This course focuses on advanced DAX (Data Analysis Expressions) concepts and performance optimization techniques essential for Power BI developers. Participants will learn to write complex DAX formulas, create calculated columns and measures, and implement sophisticated business logic. The course emphasizes performance optimization methodologies and troubleshooting techniques to ensure reports are efficient and responsive. By leveraging tools like Performance Analyzer and DAX Studio, learners will diagnose and resolve common performance issues.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""56970540""]","["" Microsoft""]",INTERMEDIATE,Advanced DAX and Performance Optimization,"[""705""]",http://coursera-university-assets.s3.amazonaws.com/73/8792b24ae547c1a582c33f7ea4d569/Microsoft-logo_rgb_200x43.png,"[""Microsoft""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/30/db8775a20a4f6a9fdd3d3950451a5b/pexels-markusspiske-1089438.jpg,"[""en""]","[""24cZlm7hSsKME3VUMZHwGg""]",advanced-dax-and-performance-optimization,[],,93fHno7NUftheBq0s,yeyUKULSNTeE6geAe
[],"[""VerifiedCert"", ""Specialization""]",R1uIhdNQEe-wJQr_zK5V5w,v2.ondemand,"Updated in May 2025.
 
This course now features Coursera Coach!
 
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

Unlock the advanced capabilities of Oracle RMAN in this comprehensive course tailored for database administrators and IT professionals. This program equips you with the skills to efficiently manage Oracle databases through RMAN’s specialized features, covering database duplication, performance optimization, and integration with multitenant and RAC environments. Practical exercises and demonstrations ensure a hands-on learning experience to reinforce theoretical concepts.

The journey begins with exploring database duplication techniques using RMAN, covering various methods like active duplication and backup-based duplication, both with and without recovery catalog connections. As you advance, you'll delve into troubleshooting RMAN processes, interpreting diagnostics, and fine-tuning performance using techniques like asynchronous I/O and multiplexing.

The course then transitions to RMAN operations in Oracle multitenant and RAC environments. Learn to back up and recover Container Databases (CDBs) and Pluggable Databases (PDBs), manage complex recovery scenarios, and optimize RMAN usage in RAC setups. Conclude with a dive into Oracle Database Backup Cloud Service, from configuration to secure backup storage in the cloud.

This course is ideal for Oracle database administrators and IT professionals looking to elevate their expertise in RMAN. A basic understanding of Oracle databases and RMAN is recommended, with the content suited for intermediate-level learners seeking advanced techniques.","[{""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""158375127""]","[""Packt - Course Instructors""]",ADVANCED,Specialized RMAN Features and Advanced Use Cases,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2f/171bfeaea544b3a5b2d00773a2a7aa/V21869---Img.jpg,"[""en""]","[""CH1Rh5AJRDyWsL286aX_iw""]",packt-specialized-rman-features-and-advanced-use-cases-f2n1f,[],,93fHno7NUftheBq0s,yeyUKULSNTeE6geAe
[],"[""VerifiedCert""]",5ckqRLZmEe-JHhL4HU-TUQ,v2.ondemand,"Updated in May 2025.
 
This course now features Coursera Coach!
 
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

In this comprehensive course, you will gain a deep understanding of vector databases, their structure, and how they differ from traditional databases. By exploring fundamental concepts, including their benefits and real-world applications, you will be equipped with the knowledge needed to leverage these cutting-edge technologies in data management and AI.

The course begins with an introduction to vector databases, explaining why they have become essential in modern data management. You will discover their key advantages and how they address limitations found in traditional databases. Moving forward, the course dives into embeddings and vectors, key components in understanding the data flow within vector databases, and the importance of similarity searches.

Next, the course covers a hands-on section where you will work with the Chroma vector database. Through practical exercises, you will learn how to set up your development environment, create databases, query data, and manage embeddings with OpenAI APIs. Additionally, the course explores advanced topics like vector similarity measures, including cosine similarity, Euclidean distance, and dot product, as well as the integration of vector databases with large language models (LLM).

This course is ideal for developers, data scientists, and anyone keen on understanding the cutting-edge field of vector databases. A solid grasp of databases and basic programming knowledge will be beneficial for mastering the material.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""158375127""]","[""Packt - Course Instructors""]",INTERMEDIATE,Essential Concepts of Vector Databases,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/08/4988fe316d412dbd7448f874560603/V31735.jpg,"[""en""]",[],packt-essential-concepts-of-vector-databases-zj8v3,[],,93fHno7NUftheBq0s,yeyUKULSNTeE6geAe
[],"[""VerifiedCert"", ""Specialization""]",DOdVqvEgEfCFRg7t6P8RhQ,v2.ondemand,"Containerization is more than a deployment tool—it’s the backbone of reliable, scalable machine learning systems. In this intermediate-level course, you’ll learn how to package, deploy, and manage ML models using Docker and Kubernetes. You’ll start by exploring why containerization matters—how it ensures reproducibility and stability across environments. Then, you’ll move into orchestration, learning how Kubernetes automates deployment, scaling, and monitoring for real-world applications.

Through concise videos, guided readings, and a hands-on project, you’ll write a Dockerfile, publish your image to an internal registry, and deploy it to a cluster using a Kubernetes configuration file. You’ll also practice testing and reflecting on your deployment process to strengthen your operational mindset. By the end, you’ll be able to build, deploy, and manage containerized ML applications confidently—skills essential for engineers, data scientists, and anyone bringing AI models into production.","[{""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""200011885""]","[""ansrsource instructors""]",INTERMEDIATE,"Deploy, Manage, and Orchestrate Your Models","[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f5/5f6931e92b48d7b24b3584c1f8c1fd/Ayesha-Shaik.jpg,"[""en""]","[""T-JdxYmURwGA-E4B_pOorA"", ""qc5A0MktSUO2XMIlgL3KAQ""]",deploy-manage-and-orchestrate-your-models,[],,93fHno7NUftheBq0s,yeyUKULSNTeE6geAe
[],"[""VerifiedCert""]",HUyXSB6tEfGV9wr_z2Fh3w,v2.ondemand,"This course features Coursera Coach!
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

This comprehensive course on Lodash Essentials 2026—Practical Utility Library Guide will provide you with the tools to simplify JavaScript development using Lodash. By the end, you'll master key Lodash methods and advanced functions that optimize code efficiency and performance. You will work with arrays, objects, strings, and even custom methods, making your code cleaner and easier to maintain.

The course is divided into practical modules, each focusing on a specific Lodash functionality. You'll start with basic installation and basic methods before advancing to complex transformations like filtering, sorting, and grouping data. You will also be challenged with hands-on DIY projects that mimic real-world scenarios, solidifying your understanding of Lodash in practice.

This course is ideal for developers who want to optimize their JavaScript code using Lodash, from beginners to advanced learners.

By the end of the course, you'll be capable of implementing Lodash utilities in real-world projects.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""cloud-computing"", ""domainId"": ""information-technology""}]","[""158375127""]","[""Packt - Course Instructors""]",INTERMEDIATE,Lodash Essentials 2026 - Practical Utility Library Guide,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ab/34989c2a5944f6aca2c017a2696701/skill_image_square-5-.jpg,"[""en""]",[],packt-lodash-essentials-practical-utility-library-guide-pruem,[],,93fHno7NUftheBq0s,yeyUKULSNTeE6geAe
[],"[""VerifiedCert""]",fd3ZQRthEeqQJw6Wlm3hnw,v2.ondemand,"Welcome to this project-based course on Analyzing Box Office Data with Seaborn and Python. In this course, you will be working with the The Movie Database (TMDB) Box Office Prediction data set. The motion picture industry is raking in more revenue than ever with its expansive growth the world over. Can we build models to accurately predict movie revenue? Could the results from these models be used to further increase revenue? We try to answer these questions by way of exploratory data analysis (EDA) in this project and the next. The statistical data visualization libraries Seaborn and Plotly will be our workhorses to generate interactive, publication-quality graphs. By the end of this course, you will be able to produce data visualizations in Python with Seaborn, and apply graphical techniques used in exploratory data analysis (EDA).

This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed.

Notes:
-  You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want.
- This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""15528766""]","[""Snehan Kekre""]",INTERMEDIATE,Analyze Box Office Data with Seaborn and Python,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d7/5eaf08dea6482c87c280932051fd6e/plotly-seaborn-boxoffice1.png,"[""en""]",[],analyze-data-seaborn-python,[],2 hours,yZB6krHWXadGpaUDE,QxkNGpaRS2YhKbhTe
[],"[""VerifiedCert"", ""Specialization""]",AW_qutKPEeux6ApRYvYN1w,v2.ondemand,"This course is designed for business and data professional seeking to learn the first technical phase of the data science process known as Extract, Transform and Load or ETL.  

Learners will be taught how to collect data from multiple sources so it is available to be transformed and cleaned and then will dive into collected data sets to prepare and clean data so that it can later be loaded into its ultimate destination. In the conclusion of the course learners will load data into its ultimate destination so that it can be analyzed and modeled. 

The typical student in this course will have experience working with data and aptitude with computer programming.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""73411398"", ""19542214""]","[""Stacey McBrine"", ""Sarah Haq""]",INTERMEDIATE,"Extract, Transform, and Load Data","[""639""]",http://coursera-university-assets.s3.amazonaws.com/91/96f2dfbbcc45b38904fb62f560e483/Wide-Logo-for-Marketing.png,"[""CertNexus""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/37/c091932bf5418f8e788b670c68879d/CDSP-Specialization-Icon-2.png,"[""en""]","[""3UP06qzSEeupbwow02JDpQ""]",extract-transform-and-load-data,[],"3 weeks of study, 1–3 hours per week",yZB6krHWXadGpaUDE,QxkNGpaRS2YhKbhTe
[],"[""VerifiedCert"", ""Specialization""]",4EOwdnX9EeuG_xLe4EWIOw,v2.ondemand,"In this course, we’ll learn about more advanced machine learning methods that are used to tackle problems in the supply chain. We’ll start with an overview of the different ML paradigms (regression/classification) and where the latest models fit into these breakdowns. Then, we’ll dive deeper into some of the specific techniques and use cases such as using neural networks to predict product demand and random forests to classify products. An important part to using these models is understanding their assumptions and required preprocessing steps. We’ll end with a project incorporating advanced techniques with an image classification problem to find faulty products coming out of a machine.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""187597289""]","[""LearnQuest Network""]",INTERMEDIATE,Advanced AI Techniques for the Supply Chain,"[""527""]",http://coursera-university-assets.s3.amazonaws.com/ae/99864058c04a11a6b3fec071f69cc6/logo.png,"[""LearnQuest""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c6/646fa8e587448b915814e936bd9367/noun_Deep-Learning_1705448.png,"[""en""]","[""PJwF9sGjEeuhxRKihE5spQ""]",advanced-ai-techniques-for-the-supply-chain,[],"3 weeks of study, 3-5 hours per week",yZB6krHWXadGpaUDE,QxkNGpaRS2YhKbhTe
[],"[""VerifiedCert""]",VUftr4VqEfCCSg698sr4dw,v2.ondemand,"Build a strong foundation in machine learning, deep learning, and TensorFlow through a structured, hands-on learning experience that takes you from core concepts to practical model development. In this course, you will learn how machine learning works, explore real-world applications across industries, and set up a professional Python development environment using Jupyter Notebook, Anaconda, and essential data science libraries.

As you progress, you will develop practical skills in data wrangling with Pandas, numerical computing with NumPy, and data visualization using Matplotlib and Seaborn. You will also learn how to preprocess datasets, engineer features, and build classical machine learning models with Scikit-learn before advancing to deep learning with TensorFlow. Through hands-on exercises and real-world datasets, you will train, optimize, and evaluate regression models and neural networks, including image classification with the MNIST dataset.

Designed for beginners entering machine learning as well as professionals looking to strengthen their TensorFlow knowledge, this course combines clear explanations with coding practice, case studies, and assessments that reinforce every stage of the machine learning workflow. By the end of the course, you will be able to confidently preprocess data, build and evaluate machine learning and deep learning models, visualize insights, and apply industry-standard tools to solve real-world problems.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""136048342""]","[""EDUCBA""]",,Master Machine Learning with TensorFlow: Basics to Advanced,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/92/cc564c0ad04c18998e1ee0b4dd1d38/282.1.jpg,"[""en""]",[],master-machine-learning-tensorflow-basics-advanced,[],,yZB6krHWXadGpaUDE,QxkNGpaRS2YhKbhTe
[],"[""VerifiedCert""]",-E90oR-vEfCjJgr_y779sQ,v2.ondemand,"Welcome to this course on applied natural language processing in engineering. This course is designed to provide you with an in-depth understanding of NLP, a pivotal area of artificial intelligence that empowers computers to comprehend, interpret, and generate human language. Throughout this course, you will explore a wide range of topics, from fundamental NLP tasks like text classification and Named Entity Recognition (NER) to advanced techniques in neural machine translation and optimization methods critical for machine learning. We will delve into the complexities of teaching language to machines, addressing challenges like ambiguity, grammar, and cultural nuances. By the end of this part 1 course, you will have a foundational understanding of how modern NLP systems work - particularly those involving machine learning and deep learning. These topics will equip you to build, analyze and improve NLP systems across many applications.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""162569871""]","[""Ramin Mohammadi""]",,Applied Natural Language Processing in Engineering Part 1,"[""517""]",http://coursera-university-assets.s3.amazonaws.com/5b/34d2acc0544ec39e8798c54cfaf34c/Monogram-Wordmark_RGB_186-K_courseracropped.png,"[""Northeastern University ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2f/8bd1bc763448febbe0963c03201706/LogoImageCOE-1.png,"[""en""]",[],applied-natural-language-processing-in-engineering-part-1,[],,yZB6krHWXadGpaUDE,QxkNGpaRS2YhKbhTe
[],"[""VerifiedCert""]",eszfwRgoEe-ufw7mfnZipw,v2.ondemand,"Did you know you can automate R scripts to facilitate model deployment and enhance workflow efficiency in healthcare analytics? 

This Guided Project is designed for data scientists, healthcare analysts, and professionals in healthcare technology who want to harness the power of automation in R.  In this 2-hour project-based course, you will learn how to deploy a machine learning model using R programming language and GitHub Actions, enabling seamless integration and automation of predictive tasks. To support the model deployment, you will also automate access to data in Google Sheets and send automated emails through a Google Service Account. 

To achieve this, you will use a readmission model, write an R script for prediction, configure Google Sheets, Gmail, and GitHub Actions for automation, and deliver actionable insights for healthcare providers. This project is unique because it combines technical skills with real-world applications, preparing you to tackle complex challenges in data analytics.

Prior knowledge in R programming, including data manipulation (using the dplyr and tidyr packages), programming concepts (functions and control structures), GitHub repositories for code management, and basic command line use is recommended to maximize your learning experience.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}]","[""40353561""]","[""Arimoro Olayinka Imisioluwa""]",INTERMEDIATE,Automate R scripts with GitHub Actions: Deploy a model,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ab/5d5acbcf7c4c599ee7941344551d42/coursera-logo.jpg,"[""en""]",[],automate-r-scripts-with-github-actions-deploy-a-model,[],2 hours,yZB6krHWXadGpaUDE,QxkNGpaRS2YhKbhTe
[],"[""VerifiedCert"", ""Specialization""]",CEXjYhkoEfGNCQ7sHipDIw,v2.ondemand,"This course teaches you the essential skills required to process and prepare data, model, and evaluate machine learning models. Data processing is a fundamental step in extracting valuable insights from raw data and is crucial in professional data science and machine learning careers.

By mastering these techniques, you will enhance your ability to prepare and clean data, build effective machine learning models, and evaluate their performance. These skills are vital for ensuring that your models are accurate, reliable, and ready for deployment in real-world scenarios.

The course bridges theory with real-world applications by combining hands-on data processing exercises with machine learning techniques. This approach ensures learners not only understand theoretical concepts but also apply them effectively in practical situations.

This course is ideal for aspiring data scientists, machine learning engineers, and professionals looking to strengthen their modeling and evaluation skills. A basic understanding of data science concepts will help, though no advanced experience is required.

This course is part two of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

From CompTIA DataX Study Guide Copyright © 2024 by John Wiley & Sons, Inc. All rights, including for text and data mining, AI training, and similar technologies, are reserved. Used by arrangement with John Wiley & Sons, Inc.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""205323684""]","[""Wiley Skills Network""]",INTERMEDIATE,"Data Processing, Machine Learning, and Model Evaluation","[""4357""]",http://coursera-university-assets.s3.amazonaws.com/be/8b133d3a37459386cbb52dc93d808d/Wiley_Wordmark_black_RGB.png,"[""John Wiley & Sons""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8d/c3b7ee47bf4719b3774fcd7b6a636d/9781806116119_-2_square.jpg,"[""en""]","[""UjTKnBCPRfaCwvmFxrvp5w""]",wiley-data-processing-machine-learning-and-model-evaluation,[],,yZB6krHWXadGpaUDE,QxkNGpaRS2YhKbhTe
[],"[""VerifiedCert"", ""Specialization""]",JuyVc7oPEfCh_g7IcfE8GQ,v2.ondemand,"This course dives into how AI-powered decision systems are designed, modeled, and governed. Built for professionals who turn analytics into real business impact, it guides you through engineering intelligent decision workflows from end to end.

You’ll kick off by transforming business challenges into structured decision models designing fast, intuitive data flows and building ethical, human-aware processes that make every choice sharper, clearer, and more confident.

Next, you’ll turn raw data into intelligence using forecasting, optimization, and scenario simulations that reveal hidden patterns, anticipate outcomes, and fuel high-impact decisions that propel the business forward.

Finally, you’ll elevate trust across your pipelines with explainable AI, dynamic dashboards, and responsible governance, ensuring every decision is transparent, fair, and reliable enough to inspire confidence at every level.

By the end of this course, you will be able to:

- Analyze business challenges and define structured, data-driven decision problems.
- Design scalable, real-time data pipelines that power decision intelligence.
- Build predictive and prescriptive models for forecasting and optimization.
- Evaluate decision system performance through interactive dashboards.
- Apply responsible AI principles to ensure fairness, transparency, and accountability.

This course is ideal for data professionals, business analysts, AI engineers, and decision scientists seeking to turn analytics into high-value decisions. Prior experience in data analytics or machine learning will help deepen your learning.

Join this course to master intelligent, transparent, and responsible decision system design and learn how to unlock stronger business performance through data-driven intelligence.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""136285326""]","[""Edureka""]",INTERMEDIATE,Building and Optimizing Decision Systems,"[""1504""]",http://coursera-university-assets.s3.amazonaws.com/f7/2ebf8f1160497eba54141ca7951ff0/Wide-Logo-for-Marketing-Purposes.png,"[""Edureka""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/34/957cfc0e5743d2a4efc3afe7ee4134/AI-Powered-Decision-Intelligence-100-2-.jpg,"[""en""]","[""rsUiffFWSg2Xpt-ieIYR8g""]",building-and-optimizing-decision-systems,[],"3 weeks of study, 3 - 4 hours/week",yZB6krHWXadGpaUDE,QxkNGpaRS2YhKbhTe
[],"[""VerifiedCert"", ""Specialization""]",FSwP8MtlEfCdRxI8njT0XQ,v2.ondemand,"""Docker and Model Serving: Deploy ML APIs with FastAPI and ONNX is designed for ML engineers, MLOps practitioners, and backend developers who want to take models from notebooks to production. You'll learn to build Docker containers for ML workloads, design scalable REST APIs with FastAPI, serialize models with ONNX and SavedModel, and deploy with zero-downtime strategies like blue-green and canary releases.

The first module covers Docker fundamentals, image optimization, multi-stage builds, secrets management, and Docker Compose for multi-container ML apps.

The second module focuses on REST API design with FastAPI, model versioning, input validation with Pydantic, structured logging, and production-grade error handling.

The third module teaches scaling strategies — horizontal scaling, async queues, load balancing, batch vs. real-time inference, and latency optimization for high-throughput serving.

The final module covers model serialization formats (ONNX, pickle, SavedModel), blue-green and canary deployments, automated rollback, and disaster recovery.

By the end of this course, you will:

- Build and optimize Docker images for ML models using multi-stage builds and Compose
- Design scalable FastAPI endpoints with versioning, validation, and observability
- Scale ML inference with async queues, load balancing, and latency optimization
- Deploy models with ONNX serialization and zero-downtime blue-green rollbacks""","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""128073001""]","[""Board Infinity""]",INTERMEDIATE,"Model Serving Systems: Containers, APIs & Scalability","[""1401""]",http://coursera-university-assets.s3.amazonaws.com/9c/33258d6efd440aa6a523829de9a182/BI-svg.png,"[""Board Infinity ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c3/b344d3168042389315214192cccb04/Containers-and-Model-Serving.png,"[""en""]","[""3pJV783xQOa19JG6K4OczA""]",model-serving-systems-containers-apis-and-scalability,[],"4 weeks of study, 4 hours/week",yZB6krHWXadGpaUDE,QxkNGpaRS2YhKbhTe
[],"[""VerifiedCert""]",PpvihGt-EfCZGgr_9NheMw,v2.ondemand,"Unlock the power of K-Means clustering and discover how to analyze unlabeled data using R programming. In this hands-on course, you will build a strong foundation in unsupervised machine learning by learning how to prepare data, apply clustering techniques, and interpret meaningful segmentation results.

Designed for learners with a basic understanding of R and statistics, this course guides you through the complete clustering workflow using a real-world customer segmentation project. You will explore core clustering concepts, understand the goals of unsupervised learning, implement the K-Means algorithm in R, and examine how feature scaling influences cluster quality and performance.

By the end of the course, you will be able to construct clustering workflows, evaluate clustering effectiveness, analyze segmentation outcomes, and recommend data-driven grouping strategies for real-world datasets. The project-based approach combines conceptual understanding with practical implementation, helping you develop confidence in applying K-Means clustering to customer segmentation and other unlabeled data problems.

Whether you want to strengthen your data analysis skills or gain practical experience with clustering in R, this course provides a focused introduction to one of the most widely used unsupervised machine learning techniques.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""136048342""]","[""EDUCBA""]",INTERMEDIATE,R: Apply & Analyze K-Means Clustering for Unsupervised ML,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/44/f8d6b0e2124601be53be8f3689b16d/179.1.png,"[""en""]",[],r-apply-analyze-k-means-clustering-unsupervised-ml,[],,yZB6krHWXadGpaUDE,QxkNGpaRS2YhKbhTe
[],"[""VerifiedCert"", ""Specialization""]",9YqxqpCGEfCNOA4OvopBdw,v2.ondemand,"By the end of this course, learners will be able to build, evaluate, and optimize machine learning models using Python. They will develop the ability to preprocess data with NumPy and Pandas, visualize insights using Matplotlib, and implement workflows with scikit-learn pipelines. Learners will apply regression, classification, clustering, and dimensionality reduction techniques to real-world datasets, while mastering hyperparameter tuning for improved model performance.

This course is designed to bridge theory with practice, offering hands-on experience in every stage of the machine learning lifecycle—from data collection and preparation to model deployment. Unlike traditional courses, it emphasizes practical coding exercises and end-to-end project workflows, ensuring that learners gain both conceptual clarity and applied skills.

Upon completion, learners will be equipped with the essential tools and confidence to tackle data-driven problems, analyze large datasets, and create scalable machine learning solutions. Whether pursuing a career in data science or enhancing analytical skills, this course provides a comprehensive pathway into applied machine learning with Python.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""136048342""]","[""EDUCBA""]",,Machine Learning with Python: Build & Optimize,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6e/2be073ac3e47f8ae6220e715c3b1b7/477.1.jpg,"[""en""]","[""aZ7pg8EcTlGwyzA1i6vtXQ""]",machine-learning-python-build-optimize,[],,yZB6krHWXadGpaUDE,QxkNGpaRS2YhKbhTe
[],"[""VerifiedCert"", ""Specialization""]",LwJpj_FFEfCkURJ26JwNHQ,v2.ondemand,"Vector Databases for Machine Learning: A Comprehensive Guide - Integrate Embeddings and Chroma is an intermediate-level course designed for machine learning engineers and AI practitioners aiming to build robust, automated data ingestion pipelines. In modern AI applications, the success of vector search hinges on the seamless integration of embedding models with a vector database. This course provides the critical, hands-on skills to master that integration using ChromaDB.

You will move beyond theory to implement and troubleshoot a full vectorization pipeline. Through expert-led screencasts and hands-on labs, you will learn to connect both API-based (like OpenAI) and open-source (like HuggingFace) embedding models to ChromaDB, enabling automatic vectorization on data upload. The curriculum is built around real-world failure scenarios, teaching you to systematically diagnose and resolve common but critical errors, such as vector dimension mismatches and data encoding issues. By the end of this course, you won't just build a pipeline; you'll be able to ensure its reliability, a crucial skill for deploying production-grade machine learning systems.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""199677978""]","[""LearningMate""]",INTERMEDIATE,Integrate Embeddings and Chroma,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/98/47ce1475614baeba8fce580d67041c/CON-04106_img_courselogo.png,"[""en""]","[""AU90stUWTHWLRg3Dj1B0HA""]",integrate-embeddings--chroma,[],90 minutes,yZB6krHWXadGpaUDE,QxkNGpaRS2YhKbhTe
[],"[""VerifiedCert"", ""Specialization""]",Uu9Q4h06EfGtGQr_xacGaQ,v2.ondemand,"This course provides a deep dive into reinforcement learning (RL) with a focus on practical applications using PyTorch. You'll explore core concepts like the OpenAI Gym API, deep Q-networks, and advanced RL libraries. As RL becomes increasingly important in fields like AI, robotics, and gaming, mastering this skill will help you stay ahead in the rapidly evolving tech industry.

Through hands-on projects and real-world scenarios, you'll enhance your problem-solving abilities and gain practical expertise in building RL models. The course covers a wide range of topics, from tabular learning and the Bellman equation to complex deep Q-networks, ensuring that you develop both foundational and advanced RL skills.

What sets this course apart is its blend of theoretical knowledge with practical coding exercises. You'll learn how to implement RL algorithms using PyTorch while understanding the underlying math and principles, providing a well-rounded approach to mastering reinforcement learning.

This course is perfect for professionals and students with a background in machine learning or Python programming. Prior knowledge of deep learning or neural networks will be helpful but not required to start.

This course is part one of a three-course Specialization designed to provide a comprehensive learning pathway in Reinforcement Learning. While it delivers standalone value, learners seeking an in-depth progression may benefit from completing the full Specialization.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""158375127""]","[""Packt - Course Instructors""]",INTERMEDIATE,Foundations of Deep Reinforcement Learning with PyTorch,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fb/ab49389ffa4f378c790d25af58629f/9781835882702_-1_square.jpg,"[""en""]","[""YeceSQeGQAqi8WQamEp11g""]",packt-foundations-deep-reinforcement-learning-pytorch,[],,yZB6krHWXadGpaUDE,QxkNGpaRS2YhKbhTe
[],"[""VerifiedCert""]",92ZkI2ktEeyQuAqyaULE4w,v2.ondemand,"Gradient-weighted Class Activation Mapping (Grad-CAM), uses the class-specific gradient information flowing into the final convolutional layer of a CNN to produce a coarse localization map of the important regions in the image. In this 2-hour long project-based course, you will implement GradCAM on simple classification dataset. You will write a custom dataset class for Image-Classification dataset. Thereafter, you will create custom CNN architecture. Moreover, you are going to create train function and evaluator function which will be helpful to write the training loop. After, saving the best model, you will write GradCAM function which return the heatmap of localization map of a given class. Lastly, you plot the heatmap which the given input image.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""42281109""]","[""Parth Dhameliya""]",INTERMEDIATE,Deep Learning with PyTorch : GradCAM,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/42/d576eebd0e4db9a0898f65c512c6db/gradcam-pic.png,"[""en""]",[],deep-learning-with-pytorch-gradcam,[],2 hours,yZB6krHWXadGpaUDE,QxkNGpaRS2YhKbhTe
[],"[""VerifiedCert""]",_tUlSri4EfC1rQ5diDiykw,v2.ondemand,"Enhance Marketing with AI: Tools for Optimal Campaigns is an intermediate-level course designed for marketing professionals ready to harness artificial intelligence for transformative campaign results. In today's data-driven marketing landscape, AI tools are no longer optional—they're essential for competitive advantage. This course equips you with practical skills to implement AI agents for automation, master prompt engineering for brand-aligned content creation, and integrate analytics tools for comprehensive performance tracking. Through real-world case studies from Nike, Coca-Cola, and IBM Watson, you'll learn to transform manual marketing processes into intelligent, data-driven workflows. The course combines strategic frameworks with hands-on applications, enabling you to immediately apply AI tools to your marketing challenges. By completion, you'll have the knowledge to design AI-powered campaigns that save time, improve targeting, and deliver measurable business results. Whether you're optimizing social media strategies, creating compelling content, or analyzing customer journeys, this course provides the AI marketing foundation you need to lead in the digital age.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""193200302""]","[""Hurix Digital""]",INTERMEDIATE,Agentic AI Content for Practitioners: Marketing,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6b/4216a2688c467d9955952f2537fe6f/Logo-Image-1200-X-1200.png,"[""en""]",[],agentic-ai-content-for-practitioners-teams-marketing,[],30 mins/week,yZB6krHWXadGpaUDE,QxkNGpaRS2YhKbhTe
[],"[""VerifiedCert""]",lfKT5sS3EeWhPQ55lNYVVQ,v2.ondemand,"Each part of the world faces specific vulnerabilities to climate change and has different opportunities to mitigate the effects and build resilience in the 21st century. With the ratification of the Paris Agreement, many countries have acceded to act in combatting climate change. Indeed, without climate action, decades of sustainable development is at risk, thus making this a ‘make or break’ point in time. Showcasing the most recent scientific evidence, explaining the different regional impacts and divulging climate action strategies, along with interactive tools such as a Carbon Footprint Tracker and (I) NDC Platform, this MOOC provides some opportunities, where you can take action on climate change.

About the Course

This action-oriented MOOC gives you the opportunity to learn about regional climate change impacts and sector-specific strategies to increase resilience and move towards a low-carbon future. You will have the opportunity to explore these issues in depth and tailor your learning experience for one or more of the following regions:

•  Latin America and Caribbean
•  Sub-Saharan Africa
•  Middle East and North Africa
•  Eastern Europe and Central Asia
•  East Asia and Pacific
•  South Asia

 In this endeavor, the MOOC brings together renowned scientists and policymakers to provide a synthesis of the most recent scientific evidence on climate change, regional low emissions and climate resilient development strategies across sectors. A team of expert Instructors will lead discussions around the Paris Agreement, reflections from COP22 and the progress on Nationally Determined Contributions (NDCs).

Course Syllabus

Overview 

‘From Climate Science to Action’ is divided into four weeks. The first two weeks will provide a comprehensive overview of the scientific evidence for climate change, followed by region-specific insights on the impacts of a warmer world in the 21st century. The last two weeks will focus on action strategies that are being undertaken in different regions and countries to meet the climate challenge, and how you as an individual can take action to avoid a warmer world!

Week 1:  Climate Change in the 21st Century

•  Historical and projected observed changes in the climate system, leading up to the end of the 21st century
•  The potential of Intended Nationally Determined Contributions (INDCs) submitted at COP 21 from 187 countries to induce climate action
•  Trends in climate change impacts, including loss of Arctic sea ice, melting glaciers, increased heat waves and extreme temperatures, and drought and aridity 
•  Possible responses from natural systems, explaining how warming could result in sea-level rise, heat waves and extreme temperatures, and ocean acidification

Week 2: Sectoral and Regional Impacts

•  Impacts on key development sectors—from warming above pre-industrial temperatures and projected climate trends—across each of the world’s regions
•  Sectoral impacts focusing on agricultural production, water resources, ecosystem services, and coastal vulnerability for affected populations 
•  Importance of risks with the potential to reverse hard-won development gains and potentially trap millions in poverty, illustrating the need for urgent action now

Week 3: From Science to Action on Climate Change

•  Region-specific discussions on mitigation actions needed to reduce emissions while decreasing vulnerability to climate change impacts through adaptation and by building climate resilience
•  Perspectives from regional experts on their experiences in strategies and actions proposed in each region to help transition towards a low-emissions, climate-resilient development path 
•  Discussions on the progress of the Nationally Determined Contributions (NDCs), outcomes of the Paris Agreement and reflections from the Conference of Parties (COP)22

Week 4: What You Can Do

•  Transformative impact of day-to-day changes when brought to a global scale
•  The rationale for acting now, acting together and acting differently
•  Examples and expected benefits of mitigation and adaptation policies, considering both contributions to global emission reductions and local development opportunities

In addition to the core resources and assignments, you may choose to go further, engaging in fun optional exercises, networking, discussion, and diving deeper into our rich selection of supplemental resources. You will have the opportunity to explore these issues in depth and tailor your learning experience for one or more of the following regions:

•  Latin America and Caribbean
•  Sub-Saharan Africa
•  Middle East and North Africa
•  Eastern Europe and Central Asia
•  East Asia and Pacific
•  South Asia

Course Format

This MOOC has a week-by-week structure, with resources, activities and exercises for you to engage in during each of the four weeks of the course. Each week, you will find a variety of course material, including: 

•  Interactive video talks by renowned climate scientists and practitioners 
•  Interactive tools: the Carbon Footprint Tracker, (I) NDC platform
•  Resources: Core, optional (deep dive) and fun interactives on the week’s theme
•  Quizzes that check your knowledge, reinforce the lesson’s material and provide immediate feedback
•  Assignments that will sharpen your skills of analysis, reflection and communication
•  Discussion forums and social media that enable collaboration with others from around the world, enriching interaction among participants
•  As a final project, you will create a digital artifact 

You can also go much further than this, engaging in optional exercises, networking, or discussion forums and dive deeper into our rich selection of additional resources. We also will use e-discussions, and other tools to facilitate dialogue between the learners and experts.

Recommended Background: No background knowledge is necessary. The content of this course is designed to be accessible to students from any discipline.

Connect: Communicate and share resources via Twitter using hashtag #learnclimate. Sign up for a free account at http://twitter.com","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""6407572"", ""24332407""]","[""Alan S. Miller "", ""Claudia Barrera""]",BEGINNER,From Climate Science to Action,"[""73""]",https://coursera-university-assets.s3.amazonaws.com/d2/6d6290061611e6bd6d63bd80d6a3ea/Logo_olc2.png,"[""The World Bank Group""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/67/c10500070611e6941927c8e059fa72/mam.jpg,"[""en""]",[],climate-science,[],,2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],[],gpAI9GK4EeWFkQ7sUCFGVQ,v2.ondemand,"Have you come across large piles of garbage in neighbourhoods and streets and smelly waste disposal sites polluting the environment of low- and middle-income countries? Do you want to know what kind of sustainable solutions are appropriate to better manage waste and enhance recycling and recovery? If yes, this course is for you! 

This course provides you with an overview of the municipal solid waste management situation in low- and middle-income countries. It covers key elements of the waste management system, such as its technical, environmental, social, financial and institutional aspects. Besides understanding the challenges, you will be introduced to appropriate and already applied solutions through selected case studies.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""2387594""]","[""Dr. Christian Zurbrügg ""]",INTERMEDIATE,Municipal Solid Waste Management in Developing Countries,"[""16""]",https://d396qusza40orc.cloudfront.net/phoenixassets/msmw/logo-epfl-eawag-squareWhite.jpg,"[""École Polytechnique Fédérale de Lausanne""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b7/fc7bf062b811e5b931053ae1fc052b/_MOOC-LOGO-Waste-management-2560x1440px-150dpi2.jpg,"[""en""]",[],solid-waste-management,[],"5 weeks of study, 4-6 hours/week",2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert"", ""Specialization""]",yO13mkySEeW_MgoxMAgbMQ,v2.ondemand,"How can we shape our urban development towards sustainable and prosperous futures?

This course explores sustainable cities as engines for greening the economy in Europe and around the world. We place cities in the context of sustainable urban transformation and climate change. We connect the key trends of urbanization, decarbonisation and sustainability. We examine how visions, experiments and innovations can transform urban areas. And we look at practices (what is happening in cities at present) and opportunities (what are the possibilities for cities going forwards into the future).

This course was launched in January 2016, and it was updated in September 2021 with new podcasts, films and publications. The course is produced by Lund University in cooperation with WWF and ICLEI – Local Governments for Sustainability who work with creating sustainable cities. The course features researchers, practitioners and entrepreneurs from a range organisations.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""6931825"", ""7964300"", ""15622422"", ""15664691""]","[""Kes McCormick"", ""Prof.  Lena Neij"", ""Prof. James Evans"", ""Prof. Harriet Bulkeley""]",BEGINNER,Greening the Economy: Sustainable Cities,"[""199""]",https://coursera-university-assets.s3.amazonaws.com/54/43e1b0e0c911e39231a7b0cea70fdd/Lund_university_L_RGB.png,"[""Lund University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e8/904b28a7ca4315b625a59c76acbb08/SC-2019-cropped.png,"[""en""]","[""5DwS9oPJEeypjAo-aS--Gw""]",gte-sustainable-cities,[],"5 weeks of study, 5 hours/week.",2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],[],ow2sS91aEeyZ0gqYTIpn5w,v2.ondemand,"User experience is a highly in-demand field which requires a holistic understanding of the design process. This course is a ""sample"" of the UX Design MasterTrack certificate program. You will have the opportunities to explore core topics in UX including Ethics and Research, User Research, User Testing, and Visual Literacy as four modules.

You can take the opportunity to gain some basic understanding of UX research, and take this course as a pathway to the  UX Design MasterTrack certificate program. The assignments you have accomplished in this open course can be carried over to the UX Mastertrack certificate program. 

If you would like to continue learning after this open course, please visit our UX Design MasterTrack certificate program website: https://www.coursera.org/mastertrack/ux-design-minnesota","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""23208529"", ""4778304"", ""31718801""]","[""Debra Lawton"", ""Frances Trice""]",BEGINNER,Introduction to UX Design MasterTrack Certificate Program,"[""50""]",https://coursera-university-assets.s3.amazonaws.com/2e/0cd5e2383ba389999647887f51de4c/UofMD2D200x48transp.png,"[""University of Minnesota""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c1/f017aba89c47b286bf3431ef1503cd/Screen-Shot-2022-12-20-at-23.16.36.png,"[""en""]",[],ux-design-open-content-shell,[],,2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert"", ""Specialization""]",uYiyP_X1Ee6b_Ar_9IRNEQ,v2.ondemand,"This course is designed to help you take the next step in your academic journey by mastering two critical skills: professional communication and strategic planning for research involvement. You’ll begin by learning how to write clear, respectful, and persuasive emails that encourage timely responses—an essential skill for connecting with professors and securing opportunities. Next, you’ll explore strategies for resilience and problem-solving when facing challenges such as unanswered messages or rejection. Finally, you’ll move from preparation to action by creating a personalized research plan, identifying your resources, and setting a realistic timeline to stay motivated. By the end of this course, you’ll have the confidence and tools to communicate effectively and turn your research goals into reality.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""152293917""]","[""Angelique Louie""]",INTERMEDIATE,How to Write Emails and Engage Professors,"[""83""]",http://coursera-university-assets.s3.amazonaws.com/c1/52e2b552e74c8d9455c00137787477/UCD-logo-200x48px.png,"[""University of California, Davis""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a1/b2b6d90cf44544912cb4d5e579f987/Course-4_GettyImages-1257897042.jpg,"[""en""]","[""iMc1rWBuS0GZyOQG1Bpnog""]",how-to-write-emails-and-engage-professors,[],"3 modules of study, 2-3 hours/module",2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],[],0jk2ODDsEeiGpQoF2nM0eA,v2.ondemand,"In this course we aim to provide you with an insight into how recent societal and technological developments have changed the work of professionals in a variety of professional domains and how this in turn affects professionalism. The course highlights core themes, discusses main insights and theories, raises questions and presents cases, and links insights to practical challenges in various professional domains. It provides a state of the art assessment of professionalism in transition, by looking back and looking forward. It supports target audiences in dealing with professional services and professionals.  

The programme has an interdisciplinary approach and will focus on different levels:
At macro level the course presents a historical and sociological view on past and future changes in professions, focused on: 
•	how do professional fields develop?
•	how is professionalism promoted and encouraged among professionals?
•	how do professional fields control and empower their members?

At meso level the course presents an organisational view on changes within professional partnerships and institutions, focused on the following questions:
•	how do norms and routines affect professionals and professional work?
•	how do professionals organise and lead professional work?

At micro level a psychological perspective on changing work and a changing work environment of professionals is presented. This part focuses on the following questions:
•	how do professionals deal with work pressure and remain motivated?
•	which competencies do professionals require to be able and capable to deliver?

We invite you to join us and increase your understanding of the topics addressed in this course through lectures, interviews, animations, readings and peer interaction.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""26840344""]","[""Nicole Mastenbroek""]",INTERMEDIATE,Professionalism in an era of change,"[""270""]",http://coursera-university-assets.s3.amazonaws.com/9e/58ee89234b403788878f566607875c/2_UU_logo_EN_200x48px_V2-01.png,"[""Utrecht University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/82/8eca90332611e8af6dcf451148b434/pplogosample.jpg,"[""en""]",[],professionalism-in-an-era-of-change,[],"6 weeks of study, 3-4 hours/week",2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert"", ""Specialization""]",16gG3o7XEe6BxA4cC7Ljfw,v2.ondemand,"This course is the third course in a series on the discipline of Archaeology. It is intended for learners at all stages, including advanced high school, college students, or life-long learners. Basic information about Archaeology and its history are presented in the first introductory course. The second course teaches common scientific methods used in archaeological research. This course focuses on forms of interpretation to reconstruct various aspects of the past through archaeological approaches. The final course covers contemporary social issues that archaeologists engage with.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""92822090""]","[""Molly Morgan""]",BEGINNER,Introduction to Archaeology: Reconstruction of The Past,"[""13""]",http://coursera-university-assets.s3.amazonaws.com/f5/f983fc330847ecae8a5b6f93162c1b/Rice-Logo_Updated_Cropped_200x48.png,"[""Rice University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c5/011dc978ff4fc0a4659e7e173fb4d5/Coursera-3---Logo-Image---1200x200.jpg,"[""en""]","[""g0Fltdi8RTO5Uuoj3Pq7Pg""]",knowing-the-past-archaeology-as-reconstruction-of-the-past,[],"7 weeks of study, 5-10 hours per week",2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert""]",YXDFz6KXEeWM5RIHOLu8Dw,v2.ondemand,"This course will highlight the construction and interpretation of the U.S. Constitution through the centuries. You'll learn the history behind the Constitution, cases that formed important precedent, and how changes in interpretation have been dependent on shifts in cultural and political climate as well as the composition of the Supreme Court.

We'll start with an overview of the Constitution where we'll consider questions such as ""Why the Constitution?"" and ""What function does the Constitution serve?"" Next we'll examine how the Constitution and its subsequent interpretation established the powers of the federal, legislative, and judicial branches of government and allocated powers to the states.

Join me as we look at the questions both raised and answered by the Constitution and those that interpret it!

By the end of this course, you should be able to:

- Describe how the structure of the United States government has been shaped by both the text of the Constitution and by subsequent interpretation and practice of political actors in all branches of government

- Illustrate compromises found in the Constitution by citing examples and historic background

- Articulate the importance of key cases such as Marbury v. Madison, McCullough v. Maryland, and Lochner v. New York

- Explain how the outcome of cases is often dependent upon the current cultural and political climate as well as the composition of the court by citing particular cases and important shifts in the court's jurisprudence

- Assess the relative suitability of various approaches to constitutional interpretation and analysis","[{""subdomainId"": ""law"", ""domainId"": ""social-sciences""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""18597416""]","[""Erwin Chemerinsky""]",BEGINNER,Chemerinsky on Constitutional Law - The Structure of Government,"[""30""]",http://coursera-university-assets.s3.amazonaws.com/a2/a076b6e7cf41488e851cefd5d6ecd1/UCIrvine-Blue-RGB-2024.png,"[""University of California, Irvine""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3e/fe4cb0b49811e5b7f4377491ebab0b/SquareLogo2.png,"[""en""]",[],chemerinsky-on-constitutional-law-structure-of-government,[],,2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],[],E7Ud-hSZEeql5Q6gbn1wnw,v2.ondemand,"Em tempos de instabilidade política, desequilíbrio ambiental e desigualdade social, jovens agentes de mudanças sociais estão liderando o caminho para solucionar os desafios da atualidade. O que você está fazendo para gerar mudanças positivas e sustentáveis? 

O programa Vozes da Mudança Social é um curso on-line, gratuito e de curta duração, elaborado e ministrado por oito jovens empreendedores. Siga os passos desses agentes de mudanças sociais que combinaram uma ideia ao desejo de ajudar outras pessoas a gerar impactos positivos na sociedade. Hoje, eles fazem a diferença na vida de muitos ao redor do mundo. 

Desenvolvido pela rede Laureate International Universities em parceria com a International Youth Foundation (IYF) e o B Lab, o programa Vozes da Mudança Social fornecerá a estrutura e uma rede de suporte para você dá o próximo passo. Seja apoiar sua comunidade local, iniciar um empreendimento social ou promover uma iniciativa já existente.

Aprenda com aqueles que tiveram vitórias e derrotas no empreendedorismo social, conecte-se com outros agentes de mudanças sociais que estão fazendo as mesmas perguntas que você e elabore o seu próprio plano de ação.

O curso é composto por cinco (5) módulos, que podem ser realizados ao longo de cinco (5) semanas. Cada módulo possui lições que contêm vídeos, leituras e atividades para o seu aprendizado.

Inscreva-se no programa Vozes da Mudança Social, desenvolva suas habilidades e prepare-se para criar mudanças sociais sistêmicas e duradouras. Sua jornada começa agora!","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""287547"", ""5537676"", ""45597538"", ""48074751"", ""49108996"", ""49429198"", ""14715481"", ""49709725"", ""49887189"", ""49940471""]","[""Nick Martin"", ""Geórgia Nunes"", ""DR Selene Martinez-Pacheco"", ""Joel Adriance"", ""Melanie Tran"", ""Rafael Henrique"", ""Daniela Andrea Retamales Gomez"", ""Carolina Zuheill Rosales"", ""Dina Buchbinder Auron"", ""Dr William Schulz""]",BEGINNER,Vozes da Mudança Social,"[""137""]",http://coursera-university-assets.s3.amazonaws.com/14/70c74043a74dc5a4453d138d8a86c4/200x48.png,"[""Universidad Peruana de Ciencias Aplicadas""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/89/d3803a94364eeeb5fc19423d9bfa60/MOOC-OCo-Coursera-Images-PT--01.png,"[""pt-BR""]",[],vozes-da-mudanca-social,[]," 5 semanas de estudo, 1-2 horas por semana.",2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert""]",funIV-vwEeqAUQ6akpjdKQ,v2.ondemand,"By the end of this project, you will be ready to use Edpuzzle to make video learning content more interactive to improve student learning. Technology plays an ever-increasing role in education, both in the classroom and when moving to online learning. With Edpuzzle, you will begin with videos they have created or found on YouTube, Khan Academy, and other websites. You can then adjust the length, add your own narration, and add comprehension checks to ensure that your videos are not just being watched - they are effective instructional tools. If you are looking for ways to improve your flipped classroom, hybrid learning, or online learning environment, Edpuzzle is an essential tool to add to your Teacher’s Toolkit.
                                                                                                                                            
*You will need a free Edpuzzle account for this project.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""68195363""]","[""Rachel Lindsay""]",BEGINNER,Creating Interactive Learning Videos with Edpuzzle,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b1/9a63b605b64b8280f4c4aa16b47079/Teacher-s-Toolkit.png,"[""en""]",[],creating-interactive-learning-videos-edpuzzle,[],1 Hour,2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert""]",4U_0kVyoEfCgow4vYQRkjQ,v2.ondemand,"*Broadening leadership competences to navigate economic, social and ecological challenges in wind energy transitions*

This course is designed to help you develop your leadership competencies through experiential learning, reflection, and applying new approaches based on what you learn. It consists of 6 modules which present different themes in the renewable energy transition, particularly: justice in the energy transition (Module 2), participatory practices with local community members (Module 3), perspectives of other-than-humans (Module 4), alternative ownership and governance models (Module 5), and the management of wicked problems in transitions (Module 6). Additionally, each module provides exercises to help you apply the gained insights in your daily work as a leader in the wind energy sector.

Steering towards a just and effective wind energy system demands strong leadership. While the idea of a strong leader is often associated with someone dominant, assertive, and focused on clear, immediate outcomes, the complexity and uncertainty involved in the wind energy transition require a different approach. As the EU works toward reaching its goal of 45 % renewable energy by 2030, accelerating wind energy presents a range of challenges. It is not just about what is technically and financially possible. Local authorities and developers involved in wind energy focus on economic, social, and environmental issues to transform the wind energy system towards greater justice and effectiveness.

Therefore, these 6 modules place a strong emphasis on developing transition leadership competencies such as deep listening, reflecting on your assumptions, considering the perspectives of others, facilitating collective learning, and collaborating with different actors. Completing this course, you have broadened your leadership competencies to navigate the complex and uncertain realities of the renewable energy transition.","[{""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}]","[""186675685""]","[""Stéphanie van der Raad""]",INTERMEDIATE,Leadership in Transitions: Competences in Just Transitions,"[""244""]",https://coursera-university-assets.s3.amazonaws.com/c7/f4047066e511e5b719139c93eb0bee/Erasmus-University-wide-logo.png,"[""Erasmus University Rotterdam""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d8/fa533d4a854e088d9d769a82ca8fdf/Frame-2.png,"[""en""]",[],jw4a,[],"6 Weeks of Study, 5 hours/week",2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert"", ""Specialization""]",b_nfg2AsEfGFwA707EVsgw,v2.ondemand,"Analyze the powerful population trends that shape modern society by focusing on urbanization - the historical development of cities and its profound impact on our contemporary social lives. By the end of this course, you will be able to explain how these demographic patterns directly influence the structure and experience of social life in cities today.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""216235601""]","[""Pearson""]",BEGINNER,Population and Urbanization,"[""1842""]",http://coursera-university-assets.s3.amazonaws.com/bd/ac7c3afaa849d7b51565de406969d4/PEARSON_LOGO_PURPLE_RGB.png,"[""Pearson""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4b/53f233e17b43f1aefb12c3d2782168/PEARSON_LINE-WAVE_RGB_PURPLE-3.png,"[""en""]","[""Ug12Awn6SzKsGTdnSCyZsQ""]",population-and-urbanization,[],,2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert""]",hE28IzeJEfGjvAr_-4D8fQ,v2.ondemand,"This course helps higher education faculty, instructors, and academic leaders make sense of the forces reshaping colleges and universities, and what they mean for everyday teaching practice. You will examine key shifts such as technological acceleration, especially advances in artificial intelligence, changing student expectations, and evolving labor market demands that are influencing perceptions of degree value and student outcomes. Throughout, you will distinguish between temporary environmental changes and the enduring mission and purposes of higher education.

Building on this foundation, you will explore how knowledge, skills, and judgment interact in a world where AI is increasingly capable of performing routine cognitive tasks. The course examines the continued role of faculty expertise in guiding learning, maintaining academic rigor, and supporting meaning-making—not just skill acquisition. You will analyze the gaps between academic learning and workforce expectations, and learn how skills can serve as connectors between disciplines and career pathways. Finally, you will identify concrete opportunities in your own courses to make learning more visible and transferable, incorporate more active and applied learning, and experiment with AI-supported tools that extend instructional presence while preserving faculty autonomy. You will leave with a practical, low-risk action plan for integrating new approaches into your teaching context and contributing thoughtfully to institutional responses to change.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""206930758""]","[""Geoffrey Koch""]",BEGINNER,"Faculty, Skills, and the Future of Higher Education","[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2d/55d74c72dc468991a4c56268cd5ad8/Connections-of-knowledge-and-expertise.png,"[""en""]",[],faculty-skills-future-higher-education,[],,2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert""]",O0lyZeVUEeSglCIACzUL2A,v2.ondemand,"Are you ready for the new, COVID-forced, online learning paradigm? This competency-based, skill-building course will help non-U.S. students, first-generation immigrants, and foreign-born professionals better understand and master American online learning, as well as other U.S. virtual environments, for college and career success. In the post-COVID era, the course can also be very instrumental in assisting U.S.-based institutions in organizing remote learning activities for their current or prospective international students. 

The current pandemic has disrupted the world of higher education and work as we know it. Many thousands of international students and professionals can no longer travel internationally at will and must now learn how to effectively study and work remotely. To excel in American online learning and work environments, international students and foreign-born professionals need to know how American universities and companies use the Internet to organize study and work, develop and execute projects, communicate ideas, collaborate, and solve organizational and technical problems. By taking this course, you will learn how to enhance your cultural knowledge and assess potential skill gaps that may hinder your online experience or negatively impact your performance in U.S. virtual learning and work environments. Throughout the course you will systematically review competencies required for online work, come to better understand common barriers for non-native students and professionals, learn how to detect and overcome competency gaps, and develop plans for self-improvement and success. We believe that you will find the course useful and gain new knowledge and skills to become more successful in your remote study/work in the U.S. 

The course was previously offered as iMOOC101 and iMOOC102 ""Mastering American e-Learning"". We have updated it to reflect the new realities of the Post (well, not yet!)-COVID era. We will be glad if you could share your own experiences in navigating the new world of remote teaching, learning, and work.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""7581768"", ""9775195"", ""10512525"", ""11197435"", ""7864413""]","[""Dr. Valeri Chukhlomin"", ""Amy Giaculli"", ""Dr.  Bidhan Chandra"", ""Dr. Dana Gliserman-Kopans"", ""Dr.  Anant Deshpande""]",BEGINNER,Mastering Remote Work and Online Study in U.S. in the post-COVID Era,"[""117""]",http://coursera-university-assets.s3.amazonaws.com/e0/31a3853a284a86baa3219a8207a66f/SUNY_NEW_LOGO_Gotham_horizontal.png,"[""The State University of New York""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/83/5c06555c76468b84bd7ae2094169c9/RW_OS-logo-MASK-SQUARE.png,"[""en""]",[],e-learning,[],"5 weeks, 4-5 hours/week",2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert"", ""Specialization""]",UNEaRTncEemOlwqkscvK-A,v2.ondemand,"Digital-driven changes are both generic and specific. Most transformations apply to all industries, equally and without exception. But in some industries or places, digital transformations are singular and atypical. To be a player in the digital world, you will need to master both the transformations common to all industries and the transformations at work on certain verticals. Retail and the sharing economy are emblematic of markets where specific transformations are unfolding. This module will tell you how.

Week 1 : New business models, new perimeters
Week 2 : Regulating the digital innovation
Week 3 : The value of digital innovation","[{""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}, {""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}]","[""11743502"", ""15203984""]","[""Valérie Fernandez"", ""Thomas Houy""]",,Digital business - Grow on digital world,"[""66"", ""297""]",http://coursera-university-assets.s3.amazonaws.com/28/0cf38a7f2b40f2b029ee727645b6b1/Logo-horizontal-Pantone_noborder_h48.png,"[""École Polytechnique"", ""Institut Mines-Télécom""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3a/9602e3ee4c408b99a8d3714c241651/logo-grow-on-digital--3-.png,"[""en""]","[""-6wSxdk9EeesUBL2B1QgvA""]",grow-on-digital-world,[],"3 weeks of study, 2-3 hours/week",2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert""]",iv2nl67vEe6u3hK04-v50w,v2.ondemand,"The course is suited for teaching and learning professionals, media professors, university leaders, and educators interested in learning, creating, and using Digital Case Studies.

This course will allow learners to tap into the power of visual storytelling through the powerful format of the digital case study, which can and should be created by students themselves. This class uses video tutorials and practical guides  to teach learners case creation using inexpensive tools such as a smartphone, stabilizer, and Adobe Premiere Software. It also dives into how to design, fund, and manage education programs built on digital case studies.

To be successful in this course no pre-requisite filmmaking knowledge is required. An interest in documentary-style filmmaking and video editing is all you need.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}, {""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""15136729""]","[""Dr. Adam Stepan""]",BEGINNER,Digital Case Method,"[""40""]",http://coursera-university-assets.s3.amazonaws.com/aa/5bd170463311e7b9aab976f3e51f91/286OfficialColumbiaLogo.png,"[""Columbia University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8d/e44953dd7e4c28bc7779a2fdd8e0ab/white-Screenshot-2024-06-06-at-15.39.05-2.png,"[""en""]",[],digital-case-method,[],3/week,2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],[],FoN_Tts8Eeyfjw5n9ulJOw,v2.ondemand,"This course aims to provide an in-depth reflection on social work in different contexts, hereby focusing on their needs, the way the contexts have been influenced, and different challenges that have occurred during the last two years. 
It aims to set up conversations with multiple professionals where they give information about the hurdles on their path, the lessons learned from these turbulent times, and to give an overview of important ideas and practices that could help reshape the future of social work.
In the end, the goal is to provide specific, hands-on, best practices collected from literature and professionals in Belgium and Europe that help organise social work, both during and after a pandemic.

This course was developed as part of the research project 'Pan-European Response to the Impacts of the COVID-19 and future Pandemics and Epidemics' (PERISCOPE, https://www.periscopeproject.eu/). Funded by the European Commission Research Funding programme Horizon 2020 under the Grant Agreement number 101016233, PERISCOPE investigates the broad socio-economic and behavioural impacts of the COVID-19 pandemic, to make Europe more resilient and prepared for future large-scale risks.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""38906110""]","[""Marco Brambilla""]",,Reaching Vulnerable Groups through Pandemic Policy,"[""405""]",http://coursera-university-assets.s3.amazonaws.com/01/c62595317a4c01bcabd76db132a6c7/c2.png,"[""Politecnico di Milano""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b2/b6e929c1c14ef985cc26e06c017615/Logo.png,"[""en""]",[],reaching-vulnerable-groups-through-pandemic-policy,[],,2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert""]",QtQShZObEeqcUw5ApMKwQQ,v2.ondemand,"Performance Studies: An Introduction explores the wide world of performance--from theatre, dance, and music to ritual, play, political campaigns, social media, and the performances of everyday life. Performance studies also ranges across cultures--Asia, Africa, the Caribbean, Europe, the Americas. And it spans historical periods from the art of the paleolithic caves to YouTube and the avantgarde. This course is devised by Richard Schechner, one of the pioneers of performance studies, in dialogue with more than a dozen expert scholars and artists. Performance Studies: An Introduction puts students in dialogue with the most important ideas, approaches, theories, and questions of this dynamic, new academic field.


Learning Objectives

By the end of this course, you should be able to:

Articulate and analyze the major concepts of performance studies
Identify and analyze performances within the “broad spectrum of performance”--from everyday life and social media to performance art and global spectacles such as the Olympics
Comprehend key terms of performance studies, including is/as performance, restored behavior, ritual, play, make-belief/make-believe, performance in everyday life, the performative, and intercultural performance
Produce collaborative work that demonstrates teamwork in applying ideas learned in the course
Compare, analyze, and interpret performances of their own and other cultures
Articulate how the major concepts of the course relate to their own experiences and worldviews
Analyze and criticize in a constructive way the work of classmates

The lessons present Schechner’s concept of performance studies along with online assignments. In the assignments, students apply what they are learning by composing short responses to materials, writing in their NYU Classes Forums, and by reviewing other students’ forum posts each week.

Students choose either to work in groups of 3 to 5 on a term-long project maintaining a project portfolio in NYU Classes or to write a research paper. During the term, each group will lead an in-class 25-minute discussion of their project-in-progress. During the last face-to-face class, each group will present their project.

The weekly content is: 

What is Performance?
What is Performance Studies?
Performance Processes
From Not Performing to Performing
Ritual
Play
Performing in the Paleolithic
Ramlila of Ramnagar
The Performing Brain
Performativity
Constructing Social Roles
Social Media
Intercultural, Transcultural, Global
Group Projects & Wrap Up
Course Requirements

Each student is required to complete the week’s online lesson prior to the class session, attend and participate in the class sessions, complete the weekly assignments, participate and present the group project or submit a final paper.

Required Readings

See weekly online lessons.

Required Viewings (Videos)

See weekly online lessons.

Written work

Each student will either participate in a group project or write a research paper due at the end of the term, submitted electronically. Your professor will confer online and/or face-to-face during office hours to help students develop their writing and their projects. If you do a group project your professor may ask you to do some writing in relationship to your project.

Academic Integrity

The policy on plagiarism and academic honesty is posted on Classes. Read this document carefully, and be guided by it.

Copyright

Keep in mind the material you find in the online lessons is subject to copyright. You may not reproduce, reuse, or distribute it without permission outside of your work in this course. For more information on copyright and how it applies to course materials, see the Copyright Basics research guide.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""63719572""]","[""Richard Schechner""]",BEGINNER,Richard Schechner's Introduction to Performance Studies ,"[""309""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-misc.s3.amazonaws.com/mailspin/prod/12_18_2023_23_21_48_Tisch_full_color-wide_200px_-_platform_0.png,"[""New York University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/46/880f18219e43aca4bba6b74a4980c4/Screen-Shot-2020-06-03-at-3.03.58-PM.png,"[""en""]",[],richard-schechners-introduction-to-performance-studies,[],,2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert"", ""Specialization""]",vIyF1QfcEe-PZgr_4p5lOw,v2.ondemand,"In this course, we’ll be looking at leadership through the lens of psychological health and safety, which means we’ll be diving into the real workplace factors that shape well-being—things like stress, burnout, inclusion, communication, and conflict resolution.

We start by laying the foundation of strong leadership—what makes an effective leader, how your leadership style impacts your team, and how you can build trust, engagement, and accountability in your workplace.

We’ll also focus on employee mental health—how to recognize when someone on your team may be struggling, how to support them effectively, and how to ensure that mental health conversations are handled in a way that reduces stigma and fosters trust.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""education""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""141295134""]","[""Susan Sawatzky""]",BEGINNER,How to be a People Leader,"[""146""]",http://coursera-university-assets.s3.amazonaws.com/f6/4559ba784341fe8084f538436e3ee8/UA_Logo_Green_RGB-1-.png,"[""University of Alberta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c0/cdf1efb06b41c58ea76a7aa285c342/society_jobs.png,"[""en""]","[""nTzO414vR82yikkgqdMqyA""]",people-leader,[],"4 weeks, 3-4 hours/week",2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert"", ""Specialization""]",vP3RgSdKEfGV8Ar_4TWbTQ,v2.ondemand,"Master mortgage fundamentals, property law, and real-world lending decisions to become a confident mortgage advisor.
Learn how to evaluate borrowers, understand legal frameworks, and identify risks in mortgage transactions.

This course provides a comprehensive understanding of mortgage concepts, including loan against property, commercial mortgage, and financial intermediation. You will explore the legal aspects of property ownership under the Transfer of Property Act, analyze different types of mortgages, and understand the rights and liabilities of both borrowers and lenders.

Additionally, the course highlights real-world risks such as mortgage frauds, loopholes in lending processes, and preventive measures to ensure safe transactions. You will also gain clarity on freehold and leasehold properties and their implications in mortgage decisions.

By the end of this course, you will be equipped to evaluate mortgage suitability, guide clients effectively, and apply practical knowledge in banking and real estate environments.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""subdomainId"": ""law"", ""domainId"": ""social-sciences""}]","[""136048342""]","[""EDUCBA""]",,Real Estate Finance & Mortgage Advisory,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d4/d96513c41f40d0a30658ad4c51c849/439.1.png,"[""en""]","[""YyquzqwvQ8msJXZDi7bTLQ""]",real-estate-finance-mortgage-advisory,[],,2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert""]",JVtxhFi2EeWPXA4vXFBIfw,v2.ondemand,"An immersive experience in the world of sports that will take students through the four stages of a professional athlete's career. Utilizing lectures, guest speakers, reading assignments and hypothetical walkthroughs, students will learn how the best sports agents manage clients at each of these four stages.

This course will provide each student with the skills necessary to guide an athlete through the difficult decisions that can make or lose the athlete millions of dollars, as well as affect their public image and career. Walking through the four stages of an athlete's career, we will provide a broad scope of the landscape of amateur and professional sports so that you can avoid the pitfalls and traps that so many have fallen into in the past; not to mention, bringing you updates throughout the course regarding the rapidly changing sports world that we live in today. Analyzing the best practices in the management of the superstar athletes with whom Professor Carfagna, Professor Volante and their expert guests have worked, we will show you how to manage the career of any professional athlete who might seek your guidance at any stage of his or her professional career.","[{""subdomainId"": ""law"", ""domainId"": ""social-sciences""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""8603010"", ""8602996""]","[""Peter A. Carfagna"", ""Richard J. Volante, Esq.""]",BEGINNER,Becoming a Sports Agent,"[""68""]",http://coursera-university-assets.s3.amazonaws.com/f8/baea9903dc4b3a9103470f938fef17/CWRU_Two-line-horizontal-Primary-logo_CMYK-Blue.png,"[""Case Western Reserve University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9b/16bd60607f11e5909fff9439107804/carfagna.jpg,"[""en""]",[],sports-agent,[],"11 modules of study, approximately 2 to 2.5 hours of work per module",2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert"", ""Specialization""]",20cUeRNfEemsugpc-osVtg,v2.ondemand,"Enhance your understanding of privacy laws with our focused course on American Privacy Law, a natural progression after completing ""Privacy in the Western World."" This course is designed to give you a comprehensive view of how privacy is protected within the American legal framework.

The course begins by examining the constitutional protection afforded by the 4th Amendment, which acts as a critical safeguard against unwarranted governmental intrusion. Further, you will explore a range of consumer protection laws that encompass various sectors like health and finance. Additionally, the course details specific laws designed to protect the privacy of multiple forms of communication, including mobile telephony, e-mail, and online searches.

Upon successful completion, you will be well-prepared to understand and follow ongoing legal developments in the American context of privacy protection. Elevate your understanding of privacy in the American context. Enroll today to get started.","[{""subdomainId"": ""law"", ""domainId"": ""social-sciences""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""26858305""]","[""Jan Smits""]",INTERMEDIATE,Privacy in the USA,"[""253""]",http://coursera-university-assets.s3.amazonaws.com/d7/340a3f560e4f1a95f78448fa3e1694/Logo_landscape.png,"[""28DIGITAL""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/aa/b5a660b9ee4a02aa3efc0c6984af30/Privacy-in-USA.png,"[""en""]","[""sopD5xNeEem34g6h18aPeA""]",privacy-laws-us,[],"6 weeks of 4 hours, plus exam and preparation, total of 40 hours",2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert""]",xJcrKR2mEeurzAoTd29xrw,v2.ondemand,"Based on the acclaimed book, ‘In Service of the Republic’, by Vijay Kelkar and Ajay Shah, this course presents a rigorous framework for understanding economic policymaking – through concepts, cases, and discussions.

Why do well-intentioned policies fail? How do incentives, transparency, and State capacity determine policy outcomes? And what does economic policymaking look like, in a complex democracy like India?

Drawing from one of the most widely read and discussed books on Indian public policy, the course The Art and Science of Economic Policy translates a comprehensive volume into an interactive learning experience—combining video lectures, Indian case studies, readings, and forums. 

In this six-module, self-paced course, learners will work through core concepts in economic policymaking—the role of the government, market failure, information problems, and institutional design—and the collaborative pathways between government and knowledge institutions through which policy is designed and implemented.

No prior economics training is required for enrolment, though familiarity with basic concepts will be helpful.

You should enrol, if you are:
• Civil servants and government officials working on economic and urban policy
• Aspirants preparing for the IAS, IPS, and other civil services examinations
• Policy researchers and development sector professionals
• Students of public policy, economics, business, or law
• Corporate employees and business leaders looking to understand economic policy and development work

Why you should enrol:
Each citizen plays an important role in shaping the Indian Republic. This course explains the relevance and impacts of economic policymaking in everyday life in an accessible manner—enabling citizens, public servants, and learners to understand the implications of various aspects of governing a Republic.

By the end of this course, you will:
• Understand the role of the government in economic policymaking—and the conditions under which it succeeds or fails
• Recognise the objective aspects of policymaking, and appreciate the softer and people-focused aspects involved
• Gain the ability to analyse the steps involved in the process of policymaking, and understand the various nuances and challenges in defining and implementing it
• Be able to engage more confidently and rigorously with economic policy debates—as a citizen, a practitioner, or a student of public affairs.","[{""subdomainId"": ""economics"", ""domainId"": ""social-sciences""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""42907743"", ""4931723"", ""110849765""]","[""Aromar Revi"", ""Ajay Shah"", ""Vijay L Kelkar""]",BEGINNER,The Art and Science of Economic Policy,"[""560""]",http://coursera-university-assets.s3.amazonaws.com/7a/c3dcfb0ab44cecb295c508799e0709/logo-retina-39.png,"[""Indian Institute for Human Settlements""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cd/b47fec47b74831ae15bd562e3c40b0/Logo-Final-Square.png,"[""en""]",[],art-and-science-of-economic-policy,[],"5 weeks of study, 3-5 hours/week",2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert""]",zMOv2XzcEe6_Ow7OYY5Yqw,v2.ondemand,"This micro-course explores some of the major histories, migrations, artists and activists that have contributed to the presence and survival of Black people in Canada. The course tracks Canada’s evolving relationship to Blackness and Black people, while inviting learners to reflect upon the ways Canadian views of race and multiculturalism have influenced Black communities throughout the country. We invite you to reflect, dream, and think alongside some of today’s most prominent Black intellectuals as we examine the history of Black presence in Canada, and imagine vibrant Black Canadian futures.","[{""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""132668681""]","[""Dr. W. Andy Knight""]",BEGINNER,"Black Canadians: History, Presence, and Anti-Racist Futures","[""146""]",http://coursera-university-assets.s3.amazonaws.com/f6/4559ba784341fe8084f538436e3ee8/UA_Logo_Green_RGB-1-.png,"[""University of Alberta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0d/adc987ab084f32b894bf5cb346366f/logo.jpg,"[""en""]",[],black-canadians,[],"4 weeks of study, 2-3 hours/week",2lYtuFhhONYktr1w6,fKBERQH3bGoYUKtcF
[],"[""VerifiedCert""]",cdLlrD7FEe6U4g7a-RyA1w,v2.ondemand,"The National Institutes of Health (NIH) has a new policy for the management and sharing of scientific data starting for (most) grants submitted January 25, 2023 or later. In this course we will describe what the new policy requires, places where you might want to share your particular kind of data, and how to deal with possible challenges associated with the policy.

This course is for anyone writing a grant proposal for NIH that needs to know more about this policy and how to abide by it. It will guide learners gently through the process and help you figure out where you might need to share your data.

This course is intended for those who are somewhat familiar with the grant writing process, however those who are completely new to grant writing will still find the material useful, but may need to look up a few terms. 

Learning Objectives:
1) Explain why the NIH has implemented this new policy
2) Describe the elements required in a data management and sharing plan
3) Identify appropriate data sharing repositories for different projects
4) Write a data management and sharing plan

Unique Features of this Course
- Beginner friendly for those who want to get started learning about this policy
- Guided gentle step-by-step process to write your own data management and sharing plan
- Easy access to  relevant links associated with this policy and helpful tools 
- Helpful guidance about where to share your data
- Information about nuances involved in the policy

Key Words
Data Sharing, NIH, Data Management, Data Sharing and Management Plans, Grant Writing, Grant Applications

Intended Audience
- Those involved in writing NIH grants
- Those involved in submitting NIH grants

Accessibility

We are committed to making our content accessible and available to all. We welcome any feedback you might have at https://forms.gle/3sTZpctxzYyhj74NA. Questions related to accessibility accommodations should be directed to https://studentserviceportal.force.com/s/.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""research-methods""}]","[""122277194""]","[""Ava Hoffman, PhD""]",BEGINNER,Data Management and Sharing for NIH Proposals,"[""1359""]",http://coursera-university-assets.s3.amazonaws.com/7b/5a1a7227e24f24a2677ca6ce2e9d07/Fred-Hutch-200px-48px.png,"[""Fred Hutchinson Cancer Center""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d7/31f676c6be4d0f990428b9bf50041d/NIH-Data-Sharing-Course-LOGO_sq.png,"[""en""]",[],nih-data-sharing,[],,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert""]",e5tMvbV9EfCIjQ7jRRH7CQ,v2.ondemand,"As global pressure grows to cut emissions and reduce resource use, high-tech manufacturers face the challenge of achieving sustainability without sacrificing performance or innovation. This practical course equips engineers, operations managers, and sustainability professionals with the skills to integrate sustainable practices into advanced manufacturing environments. Through real-world examples and interactive exercises, you'll learn how to reduce energy use, minimize waste, and improve environmental performance at the facility level. Explore emerging technologies like AI-driven optimization, IoT-based monitoring, and eco-friendly materials that are shaping the future of manufacturing. You’ll also gain an understanding of global sustainability regulations, ESG reporting standards, and carbon credit markets across regions such as the EU, U.S., and India. 

This course is designed for professionals in manufacturing, operations, and sustainability roles who want to drive measurable environmental impact. It’s equally useful for engineers, plant managers, and corporate leaders looking to align production strategies with ESG and regulatory expectations.

Learners should have a basic understanding of manufacturing operations, sustainability principles, and environmental regulations. No advanced technical background is required, but curiosity about technology and innovation will help you get the most out of the course.

By the end, you'll be able to implement effective sustainability strategies, navigate compliance requirements, and support your organization’s environmental goals with confidence.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""150425680"", ""141793623""]","[""Anna Delgove Alday"", ""Starweaver""]",INTERMEDIATE,Sustainable Practices in High-Tech Manufacturing,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/08/cb9fd378cf4564998f2e44eacc86d8/Thumbnail-1200-x-1200-px-Sustainable-Practices-in-High-Tech-Manufacturing---Anna-Delgove.png,"[""en""]",[],sustainable-practices-in-high-tech-manufacturing,[],80 Minutes,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",lo08qFSsEe2HYQ674WURew,v2.ondemand,"This course looks at two photopolymer resin-based processes: material jetting and stereolithography. We walk through the build preparation, printing, and post-processing for both processes, and discuss the kinds of applications for which these processes are well suited.

The necessary elements for each course are lecture videos, knowledge checks, and project completion. For additional information on certain topics, I've included supplemental readings and videos throughout various lessons that might enhance your knowledge. Because all resources are not available to all students, these materials are optional.

In addition, you will note that some of the lectures feature our department’s graduate students. These excellent students are sometimes closer to the material, having learned it recently, so we greatly appreciate their participation in the instructional process.","[{""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""123563647""]","[""Dhruv Bhate""]",INTERMEDIATE,Material Jetting and Stereolithography,"[""287""]",,"[""Arizona State University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/57/3b12679da94c1b9ecdae6603241201/shutterstock_1829732948.jpg,"[""en""]","[""ZQ5XNlSsEe25hg4-JPnUlw""]",material-jetting-and-stereolithography,[],,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert""]",E2jbAnlBEfGqfhJYsSl2Gw,v2.ondemand,"Learn the fundamentals of microfabrication and nanofabrication by using the most effective techniques in a cleanroom environment.

Microfabrication and nanofabrication are the basis of manufacturing for nearly all modern miniaturized systems that are ubiquitously used in our daily life. Examples include; computer chips and integrated sensors for monitoring our environment, cars, mobile phones, medical devices and more. 

Micro- and nanofabrication can be taught to students and professionals by textbooks and ex-cathedra lectures, but the real learning comes from seeing the manufacturing steps as they happen. 

In this engineering course, we will go a step beyond classroom teaching to not only explain the basics of each fabrication step but also show you how it’s done through video sequences and zooming into the equipment. For some selected examples, students will also be able to set process parameters on a virtual panel to see how it affects the processing results.","[{""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""1194424""]","[""Juergen Brugger""]",INTERMEDIATE,Micro and Nanofabrication (MEMS),"[""16""]",http://coursera-university-assets.s3.amazonaws.com/9f/ef20ba7f7f457db079ed5231bde306/EPFL-Logo-200-48.png,"[""École Polytechnique Fédérale de Lausanne""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f1/e6dae097744be3833c4188748f37e9/MEMSbig.jpg,"[""en""]",[],micro-and-nanofabrication-mems,[],3 hours a week,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",POZJ3uOtEeSoXCIACw4Gzg,v2.ondemand,"工程圖學在教什麼？這門課有的重要性為何? 對我的專業有什麼幫助?沒有工程背景的人也可以學習工程圖學嗎？我不是工程師，學習工程圖學對我的生活有幫助嗎？
這門課是CAD/BIM技術與應用專項課程的第一門課，與其他三門課「工程圖學2D專題」、「工程圖學3D」，及「工程圖學3D專題」，作為工程圖學及電腦繪圖的入門課程，你將在這門課會學到各種繪圖的原理與方法，以及AutoCAD電腦繪圖技術，並在相關的作業練習中，逐漸熟練這些基本技術。
工程製圖的應用無所不在，最主要的目的就是利用圖像來描述物體的形貌與功能，作為保存與傳遞想法的工具。繪圖一點也不難，無論你從事什麼工作，來自什麼背景，只要你具備中學程度的基本幾何和三角函數概念，就可以在這裡從頭開始，學會工程圖學！你會驚訝的發現，當繪圖融入你的生活時帶來的趣味與方便！","[{""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""2139037""]","[""康仕仲""]",,工程圖學 2D CAD,"[""75""]",http://coursera-university-assets.s3.amazonaws.com/ca/1fae86849a421d8aadc224ad843ae0/logo_s.png,"[""National Taiwan University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/00/a5a050b00f11e4a169f7e38b70cf48/20150130-1-03.png,"[""zh-TW""]","[""YlwJSg5BEeWFoCIACyoeMw""]",2d-cad,[],,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert""]",6tx1Y3LiEeWxvQr3acyajw,v2.ondemand,"課程介紹與教學目標 (About the course)
　　房屋為我們遮風避雨，讓我們安心工作、生活，而結構系統又是房屋的骨幹，讓房屋能站的又高、又直、又穩。你知道橫者為梁，直者為柱，但你知道在結構工程師的眼中，梁與柱有什麼其他的不同嗎？他們其中藏著什麼秘密，能支撐起整個結構？工程師要怎麼決定梁該有多深？柱該有多粗？該用矩形、圓形還是其他形狀？該用實心還是空心？在有地震的地方，設計上是否又有不一樣的考量？
　　材料力學是通往上述問題解答關鍵的一步。在材料力學(一)裡，我們會由大家熟知的虎克定律開始，以蓋房子的重要材料「結構鋼」為例，深入探討「力量」與「變形」這兩個令結構工程師愛恨交加的物理量之間的關係。然後依序探討結構桿件受軸力（拉/壓）、受扭、受彎、受剪四大外力作用下，會在桿件內部產生怎樣的相對應變形與受力，並探討建築結構設計概念與提供桿件設計演算範例。
　　本課程是希望精通「鋼筋混凝土設計」、「鋼結構設計」、「木構造設計」者必備的先修課程，也為對「彈性力學」有興趣者，提供許多基礎知識與這些知識如何實際應用於工程設計。
主要授課對象為土木、建築相關從業人員與在學學生，其他包括工學院各科系同學或對材料力學有興趣的人士，也歡迎選修。

授課形式 (Course format)
　　本堂課將以影片的形式為主, 搭配課後作業及期末報告的形式來進行。

修課背景要求 (Recommended background)
　　靜力學 ( Statics )","[{""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""8052214""]","[""黃尹男""]",BEGINNER,材料力學一 (Mechanics of Materials (1)),"[""75""]",http://coursera-university-assets.s3.amazonaws.com/ca/1fae86849a421d8aadc224ad843ae0/logo_s.png,"[""National Taiwan University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/87/25ae60971111e590b26f18b4aa42ec/__logo.jpg,"[""zh-TW""]",[],mechanics-of-materials-1,[],,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",D65_SZLUEe6XHw4RqGpeoQ,v2.ondemand,"Applied Sustainability Engineering, the second course in the ""Applied Sustainability for Technical Managers"" specialization discusses the techniques used by engineers and scientists to develop and assess the environmental impact of products and processes required to make those products. It begins with a discussion of different renewable energy technologies and their economics – highlighting how continued reductions in cost have made wind and solar power the least expensive way to generate electricity. It then addresses carbon footprints and how they are determined, applying a practical example where you determine your residential and transportation carbon footprints. From there, the course transitions to defining sustainable and circular products and packaging and showcasing several examples. As Technical Managers, you’ll need metrics for determining whether a product is truly sustainable, so the course introduces techniques such as Life Cycle Assessment (LCA), Streamlined LCA (S-LCA), and the Eco-Audit methodologies. The course concludes with an overview of sustainable product design frameworks, including Cradle-to-Cradle, Design for the Circular Economy, and Biomimicry, just to name a few.

This course is very practical, introducing you to several areas critical to managing and learning about sustainability initiatives, from assessing the environmental and social impacts of a product or process, to designing more sustainable and circular products. If you want to work towards having a positive impact on the planet and on society, then this course is for you!

This course was developed in collaboration with Siemens Digital Industries Software and is part of the ""Design for the Circular Economy"" collection. Learners who complete and pass the course can receive an industry-recognized digital badge. 

The “Design for the Circular Economy” microcredential and graduate certificate are developed around the educational goals of providing technical, business, and leadership knowledge and skills that inspire the transformation towards a more circular economy. This includes gaining technical knowledge to apply circular economy principles in product design, minimizing waste and maximizing impact; developing business acumen to implement innovative circular economic models that prioritize sustainability and resilience; and acquiring leadership strategies to communicate effectively and inspire change within an organization. 

This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""business"", ""subdomainId"": ""business-strategy""}]","[""25865418""]","[""Michael J. Readey, Ph.D.""]",INTERMEDIATE, Applied Sustainability Engineering,"[""71"", ""781""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-misc.s3.amazonaws.com/mailspin/prod/06_25_2024_19_54_32_merge.png,"[""University of Colorado Boulder"", ""Siemens""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4f/0a11780ac04adeb02cb453a2d9fc7a/C2-Logo.png,"[""en""]","[""ls-sq-KmT_qFBKzYFlSyiw""]",applied-sustainability-engineering,[],"6-10 hours per week, the entire course can be completed in 5-6 weeks",LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",IjAlbH3IEeWb-BLhFdaGww,v2.ondemand,"This course can also be taken for academic credit as ECEA 5700, part of CU Boulder’s Master of Science in Electrical Engineering degree.

This course introduces the basic concepts of switched-mode converter circuits for controlling and converting electrical power with high efficiency. Principles of converter circuit analysis are introduced, and are developed for finding the steady state voltages, current, and efficiency of power converters. Assignments include simulation of a dc-dc converter, analysis of an inverting dc-dc converter, and modeling and efficiency analysis of an electric vehicle system and of a USB power regulator.

After completing this course, you will:
● Understand what a switched-mode converter is and its basic operating principles
● Be able to solve for the steady-state voltages and currents of step-down, step-up, inverting, and other power converters
● Know how to derive an averaged equivalent circuit model and solve for the converter efficiency

A basic understanding of electrical circuit analysis is an assumed prerequisite for this course.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""electrical-engineering""}, {""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""2659612""]","[""Dr. Robert Erickson""]",INTERMEDIATE,Introduction to Power Electronics,"[""71""]",http://coursera-university-assets.s3.amazonaws.com/e1/d25de6c2be4186a8884c35a4284184/Boulder-FL.png,"[""University of Colorado Boulder""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/dd/4ba310360b11e5861fe1a37c4eb3a1/Powerelectronics.jpg,"[""en""]","[""Dxf4mLPAEeWv5A7DLfWrAQ""]",power-electronics,[],"3 weeks of study, 1-3 hours/week",LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert""]",3Fbjo3_FEe2MDA4NmZ7FXQ,v2.ondemand,"이 강좌는 다양한 재생 에너지 솔루션의 복합성과 미묘한 차이에 대한 지식을 쌓을 수 있도록 도와주고 관련 커리어 기회(기술 관련 커리어 및 일반적으로 청정에너지와 관련되지 않은 직무 모두)에 대한 지식도 제공합니다. 수강생은 녹색 에너지 기술, 지속가능성이 사회에 미치는 영향, 미국의 에너지 소비 및 보존에 대한 토론에 적극적으로 참여합니다. 주제는 다음과 같습니다. 녹색건축 설계 및 건설의 원리, 광전지를 통한 태양 에너지 변환, 풍력 터빈 부지 선정 및 설계, 청정에너지에 나노 기술 적용. 이 강좌는 각 청정에너지 시장 부문에 해당하는 뉴욕 주립 대학교(SUNY) 시스템의 교육 기회를 참조합니다.

재생 에너지 분야에 진입하려는 사람이라면 신규 종사자든 업종 전환자든 누구나 이 강좌에서 도움을 얻을 수 있습니다. 자료에는 온라인 강좌. 영상, 데모, 읽기 자료, 토론이 포함됩니다. 수강생은 관심 있는 분야의 직업이 무엇인지 정의하고, 부족한 부분이 무엇인지 평가하여 추가로 필요한 교육/훈련/역량이 무엇인지 정하고, 원하는 재생 에너지 커리어 패스를 문서화하여 커리어 로드맵을 만듭니다.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""electrical-engineering""}]","[""50896743""]","[""Elena Brewer""]",BEGINNER,재생 에너지: 기본 원칙 및 일자리 창출,"[""458""]",http://coursera-university-assets.s3.amazonaws.com/f3/2cebc052f611e891189f8511554bb8/University-at-Buffalo.png,"[""University at Buffalo""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/69/70cb3011b84577bbf6987b28188056/CE101-logo-cropped.jpg,"[""ko""]",[],renewable-energy-fundamentals-ko,[],,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",2prtDtPREeWh-hLKMaYc3w,v2.ondemand,"Este curso apresenta os principais conceitos do controle de sistemas e mostra suas vantagens e importância para a sociedade moderna. Você vai entender o que é o controle de sistemas e como o controle com realimentação funciona, e passará a perceber a sua presença em diversas situações em seu dia-a-dia, na natureza, no corpo humano e em diversos dispositivos, desde os mais simples até os mais complexos.

Você vai perceber a necessidade de modelos teóricos para a análise e o projeto do controle de sistemas e aprenderá como verificar se um sistema atende a determinados requisitos de desempenho. Você também aprenderá como projetar um controle simples de modo a obter o melhor desempenho possível de um sistema de controle. Este é apenas o primeiro passo em direção a um vasto campo do conhecimento e lhe dará a base e a segurança necessárias para avançar em seus estudos no maravilhoso mundo do controle de sistemas.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""electrical-engineering""}, {""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""13268751""]","[""Jackson Paul Matsuura""]",,Introdução ao Controle de Sistemas,"[""252""]",http://coursera-university-assets.s3.amazonaws.com/7d/66414eb1004c28b5040ae3ed94dc96/ITA_logo.png,"[""Instituto Tecnológico de Aeronáutica""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a7/9c2770d42711e5887797ab42779797/Controle00.png,"[""pt-BR""]",[],controle,[],,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",keTiqTKyEfGAJwr_0dT7bw,v2.ondemand,"The foundation of every successful HVAC career is built upon the mastery of the industry's essential tools. This introductory course provides a comprehensive guide to the specialized equipment required to deliver exceptional quality and safety in heating, cooling, and ventilation work. This training bridges the gap between simply owning tools and understanding their precise function in the field. 

By the end of this course, you will be able to identify common hand and specialized tools used in modern HVAC applications. You'll be able to explain the specific purpose and engineering behind each tool and describe the proper and safe usage of equipment to support field-ready skills. 

In this course you will explore how using the right tool impacts the accuracy of installations and the efficiency of troubleshooting. By completing this training, you will gain the practical knowledge necessary to perform tasks with the confidence and precision of a master technician.","[{""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""electrical-engineering""}]","[""209588799""]","[""Interplay Learning""]",BEGINNER,Basic HVAC Tools,"[""4588""]",http://coursera-university-assets.s3.amazonaws.com/d8/07b337cd2a4f2b8ee86cafa27b3ad2/200x48.png,"[""Interplay Learning""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/65/6efd576c5b45a69e1b8b6b0c70c5f7/basichvactools-1-.jpg,"[""en""]","[""J1s_Q0v5TC2sTXfVigwJfw""]",hvac-tools,[],,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert""]",5epfT7cBEeScDCIAC9REiQ,v2.ondemand,"This course is designed to introduce students to the issues of energy in the 21st century – including food and fuels – which are inseparably linked – and will discuss energy production and utilization from the biology, engineering, economics, climate science, and social science perspectives. 

This course will cover the current production and utilization of energy, as well as the consequences of this use, examining finite fossil energy reserves, how food and energy are linked, impacts on the environment and climate, and the social and economic impacts of our present energy and food production and use. After the introductory lectures, we will examine the emerging field of sustainable energy, fuel and food production, emphasizing the importance of developing energy efficient and sustainable methods of production, and how these new technologies can contribute to replacing the diminishing supplies of fossil fuels, and reduce the consequences of carbon dioxide release into the environment. This course will also cover the importance of creating a sustainable energy future for all societies including those of the developing world.  Lectures will be prepared and delivered by leading UC San Diego and Scripps Institution of Oceanography faculty and industry professionals across these areas of expertise.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}]","[""5994674""]","[""Dr. Stephen Mayfield""]",,Our Energy Future,"[""53""]",http://coursera-university-assets.s3.amazonaws.com/c5/3de8182b104f82af1982b55e0ee124/new-1-UCSanDiego-Coursera-wide-2-.png,"[""University of California San Diego""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8f/71df508df711e39a1703b1fb48e006/home-page-image.png,"[""en""]",[],future-of-energy,[],"45 hours of videos, quizzes and peer reviews",LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",qqP6hnElEeWi0g6YoSAL-w,v2.ondemand,"In this course, the second in the Geographic Information Systems (GIS) Specialization, you will go in-depth with common data types (such as raster and vector data), structures, quality and storage during four week-long modules: 

Week 1: Learn about data models and formats, including a full understanding of vector data and raster concepts. You will also learn about the implications of a data’s scale and how to load layers from web services. 

Week 2: Create a vector data model by using vector attribute tables, writing query strings, defining queries, and adding and calculating fields. You'll also learn how to create new data through the process of digitizing and you'll use the built-in Editor tools in ArcGIS.

Week 3: Learn about common data storage mechanisms within GIS, including geodatabases and shapefiles. Learn how to choose between them for your projects and how to optimize them for speed and size. You'll also work with rasters for the first time, using digital elevation models and creating slope and distance analysis products.

Week 4: Explore datasets and assess them for quality and uncertainty.  You will also learn how to bring your maps and data to the Internet and create web maps quickly with ArcGIS Online.

Take GIS Data Formats, Design and Quality as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first course in this specialization, Fundamentals of GIS, before taking this course. By completing the second class in the Specialization you will gain the skills needed to succeed in the full program.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""620833""]","[""Eric Howard""]",INTERMEDIATE,"GIS Data Formats, Design and Quality","[""83""]",http://coursera-university-assets.s3.amazonaws.com/c1/52e2b552e74c8d9455c00137787477/UCD-logo-200x48px.png,"[""University of California, Davis""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/cd/0592f0b32311e5835f974a8abbc8f3/DesktopGIS_Alternate_3.png,"[""en""]","[""child~UeAj0i3gTVyyxoV95OGf1g""]",gis-data,[],"4 weeks of study, 2-3 hours/week",LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",2S5f6J2JEe-XQxLwNDvmSw,v2.ondemand,"Welcome to the comprehensive Site Investigation course, unfolding across four enlightening modules crafted to provide learners with a profound understanding of the complex world beneath our feet. In Module 1, participants will delve into diverse site investigation types, methods, and codal provisions, gaining practical insights to adeptly select drilling and sampling approaches tailored to specific soil conditions. Module 2 will take learners on an exploration of field tests, including SPT, SCPT, DCPT, and Plate Load Tests, fostering proficiency in conducting these tests and providing a nuanced understanding of alternative methods such as Vane Shear Test and Pressuremeter Tests. In Module 3, learners will unravel the essentials of site investigation reports, mastering the analysis of crucial data while delving into the intricacies of liquefaction susceptibility and mitigation methods. Finally, Module 4 will immerse learners in a Virtual Laboratory for soil testing, where they will acquire hands-on skills in conducting tests like liquid limit, plastic limit, compaction, shear strength, consolidation, and permeability—essential tools for their journey into the realm of site investigation and engineering applications. 
To strengthen acquired knowledge and ensure a continuous learning flow, learners are encouraged to regularly participate in the course on a weekly basis. Consistent review of topics not only fosters clarity but also deepens understanding. Quizzes and assignments are thoughtfully designed to evaluate learners' comprehension, and in instances of difficulty in recall, revisiting content for better understanding is always an option. Supplementary reading materials are provided for additional information and in-depth analysis. Learners are urged to explore these materials, as they delve into practical aspects and real industry cases. Active engagement in the discussion forum is strongly advocated. Collaborating with peers facilitates the exchange of ideas and perspectives, fostering a cooperative learning environment. Interacting with peers proves valuable for validating and reinforcing learning.
The course, meticulously crafted and presented by professionals with extensive industry expertise, provides an excellent opportunity to glean insights from seasoned masters. Get ready to uncover the secrets beneath the surface and build a solid foundation of knowledge in Site Investigation!","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""113266557""]","[""Subject Matter Expert""]",INTERMEDIATE,Site Investigation,"[""1160""]",http://coursera-university-assets.s3.amazonaws.com/e2/c8cb83a8ae441f8cc0ff5aeb7c8980/EduTech-Master-logo-2021-dimensions.png,"[""L&T EduTech""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/21/0263713e514fe3a93c1adc43de6ca1/image.jpg,"[""en""]","[""1Ijl2E--QSKSHR8rnMVJJg""]",site-investigation,[],,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",5Gh8cen3Ee2B5Q7slTWOqw,v2.ondemand,"As a follow-on course to ""Linear Kalman Filter Deep Dive"", this course derives the steps of the extended Kalman filter and the sigma-point Kalman filter for estimating the state of nonlinear dynamic systems. You will learn how to implement these filters in Octave code and compare their results. You will be introduced to adaptive methods to tune Kalman-filter noise-uncertainty covariances online. You will learn how to estimate the parameters of a state-space model using nonlinear Kalman filters.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""electrical-engineering""}, {""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""22004840""]","[""Gregory Plett""]",INTERMEDIATE,Nonlinear Kalman Filters (and Parameter Estimation),"[""126""]",http://coursera-university-assets.s3.amazonaws.com/94/45ab9b6dc849e29a9697ebb3227dd2/cu_standard_no-campus.png,"[""University of Colorado System""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/04/1f972a91d843988e2f3b4e2794751e/Course3.png,"[""en""]","[""hW77mZ5MQpW3ABP6jX3Xag""]",nonlinear-kalman-filters-parameter-estimation,[],"Four weeks of study, about 5 hours per week",LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",exTaaBhwEeuZMg5ULdCeSw,v2.ondemand,"Leading the Circular and Sustainable Business is the third and final course in the specialization, Applied Sustainability for Technical Managers.  

This course focuses on the business case for sustainability.  It begins by defining a sustainable business, one that is inclusive of all stakeholders and how new organizational structures support the sustainable enterprise, enabling the business to go beyond corporate social responsibility (CSR) initiatives. The course highlights sustainable operations and supply chains, recognizing sustainable products need to be manufactured using environmentally and socially responsible practices. Companies are increasingly marketing products as ""green"", and the course discusses truthful advertising, greenwashing, and the value of 3rd-party certifications. Sustainable finance is introduced through the lens of the Triple Bottom Line (TBL), using the Environmental P&L to illustrate a company’s environmental costs.
ESG (Environmental, Social and Governance) is increasingly important today, and companies are communicating their progress through Sustainability reports. The course explores how to read a sustainability report, as well as methodologies to generate them, including GRI and CSRD.
The course closes with a discussion of Sustainability Leadership, from starting your own business to effectively communicating with upper management. This course is about empowerment, providing you with the knowledge and tools to be more sustainable in your daily life, in the community where you live, and in the company where you work.

This course was developed in collaboration with Siemens Digital Industries Software and is part of the ""Design for the Circular Economy"" collection. Learners who complete and pass the course can receive an industry-recognized digital badge. 

The “Design for the Circular Economy” microcredential and graduate certificate are developed around the educational goals of providing technical, business, and leadership knowledge and skills that inspire the transformation towards a more circular economy. This includes gaining technical knowledge to apply circular economy principles in product design, minimizing waste and maximizing impact; developing business acumen to implement innovative circular economic models that prioritize sustainability and resilience; and acquiring leadership strategies to communicate effectively and inspire change within an organization. 

This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}]","[""25865418""]","[""Michael J. Readey, Ph.D.""]",INTERMEDIATE, Leading the Circular and Sustainable Business,"[""71"", ""781""]",http://coursera-university-assets.s3.amazonaws.com/e1/d25de6c2be4186a8884c35a4284184/Boulder-FL.png,"[""University of Colorado Boulder"", ""Siemens""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/93/bfca09c0ce44248872ffc3943d4a65/C3-Logo.png,"[""en""]","[""ls-sq-KmT_qFBKzYFlSyiw""]",leading-circular-sustainable-business,[],"6-10 hours per week, the entire course can be completed in 5-6 weeks",LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",IIMpcjZHEfC3HAr_0KfBDw,v2.ondemand,"This course offers a comprehensive introduction to the environmental dimension of Health, Safety, and Environment (HSE) management, blending theoretical foundations with practical guidance. You’ll begin by exploring the core principles of environmental protection and the regulatory landscape—examining how global standards like ISO 14001 shape effective Environmental Management Systems. From there, you’ll learn to monitor environmental conditions, analyze and interpret data, and communicate performance clearly and convincingly.

As you progress, the course delves into the full lifecycle of hazardous materials: characterizing waste streams, evaluating treatment technologies, and understanding regulatory requirements for safe disposal. You’ll build the skills to select appropriate management strategies that minimize risk and environmental impact while ensuring compliance with legal frameworks.

Finally, you’ll master environmental risk assessment and develop robust risk management plans that align with organizational goals. The course culminates with emergency response planning, equipping you to design and implement protocols for environmental incidents that protect people, assets, and ecosystems. Whether you’re new to HSE or an experienced practitioner, you’ll come away ready to integrate environmental stewardship into your safety programs and drive more sustainable, compliant operations.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""130111762""]","[""Dr. Saed T. Amer""]",BEGINNER,Environmental Protection and Sustainability,"[""883""]",http://coursera-university-assets.s3.amazonaws.com/9e/61f22e0b87403da7b8f69d0a54c2b1/KU-logo-2-.png,"[""Khalifa University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/98/e534b5523b40ec9515cfa9e6cac310/hse_thumbnail2-1-.png,"[""en""]","[""RCQyl1gnTyGc1gO-xck4qQ""]",course-3-environmental-protection-and-sustainability,[],,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",0akimF5JEe6fghJDrQDcsQ,v2.ondemand,"MOSFET transistor switches are the workhorse of semiconductor-based electronics. In this course, we begin with MOS capacitors and see how to extract the oxide charge density, which is important for controlling the MOSFET threshold voltage. We then review MOSFET electrical characteristics and see how current-voltage measurements are used to determine the threshold voltage. The course project uses real-world data to extract the threshold voltage of a 40 nm gate length MOSFET designed for 5G radio frequency integrated circuits.","[{""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""132162607""]","[""Trevor Thornton""]",INTERMEDIATE,Electrical Characterization: MOSFETs,"[""287""]",,"[""Arizona State University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4d/d71272727740da88950d59ee55802c/shutterstock_1177573819.jpg,"[""en""]","[""z7V3k2lpSYuDpotDmZC0Xg""]",electrical-characterization-mosfets,[],,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",Cga_aXSbEeyF8hLCYR41HQ,v2.ondemand,"Ecology is all about connections. In this course, we’ll see how interdependent every living thing is and how people are impacting the natural world. Like all sciences, ecology isn’t just a list of known facts– it’s also a process. I love telling stories, and I’ve included many stories about how we’ve come to know what we know about ecology through observations and experiments.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}]","[""85547606""]","[""Scott Solomon""]",BEGINNER,Introduction to Biology: Ecology,"[""13""]",http://coursera-university-assets.s3.amazonaws.com/f5/f983fc330847ecae8a5b6f93162c1b/Rice-Logo_Updated_Cropped_200x48.png,"[""Rice University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d6/328977cb0343b8bcbc40c62632c9e3/Ecology-Course-Photo.jpg,"[""en""]","[""eBVhoHScEeyYUhI6nlNsuQ""]",introduction-to-biology-ecology,[],"4 weeks of study, 3-5 hours/week",LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",kPVg0fKPEe-lDA7RWcxbZw,v2.ondemand,"Welcome to the "" Analysis of Shallow Foundation"" course! In Module 1, we delve into various foundation types, aiding learners in appropriate selection based on project requirements, featuring a real-time case study for practical application. Additionally, participants will explore shallow foundations, gaining insights into their types, advantages, and limitations. Moving on to Module 2, we focus on understanding design prerequisites for shallow foundations on both soil and rock. Learners will gather essential details for bearing capacity calculations, drawing from various field test results, and analyze settlements in cohesive and cohesionless soils. Module 3 equips participants with proficiency in designing raft foundations, enhancing comprehension of associated construction procedures. This includes exploration of various footings and rafts, elucidating their specific applications. Participants will also gain practical experience using PLAXIS 2D software for settlement and bearing capacity analysis. Lastly, in Module 4, we explore special foundations, emphasizing practical applications and understanding the Modulus of Subgrade Reaction. Participants will develop skills to design grade slabs catering to various loading scenarios. Join us in this comprehensive journey into Shallow Foundation Analysis!
To Learners:
To enhance the learning experience, participants are encouraged to actively engage with the course on a weekly basis. Regularly revisiting topics will contribute to improved clarity and understanding.
Quizzes and assignments have been deliberately designed to assess learners' understanding. In cases where information recall is challenging, the option to revisit content for a clearer understanding is readily accessible. Supplementary reading materials are provided to complement the course, offering additional information and in-depth analysis. Learners are encouraged to explore these resources as they address practical aspects and real industry cases.
Active participation in the discussion forum is strongly encouraged. Engaging with peers fosters the exchange of ideas and perspectives, creating a collaborative learning environment. Interacting with peers is invaluable for validating and reinforcing learning.
The course has been intricately crafted and presented by professionals possessing extensive industry expertise. This offers an excellent opportunity to gain insights from seasoned masters.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""113266557""]","[""Subject Matter Expert""]",ADVANCED,Analysis of Shallow Foundation,"[""1160""]",http://coursera-university-assets.s3.amazonaws.com/e2/c8cb83a8ae441f8cc0ff5aeb7c8980/EduTech-Master-logo-2021-dimensions.png,"[""L&T EduTech""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/28/7b57f600cc4317b8ec41ca0e673ced/image-1-.jpg,"[""en""]","[""1Ijl2E--QSKSHR8rnMVJJg""]",analysis-of-shallow-foundation,[],,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",F6QE0V2oEfGSUhJ6cgjSsQ,v2.ondemand,"Industrial Hygiene and Incident Management is a comprehensive course designed to help learners create safer, healthier, and more productive workplaces. The course provides practical knowledge of occupational hygiene, workplace ergonomics, safety in design, and incident investigation methodologies used across industrial sectors. Learners will understand how environmental factors such as noise, vibration, illumination, ventilation, heat stress, cold stress, radiation, workplace violence, and substance abuse can impact worker health and safety. The course also explores ergonomic principles, manual material handling, workstation design, musculoskeletal disorders, ergonomic assessment tools, and risk control measures. In addition, learners will gain insights into Safety in Design concepts, including safe plant layouts, equipment design and electrical safety. The course concludes with incident investigation and root cause analysis techniques such as 5 Why Analysis, Fishbone Analysis, Failure Mode and Effects Analysis (FMEA), and Fault Tree Analysis (FTA), enabling learners to identify causes of incidents and implement preventive actions. Through practical examples and industry applications, this course equips learners with essential skills to improve workplace health, safety, and operational performance.

Learning Objectives
By the end of this course, learners will be able to:
Identify and evaluate occupational hygiene hazards and their impact on worker health and safety.
Apply ergonomic principles to reduce workplace injuries and improve productivity.
Integrate safety considerations into the design of workplaces, equipment, and industrial systems.
Conduct incident investigations and apply root cause analysis techniques to prevent recurrence.
Implement practical control measures to create safer and healthier work environments.

Target Learners
This course is ideal for:
Engineering students and graduates
Safety professionals and supervisors
Industrial, manufacturing, and construction professionals
Maintenance and project engineers
Occupational health practitioners
Anyone interested in industrial hygiene, ergonomics, and incident management","[{""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""electrical-engineering""}]","[""113266557""]","[""Subject Matter Expert""]",INTERMEDIATE,Industrial Hygiene and Incident Management,"[""1160""]",http://coursera-university-assets.s3.amazonaws.com/e2/c8cb83a8ae441f8cc0ff5aeb7c8980/EduTech-Master-logo-2021-dimensions.png,"[""L&T EduTech""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b0/33b7febca84f34bec49f91841bb597/factory-worker-protective-gear.jpg,"[""en""]","[""g0egGNy4S-6UdmpQXsVSKA""]",industrial-hygiene-and-incident-management,[],4 Weeks,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert""]",8ZbHjRtCEeWBKhJRV_B8Gw,v2.ondemand,"This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science. Attention is drawn to specific opportunities afforded by this new field in accelerating materials development and deployment efforts. A particular emphasis is placed on materials exhibiting hierarchical internal structures spanning multiple length/structure scales and the impediments involved in establishing invertible process-structure-property (PSP) linkages for these materials. More specifically, it is argued that modern data sciences (including advanced statistics, dimensionality reduction, and formulation of metamodels) and innovative cyberinfrastructure tools (including integration platforms, databases, and customized tools for enhancement of collaborations among cross-disciplinary team members) are likely to play a critical and pivotal role in addressing the above challenges.","[{""subdomainId"": ""chemistry"", ""domainId"": ""physical-science-and-engineering""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""12515595""]","[""Dr. Surya Kalidindi""]",INTERMEDIATE,Materials Data Sciences and Informatics,"[""9""]",https://coursera-university-assets.s3.amazonaws.com/c4/4371496c5361191aa6a9721cfbe1cf/Georgia-Institute-of-Technology.png,"[""Georgia Institute of Technology""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c2/cd27a034c711e6a4780919edd2fc21/MaterialsDataScienceInformatics.jpg,"[""en""]",[],material-informatics,[],"5 weeks of study, 2-3 hours/week",LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert""]",QRDjcWLVEeWFkQ7sUCFGVQ,v2.ondemand,The Origins course tracks the origin of all things – from the Big Bang to the origin of the Solar System and the Earth. The course follows the evolution of life on our planet through deep geological time to present life forms.,"[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""physics-and-astronomy""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}]","[""2428255"", ""5970141"", ""10165456"", ""10165347"", ""10165330"", ""10165304"", ""10165281"", ""10165255"", ""10165237"", ""10165197"", ""10165169"", ""10165131"", ""10165094"", ""10165080"", ""10165069"", ""10165045"", ""10165012""]","[""Henning Haack"", ""James Connelly"", ""Vivi Vajda"", ""Jon Fjeldså"", ""Thomas Gilbert"", ""Michael Houmark-Nielsen"", ""Bent Erik Kramer Lindow"", ""Gilles Guy Roger Cuny"", ""Ole Seberg"", ""Gitte Petersen"", ""Tais Wittchen Dahl"", ""Arne Thorshøj Nielsen"", ""Martin Vinther Sørensen"", ""Svend Stouge"", ""Danny Eibye Jacobsen"", ""Jan Audun Rasmussen"", ""Emily Catherine Pope""]",,"Origins - Formation of the Universe, Solar System, Earth and Life","[""63""]",http://coursera-university-assets.s3.amazonaws.com/bb/c1f0d9ca974b40b6786ff372e935e5/UCPH_wide_marketing_200_48px.png,"[""University of Copenhagen""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/54/5f94f0912011e6b11e434ea19b5ed2/origins_175x175.jpg,"[""en""]",[],origins-universe-solarsystem,[],5-7 hours/week,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",uNagT_QCEe-i_Q7iZHJb8w,v2.ondemand,"Unlock Your Potential in Environmental Project Management.

Are you ready to excel in leading complex environmental projects and drive sustainable outcomes? This course is designed to equip you with cutting-edge adaptive management practices and leadership skills essential for navigating distributed environments and tackling intricate environmental challenges.

Empowering Team Members and Stakeholders

Through this course, you will learn how to empower team members closest to the work by fostering decision-making and ownership, ensuring every stakeholder plays a vital role in co-producing sustainable solutions. You will explore strategies to build and facilitate great partnerships, from assembling high-performing teams to establishing motivation, framing purpose, and creating psychological safety that amplifies collaboration and mitigates risks during project execution.

Adaptive Management Across Environmental Sectors

Whether your focus is on climate change, ecological systems, biodiversity, land management, international development, natural resource management, water resources, or wetland protection, adaptive management and stakeholder engagement are central to achieving impactful results. This course emphasizes trust-building across diverse teams and provides actionable insights into implementing interventions and iterative feedback loops to align efforts and achieve shared goals.

Strategic Management Frameworks

You will gain expertise in establishing clear management processes and strategic execution frameworks that enhance decision-making at all levels. Learn how to apply management strategies such as Objectives and Key Results (OKRs), agile team design, and adaptive execution frameworks to coordinate efforts effectively without dictating direction. These approaches foster feedback, strengthen partnerships, and encourage participatory adaptive management.

Real-World Case Studies

The course culminates with an in-depth case study on the Chesapeake Bay watershed and sustainability. Dive into real-world examples of adaptive management in action, including the Chesapeake fisheries, to understand water quality, regulatory impacts, and the success of active adaptive management. These lessons will empower you to model adaptive management practices for your own environmental projects, influencing future management, fostering healthy ecosystems, and driving sustainability.

Join the Journey to Leadership in environmental project management and make a lasting impact on the world.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}]","[""78853749""]","[""John Johnson""]",BEGINNER,Co-Production in Adaptive Environmental Management,"[""32""]",http://coursera-university-assets.s3.amazonaws.com/9b/d0628a6fff48e0ab8d267da710e8ba/Coursera_UMDInformal_360x360-neww.png,"[""University of Maryland, College Park""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d5/850ac01638455781a30e3db286f860/EVPM-03-Coursera_Logo_1200x1200_TEMPLATE.png,"[""en""]","[""3jEzkrwGT7KBulzrwb6SlA""]",co-production-in-adaptive-environmental-management,[]," 5 weeks, 3-5 hours a week",LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",JfD2hYNvEeyg9hKH5WRuwQ,v2.ondemand,"This course is devoted to beginners and practitioners of Big Data and AI fields. It will be a quick overview of some basic concepts that could be further elaborated by professionals. Ranging from CAP theorem to Turing assumption, we will provide a starting guide for diving in these fascinating topics.","[{""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""101519067""]","[""Elio Masciari""]",BEGINNER,A quick tour on Big Data and Business Intelligence,"[""619""]",http://coursera-university-assets.s3.amazonaws.com/75/8814b2dff94724a44b3a28257ff33a/wide-logo-for-marketing.png,"[""Università di Napoli Federico II""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bd/6e40e5a12a4731826970ef35b9f4de/Quick-tour-on-big-data_300x300.jpg,"[""en""]","[""IKg_FEINSmqxt0uMnS1bMg""]",big-data-business-intelligence,[],4 weeks,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",ArePsB1SEeu6LRJwytZjjQ,v2.ondemand,"Renewable energy is one of the fastest growing industries on the planet, with billions of dollars invested each year to meet international energy sustainability goals. This course will provide you with a solid foundation for understanding and deploying important renewable energy technologies such as wind and solar.  In addition, you will come away with a good understanding of important energy storage technologies such as pumped hydro, batteries, and hydrogen.  

Upon completing the course, you will be conversant with the opportunities and challenges of renewable energy technologies.  You will be comfortable participating in debates and making decisions regarding these technologies. And the knowledge you gain will be foundational for further study of renewable power systems, renewable energy projects, and forecasts for the future of renewable energy.  We hope you will join us on our journey!

This course is the first in a four-course Coursera specialization in Renewable Energy.
•	Renewable Energy Technology Fundamentals
•	Renewable Power & Electricity Systems
•	Renewable Energy Projects
•	Renewable Energy Futures

Course logo image credit: ""Wind Turbine"" icon courtesy of Vectors Point from the Noun Project.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""11591613""]","[""Stephen R. Lawrence""]",BEGINNER,Renewable Energy Technology Fundamentals,"[""71""]",http://coursera-university-assets.s3.amazonaws.com/e1/d25de6c2be4186a8884c35a4284184/Boulder-FL.png,"[""University of Colorado Boulder""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d8/56c132b81e4557a466a422282a7699/logo8_fundamentals.png,"[""en""]","[""Am7GPB1SEeuKGg4E-brRrw""]",renewable-energy-technology-fundamentals,[],about three hours a week for five weeks,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",Tr2f-am1EfCZ0RJy-KWDlw,v2.ondemand,"Build a strong foundation in biological sciences—from molecular mechanisms to complex physiological systems. This course covers essential concepts in cell biology, genetics, and human anatomy, providing practical frameworks to explore life processes through scientific inquiry and experimentation.

Learn to apply the scientific method, understand cellular structures and energy transformations, and master genetic principles from Mendelian inheritance to epigenetics. Explore biotechnology applications such as recombinant DNA, genetic engineering, and cloning that drive modern medicine and research. Study human systems—circulatory, respiratory, digestive, nervous, endocrine, immune, and reproductive—to see how they maintain homeostasis and adapt to change.

Gain expertise in cell division, cancer biology, and immune defenses. Whether you aim for a career in medicine, health sciences, biotechnology, or research, this course equips you with the biological knowledge and analytical skills needed to understand and solve challenges at molecular, cellular, and organismal levels.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""research-methods""}]","[""185774601""]","[""BITS Pilani Instructors Group""]",BEGINNER,General Biology,"[""134""]",http://coursera-university-assets.s3.amazonaws.com/f2/0adc01487041f99b4887dbca221f11/3.-Wide-logo-for-marketing-purposes.png,"[""Birla Institute of Technology & Science, Pilani""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d3/438eeb06e44786a68f8d44ea770cbc/nat1.png,"[""en""]",[],general-biology-odc,[],,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",yzOo-BdlEe6WiA6HBTk5nQ,v2.ondemand,"Welcome to Climate Resilience and Urban Sustainability, the first course in the Building Sustainable Cities Specialization. By completing Climate Resilience and Urban Sustainability, you will gain the ability to apply a comprehensive toolkit of case studies to address urban resilience and sustainability. You  will be empowered to create and advocate for policy, technological, and other changes aimed at improving these outcomes within their communities. You will also develop the skills to analyze and understand the origins, causes, and consequences of current sustainability and resilience challenges.

You will benefit from a deeper understanding of the challenges cities face today, particularly in the context of global climate change and social equity. The course provides insights into the history of land use and urban development in the United States, highlighting the rise of automobile dependence and the impact of fossil fuels. It also explores the policies and politics that contribute to unsustainable development patterns.

What makes this course unique is its focus on practical application. Through quizzes and real-world examples, you will engage with topics such as urban heat, flood risk, and climate costs, gaining the knowledge needed to identify and address these issues in your own community. The course also covers innovative planning frameworks like New Urbanism and Smart Growth, offering you a forward-thinking approach to urban development.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""132420873"", ""132441195""]","[""William Shutkin"", ""Shane Casey""]",BEGINNER,Climate Resilience and Urban Sustainability,"[""71""]",http://coursera-university-assets.s3.amazonaws.com/e1/d25de6c2be4186a8884c35a4284184/Boulder-FL.png,"[""University of Colorado Boulder""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3d/73b098d91249689e7fe3d6e51e32b9/C1-Logo.jpg,"[""en""]","[""-CwXgtP-SIq3-4Zk1iQaAw""]",climate-resilience-and-urban-sustainability,[],"4 weeks of study, 4-5 hours/week",LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",1GXHYDOGEfGU-w4NDK7Thw,v2.ondemand,"In the trades, your technical skill is only half of the equation; the way you present yourself often dictates how much a customer trusts your work before you even pick up a tool. This course is designed to help tradespeople bridge the gap between technical expertise and professional presentation. You will explore why a polished image is a critical asset for building long-term success in the field.

By completing this course, you will learn to leverage your image as a tool for career growth, ensuring that your first impression is as solid as your craftsmanship. You'll gain a competitive edge by mastering the soft skills that turn one-time service calls into lifelong client relationships.","[{""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""electrical-engineering""}]","[""209588799""]","[""Interplay Learning""]",BEGINNER,Maintaining a Professional Image in Trades,"[""4588""]",http://coursera-university-assets.s3.amazonaws.com/d8/07b337cd2a4f2b8ee86cafa27b3ad2/200x48.png,"[""Interplay Learning""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8a/949127a4e84718b25e5df385bf1265/maintainingaprofessionalimage-1-.jpg,"[""en""]","[""J1s_Q0v5TC2sTXfVigwJfw""]",professional-image-trades,[],,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",APP6hYtvEeizIxKXmUKATg,v2.ondemand,"This course can also be taken for academic credit as ECEA 5316, part of CU Boulder’s Master of Science in Electrical Engineering degree.

This course provides an in-depth and full mathematical derivation and review of models for scheduling policies and feasibility determination by hand and with rate monotonic tools along with comparison to actual performance for real-time scheduled threads running on a native Linux system. By the end of this course the learner will be able to full derive the fixed priority rate monotonic least upper bound for feasibility as well as justifying the rate monotonic policy and will be able to compare to dynamic priority scheduling including earliest deadline first and least laxity policies. 

At the end of this course learners will be able to fully derive and explain the math model for the rate monotonic least upper bound as well as performing timing diagram analysis for fixed and dynamic priority software services.  Tools to provide analysis will be learned (Cheddar) to automate timing analysis and to compare to actual performance.

Specific objectives include:
●	Rate monotonic theory (complete math models)
●	Differences between fixed priority rate monotonic policy and dynamic priority earliest deadline first and least laxity policies
●	Scheduling theory and practice writing code for multi-frequency executives, priority preemptive RTOS services, and real-time threaded services on traditional operating systems (Linux)
●	Building a simple Linux multi-service system using POSIX real-time extensions on Raspberry Pi 3b using sequencing and methods to log and verify agreement between theory and practice
●	Timing diagram generation and analysis using Cheddar

This course includes specific hardware and software requirements. Please review the FAQ below for complete details.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""electrical-engineering""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""35228408""]","[""Sam Siewert ""]",ADVANCED,Real-Time Embedded Systems Theory and Analysis,"[""71""]",http://coursera-university-assets.s3.amazonaws.com/e1/d25de6c2be4186a8884c35a4284184/Boulder-FL.png,"[""University of Colorado Boulder""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/79/0efb5b9b4a4ef6929b4a6458bdb57e/RT-Analysis.png,"[""en""]","[""3RDP-YtuEeixCgp16I3FUg""]",real-time-embedded-theory-analysis,[],50 to 75 hours,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",-cXvYiCmEeqqPwrGvdZXBQ,v2.ondemand,The online course Digitalisation in Aerospace aims at making you aware of special production requirements connected with digitalisation. You will learn about the role of robotics and automation in manufacturing and gain a better understanding of differing perspectives on research and manufacturing as well as the points where these intersect.,"[{""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""72192733"", ""20138940""]","[""Klaus Drechsler"", ""Guenter W. Hein""]",INTERMEDIATE,Digitalisation in the Aerospace Industry,"[""78""]",http://coursera-university-assets.s3.amazonaws.com/60/fd7a1033e14e8fa9a63310809697f6/TUM_Logo_Coursera.png,"[""Technical University of Munich (TUM)""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2a/cdd968d7024ad0b289e18df6086670/iStock-Roboter-Mensch-637295794.jpg,"[""en""]","[""RM8asLB_Eeq8swrFx8pPPQ""]",industry,[],3-4 hours per week for 3 weeks,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert"", ""Specialization""]",mmGvf1SqEe2HYQ674WURew,v2.ondemand,"Batteries and Electric Vehicles: This course will focus on aspects of battery performance in zero emission vehicles, EV charger networks and second life applications of EV batteries, and standards and regulatory requirements.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""electrical-engineering""}]","[""128526422""]","[""Arunachala Nadar Mada Kannan""]",BEGINNER,Batteries and Electric Vehicles,"[""287""]",,"[""Arizona State University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/94/bf5cdc5b38403494f76dd81b485f39/shutterstock_1614773872.jpg,"[""en""]","[""sDvvK1SoEe2-sgp0TmVPoQ""]",batteries-and-electric-vehicles,[],,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert""]",wP6bopzUEeaF3g7NeAQepg,v2.ondemand,"The drive for development of new and novel oral biomaterials has never been more important with many people using oral biomaterials today and seeing their benefits in restoring and improving their oral health for a more enjoyable lifestyle. The unique properties of biomaterials such as titanium (Ti), zirconia (ZrO2) and various polymeric materials have made them materials of choice in oral health: dental implants, oral and maxillofacial surgery, and even regenerative medicine. Oral biomaterials research today is an exciting and intensive multidisciplinary area that encompasses contributions from a wide range of fields from professional dentistry to biology, chemistry, physics, material science, and engineering. 

Materials in Oral Health is a FREE 4-week course open to all interested learners. In the course, you will learn about the special properties and benefits of biomaterials including, titanium and titanium alloys, zirconia and other alloys, ceramics, and modern composites. You will gain insights of the practical use of these biomaterials in different aspects of dentistry and clinical implications. You will realize how contemporary dentistry is about unifying synthetic materials to living tooth and bone tissues. You will get in touch with the crucial roles of digital dentistry and learn about CAD/CAM technology in crown fabrication, 3D printing and digital orthodontics. And lastly, you will be introduced to procedures and testing methods used to test significant mechanical properties of biomaterials in the research laboratory. 

We cordially invite those of you who wish to make a difference in tomorrow’s dental materials and oral health development to join us in the 4-week journey in Materials in Oral Health.

You can get recognition for completion of the course by obtaining a Course Certificate. You can refer to details on: https://learner.coursera.help/hc/en-us/articles/208280196","[{""domainId"": ""life-sciences"", ""subdomainId"": ""basic-science""}, {""subdomainId"": ""chemistry"", ""domainId"": ""physical-science-and-engineering""}]","[""25062171"", ""25062639""]","[""Jukka Pekka Matinlinna"", ""James Kit Hon Tsoi""]",,Materials in Oral Health,"[""235""]",http://coursera-university-assets.s3.amazonaws.com/11/a20960971811e6a491f33132c58544/logo_CE_C.png,"[""The University of Hong Kong""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/87/0d9b30fef411e6b021150cce2a612b/Materials-coursera-logo_Square.jpg,"[""en""]",[],materials-oral-health,[],2-4 hours/week,LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert""]",2FGSGtfIEe-9gA68RiOXQw,v2.ondemand,"This course offers a streamlined approach to university-level calculus, tailored for engineers and scientists. We begin with a review of precalculus in the first module, followed by derivatives and integrals in the second and third modules. The fourth module introduces Taylor series, while the fifth and sixth modules cover important applications of calculus.

The course features 59 concise lecture videos, each accompanied by practice problems. After each major topic, you will find a short practice quiz to reinforce your understanding. Solutions to problems and practice quizzes are included in the instructor-provided lecture notes. At the end of each module, there is an assessed quiz to evaluate your progress. Score over 80% on these quizzes to earn a course certificate.

Download the lecture notes:
https://www.math.hkust.edu.hk/~machas/calculus-for-engineers.pdf

Watch the promotional video:
https://youtu.be/mDuHJos21wo","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}]","[""304770""]","[""Jeffrey R. Chasnov""]",BEGINNER,Calculus for Engineers,"[""35""]",https://coursera-university-assets.s3.amazonaws.com/0a/3251bd0aca5bc1a90512cff8bc36ea/ustLogo.png,"[""The Hong Kong University of Science and Technology""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/68/d69a0b21b64ddda5d00df3647f7eb6/logo-image-7.png,"[""en""]",[],calculus-for-engineers,[],"6 weeks of study, 5 hours/week",LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert""]",At1XBOAAEeWoTg63tTECEQ,v2.ondemand,"What is  fluid-solid interactions  ?  It is what happens when the  motions of a fluid and of a solid are somehow coupled. This happens  all the time,  around you when leaves flutter in the wind,  inside you when your heart beats, above you when wings of a plane vibrate, under the sea... The idea behind this MOOC  is to give you the basic tools to  be able to predict and eventually mitigate   things called  flutter, galloping, sloshing, vortex-induced vibrations, added mass,  to cite a few. 

We are going to consider  any  possible domains of applications  such as civil engineering,  aerospace engineering, nuclear engineering , ocean engineering, biomechanics and even food  processing !

This is why we  called the course “Fundamentals of Fluid Solid Interactions ”. There are so many phenomena and so many models  that  we   need to work together on the basic mechanisms .

If  you want to see how fluid-solid interactions work,  and be able to use that knowledge, join us !

 A first session of the course was run in early 2016, with learners from over 100 countries. It is now  available with subtitles, in English and now in Chinese.

See the  video  at http://goo.gl/YKSMnD","[{""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""environmental-science-and-sustainability""}]","[""10512813"", ""15630275"", ""12595344""]","[""Emmanuel de Langre"", ""Xavier Amandolese"", ""Olivier Doaré""]",INTERMEDIATE,Fundamentals of Fluid-Solid Interactions,"[""66""]",http://coursera-university-assets.s3.amazonaws.com/28/0cf38a7f2b40f2b029ee727645b6b1/Logo-horizontal-Pantone_noborder_h48.png,"[""École Polytechnique""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/98/9fdd20820111e598d24bc0ff32cd58/Logo_FSI3.png,"[""en""]",[],fluid-solid-interaction,[],"6 weeks of study, 3-4 hours/week",LqebyZApm6fW3nQ04,G3gYT3Y7eyh2qzWro
[],"[""VerifiedCert""]",ugSnwH9hEeSiIiIAC3lQMQ,v2.ondemand,"Ders çok değişkenli fonksiyonlardaki iki derslik dizinin ikincisidir. Birinci ders türev ve entegral kavramlarını geliştirmekte ve bu konulardaki problemleri temel çözme yöntemlerini sunmaktadır. Bu ders, birinci derste geliştirilen temeller üzerine daha ileri konuları işlemekte ve daha kapsamlı uygulamalar ve çözümlü örnekler sunmaktadır. Ders gerçek yaşamdan gelen uygulamaları da tanıtmaya önem veren “içerikli yaklaşımla” tasarlanmıştır. 

Bölümler
Bölüm 1: Multivar 1'in Özeti, Dairesel Koordinatlarda Entegraller
Bölüm 2: Türev Uygulamalarından Seçme Konular
Bölüm 3: Çok Değişkenle Zincirleme Türev ve Jakobiyan
Bölüm 4: Uzayda Yüzey ve Hacım Entegralleri
Bölüm 5: Düzlemde Akı Entegralleri
Bölüm 6: Düzlemde Green, Uzayda Stokes ve Green-Gauss Teoremleri
Bölüm 7: Stokes ve Green-Gauss Teoremleri ve Doğanın Korunum Yasaları
-----------
The course is the second of the two course sequence of calculus of multivariable functions. The first course develops the concepts of derivatives and integrals of functions of several variables, and the basic tools for doing the relevant calculations. This course builds on the foundations of the first course and introduces more advanced topics along with more advanced applications and solved problems. The course is designed with a “content-based” approach, i. e. by solving examples, as many as possible from real life situations.

Bölümler
Bölüm 1: Summary of Multivar I, Integral in Circular Coordinates
Bölüm 2: Topics of Derivative Applications
Bölüm 3: Chain Derivatives with Multi Variables and Jacobian
Bölüm 4: Surface and Volume Integrals in Space
Bölüm 5: Flux Integrals in the Plane
Bölüm 6: Green in Plane, Stokes in Space and Green-Gauss Theorems
Bölüm 7:  Stokes and Green-Gauss Theorem and Nature Conservation Laws
-----------
Kaynak: Attila Aşkar, “Çok değişkenli fonksiyonlarda türev ve entegral”. Bu kitap dört ciltlik dizinin ikinci cildidir. Dizinin diğer kitapları Cilt 1 “Tek değişkenli fonksiyonlarda türev ve entegral”, Cilt 3: “Doğrusal cebir” ve Cilt 4: “Diferansiyel denklemler” dir.

Source: Attila Aşkar, Calculus of Multivariable Functions, Volume 2 of the set of Vol1: Calculus of Single Variable Functions, Volume 3: Linear Algebra and Volume 4: Differential Equations. All available online starting on January 6, 2014","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""3575896""]","[""Attila Aşkar""]",,Çok değişkenli Fonksiyon II: Uygulamalar / Multivariable Calculus II: Applications,"[""182""]",http://coursera-university-assets.s3.amazonaws.com/67/b585652d6a4dfb91c78e43ce1c10c2/KocUniversitesi_Horizontal_CMYK.png,"[""Koç University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/aa/238cb0ae7511e38cf97bde89f9f3a9/MultivarLogo250Finallogo1.png,"[""tr""]",[],calculus-diferansiyel-hesap,[],9 hours per module,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert"", ""Specialization""]",8i2SyPvsEe2-pgqew4M3vw,v2.ondemand,"This course is best suited for individuals who have a technical background in mathematics/statistics/computer science/engineering pursuing a career change to jobs or industries that are data-driven such as finance, retain, tech, healthcare, government and many more. The opportunity is endless.  

This course is part of the Performance Based Admission courses for the Data Science program.  

This course will focus on getting you acquainted with the basic ideas behind regression, it provides you with an overview of the basic techniques in regression such as simple and multiple linear regression, and the use of categorical variables.  

Software Requirements: R

Upon successful completion of this course, you will be able to: 

- Describe the assumptions of the linear regression models. 
- Compute the least squares estimators using R.
- Describe the properties of the least squares estimators.
- Use R to fit a linear regression model to a given data set.
- Interpret and draw conclusions on the linear regression model.
- Use R to perform statistical inference based on the regression models.","[{""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""42651162""]","[""Kiah Ong""]",INTERMEDIATE,Linear Regression,"[""1451""]",http://coursera-university-assets.s3.amazonaws.com/66/99e007fc38456eab469171088e0d31/ILTECH_200x48.png,"[""Illinois Tech""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b8/f8706e1dfc4d4b9edbf239b90d4579/data-sci-1.jpg,"[""en""]","[""nyYNMWSSQ6OJq9nOXi0Biw""]",illinois-tech-linear-regression,[],,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert"", ""Specialization""]",qRzsCVEUEeeF5RIYZYolcA,v2.ondemand,"Welcome to Asymmetric Cryptography and Key Management! 

In asymmetric cryptography or public-key cryptography, the sender and the receiver use a pair of public-private keys, as opposed to the same symmetric key, and therefore their cryptographic operations are asymmetric. This course will first review the principles of asymmetric cryptography and describe how the use of the pair of keys can provide different security properties. Then, we will study the popular asymmetric schemes in the RSA cipher algorithm and the Diffie-Hellman Key Exchange protocol and learn how and why they work to secure communications/access. Lastly, we will discuss the key distribution and management for both symmetric keys and public keys and describe the important concepts in public-key distribution such as public-key authority, digital certificate, and public-key infrastructure. This course also describes some mathematical concepts, e.g., prime factorization and discrete logarithm, which become the bases for the security of asymmetric primitives, and working knowledge of discrete mathematics will be helpful for taking this course; the Symmetric Cryptography course (recommended to be taken before this course) also discusses modulo arithmetic.

This course is cross-listed and is a part of the two specializations, the Applied Cryptography specialization and the Introduction to Applied Cryptography specialization.","[{""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""1911301""]","[""Sang-Yoon Chang""]",INTERMEDIATE,Asymmetric Cryptography and Key Management,"[""126""]",http://coursera-university-assets.s3.amazonaws.com/94/45ab9b6dc849e29a9697ebb3227dd2/cu_standard_no-campus.png,"[""University of Colorado System""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/52/a2f9c7b3de4ea0b959febab987f1eb/Asymmetric-Cryptography-and-Key-Management.png,"[""en""]","[""lW5uSbmFEeaZNQpqL5DGPA"", ""pt2O6LmHEeagHg7Ibwo6Jg""]",asymmetric-crypto,[],2-5 hours/week,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert""]",DExXWx6TEe-PPwr_wwAp2Q,v2.ondemand,"This course covers practical algorithms and the theory for machine learning from a variety of perspectives. Topics include supervised learning (generative, discriminative learning, parametric, non-parametric learning, deep neural networks, support vector Machines), unsupervised learning (clustering, dimensionality reduction, kernel methods). The course will also discuss recent applications of machine learning, such as computer vision, data mining, natural language processing, speech recognition and robotics. Students will learn the implementation of selected machine learning algorithms via python and PyTorch.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""141976269""]","[""Qurat-ul-Ain Azim""]",INTERMEDIATE,Machine Learning for Engineers: Algorithms and Applications,"[""517""]",http://coursera-university-assets.s3.amazonaws.com/5b/34d2acc0544ec39e8798c54cfaf34c/Monogram-Wordmark_RGB_186-K_courseracropped.png,"[""Northeastern University ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ab/3d763a6f3f4b98857286884a106f48/MSIS-Coursera-Course-Card-1-.png,"[""en""]",[],machinelearning-for-engineers--algorithmsandapplications,[],2-5 hours/week,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert"", ""Specialization""]",efoByQBKEeyqpRL9ChOPjQ,v2.ondemand,"Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will provide an intuitive understanding of foundational integral calculus, including integration by parts, area under a curve, and integral computation. It will also cover root-finding methods, matrix decomposition, and partial derivatives.

This course is designed to prepare learners to successfully complete Statistical Modeling for Data Science Application, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program. 

Logo courtesy of  ThisisEngineering RAEng on Unsplash.com","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""88777397"", ""79217312""]","[""James Bird"", ""Jane Wall""]",INTERMEDIATE,Integral Calculus and Numerical Analysis for Data Science,"[""71""]",http://coursera-university-assets.s3.amazonaws.com/e1/d25de6c2be4186a8884c35a4284184/Boulder-FL.png,"[""University of Colorado Boulder""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6e/1333451be945fd8186863c752cfcb0/thisisengineering-raeng-fgdmH3iqvMw-unsplash-1-.jpg,"[""en""]","[""jBu0BfRiEeua7RJfZAJB_w""]",integral-calculus-and-numerical-analysis-for-data-science,[],4 weeks of study,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert"", ""Specialization""]",meDrevxaEeeNyA6Y57g_sA,v2.ondemand,"Mathematics for Computer Science course is designed to give you part of the mathematical foundations needed to work in computer science in any of its strands, from business to visual digital arts, music, games. At any stage of the problem solving and modelling stage you will require numerical and computational tools. We get you started in binary and other number bases, some tools to make sense of sequences of numbers, how to represent space numerical using coordinates, how to study variations of quantities via functions and their graphs. For this we prepared computing and everyday life problems for you to solve using these tools, from sending secret messages to designing computer graphics. 

If you wish to take it further you can join the University of London's  BSc Computer Science degree and complete the full module ‘Numerical Mathematics’. 

Enjoy!","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}]","[""48985661"", ""1960981""]","[""Omar Karakchi"", ""Professor Matthew Yee-King""]",BEGINNER,Mathematics for Computer Science,"[""26"", ""303""]",http://coursera-university-assets.s3.amazonaws.com/64/897490dbba11e891a84769f318bf74/1-Colour-Logo-Black-Text-CMYK.png,"[""University of London"", ""Goldsmiths, University of London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/91/5c7640f87811e8bad48363a367230f/3657_UoL_Online-BSc-Computer-Science-Programme_MOOC-Icons_Mathematics_05.jpg,"[""en""]","[""qmHY9vgZEeiDYhLHKCj5Bg""]",mathematics-for-computer-science,[],,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert"", ""Specialization""]",UjK_Gol9EfCTCQ7va5w3pQ,v2.ondemand,"Logic forms the backbone of computer science, providing the language and methods for precise reasoning, rigorous analysis, and formal proof. Logic and Reasoning for Computing equips learners with essential tools to represent statements, analyse arguments, and verify correctness. Across four modules—Propositional Logic, Predicate Logic, Boolean Algebra, and Proof Techniques—you will build a solid foundation in formal reasoning and connect abstract concepts directly to computing practice. You’ll explore truth tables, quantifiers, Boolean operations, and methods of proof, applying them to areas such as programming, digital circuits, and algorithm verification. By the end of this course, you’ll not only be able to reason critically and communicate arguments clearly, but also have the confidence to apply logical structures to both theoretical and practical problems in computer science.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""48985661""]","[""Omar Karakchi""]",INTERMEDIATE,Logic and Reasoning for Computing,"[""26"", ""303""]",http://coursera-university-assets.s3.amazonaws.com/64/897490dbba11e891a84769f318bf74/1-Colour-Logo-Black-Text-CMYK.png,"[""University of London"", ""Goldsmiths, University of London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a1/ab1e81233b4c6f80185c978650dafa/Math-Course-4.png,"[""en""]","[""E_XdkdeaTOS9LEI_TUtAkg""]",logic-and-reasoning-for-computing,[],,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert"", ""Specialization""]",c965gaJoEfCIRwr_4Lk1ww,v2.ondemand,"Master the mathematical and computational foundations of graph theory and network analysis in this comprehensive course for problem-solvers and analytical thinkers. Explore how graphs model real-world systems—such as social networks, transportation grids, communication systems, and biological pathways. Begin with core concepts like graph properties, connectivity, and planarity, then advance to topics like graph coloring, matching algorithms, network flows, and optimization. Learn to design efficient algorithms, analyze centrality measures, compute maximum flows, and solve minimal cost flow problems. Through mathematical rigor and practical application, you’ll develop both theoretical insight and hands-on problem-solving skills. Applications span scheduling, frequency assignment, image processing, artificial intelligence, and machine learning. Ideal for aspiring researchers, data scientists, and network engineers, this course equips you with essential tools to analyze, optimize, and visualize interconnected systems across diverse domains.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""185774601""]","[""BITS Pilani Instructors Group""]",INTERMEDIATE,Graphs and Networks,"[""134""]",http://coursera-university-assets.s3.amazonaws.com/f2/0adc01487041f99b4887dbca221f11/3.-Wide-logo-for-marketing-purposes.png,"[""Birla Institute of Technology & Science, Pilani""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/38/b6c92e74eb4033bb8c9df2fbe52308/CN1.png,"[""en""]",[],odc-graphs-and-networks,[],"10 weeks of Study, 8 hours/week",RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert""]",C-MxyKXkEe-syBKvuiDv_w,v2.ondemand,"This course will guide you through the essential principles of algorithms and their significance in computational problem-solving. You'll begin by exploring what an algorithm is, its core characteristics, and how it applies to real-world scenarios—from simple everyday tasks to complex computing challenges. As you progress, you will learn about the critical role algorithms play in improving efficiency and scalability across various fields. We’ll break down key concepts such as algorithmic complexity, helping you evaluate the efficiency of different approaches, which will ultimately guide your decision-making.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""159813864""]","[""Nicholas Brown""]",,Data Structures & Algos: Software Development Skills,"[""517""]",http://coursera-university-assets.s3.amazonaws.com/5b/34d2acc0544ec39e8798c54cfaf34c/Monogram-Wordmark_RGB_186-K_courseracropped.png,"[""Northeastern University ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3a/107d6085084224841b0a2fd60c9faa/MSIS-Coursera-Course-Card-2-.png,"[""en""]",[],data-structures--algos-software-development-skills,[],,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert""]",PwuYBQZREeW5gyIACwQVNg,v2.ondemand,"This course provides an introduction to complex analysis which is the theory of complex functions of a complex variable. We will start by introducing the complex plane, along with the algebra and geometry of complex numbers, and then we will make our way via differentiation, integration, complex dynamics, power series representation and Laurent series into territories at the edge of what is known today. Each module consists of five video lectures with embedded quizzes, followed by an electronically graded homework assignment.  Additionally, modules 1, 3, and 5 also contain a peer assessment. 
 
The homework assignments will require time to think through and practice the concepts discussed in the lectures. In fact, a significant amount of your learning will happen while completing the homework assignments. These assignments are not meant to be completed quickly; rather you'll need paper and pen with you to work through the questions. In total, we expect that the course will take 6-12 hours of work per module, depending on your background.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""3491158""]","[""Dr. Petra Bonfert-Taylor""]",INTERMEDIATE,Introduction to Complex Analysis,"[""34""]",http://coursera-university-assets.s3.amazonaws.com/a6/ab4828ba3240b3b3b96dc0bbf6abf7/Logo200x48.png,"[""Wesleyan University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/06/010f1043a0b6efc7ca3272d419b56f/Slide1.jpg,"[""en""]",[],complex-analysis,[],"8 weeks of study, 6-12 hours/week",RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert""]",cGtJAsndEfCGDQr_wTYZuQ,v2.ondemand,"Este curso ofrece una revisión fundamental del cálculo diferencial, centrada en funciones y derivadas, con ejemplos y aplicaciones prácticas. Nuestro propósito es ofrecer una base sólida sobre funciones y derivadas, junto con sus aplicaciones, que sirva como refuerzo y acompañamiento académico para el estudiante. Está pensado como apoyo académico para estudiantes de ingeniería y grados con matemáticas.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""192722954""]","[""Santiago Moll Lopez""]",BEGINNER,Bases Matemáticas: Derivadas,"[""3603""]",http://coursera-university-assets.s3.amazonaws.com/84/66b4001040421498085b14ca9fa0cc/upv200.png,"[""Universitat Politècnica de València""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ed/f5d1ecd76e4da39dcaff6edcb9d103/esta-1.png,"[""es""]",[],bases-matematicas-derivadas,[],"5 semanas, 4 - 5 horas por semana",RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert"", ""Specialization""]",rO7rRJdAEeir-RIKs5gHUA,v2.ondemand,"The Automated Reasoning: Symbolic Model Checking course presents how the properties of acting systems and programs can be verified automatically. The basic notion is a transition system: any system that can be described by states and steps. We present how in CTL (computation tree logic) properties like reach-ability can be described.

Typically, a state space may be very large. One way to deal with this is symbolic model checking: a way in which sets of states are represented symbolically. A fruitful way to do so is by representing sets of states by BDDs (binary decision diagrams).
Definitions and basic properties of BDDs are presented in this course, and the algorithms to compute them, as needed for doing CTL model checking.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""20992838""]","[""Hans Zantema""]",INTERMEDIATE,Automated Reasoning: Symbolic Model Checking,"[""253""]",http://coursera-university-assets.s3.amazonaws.com/d7/340a3f560e4f1a95f78448fa3e1694/Logo_landscape.png,"[""28DIGITAL""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/75/9c3c706cd14d439ea7b35cccc95a26/Automated-Reasoning_-Symbolic-Model-Checking.jpg,"[""en""]",[],automated-reasoning-symbolic-model-checking,[],,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert""]",sOw4Q2QxEe64Ug5N_Fbraw,v2.ondemand,"Build your statistics and probability expertise with this short course from the University of Leeds.

The first week introduces you to statistics as the art and science of learning from data. Through multiple real-life examples, you will explore the differences between data and information, discovering the necessity of statistical models for obtaining objective and reliable inferences. You will consider the meaning of ""unbiased"" data collection, reflecting on the role of randomization. Exploring various examples of data misrepresentation, misconception, or incompleteness will help develop your statistical intuition and good practice skills, including peer review.

In the second week, you will learn and practice R software skills in RStudio for exploratory data analysis, creating graphical and numerical summaries. The final week will involve completing probability experiments and computer simulations of binomial trials, such as tossing a coin or rolling a die. This will help you develop an intuitive concept of probability, encompassing both frequentist and subjective perspectives. Throughout the course, you will acquire vital statistical skills by practicing techniques and software commands and engaging in discussions with fellow students.

By the end of the course, you will be able to:

- Understand and explain the role of statistical models in making inferences from data.
- Implement appropriate tools for numerical and graphical summaries using RStudio, and interpret the results.
- Evaluate the stability of frequencies in computer simulations through experimental justification and ""measurement"" of probability.

No matter your current level of mathematical skill, you will find practical and real-life examples of statistics in action within this course.

This course is a taster of the Online MSc in Data Science (Statistics) but it can be completed by learners who want an introduction to programming and explore the basics of Python.","[{""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""125452811""]","[""Dr Leonid Bogachev""]",INTERMEDIATE,Statistical Methods,"[""459""]",http://coursera-university-assets.s3.amazonaws.com/4e/a76f740a624a19b3ac8129e1d4ff52/UoL_logo_200x48.png,"[""University of Leeds""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e8/56bc3ab1d6429bbc08798d2868fe43/PTS_IMG077.jpg,"[""en""]",[],statistical-methods,[],"3 weeks of study, 2-3 hours/week",RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""Specialization""]",7oQkdp81EeeMNA6V0QN2ag,v2.ondemand,"Discrete Optimization aims to make good decisions when we have many possibilities to choose from. Its applications are ubiquitous throughout our society. Its applications range from solving Sudoku puzzles to arranging seating in a wedding banquet.  The same technology can schedule planes and their crews, coordinate the production of steel, and organize the transportation of iron ore from the mines to the ports. Good decisions on the use of scarce or expensive resources such as staffing and material resources also allow corporations to improve their profit by millions of dollars.  Similar problems also underpin much of our daily lives and are part of determining daily delivery routes for packages, making school timetables, and delivering power to our homes. Despite their fundamental importance, these problems are a nightmare to solve using traditional undergraduate computer science methods.

This course is intended for students who have completed Advanced Modelling for Discrete Optimization.  In this course, you will extend your understanding of how to solve challenging discrete optimization problems by learning more about the solving technologies that are used to solve them, and how a high-level model (written in MiniZinc) is transformed into a form that is executable by these underlying solvers. By better understanding the actual solving technology, you will both improve your modeling capabilities, and be able to choose the most appropriate solving technology to use.

Watch the course promotional video here: https://www.youtube.com/watch?v=-EiRsK-Rm08","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""15600502"", ""189807274""]","[""Prof. Jimmy Ho Man Lee"", ""Prof. Peter J Stuckey""]",INTERMEDIATE,Solving Algorithms for Discrete Optimization,"[""45""]",https://coursera-university-assets.s3.amazonaws.com/76/39a056b44fa0c1f0e3ed33e2eccfd8/culogo_wide.png,"[""The Chinese University of Hong Kong""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f8/93ebd00acc11e88e4d35912c3961e3/MDO-3-logo.png,"[""en""]",[],solving-algorithms-discrete-optimization,[],"4 weeks of study, 6-12 hours/week",RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert""]",rrCvQ2CfEeaFYA4dzi3AFw,v2.ondemand,"This course gives you an easy introduction to interest rates and related contracts. These include the LIBOR, bonds, forward rate agreements, swaps, interest rate futures, caps, floors, and swaptions. We will learn how to apply the basic tools duration and convexity for managing the interest rate risk of a bond portfolio. We will gain practice in estimating the term structure from market data. We will learn the basic facts from stochastic calculus that will enable you to engineer a large variety of stochastic interest rate models. In this context, we will also review the arbitrage pricing theorem that provides the foundation for pricing financial derivatives. We will also cover the industry standard Black and Bachelier formulas for pricing caps, floors, and swaptions.

At the end of this course you will know how to calibrate an interest rate model to market data and how to price interest rate derivatives.","[{""subdomainId"": ""finance"", ""domainId"": ""business""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""11861634""]","[""Damir Filipović""]",ADVANCED,Interest Rate Models,"[""16""]",http://coursera-university-assets.s3.amazonaws.com/9f/ef20ba7f7f457db079ed5231bde306/EPFL-Logo-200-48.png,"[""École Polytechnique Fédérale de Lausanne""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/29/9834a062f111e6b551ffcefd40a275/InterestRates5b.jpg,"[""en""]",[],interest-rate-models,[],"5 weeks of study, 6 hours per week",RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert"", ""Specialization""]",q5fOUZwHEe2L_wpgKckryw,v2.ondemand,"Spacecraft relative motion control has many applications including rendezvous and docking, circumnavigation, on orbit assembly, servicing, etc.  The course Spacecraft Relative Motion Kinematics and Kinetics covers the fundamentals of describing the motion of one spacecraft as seen by another spacecraft.  A range of relative coordinates are investigated.  Further, the course covers developing the differential equations of motion of the relative motion and considers a range of assumptions on separation distances.  Finally, the impact of the J2 perturbation on the relative motion is studied.

After this course, you will be able to...

* Describe relative motion using rectilinear or curvilinear Hill frame coordinates, using relative orbit elements, as well as using differential orbit elements.
* Develop the differential equations of relative motion for both near circular and highly elliptical chief motions
* Predict the impact of perturbations on the relative motion
* Understand how to setup relative orbits that remain bounded to the chief.

Please note: this is an advanced course, best suited for working engineers or students with college-level knowledge in mathematics and physics.

The material covered is taking from the book  ""Analytical Mechanics of Space Systems"" available at https://arc.aiaa.org/doi/book/10.2514/4.105210.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""physics-and-astronomy""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""21988949""]","[""Hanspeter Schaub""]",ADVANCED,Spacecraft Relative Motion Kinematics and Kinetics,"[""71""]",http://coursera-university-assets.s3.amazonaws.com/e1/d25de6c2be4186a8884c35a4284184/Boulder-FL.png,"[""University of Colorado Boulder""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/38/dfb37110d14c7ab37a2b82979f60ba/icon-Logo.jpg,"[""en""]","[""ewToKdYpSF2VaCE8y26bUQ""]",spacecraft-relative-motion-kinematics-and-kinetics,[],"Best completed in 8 weeks, with a commitment of between 4 and 8 hours of work per week.",RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert"", ""Specialization""]",88Q7A4X0Eeupiwq8Pcj9Mw,v2.ondemand,"Operations Research (OR) is a field in which people use mathematical and engineering methods to study optimization problems in Business and Management, Economics, Computer Science, Civil Engineering, Electrical Engineering, etc.
The series of courses consists of three parts, we focus on deterministic optimization techniques, which is a major part of the field of OR.
As the third part of the series, we study mathematical properties of linear programs, integer programs, and nonlinear programs. We also introduce applications of these theoretical properties: How they help us develop better ways to solve mathematical programs.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""4239422""]","[""孔令傑 (Ling-Chieh Kung)""]",ADVANCED,Operations Research (3): Theory,"[""75""]",http://coursera-university-assets.s3.amazonaws.com/ca/1fae86849a421d8aadc224ad843ae0/logo_s.png,"[""National Taiwan University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c4/3a282122f34851bd09b723ce545449/OR3-Ke-Cheng-Tu-Wan-Gao-Ban-Ben2.jpg,"[""en""]","[""di9u2LP8RhCmD9yv7lj5zw""]",operations-research-theory,[],,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert""]",pFHX98SQEeWUVgrPm5MRqw,v2.ondemand,"Este curso provee al estudiante con conceptos y herramientas matemáticas para modelar problemas en física, que al aplicar podrá enfrentar con éxito los cursos de física universitarios.

Así pues, la filosofía de este curso consiste en cubrir temas conceptuales relativos a la Física y desarrollar tu capacidad de aprender y aplicarlos en tu vida profesional.

El curso se aborda en dos fases a través de las cuales el alumno:

- Aprenderá a aplicar el cálculo diferencial e integral para interpretar y modelar la cinemática de una partícula en una dimensión,
- Aprenderá el manejo de cantidades físicas vectoriales en forma gráfica y analítica en dos y tres dimensiones.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""physics-and-astronomy""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""3797221"", ""4360475"", ""3473689""]","[""Dr. Genaro Zavala Enríquez"", ""Ing. Rodolfo Fernández de Lara Hadad"", ""Ing. José Rodrigo  Salmón Folgueras""]",,Conceptos y Herramientas para la Física Universitaria,"[""62""]",https://coursera-university-assets.s3.amazonaws.com/9b/15be10393911e49662495adbabc20c/wide_logo_200x48_tec_transparente.png,"[""Tecnológico de Monterrey""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8d/324fb0d65f11e5a99c3735b1ae3231/_EC6963A16CCDF24A87AABC665319DB0720492F5F6035A64664_pimgpsh_fullsize_distr.png,"[""es""]",[],fisica-universitaria,[],"9 semanas de estudio, 4-5 horas por semana",RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert""]",bU8nHhtHEeWo5g5SXpDA8Q,v2.ondemand,"This course explores the analysis and design of beam bending problems.
Prerequisite Knowledge: You will need to have successfully completed my earlier course “Mechanics of Materials I:  Fundamentals of Stress and Strain and Axial Loading” in order to be successful in this course

-------------------------------------------------
The copyright of all content and materials in this course are owned by either the Georgia Tech Research Corporation or Dr. Wayne Whiteman. By participating in the course or using the content or materials, whether in whole or in part, you agree that you may download and use any content and/or material in this course for your own personal, non-commercial use only in a manner consistent with a student of any academic course. Any other use of the content and materials, including use by other academic universities or entities, is prohibited without express written permission of the Georgia Tech Research Corporation. Interested parties may contact Dr. Wayne Whiteman directly for information regarding the procedure to obtain a non-exclusive license.","[{""subdomainId"": ""mechanical-engineering"", ""domainId"": ""physical-science-and-engineering""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""1900891""]","[""Dr. Wayne Whiteman, PE""]",INTERMEDIATE,Mechanics of Materials III: Beam Bending,"[""9""]",https://coursera-university-assets.s3.amazonaws.com/c4/4371496c5361191aa6a9721cfbe1cf/Georgia-Institute-of-Technology.png,"[""Georgia Institute of Technology""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/3e/a83bc0372111e6a6a20b6ff5b84324/BeamBending.jpg,"[""en""]",[],beam-bending,[],5 weeks of material; 5 to 7 hours per week work for students,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert"", ""Specialization""]",gLR8X80PEe-kvQr__aqmRQ,v2.ondemand,"Para el éxito de la empresa y su maximización de valor, es necesario que el gerente o directivo comprenda de forma clara cuáles son los resultados financieros que implican sus decisiones; para ello, debe contar con un sólido conocimiento de las finanzas empresariales básicas, para tomar las mejores decisiones, que representen mayor rentabilidad y maximización del valor de la empresa. Las finanzas empresariales o corporativas, implican el análisis de los estados financieros de la empresa, es decir, los estados donde se registra, organiza y sistematiza la información contable y financiera de la empresa. En los estados financieros se encuentran plasmadas las principales decisiones financieras de la empresa: las de inversión, financiamiento y política de dividendos; el análisis de los estados financieros implica evaluar si dichas decisiones están orientadas a optimizar el desempeño de la empresa. Además, dado sus limitaciones de recursos, las empresas acuden a los mercados financieros en busca de financiamiento para sus proyectos, para invertir y alcanzar su potencial de crecimiento.

Este curso está desarrollo para que el participante cuente con un sólido conocimiento de las finanzas empresariales básicas y pueda tomar las mejores decisiones, que signifiquen la mayor rentabilidad y maximización del valor de la empresa.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""170320709"", ""170320652""]","[""Ricardo Christian Morales Pelagio"", ""Joel Álvarez Bautista""]",BEGINNER,Principios de Análisis e Instrumento Financieros,"[""1489""]",http://coursera-university-assets.s3.amazonaws.com/b2/712e63a3604218b8ca125b504d359c/Logo-Red-de-Universidades-Anahuac-color-copy.png,"[""Universidades Anáhuac""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/10/6c6f014ec043fba7391acf197e875e/principios_800_800.png,"[""es""]","[""M3syBqW9RBq9rMYhs58Enw""]",principios-de-anlisis-e-instrumento-financieros,[],,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert"", ""Specialization""]",F263hLDmEeqU_BKxEWcVww,v2.ondemand,"This course is designed for professionals interested in learning the principles of  Lean Sigma, the DMAIC process and DFSS. This course is number 8 of 8 in this specialization dealing with topics in Design for Six Sigma

Professionals with some completed coursework in statistics and a desire to drive continuous improvement within their organizations would find this course and the others in this specialization appealing. 

Method of assessment consists of several formative and summative quizzes and a multi-part peer reviewed  project completion regiment.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""71137020"", ""23083415""]","[""Lois A. Jordan"", ""David Cook, PhD""]",,DFSS for the 6 σ Black Belt,"[""123""]",http://coursera-university-assets.s3.amazonaws.com/18/62f229832049dc9e428519d5ff5c55/Medium-rectangle.png,"[""Kennesaw State University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/97/dab2bc23cc491d9007ae20b353c0cf/Square-Course8.png,"[""en""]","[""UT8uhrliEeqguArhbNj7XQ""]",dfssforthesixsigmablackbelt,[],,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert""]",40kvMUsTEe68aRLfH8OQLw,v2.ondemand,"Niçin bu ders: Kalkülüse Hazırlık (Precalculus)?
Tek değişkenli fonksiyonları tanımak bu dersin konusu. Hemen her üniversite programında bir diferansiyel ve entegral hesap dersi var. Bu ders, çok önemli olmasına karşın, dünyada en az sevilen derslerden birisi de bu ders. Kimse dersin önemini inkâr etmiyor, ama ders hem öğrenci açısından hem de öğreticiler açısından sevimsiz bir deneyime dönüşüyor.
Bu dersin amacı: fonksiyonları tanıtmak. Niçin?
Matematik bir dil. Sözel dillerde kelimeleri dilbilgisi kurallarıyla birleştirilerek gözlemleri ve düşünceleri oluşturuyoruz. Matematikte de benzer olarak, dilbilgisinin görevini birbiriyle çelişmeyen kabuller (aksiyomlar / postulatlar), kelimelerin görevini de işlemleri tanımlayan işaretler ve fonksiyonlar sağlıyor. Sözel dillerde en az binlerce kelime gerekirken, matematikte sadece onlarca “kelime” yani fonksiyon yeterli oluyor. Bu açıdan bakınca matematik sözel dillerden daha kolay olmalı...
İşte bu nedenle, matematiğin kelimelerini, yani fonksiyonları tanımak çok önemli. Bu dersin amacı temel fonksiyonları tanıtmak. Bu fonksiyonları iyi bilmeyenler, matematik dilinde ilerlemekte, özel olarak da kalkülüste başarılı olamıyorlar.

Why this course: Precalculus?
Single variable functions are an introduction to calculus. Almost every university program has a course on differential and integral calculus. Although this course is very important, it is also one of the least popular courses in the world. No one denies the importance of the course, but it is not successful both for the students nor for the instructors. As a result, the lesson turns into an unpleasant experience for both the students and the instructors.
The aim of this course is to introduce functions. Why?
Mathematics is a language. In verbal languages, we combine words with grammatical rules to form observations and thoughts. In mathematics too, the task of grammar is to provide non-contradictory assumptions (axioms/postulates), and the task of words is provided by signs and functions that describe operations. While thousands of words are required in verbal languages, only dozens of ""words"" i. e. functions are sufficient in mathematics. From this point of view, mathematics should be easier than verbal languages.
For this reason, it is very important to recognize the functions that make up the words of mathematics. The aim of this course is to introduce the basic functions.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""3575896""]","[""Attila Aşkar""]",BEGINNER,KALKÜLÜS I: HAZIRLIK VE ALTYAPI / CALCULUS I: PRECALCULUS,"[""182""]",http://coursera-university-assets.s3.amazonaws.com/67/b585652d6a4dfb91c78e43ce1c10c2/KocUniversitesi_Horizontal_CMYK.png,"[""Koç University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a4/a1b84b092e4a3c91ed8af8517a32f0/precalculus.webp,"[""tr""]",[],kalkulus-hazirlikvealtyapi-calculus-precalculus,[],,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert"", ""Specialization""]",wiSD-m_GEeem_Q73lEzyLA,v2.ondemand,"A prominent expert in the number theory Godfrey Hardy described it in the beginning of 20th century as one of the most obviously useless branches of Pure Mathematics”. Just 30 years after his death, an algorithm for encryption of secret messages was developed using achievements of number theory. It was called RSA after the names of its authors, and its implementation is probably the most frequently used computer program in the world nowadays. Without it, nobody would be able to make secure payments over the internet, or even log in securely to e-mail and other personal services. In this course we will start with the basics of the number theory and get to cryptographic protocols based on it. By the end, you will be able to apply the basics of the number theory to encrypt and decrypt messages, and to break the code if one applies RSA carelessly. You will even pass a cryptographic quest!

As prerequisites we assume only basic math (e.g., we expect you to know what is a square or how to add fractions), basic programming in python (functions, loops, recursion), common sense and curiosity. Our intended audience are all people that work or plan to work in IT, starting from motivated high school students.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""38926"", ""87141"", ""103620247"", ""22732010""]","[""Michael Levin"", ""Alexander S. Kulikov"", ""Michael Levin"", ""Владимир Подольский""]",BEGINNER,Number Theory and Cryptography,"[""53""]",http://coursera-university-assets.s3.amazonaws.com/c5/3de8182b104f82af1982b55e0ee124/new-1-UCSanDiego-Coursera-wide-2-.png,"[""University of California San Diego""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ec/5b49a076a011e7922f8f763eb1d46b/logo_numbers_800x800.png,"[""en""]","[""VEskWWftEeeRcArRQWecQg""]",number-theory-cryptography,[],"4 weeks, 2-5 hours/week",RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert""]",ZwwCTnDyEe2i9Qqgr3PSlw,v2.ondemand,"Este curso sirve como una introducción a los principios básicos de la mecánica de suelos y su vinculación con la ingeniería. Los tópicos que se ven en el curso incluyen identificación y caracterización de suelos, y la evaluación de propiedades ingenieriles de estos materiales.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""electrical-engineering""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""11866279""]","[""Christian Ledezma""]",BEGINNER,Introducción a la mecánica de suelos,"[""190""]",http://coursera-university-assets.s3.amazonaws.com/5f/39dc2ec690472391e83f8fc0428c13/UC-I-Chile_1.png,"[""Pontificia Universidad Católica de Chile""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/87/566e8ea1d74c5781eff6411280280e/Logo-MOOC-1.jpg,"[""es""]",[],introduccion-a-la-mecanica-de-suelos,[],1 horas/semana,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert""]",mH2iiEajEfGT0hLbbdtblw,v2.ondemand,"This course provides a comprehensive study of ordinary differential equations (ODEs), focusing on both theoretical concepts and solution techniques. It begins with the classification and solution of linear and non-linear first-order ODEs, followed by an in-depth exploration of second-order ODEs, including the concepts of linear dependence and independence of solutions. Various methods for solving second-order equations are introduced, such as the method of undetermined coefficients, variation of parameters, and reduction of order. The course also covers advanced techniques like the Laplace Transform for solving initial value problems and the application of Fourier series for representing periodic solutions. Sturm-Liouville problems are studied as a framework for solving boundary value problems and understanding eigenfunction expansions. Additionally, the course addresses the solution of systems of linear ODEs using matrix methods and eigenvalue analysis. This course equips students with the mathematical tools necessary to model and analyze real-world dynamic systems in science and engineering.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""185774601""]","[""BITS Pilani Instructors Group""]",INTERMEDIATE,Differential Equations and Applications,"[""134""]",http://coursera-university-assets.s3.amazonaws.com/f2/0adc01487041f99b4887dbca221f11/3.-Wide-logo-for-marketing-purposes.png,"[""Birla Institute of Technology & Science, Pilani""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ea/3477796b3b4582ae2640636f498db7/Differential-Equations-and-Applications.png,"[""en""]",[],differential-equations-and-applications-dea,[],"10 weeks of study, 8-10 hours/week",RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert"", ""Specialization""]",H_rBZ9rMEeeCnw6tUJCJGg,v2.ondemand,"This course is all about matrices, and concisely covers the linear algebra that an engineer should know.   The mathematics in this course is presented at the level of an advanced high school student, but it is recommended that students take this course after completing a university-level single variable calculus course, such as the Coursera offering Calculus for Engineers.  There are no derivatives or integrals involved, but students are expected to have a basic level of mathematical maturity.  Despite this, anyone interested in learning the basics of matrix algebra is welcome to join.

The course consists of 38 concise lecture videos, each followed by a few problems to solve. After each major topic, there is a short practice quiz.  Solutions to the problems and practice quizzes can be found in the instructor-provided lecture notes.  The course spans four weeks, and at the end of each week, there is an assessed quiz.

Download the lecture notes from the link
https://www.math.hkust.edu.hk/~machas/matrix-algebra-for-engineers.pdf

And watch the promotional video from the link
https://youtu.be/IZcyZHomFQc","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""electrical-engineering""}]","[""304770""]","[""Jeffrey R. Chasnov""]",BEGINNER,Matrix Algebra for Engineers,"[""35""]",https://coursera-university-assets.s3.amazonaws.com/0a/3251bd0aca5bc1a90512cff8bc36ea/ustLogo.png,"[""The Hong Kong University of Science and Technology""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e4/79ee403af711e990d4779bdb624161/determinant.png,"[""en""]","[""gaiPbW9_EeyYUA4D61ikrQ""]",matrix-algebra-engineers,[],"4 weeks of study, 4-5 hours/week",RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert"", ""Specialization""]",3MrkwZ3TEfCM_RINj3lY5Q,v2.ondemand,"Master the foundational principles of differential calculus and unlock analytical capabilities essential for data science, engineering, and advanced mathematics. This course provides comprehensive training in derivative calculations, optimization techniques, and real-world problem-solving applications. Through systematic exploration of differentiation rules, implicit differentiation, and critical point analysis, you will develop robust mathematical reasoning skills applicable across scientific and business domains. Learn to model dynamic systems, analyze rates of change, and apply calculus techniques to solve complex optimization challenges. Whether advancing in quantitative fields or building analytical foundations for graduate studies, this course equips you with rigorous mathematical frameworks and practical computational skills to excel in data-driven decision-making and technical problem-solving.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""research-methods""}]","[""167033023""]","[""Stavros Richard Christopoulos""]",INTERMEDIATE,Differential Equations & Advanced Applications,"[""1684""]",http://coursera-university-assets.s3.amazonaws.com/25/8f914021904c9893fb6a107852f662/UNI.HUD.334-LOGO-200px-x-48px.png,"[""University of Huddersfield""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/16/a7e8afb5684049b03b6f84bb16f9ac/calculus3.png,"[""en""]",[],differential-equations-and-advanced-applications,[],,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert""]",I9pZkhVOEfCk7gr_3iO-uQ,v2.ondemand,"Introduces the theoretical foundations and advanced concepts of neural networks, generative models, transformers, and large language models. Students will explore how these AI systems create new data, process information, and learn through feedback, while analyzing their applications across various fields. The course emphasizes key principles in model building, optimization, and real-world generative AI use cases.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""162569871""]","[""Ramin Mohammadi""]",INTERMEDIATE,Generative AI Part 1,"[""517""]",http://coursera-university-assets.s3.amazonaws.com/5b/34d2acc0544ec39e8798c54cfaf34c/Monogram-Wordmark_RGB_186-K_courseracropped.png,"[""Northeastern University ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/17/3acf2b41424dfebaf2ae7a5d66c53f/LogoImageCOE-1.png,"[""en""]",[],generative-ai-part-1,[],2-4 hours per week,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert""]",IkqsvVSXEfGVURJqiNbXfw,v2.ondemand,"Covers and emphasizes practical applications of linear algebra, statistics, complex analysis, and signal processing in bioengineering. Students develop fluency with matrix decompositions, statistical inference and curve fitting, complex-number representations of signals, linear time-invariant systems, and Fourier analysis, and apply these tools to representative biomedical problems.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""213107274""]","[""Mohammad Abbas Yaseen""]",BEGINNER,Applied Mathematics in Bioengineering,"[""517""]",http://coursera-university-assets.s3.amazonaws.com/5b/34d2acc0544ec39e8798c54cfaf34c/Monogram-Wordmark_RGB_186-K_courseracropped.png,"[""Northeastern University ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/09/f6b93c7dad4529af3856102b5b6ed4/LogoImageCOE-1-1-.png,"[""en""]",[],applied-mathematics-in-bioengineering,[],8-10 hours / week,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert"", ""Specialization""]",T1L3kOnWEeey2w6uugZrQA,v2.ondemand,"The depth and breadth of electromagnetism, the foundation for many fields including materials science, electrical engineering, and physical chemistry, requires a long, steep, and steady learning curve. This course aims to bridge the gap between the fundamental principles taught in electromagnetism and its practical application to specific fields such as materials, physics, and chemistry related to energy storage and harvesting. 

The goal of Electrodynamics: An Introduction is to not only teach electromagnetism but also introduce some mathematical tools which can be used to solve problems in the subject.  Within these lecture notes, we review vector calculus and explain how to use fields to visualize the topics we cover.  This course is dynamic, as the lectures continuously build on previous notes and a variety of explanations are presented for each solution.  Since this is a lower level course, we will focus on the simple concept of electrostatics.  This has applications in exploring intermolecular forces, and qualities of capacitors.  Through this, we relate electromagnetism to more conventionally studied topics and its application to specific research topics related to energy storage and harvesting.","[{""domainId"": ""physical-science-and-engineering"", ""subdomainId"": ""electrical-engineering""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""30872233""]","[""Seungbum Hong""]",INTERMEDIATE,Electrodynamics: An Introduction,"[""178""]",https://coursera-university-assets.s3.amazonaws.com/1d/6c34a0418311e59e2359f3c58d68b5/__-__-2.png,"[""Korea Advanced Institute of Science and Technology(KAIST)""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/62/4a0220e9d611e7bdff59991e659b9c/___-___logo_171102.png,"[""en""]","[""SoUJww8TEeuvHAq7K4g20w""]",electrodynamics-introduction,[],2-3 hours/week,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert""]",Z3HRSRVOEfC_-w572D3gsw,v2.ondemand,"Introduces the theoretical foundations and advanced concepts of neural networks, generative models, transformers, and large language models. Students will explore how these AI systems create new data, process information, and learn through feedback, while analyzing their applications across various fields. The course emphasizes key principles in model building, optimization, and real-world generative AI use cases.","[{""subdomainId"": ""machine-learning"", ""domainId"": ""data-science""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""162569871""]","[""Ramin Mohammadi""]",INTERMEDIATE,Generative AI Part 2,"[""517""]",http://coursera-university-assets.s3.amazonaws.com/5b/34d2acc0544ec39e8798c54cfaf34c/Monogram-Wordmark_RGB_186-K_courseracropped.png,"[""Northeastern University ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/49/3dd643a07c493eb833525230271e5e/LogoImageCOE-1.png,"[""en""]",[],generative-ai-part-2,[],2-4 hours per week,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert"", ""Specialization""]",IKJ3iHh-EeebgxJJUk2AAg,v2.ondemand,"In this online course we’ll implement (in Python) together efficient programs for a problem needed by delivery companies all over the world millions times per day — the travelling salesman problem. The goal in this problem is to visit all the given places as quickly as possible. How to find an optimal solution to this problem quickly? We still don’t have provably efficient algorithms for this difficult computational problem and this is the essence of the P versus NP problem, the most important open question in Computer Science. Still, we’ll implement several solutions for real world instances of the travelling salesman problem.

While designing these solutions, we will rely heavily on the material learned in the courses of the specialization: proof techniques, combinatorics, probability, graph theory. We’ll see several examples of using discrete mathematics ideas to get more and more efficient solutions.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""87141"", ""22732010""]","[""Alexander S. Kulikov"", ""Владимир Подольский""]",BEGINNER,Delivery Problem,"[""53""]",http://coursera-university-assets.s3.amazonaws.com/c5/3de8182b104f82af1982b55e0ee124/new-1-UCSanDiego-Coursera-wide-2-.png,"[""University of California San Diego""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/08/23cb40788011e7ab3bfbc4e2ee8189/logo_delivery_800x800.png,"[""en""]","[""VEskWWftEeeRcArRQWecQg""]",delivery-problem,[],"3 weeks of study, 2–5 hours/week",RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert""]",LZ9-lslMEfC-uhKPUMqpbw,v2.ondemand,"Este curso proporciona una preparación matemática fundamental para los primeros niveles de estudios en ingeniería y otros grados que incluyen asignaturas de matemáticas. A lo largo de su desarrollo, revisaremos de forma estructurada los conceptos esenciales de la teoría de conjuntos, comprendiendo su importancia como lenguaje formal de las matemáticas y herramienta de clasificación y análisis.

Además, abordaremos la terminología básica utilizada en el razonamiento matemático y exploraremos las propiedades clave de los números reales y complejos, entendiendo cómo se construyen, cómo se relacionan entre sí y cuál es su utilidad dentro de los modelos matemáticos. Esta formación básica permitirá al estudiante adquirir la base conceptual necesaria para afrontar con solvencia cursos posteriores donde se aplican estos principios.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}]","[""7223379"", ""192722954""]","[""Antonio José Guirao Sánchez"", ""Santiago Moll Lopez""]",BEGINNER,Bases Matemáticas: Números y terminología,"[""3603""]",http://coursera-university-assets.s3.amazonaws.com/84/66b4001040421498085b14ca9fa0cc/upv200.png,"[""Universitat Politècnica de València""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/60/53291a2b084cc290b2b2ba0433a310/BMN101xCoursera.jpg,"[""es""]",[],bases-matematicas-numeros-y-terminologia,[],"4 semanas, 3-4 horas por semana",RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert"", ""Specialization""]",gvoolQQHEfCd-gr_6GMchQ,v2.ondemand,"Honors Algebra 2: Polynomials and Complex Numbers

By the end of this course, learners will be able to analyze, graph, and transform polynomial functions, apply techniques such as factoring, division, and the Remainder and Factor Theorems to solve higher-order equations, and use the Fundamental Theorem of Algebra to understand the complete set of polynomial solutions. They will also develop fluency with complex numbers, performing arithmetic operations, representing them in both algebraic and geometric forms, and applying them to solve equations that have no real solutions.

As the second course in the three-part Honors Algebra 2 specialization, this class moves beyond routine algebraic skills to build deep mathematical reasoning. Students will see how polynomials and complex numbers provide the foundation for modern algebra, engineering, and physics, while practicing advanced problem-solving strategies that encourage both precision and creativity.

What makes this course unique is its balance of rigor and accessibility. Learners progress through challenging concepts with step-by-step guidance, visual explanations, and real-world applications that demonstrate why these topics matter. Completing this course prepares students not only to excel in advanced high school mathematics but also to transition confidently into college-level coursework.","[{""domainId"": ""math-and-logic"", ""subdomainId"": ""math-and-logic""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""48046901""]","[""Joseph W. Cutrone, PhD""]",BEGINNER,Honors Algebra 2: Polynomials and Complex Numbers,"[""8""]",http://coursera-university-assets.s3.amazonaws.com/38/8b04d939454911a61057268c51194b/JHU.logo_rgb.horizontal.blue.png,"[""Johns Hopkins University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d1/81bdfd441243809a1877175b0b1a1c/MiUGm.png,"[""en""]","[""child~svVvx6_bSUecTZvxpUrbng""]",ha2-polynomials,[],,RgEovXKwDsLicz5dv,hnHvxRoq5ZEKOyDHK
[],"[""VerifiedCert"", ""Specialization""]",1PoUfOD6EfCmiQ6Jfv5Klw,v2.ondemand,"By the end of this course, you will be able to design a personalized creative workflow, identify and work with your strengths and weaknesses, reduce procrastination and overwhelm, and confidently move projects from idea to completion.

Taught by Art Director, creative educator, and mental health advocate Sarah Edwards, Defeat Procrastination: Design Your Own Personalized Creative Workflow helps you stop forcing productivity systems that don’t fit—and start building a process that works for you. This course is structured in three parts, guiding you from understanding the power of process, to designing your workflow framework, to practicing discipline, grace, and sustainable success.

You’ll learn how to break free from common productivity myths, brainstorm more effectively, manage ideas without mental overload, and become your own project manager. Through guided exercises and a 35+ page workbook, you’ll uncover your creative “superpowers” and “kryptonites,” integrate mental health into planning, and build systems that support real-life creativity—not burnout.

This course is for anyone who considers themselves creative, from professionals to parents and hobbyists. No prior productivity or design experience is required—just curiosity, self-awareness, and a willingness to try a new approach to getting things done.","[{""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""186501695""]","[""Skillshare""]",BEGINNER,Defeat Procrastination: Design Your Own Creative Workflow,"[""3482""]",http://coursera-university-assets.s3.amazonaws.com/e1/4d7f292d0c4d36b0df5383a4cf6cb9/skillsharelogo_coursera_200x48_white.png,"[""Skillshare""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9a/38e83c329f456d82a213d43af82dfb/602631_logoimages.png,"[""en""]","[""Ci8IhGUbR-2wCpkGUberug""]",defeat-procrastination-design-your-own-creative-workflow,[],,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert""]",YGjPHOZYEeWGngqV7V698w,v2.ondemand,"人文學，其特色在於「慢熱」，需要耐心細嚐、咀嚼古聖先賢的智慧結晶與其文字背後所隱含的真正意義。史記系列課程將透過對《史記》一書的導讀，引領同學們探究史學之「真」與「善」。 

不管你是對中華文化感興趣者、想更深入了解傳統史學者、喜歡論理分析者、或是久仰太史公司馬遷之名之愛好者，這門課一定會讓你收穫良多。因為《史記》不僅記載了無數精彩非凡的歷史人事，更貫串了在它之前的多數古代典籍，可說是集中國上古文明精粹於一書。更重要的是，這門課程中將引導大家如何讀《史記》，進而學會如何讀中國史書、如何讀中國書。

這是一場史學的思辨之旅，希望各位同學千萬不要錯過！","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""2644105""]","[""呂世浩""]",BEGINNER,史記 (Shi Ji),"[""75""]",http://coursera-university-assets.s3.amazonaws.com/ca/1fae86849a421d8aadc224ad843ae0/logo_s.png,"[""National Taiwan University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f3/e110e07ee911e3a3dc1315a8a93bc7/____.jpg,"[""zh-TW""]",[],shiji,[],,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",EdVH6_JIEeyxiRKaoDccyw,v2.ondemand,"Ask for and give constructive feedback on your work, and consider venues for sharing your stories as both a leader and creator. In leadership contexts, this translates to authentic purpose, vision, and values. You’ll engage with a creative assignment with the intention of creating and polishing a story from your life that can be shared, reflecting on how stories evolve over time, through different media, and through retellings for and with different audiences.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""113429699""]","[""Linds Roberts""]",BEGINNER,Storying the Self: Telling our Stories,"[""71""]",http://coursera-university-assets.s3.amazonaws.com/e1/d25de6c2be4186a8884c35a4284184/Boulder-FL.png,"[""University of Colorado Boulder""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e8/c07e4fb7c143e79d76d51a58f53b96/C3-Logo.png,"[""en""]","[""dbcBEvJHEey-rQqAHgwIJw""]",storying-the-self-telling-our-stories,[],"Three weeks of study, 3-5hours/week",Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",tEqImn2kEeWb-BLhFdaGww,v2.ondemand,"Producing music is an incredibly creative process, and knowing the tools of the trade is essential in order to transmit the musical ideas in your head into the DAW in a creative and uninhibited way.  Whether you have used a computer to create music before, or you have been curious about production for years, this 4-week course will give you an introductory look into the world of Avid Pro Tools and Pro Tools First.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""14990685""]","[""Chrissy Tignor""]",BEGINNER,Pro Tools Basics,"[""21""]",http://coursera-university-assets.s3.amazonaws.com/b2/d8770fa28f46d9bda375024fc0e061/berklee_coursera_design_assets_logo_2.png,"[""Berklee""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a7/8cab70b64911e5ac993db8020e54a5/Pt101.jpg,"[""en""]","[""child~54lmYFujTbGyowcbOkUILA"", ""lI_AonWQEemHcw4o4c-y2g"", ""zkV7-RZKEea3nArFC-QKGw""]",protools,[],"4 weeks of study, 3-5 hours a week.",Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",zDub1RTVEeueYA64LqU_IQ,v2.ondemand,"This course will give you the cultural and historical background to begin your journey into Korean philosophy, and there is no prerequisite knowledge on philosophy required. Anybody who either has an interest in Korean culture, maybe through K-Dramas or K-pop, or an interest in philosophy from a cross-cultural perspective, are all welcome.

Despite the growing interest in Korean culture, there are few courses which explore the fascinating topic of Korean philosophy. On this course, you’ll be introduced to concepts in Korean philosophy through an exploration of the Korean language, culture and perspective.
The Korean cultural, social, and political environment has informed and transformed the intellectual assets of China and the West. You’ll explore the creative tensions that Koreans have experienced, and broaden your worldview as you discover a new philosophical approach.","[{""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""67304806""]","[""SO JEONG PARK""]",BEGINNER,Introduction to Korean Philosophy and Culture,"[""668""]",http://coursera-university-assets.s3.amazonaws.com/32/c9b9e79e9e4f07a0b557306fdb4f4c/seonggyungwandaehaggyo_yeongmunbeojeon_hwaiteu.png,"[""Sungkyunkwan University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/85/e86e2a80e542228fde232b66d703b7/KP-Intro.jpg,"[""en""]","[""33ueSdrqTCC9XUJJ7uLwxw""]",introduction-to-korean-philosophy-and-culture,[],"4 weeks of study, 2-3 hours/week",Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",B5KAz1mLEeufpw6SmrNCpQ,v2.ondemand,"In ""Fandom, Community, and Identity in Popular Music,"" you will explore the intersections of fandom and popular culture using pop music as a framework. You will apply your skills of self-reflection and close reading/analysis to a few case studies of pop musicians and the ways in which their art inhabits and evolves in pop culture spaces. You will learn about what it means to be a music fan, and therefore to be a fan in general. Along the way, you’ll have the chance to express your creativity as a fan by making something to contribute back into your fandom. This project will ask you to apply your self-reflection and close reading frameworks, and will ground your studies of fandom and pop culture in your lived experience (both physical and virtual). 

Course-Level Learning Outcomes

* Define and describe the dynamics of popular music and its relationship with fandom, popular culture, and digital media
* Apply critical self-reflection and close reading frameworks through analytical writing and creative expression
* Engage with pop culture and fandom communities by leveraging online platforms to make connections and synthesize learning
* Reflect on your personal relationship to popular music, popular art, and how popular culture intersects with memory and nostalgia

Course 2 Skills: 
* Analysis
* Evaluation
* Critical Thinking
* Communication
* Creativity
* Close Reading","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""95121772""]","[""Christopher Haynes""]",BEGINNER,"Fandom, Community, and Identity in Popular Music","[""71""]",http://coursera-university-assets.s3.amazonaws.com/e1/d25de6c2be4186a8884c35a4284184/Boulder-FL.png,"[""University of Colorado Boulder""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f4/39b621cd7b490895617a439a737d1e/Fandom_s12n-Course-Logo.png,"[""en""]","[""OQ5r2VmJEeutKhJWPvF1Aw""]",fandom-community-identity-popular-music,[],"A few hours a week, flexible",Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",4v6_J1FOEfCXGQ7_O0Gvvw,v2.ondemand,"Artificial intelligence, particularly with the introduction of generative AI, is fundamentally impacting a huge spectrum of human experience. This ranges from the vast majority of jobs and professions to education, healthcare, media and entertainment, and much more.  These rapid advances have been accompanied by a huge array of fundamental and greatly impactful ethical challenges, including bias and inaccuracy in AI systems, where AI systems should and shouldn’t replace humans, and potential benefits and harms from various types of autonomous systems, and existential issues including the future of human work and the possibility of AI systems whose intelligence exceeds that of humans. 

This course provides students with a broad exposure to the ethical issues arising from AI, along with the experience and ethical tools to analyze them.  It is intended to help students recognize and deal with these issues in their professional careers and their lives. It is based on a combination of current media articles and recent research papers, and is designed so that it can be kept current by refreshing the references it is based on. 

This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) and the Master of Science in Artificial Intelligence (MS-AI) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: 

MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder

MS in Artificial Intelligence: https://www.coursera.org/degrees/ms-artificial-intelligence-boulder","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}]","[""70772098""]","[""Bobby Schnabel""]",BEGINNER,Current Issues in Ethics and AI,"[""71""]",http://coursera-university-assets.s3.amazonaws.com/e1/d25de6c2be4186a8884c35a4284184/Boulder-FL.png,"[""University of Colorado Boulder""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6e/85c49489704575a5fc2deadfe8f8fb/Icon---Option-4.png,"[""en""]",[],current-issues-in-ethics-and-ai,[],,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",tLjTFoaiEe-Prw4pgRltBQ,v2.ondemand,"Discover the core skills behind compelling digital content in our Multimedia Content Creation course—designed for both aspiring and experienced creators. In this course, you’ll learn how to create multimedia content that grabs attention, tells your story, and connects with audiences on any platform.

Throughout this course, you’ll gain hands-on experience in multimedia content creation, developing versatile skills you can apply to everything from social media posts and marketing campaigns to presentations and branded assets.

Whether you're designing for video, social graphics, or web layouts, this course emphasizes multimedia content flexibility, empowering you to craft content in various engaging formats.

By the end of the course, you’ll have the confidence and creative toolkit to deliver high-quality multimedia content that stands out in today’s digital landscape","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""166310747""]","[""Adobe""]",,Multimedia Content Creation,"[""496""]",http://coursera-university-assets.s3.amazonaws.com/a0/dbd335cdfe4dff859584d784f047f8/adobe-wide-logo-marketing.png,"[""Adobe""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/28/3597cfb78442b08f7c8df20605c820/Multimedia-square.jpg,"[""en""]","[""Fc5d3MmBQ8S3GMU3tU2tKA"", ""a1Z_-6maRjazuQYxHLbbig""]",multimedia-content-creation,[],,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert""]",Xr_oElFfEeulPAroU7-MFQ,v2.ondemand,本課程旨在解析《紅樓夢》中的重要空間場域——「大觀園」，故將從大觀園建造的原因、過程、整體規畫等依序層層深入解說，並從園中各處設計分析其與人物性格之間的聯繫。,"[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}, {""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}]","[""4656064""]","[""歐麗娟""]",BEGINNER,又見大觀：《紅樓夢》中的烏托邦 (The Red Chamber Dream (3): Daguan Garden),"[""75""]",http://coursera-university-assets.s3.amazonaws.com/ca/1fae86849a421d8aadc224ad843ae0/logo_s.png,"[""National Taiwan University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/34/6548f226114e26b42fdfe5a421e1a3/You-Jian-Da-Guanicon.png,"[""zh-TW""]",[],the-red-chamber-dream-daguan-garden,[],,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert""]",ZFXt0VXlEfCekhJDthqyWw,v2.ondemand,"This course is your launchpad into the power of interdisciplinary thinking—a dynamic approach that transforms how you understand and engage with complex challenges. You will learn to actively draw from multiple disciplines, evaluate the unique strengths of different perspectives, and synthesize these insights to forge new, more comprehensive understandings. The result is the ability to generate integrated knowledge, pioneer alternative solutions, and develop novel approaches to the issues that matter.

Who is this for?

This course is designed for forward-thinking individuals ready to break down silos. It is ideal for:

    Professionals aiming to sharpen their critical thinking, enhance creative problem-solving, and master more effective communication strategies.

    Artists and Creatives seeking to bridge their practice with other disciplines, fueling innovation and discovering fresh, unexpected sources of inspiration.

Core Learning Domains:

The curriculum is built around three key areas of modern literacy:

    Visual Literacy: Decoding and creating meaning from images, design, and visual media.

    Audio Literacy: Developing a critical ear for sound, music, and the information conveyed through our auditory environment.

    Creative Multimodal Thinking: Combining visual, audio, and other sensory elements to communicate and ideate in innovative, impactful ways.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""172609513""]","[""Kakia Gkoudina""]",BEGINNER,Interdisciplinarity in Thought and Practice,"[""228""]",https://coursera-university-assets.s3.amazonaws.com/78/8fa920535311e5941833b91ccdf2c0/MSU-Wordmark-Green-CMYK-_1_.png,"[""Michigan State University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d0/7c01a432e44111ba7c768ff7d0d4c5/psopy.png,"[""en""]",[],interdisciplinarity-in-thought-and-practice,[],"6 weeks of study, 2 hours/week",Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert""]",4pZidE30Ee-Ydw7HnGg4Mw,v2.ondemand,"**Enroll in this Guided Project before April 2026, for a free 1-month trial to the Creative Cloud Plan!**

This Guided Project, 3D Models with Adobe Photoshop: Design Pickleball Paddle, is for advanced Photoshop users. This guided project is intended on helping advanced Photoshop users accomplish configuring a 3D model, establish a color palette to apply to the model, create custom textures to apply to the model, and use graphic design principles to design a typographic element for the 3D model. In this hour-long project-based course, you will learn how to build a 3D model of a pickleball paddle, apply graphic styles like color, create and apply custom textures, and design typography in an engaging way to attract potential clients and investors.  

To achieve this, we will work through how to construct a 3D pickleball paddle using the Adobe Photoshop 3D menu, including building the paddle face and handle grip. As well as how to establish a traidic color palette for the project, how to create custom textures and apply them to 3D models, and learn how to make typographic design choices to create engaging graphics for the face of our paddle, all to create a final presentation to export.  

This project is unique because it combines advanced Photoshop skills with specific application to designing a functional and visually appealing 3D model of a pickleball paddle, integrating various graphic styles and techniques directly applicable to product design and export processes. 

In order to be successful in this project, you will need to have advanced experience in Adobe Photoshop, including familiarity with the workspace layout, layers panel, adjustments panel, and experience with advanced tools such as the perspective grid. As well as, knowledge of 3D modeling concepts and graphic design principles such as color theory, typography, and typographic hierarchy.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""160602077""]","[""Brooklyn Longest""]",INTERMEDIATE,3D Models with Adobe Photoshop: Design a Pickleball Paddle,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7c/7dad617b9e4e13b503d3aa677828c5/ssyt-aadd-wkhtbr-twSyl-jhz-lshbk-ldhky-28-.png,"[""en""]",[],3d-models-with-adobe-photoshop-design-a-pickleball-paddle,[],One hour,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",l3cmv3JKEfCRIxJx5RaBQw,v2.ondemand,"This course, taught by Troy Baird, is your launchpad into the world of street photography. Whether you’re brand new to the genre or looking to reinvigorate your creative process, we’ll break down what makes street photography so powerful—and how to find your own unique artistic voice within it. Through stories, philosophies, and real-world examples, we’ll explore not just how to shoot, but why we shoot.

You’ll learn how to define street photography for yourself, tap into your emotional instincts, and build the kind of mindset that allows for consistent, authentic image-making. We’ll also dive into storytelling, intention, and seeing the world with more awareness.

By the end of this course, you’ll be able to:
* Define your own creative purpose and visual style
* Evaluate great street photos and understand why they work
* Build daily practices that nurture inspiration and creativity

Who’s this for? Anyone curious about street photography, self-expression, or personal creativity. No experience necessary—just a camera (or smartphone) and an open mind.

Instructor bio:
Troy Baird is an Australian film director and documentary filmmaker with over a decade of global experience. Alongside his documentary work, Troy has pursued his passion for street photography, traveling extensively to dynamic locations including Cuba, India, Nepal, Japan, Morocco, New York, and across Europe and Southeast Asia.

His creative journey has taught him to adapt, pivot, and continually refine his approach, culminating in a 9-hour Skillshare Staff Pick class that distills insights from over 200 books, countless films, podcasts, online resources, and ten years of hands-on street photography experience. Troy’s mission is to help creatives discover their own artistic voice and express themselves through street photography.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""186501695""]","[""Skillshare""]",BEGINNER,Street Photography: Foundations & Creative Mindsets ,"[""3482""]",http://coursera-university-assets.s3.amazonaws.com/e1/4d7f292d0c4d36b0df5383a4cf6cb9/skillsharelogo_coursera_200x48_white.png,"[""Skillshare""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/94/2e3656331b4376a3b4077afd3c92fa/coursera_633510.1_logoimage.png,"[""en""]","[""iRUmjgOfSM2zsRtYDOFm1A""]",street-photography-foundations--creative-mindsets,[],,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",FH3l41KiEfCCkhJtqsu9dw,v2.ondemand,"This course is for:
-People who need to brush up on technical communication (tech comm) skills within their current role
-People who are interested in pursuing a career as a technical communicator, technical writer, usability specialist, project manager, content writer, or related role. 

Course Objectives:
- Define technical communication, its processes, and its ethical considerations.
- Analyze and adapt to audiences for technical communication.
- Write and revise technical content for different audiences.
- Apply design, usability, and accessibility to technical communication examples.

This course isn't meant to present formulas or rules for ""correct"" writing. Tech comm is too complex for that! Instead, the course will help you hone your strategic thinking and decision-making skills so that you can create the most effective technical communication for your particular situation. 

First, we'll address the importance of audience, integration with AI, and strategies for analyzing your tech comm situation when you don't know where to begin. 

Second, you'll practice research and plain writing strategies. 

Third, you'll learn to design pages, test for usability and accessibility, and revise your communication.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""184211234""]","[""Abigail Bakke, Ph.D.""]",BEGINNER,Technical Communication Essentials,"[""3457""]",http://coursera-university-assets.s3.amazonaws.com/bc/7fa3f55a534965926746fb36262c94/MSU_RGB_purple_gold_200x64_PNG.png,"[""Minnesota State University, Mankato""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/f8/b3a5b3d1a240c2aa22b272acfdb14a/Tech-Comm-Essentials-Logo-Image2.png,"[""en""]","[""SR_-JNGlSo6bArDnDMfcJQ""]",technical-communication-essentials,[],"3 weeks of study, 3-4 hours/week",Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",hzlA6mf1EfCg9wr_w-3how,v2.ondemand,"This course is all about taking your editorial layouts and workflow even further. Your course instructor, Kate Silver, will dive deep into tables, text data management, object styles, blending modes, and subtle effects to give your designs that polished, professional edge. If you’ve been doing things the long way in InDesign, I’ll show you faster, smarter methods.

By the end of this course, you’ll be able to:
* Build clean, data-driven tables and stylish timetables
* Apply object styles, shadows, and graphic effects with confidence
* Remove image backgrounds using clipping paths
* Use tools like the Story Editor, Gridify, and Find/Change to save hours

You’ll design projects like a table-based coffee book, flyers, and an editorial-style timetable, all while learning 60+ tools and time-saving tricks. 
This class is perfect for designers looking to improve their technical layout skills and produce print or digital pieces for real clients. 

You’ll need a working knowledge of InDesign and some experience using paragraph styles and page layout features to succeed.

Instructor bio:
Kate Silver is a graphic and shoe designer, Top Teacher on Skillshare, and instructor at the UK’s leading Adobe training center in London. She creates beginner and advanced courses on design software including Adobe Photoshop, Illustrator, InDesign, Canva, and more.

With experience designing for brands like Jimmy Choo and Sophia Webster, Kate brings hands-on expertise to her classes, making complex tools simple and accessible. Her lessons focus on clarity, practical projects, and smart shortcuts to help students build real skills with confidence.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""186501695""]","[""Skillshare""]",INTERMEDIATE,Advanced Guide to Adobe InDesign CC: Tables & Effects,"[""3482""]",http://coursera-university-assets.s3.amazonaws.com/e1/4d7f292d0c4d36b0df5383a4cf6cb9/skillsharelogo_coursera_200x48_white.png,"[""Skillshare""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2e/4ed835a7bf4d698a39e323df0ce350/coursera_626901.2_logoimage.png,"[""en""]","[""c1RkR1uzQmCPkeP0eGRolQ""]",advanced-guide-to-adobe-indesign-cc-tables--effects,[],,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",mkod6yZFEeyavRI3rIvGvQ,v2.ondemand,"“Conduzir pesquisas de UX e testar os primeiros conceitos” é o quarto curso de um programa de certificação que vai lhe fornecer as habilidades necessárias para se candidatar a empregos de nível básico em design de experiência do usuário (UX, na sigla em inglês). Neste curso, você aprenderá a planejar e realizar um estudo de usabilidade para coletar feedback sobre seus designs. Depois, você modificará seus designs de baixa fidelidade com base nos insights da sua pesquisa. 

Seus instrutores serão designers e pesquisadores de UX atuais do Google, e você realizará atividades práticas que simulam situações reais de projeto de UX. Os alunos que concluírem os sete cursos deste programa de certificação estarão equipados para se candidatar a vagas de designers de UX iniciantes. 

Veja do que você será capaz ao final deste curso:
   Planejar um estudo de pesquisa de UX, incluindo o histórico do projeto, os objetivos e as perguntas da pesquisa, principais indicadores de desempenho, metodologia, participantes e script.
   - Explicar a importância da privacidade e dos dados do usuário.
   - Realizar um estudo de usabilidade moderado e não moderado. 
   - Fazer anotações durante um estudo de usabilidade. 
   - Criar diagramas de afinidade para agrupar e analisar dados. 
   - Sintetizar observações de pesquisa e obter insights. 
   - Desenvolver habilidades de apresentação persuasiva para compartilhar os insights da pesquisa.
   - Modificar designs de baixa fidelidade com base nos insights de pesquisa.
   - Continuar criando o design de um app para dispositivos móveis para incluir no seu portfólio profissional. 

- Para ir bem neste curso, você precisa concluir os três cursos anteriores do programa de certificação. Como alternativa, você precisa ter capacidade de realizar pesquisas com usuários para ajudar na criação de mapas de empatia, personas, histórias de usuários, mapas da jornada do usuário, declarações de problema e propostas de valor. Você também precisa saber como criar wireframes e protótipos de baixa fidelidade em papel e na ferramenta de design Figma.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,Conduzir pesquisas de UX e testar os primeiros conceitos,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/37/ab57dc4c844bb9b787f168d9c95d4c/1200x600_certsResize_2.png,"[""pt-BR""]","[""VMM1lDgkEeym8A7cXo-JEw"", ""qqcPaq10Ee2PnA50d1Eplw""]",conduzir-pesquisas-de-ux-e-testar-os-primeiros-conceitos,[],,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert""]",zSRvHc7MEeyIXQ7d-KWeWQ,v2.ondemand,"By the end of this project, you will learn how to create and design engaging stories for Instagram and Facebook in Easil to promote your business. An essential role of your social media marketing strategy is to establish your online identity and appeal to your users.

In this guided project, we will use the free version of Easil. You will be able to incorporate a color scheme, images, and other design elements for aesthetically pleasing and value-added business marketing collateral.  We can use Easil to complete this project because it provides all the tools you need to create organized and visually appealing products while offering a variety of options for sharing and collaboration. You will learn how to plan and organize your ideas and utilize graphic design tools as you create social media stories to advertise your brand or products.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""74149180""]","[""Michelle Flores""]",BEGINNER,Design engaging Stories for Instagram and Facebook in Easil,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/51/fb5f6709654c7c8f99261110efb031/Design-ohne-Titel-16-.png,"[""en""]",[],design-engaging-stories-instagram-facebook-easil,[],2 hours,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",78ovFfwLEfCMEQr_0svSgw,v2.ondemand,"This lecture series explores our emotional landscape through the thought of Seongho Yi Ik (1683- 1761), one of the most original Confucian thinkers of late Joseon Korea. Rooted in the Confucian project of “Learning to be Human,” the course examines how emotional cultivation is essential not only to moral development but also to understanding others and living well in community. Centered on Seongho’s New Compilation of the Four-Seven Debate (Sachil sinpyeon), the lectures trace his major philosophical innovations: his vivid social metaphors of emotion, his naturalistic and embodied account of emotional life, his creative engagement with Western learning, and his expanded view of the emotional spectrum through both philosophical and digital approaches. 

The course also considers his reflections on the emotions of sages, the emergence of public emotions from private life, the role of ritual in cultivating shared moral feeling, and the continuing relevance of his thought to the Korean concept of Jeong today. 

Through these lectures, Seongho’s insights offer both a deeper understanding of Confucian moral psychology and practical wisdom for tuning our own emotions.","[{""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""203889204"", ""67304806"", ""183564627"", ""79570238"", ""203610227"", ""63754397""]","[""김선희"", ""SO JEONG PARK"", ""Youngsun Back"", ""Curie Virag"", ""Minjung Baek"", ""Hana""]",ADVANCED,How to Tune Our Emotions: Seongho's New Proposal 2,"[""668""]",http://coursera-university-assets.s3.amazonaws.com/32/c9b9e79e9e4f07a0b557306fdb4f4c/seonggyungwandaehaggyo_yeongmunbeojeon_hwaiteu.png,"[""Sungkyunkwan University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/00/6cdd95864f46d6adb15bdd1a79768d/gangjwa-sseomneim.png,"[""en""]","[""4kBZZyGSQO2stcuDZZndAw""]",how-to-tune-our-emotions-seonghos-new-proposal-2,[],"8 weeks of study, 2-3 hours/week",Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",R8yLy-aNEfC9UQr_76fJSQ,v2.ondemand,"Led by Future Skills, this course will equip you with the core tools of modern music theory and show you exactly how to use them in today’s music landscape. By the end of this course, you will be able to read and write musical notation, build and analyze scales and keys, construct common and advanced chords, and create compelling chord progressions inside Ableton Live.

Music Theory: Learn the Essentials of Music Theory for Modern Music is designed as the foundational part of a three-course journey, focusing on the building blocks of music—from notes and piano layout to harmony and advanced chord structures. What makes this course unique is its practical, producer-friendly approach: you won’t just learn theory, you’ll actively apply it in a digital music production environment.

This course is ideal for beginner musicians, producers, songwriters, and performers who want to strengthen their musical foundation. No prior music theory experience is required, but to be successful, you should be comfortable using a computer and have basic familiarity with music creation tools. Whether you’re starting out or filling knowledge gaps, this course will help you turn musical ideas into confident, informed compositions.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""186501695""]","[""Skillshare""]",BEGINNER,Music Theory: Essentials of Music Theory for Modern Music,"[""3482""]",http://coursera-university-assets.s3.amazonaws.com/e1/4d7f292d0c4d36b0df5383a4cf6cb9/skillsharelogo_coursera_200x48_white.png,"[""Skillshare""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/88/998869fb8d41589f310be3c4abd413/635419_logoimages.png,"[""en""]","[""Gr09yARCQgio4VPoHIFbxA""]",music-theory-essentials-of-music-theory-for-modern-music,[],,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",CYX9a_3oEe6s6A6gNZn4pQ,v2.ondemand,"In the “Exploration to Korean Philosophy” series, we will delve deeper into the subject matter than what was previously addressed in the courses “Introduction to Korean Philosophy and Culture (IKPC)” and “In Search for the Origins of Korean Philosophy (SOKP).""
In EKP1, titled ""Modernity and the Emergence of 'Korean' Philosophy,"" we explore how the Korean intellectual tradition encountered a pivotal moment of reinterpretation as it embraced the discipline of ""philosophy,"" often seen as the apex of modern European intellectual history. 
Looking at examples of Concept Clusters, we can see that Korean philosophy is deeply rooted in the Korean language and has formed a philosophical perspective that is different not only from the West but also from neighboring countries such as China and Japan. In this course, we also dealt with the early Korean Neo-Confucianism's gaze on “cheon”, referring to “heaven” as an example that clearly demonstrates the characteristics of Korean philosophy before it was given the name “philosophy.” Even before and after the advent of Neo-Confucianism, the search for ultimate existence – expressed in various terms – was constantly pursued. The gaze on “heaven” is an important feature of Korean philosophy.","[{""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""67304806""]","[""SO JEONG PARK""]",INTERMEDIATE,EKP1: Modernity and the Emergence of Korean Philosophy,"[""668""]",http://coursera-university-assets.s3.amazonaws.com/32/c9b9e79e9e4f07a0b557306fdb4f4c/seonggyungwandaehaggyo_yeongmunbeojeon_hwaiteu.png,"[""Sungkyunkwan University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/82/6414c1137447c1a16147100b649407/KP-Intro.jpg,"[""en""]","[""33ueSdrqTCC9XUJJ7uLwxw""]",exploration-to-korean-philosophy-1,[],"5 weeks of study, 2-3 hours/week",Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",oOoBbJmUEeigcQ6ACV18LA,v2.ondemand,"This class is the chance to create your personal essay or extend into a full memoir -- from planning and structure to bold narrative brushstrokes to the layering of significant detail. You will develop the opportunity to find your voice and see it come alive, amplified and improved, on the page. This is the chance to tell your story in a way that invites readers in; your story, written to be read. The memoir and personal essay are two of the best-selling and most universally acclaimed genres in the world of modern creative writing. Welcome to your story.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""17099594""]","[""Amy Bloom""]",,Writing a Personal Essay,"[""34""]",http://coursera-university-assets.s3.amazonaws.com/a6/ab4828ba3240b3b3b96dc0bbf6abf7/Logo200x48.png,"[""Wesleyan University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/8d/f0a4e0d3c011e88f5bf9c19ddff419/memoir2.jpg,"[""en""]","[""pMw6IJmTEei5-QqWy6j9wA""]",personal-essay,[],,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",iJzz2nIhEfCRIxJx5RaBQw,v2.ondemand,"If you’ve ever wanted to combine multiple photos into one seamless image, this course, taught by  Ally, the creator of Affinity Revolution, is your step-by-step guide to mastering professional compositing in Affinity Photo. From masking and lighting to shadows and final polish, you'll learn how to blend images like a pro.

This course is for learners who already know the basics of Affinity Photo and want to level up their skills with creative, real-world projects. We’ll break down the full compositing workflow into simple, manageable steps—and practice each one through hands-on projects like wedding scenes, cityscapes, and street composites.

By the end of this course, you’ll be able to:
* Plan and build a composite from start to finish
* Match lighting, color, clarity, and shadows across multiple photos
* Add realistic contact points, highlights, and environmental effects
* Create stunning, professional-quality composites

If you're excited to bring your photo editing to a whole new level of creativity and realism, then come join Affinity Revolution. These tutorials are fun, practical, and packed with skills you’ll use again and again!

Instructor bio:
Ally, the creator of Affinity Revolution, has been teaching people how to use the Affinity creative suite since 2016. Through her easy-to-follow tutorials on Affinity Photo, Designer, and Publisher, she focuses on delivering maximum value in minimal time—making complex tools feel simple and approachable. Ally knows that learning Affinity can feel overwhelming at first, but with her step-by-step guidance, you’ll quickly gain confidence and master the skills to bring your creative projects to life.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}, {""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""186501695""]","[""Skillshare""]",INTERMEDIATE,Affinity Photo: Beyond the Basics – Pro Compositing,"[""3482""]",http://coursera-university-assets.s3.amazonaws.com/e1/4d7f292d0c4d36b0df5383a4cf6cb9/skillsharelogo_coursera_200x48_white.png,"[""Skillshare""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0e/d3a0ed8606414fb4709adc8d4b7ca6/coursera_638461.3_logoimage.png,"[""en""]","[""F6-cp6-nRKi7Cvsx5QC4AQ""]",affinity-photo-beyond-the-basics--pro-compositing,[],,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",WNohAeaOEfCi0BKACOfjww,v2.ondemand,"By the end of this course with Nuria Quero, you will be able to design, build, and publish your first TikTok effects using Effect House—from setting up the tool to sharing your filter on TikTok. You’ll confidently navigate the interface, add 2D and 3D elements, use face tracking for makeup effects, experiment with visual scripting, and test and submit your work for review.

This class is designed for aspiring AR creators, designers, content creators, and anyone curious about augmented reality who has never used Effect House before. No prior AR experience is required. To be successful, you only need a TikTok account and a computer capable of running Effect House—we’ll cover installation and setup together.

Structured in three practical parts—platform and tool foundations, building a face-tracking makeup effect, and creating an interactive randomizer effect—you’ll learn by doing. Nuria guides you step by step as you build two complete effects from scratch, with downloadable assets and finished project files included.

If you’ve ever wanted to turn your ideas into interactive filters seen by millions, this course gives you the skills and confidence to start creating right away.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""186501695""]","[""Skillshare""]",INTERMEDIATE,Create Effects for Tiktok: Effect House for Beginners,"[""3482""]",http://coursera-university-assets.s3.amazonaws.com/e1/4d7f292d0c4d36b0df5383a4cf6cb9/skillsharelogo_coursera_200x48_white.png,"[""Skillshare""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fa/261da9f12b4c3fb8c6b65463ca19d1/603312_logoimages.png,"[""en""]","[""AZi4_Q2MSLCpM-Gltx6YYQ""]",create-effects-for-tiktok-effect-house-for-beginners,[],,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert""]",byLKTjNKEeyTERK47a9PLQ,v2.ondemand,"**Enroll in this Guided Project before April 2026, for a free 1-month trial to the Creative Cloud Pro Plan!**

After we finish this project, you will be able to create a reflection of any landscape you like whether it’s in the morning or evening, and add different effects to it using Photoshop.
Throughout the project, you will be able to use basic tools like the transform tool and you will identify layers on Photoshop.
This is for anyone who is a beginner level designer that is interested in adding some life to a boring picture they want to use. It can also be for photographers who want to add a little bit of spark and brighten up photos they took on a trip.
This project will be fun and super simple, it helps turn a picture in your imagination into reality. It will also help anyone who wants to launch a new product in their collection, but didn’t have the right setting during a photoshoot. The tools we will learn together will help us create a reflection to amplify the photo. It will turn from a normal image to an artwork with a few small edits. Adobe Photoshop is used to bring your imagination to life. It’s where you can unlock your creativity and use innovative features to create avant-garde graphics for your projects.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""95443047""]","[""Mariam Hegazy""]",BEGINNER,How to Create Realistic Reflections with Adobe Photoshop,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/35/c926bb7f034014b3eaa237ae350ac7/How-to-set-up-shop-on-Facebook-Shops-using-Canva-71-.png,"[""en""]",[],how-to-create-realistic-reflections-with-photoshop,[],1 hour,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert""]",HotnEEkNEfCnugr_-njfqw,v2.ondemand,"This course explores how artificial intelligence is transforming the way we create, interpret, and engage with images and visual media. Focusing on generative tools, datasets, and cultural impact, you’ll learn how AI systems are trained to generate images, how artists are using them creatively, and what ethical, legal, and political questions arise as a result. By the end of the course you will be able to:

- Explore how AI can be used to generate and manipulate images using techniques like GANs, CLIP, and diffusion models.

- Understand the impact of datasets on the aesthetics and biases of generative AI, and how dataset design influences creative output.

- Evaluate the ethical and legal implications of AI image-making, including issues of consent, appropriation, and authorship.

- Experiment with text-to-image tools and other generative systems, gaining insight into how artists are working with AI in practice.

Through hands-on activities, creative walkthroughs, and interviews with artists and researchers, you’ll investigate how generative systems work, reflect on how they relate to earlier image-making technologies like photography, and examine the social debates surrounding AI art platforms and dataset ethics.

Featuring perspectives from leading artists and technologists working at the cutting edge of AI and visual culture, this course provides both the technical understanding and critical insight to begin experimenting with AI in your own creative media practice. No technical experience is required, just curiosity and a willingness to engage with new visual tools and ideas.","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""189426610""]","[""Terence Broad""]",BEGINNER,Creative AI: Images and Media ,"[""3367""]",http://coursera-university-assets.s3.amazonaws.com/3f/cb8a5534304db491776f889c74e095/UAL-logo.png,"[""University of the Arts London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a2/7593a8e0144843b6d41077bb47a1ca/4.jpg,"[""en""]",[],creative-ai-images,[],,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",K0CLlm15Eeem_Q73lEzyLA,v2.ondemand,"Aprenda os conceitos e abordagens básicos necessários para compreender, criar e executar música contemporânea.

Se você é apaixonado por música e tem curiosidade de como ela funciona, ou se é um músico que aprendeu a tocar de ouvido, sem um estudo formal, esse curso lhe oferecerá uma introdução envolvente de conceitos e abordagens chave para compreender, criar e executar música contemporânea. Ministrado pelo professor George W. Russell Jr. do Berklee College of Music, o curso inclui seis lições que exploram harmonia e o treino de ouvido - duas áreas de foco intensivo para todo aluno iniciante na Berklee. 

O curso lhe ensinará a as escalas pentatônicas maiores e menores e como elas são construídas. Você aprenderá quais são os intervalos, como cantá-los e como encontrá-los na música. O curso explora o tom central e como encontrar qual o tom de uma música, além de divisões de compasso comuns como 4/4 e 3/4. Você aprenderá a construir acordes - tríades maiores e menores, e acordes maiores e com sétima dominante - e como construir uma progressão de acordes comum - o I IV V. Você também aprenderá a reconhecer os formatos de música blues e AABA e a escrever uma sequência de acordes básica para expressar suas ideias musicais. 

Além das aulas em vídeo, cada aula envolve apresentações e entrevistas com alunos da Berklee. Os alunos compartilham suas jornadas musicais e oferecem orientações para aqueles que querem estudar música. O ponto alto do curso é uma tarefa que solicita que você componha e execute um riff de melodia em blues usando a escala pentatônica menor. Acima de tudo, o curso foi pensado para compartilhar o prazer de criar música e compartilhá-la com os outros.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""6124304""]","[""George W. Russell, Jr.""]",BEGINNER,Desenvolvendo sua musicalidade,"[""21""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/http://coursera-university-assets.s3.amazonaws.com/2c/2b23504a1611e79ae6238059e10b3d/IDB-Branding.png?auto=format%2Ccompress&dpr=1&w=240&h=240&fit=fit,"[""Berklee""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ed/2e01308e8111e787fc2f1aa42f04fb/PianoHands.jpg,"[""pt-BR""]","[""eyWQa5QpEemRFA7A4tA2Yg""]",desenvolvendo-musicalidade,[],"7 weeks of study, 3-5 hours/week",Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert""]",uCkst_gQEeaQswpW71qb2A,v2.ondemand,"Which are the deepest roots of that mix of cultures that we use to call ‘Mediterranean Civilization’? Which are comminglings and exchanges which produced its most complete fruit, i.e. the city, a place for landscape-modelling communities? And which elements did contribute to build up that baulk of customs, ideas, and innovations which compelled to confrontation and hybridizations different peoples for millennia? What did it made, from pottery to metallurgy, from gastronomy to architecture, from art to religion, of a sea a cradle of civilization? Archaeology may help in disentangling such questions, seeking unexpected answers , by tinkering what ancient Mediterranean peoples left buried in the ground. A privileged point of view of our course is the ancient Phoenician city of Motya, located exactly at the centre of the “sea in the middle”. Throughout the live experience of excavation, with images taken on the field, this course will let you touch the many tesserae of the great mosaic of the Mediterranean Civilization. The field diary of the archaeologist, and the handpick will be the two tools, which will lead us across the sea to discover what such early cities actually were, and how their contribute is still a major part of our shared memory.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""7578376""]","[""Lorenzo Nigro""]",BEGINNER,At the Origins of the Mediterranean Civilization: Archaeology of the City from the Levant to the West - 3rd-1st millennium BC,"[""74""]",https://coursera-university-assets.s3.amazonaws.com/30/ac7332492a90f772e92cccd6f22cba/Logo-200x48-png.png,"[""Sapienza University of Rome""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/97/18cbc0196711e7bbb193f306041872/Nigro_Mozia_16-_2_.jpg,"[""en""]",[],archaeology-city-levant-west,[],,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",p_-Q0DicEeyeYA42DXbPkQ,v2.ondemand,"The MOOC deals with  the ethical issues created, aggravated or transformed by AI. It is intended to give students a chance to reflect on the impact of AI on ethical, social and cultural aspects by focusing on the issues faced by and brought about by professionals in AI and information technologies. The MOOC will address these topics by means of case studies and examples analyzed by using the main ethical frameworks.

By actively participating in this MOOC, you will achieve different intended learning outcomes (ILOs).
- Acquire a broad perspective on the ethical impacts and societal implications of AI.
- Learn how to recognize and analyze ethical and social issues inherent in AI.
- Be able to understand how technical problems are connected to a social dimension within a socio-technical perspective.
- Be able to use critical skills in clarifying and ethically analyzing case-studies involving AI technologies.
- Be better prepared for professional life in an ethically and socially responsible way.

This MOOC was produced as part of the Edvance project – Digital Education Hub per la Cultura Digitale Avanzata. The project is funded by the European Union – Next Generation EU, Component 1, Investment 3.4 “Didattica e competenze universitarie avanzate"".","[{""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}, {""subdomainId"": ""philosophy"", ""domainId"": ""arts-and-humanities""}]","[""97199246""]","[""Viola Schiaffonati""]",BEGINNER,Ethics of Artificial Intelligence,"[""405""]",http://coursera-university-assets.s3.amazonaws.com/01/c62595317a4c01bcabd76db132a6c7/c2.png,"[""Politecnico di Milano""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e6/6ff9aa24b548dcac467257d717f683/AI102_cover.jpg,"[""en""]","[""D5-G_39lEeye0BJDMcVCxw""]",ethics-of-artificial-intelligence,[],4 weeks ,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",MDNYCR0iEfCpIQr_6QDb7Q,v2.ondemand,"The course provides a structured roadmap to master SOP (Statement of Purpose) writing, designed for students, job seekers, and professionals aiming to stand out in academic and professional applications. It is tailored for undergraduate and postgraduate applicants, professionals seeking higher education or research opportunities, and candidates preparing for fellowships, internships, or job roles requiring SOPs.

You will begin by exploring the structure, purpose, and significance of SOPs, understanding how they differ from personal statements, and learning how admission committees evaluate them. Through guided exercises, you will practice applying storytelling frameworks like the Six P’s to craft compelling and authentic narratives that align with program goals.

Next, you will dive into polishing, customizing, and tailoring SOPs for different disciplines and contexts, including STEM, business, and humanities. The course also incorporates alumni insights, reviewer feedback, and international perspectives, helping you refine drafts with ethical AI support while avoiding common pitfalls.

By the end of this course, you will have a polished, field-specific SOP that reflects your motivation and aspirations, along with strategies to continuously refine your drafts for future applications.

By the end of this course, you will be able to:

- Understand the role, structure, and significance of SOPs in applications.

- Apply storytelling techniques and frameworks like the Six P’s for compelling narratives.

- Tailor SOPs for discipline-specific and international contexts with precision.

- Revise and enhance SOP drafts using reviewer feedback and ethical AI tools.

- Create polished, authentic SOPs that strengthen academic and professional applications.

Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""128073001"", ""9201792""]","[""Board Infinity"", ""Ashay Sinha""]",BEGINNER,SOP Writing Mastery: Craft Statements That Stand Out,"[""1401""]",http://coursera-university-assets.s3.amazonaws.com/9c/33258d6efd440aa6a523829de9a182/BI-svg.png,"[""Board Infinity ""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b7/abc1bf74114162915f2b191d037ffa/Mastering-Statement-of-Purpose-SOP-Writing.png,"[""en""]","[""Fw_N2zCBTqiUeELyA8l5Eg""]",mastering-statement-of-purpose-sop-writing,[],"2 weeks of study, 4-5 hours/week",Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",_b5atEYaEfC-nhKAhlSEHQ,v2.ondemand,"If you’re completely new to motion design and ready to dive into the world of animation, this course is the perfect starting point. Taught by designer and motion graphics expert Hongshu Guo, this beginner-friendly course walks you through everything you need to know to open After Effects with confidence and start creating animations from scratch.

You’ll learn how to navigate the interface, organize your files, and build your first composition using key animation tools like position, scale, and opacity. Through step-by-step lessons and a hands-on project, you’ll understand how animation works and how to bring basic objects to life on screen.

By the end of the course, you’ll know how to animate simple sequences professionally and efficiently using core After Effects tools. Whether you're pursuing motion graphics as a hobby or a career, this course lays the solid foundation you need to build your skills and create with confidence.

Instructor bio:
Hi, I’m Hongshu Guo, a Motion Graphics instructor with over 40,000 students online. I help beginner animators master After Effects through clear, hands-on courses. You can also explore free tutorials on my YouTube channel, Motion Circles, or join our community on Discord to connect with fellow learners.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""186501695""]","[""Skillshare""]",,Beginner's Guide to Adobe After Effects: Core Tools & Setup,"[""3482""]",http://coursera-university-assets.s3.amazonaws.com/e1/4d7f292d0c4d36b0df5383a4cf6cb9/skillsharelogo_coursera_200x48_white.png,"[""Skillshare""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/28/a60e200e7a47ff8af852c62f70d75f/589052_001_1200x1200.png,"[""en""]","[""nG0INi5JQ5aaLZYgx3jKJQ"", ""zKts2ZewQ5ete27Y7JsQ6Q""]",beginners-guide-to-adobe-after-effects-core-tools--setup,[],,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",kKwHoIP4Eea_HA7U3gpEVw,v2.ondemand,"This course addresses recorded vocal performances and the technologies used to highlight and support them in modern record production and mixes. Most of us know that vocals serve as the focal point of modern recordings but many do not know the tools used or when the tools are used best in modern record production.

The course begins with simple vocal placement in a mix, where you will also learn the fundamentals of compression and equalization. You’ll further study delays and reverbs before moving to advanced concepts in audio editing, synthetic processing, automatic & graphic pitch correction, time compression, time expansion, flex and elastic audio. 

Through analysis and/or hands on projects that the students will post for peer review, the student will gain an understanding of the many choices available to modern record producers as they record and mix with a modern tool set. You’ll see, in action, the Vocoder, Auto-Tune, Melodyne, Elastic Audio, Flex Time, VocAlign, tempo based editing and a host of other file modification protocols that are readily available on most Digital Audio Workstations. This course gives students a thorough look at the expanded choices that have risen in the art of vocal production as a result of these modern tools.

The goal of the course is to help interested novices understand the recordings they are listening to, performers find an expanded language for their recorded voices and for vocal producers to be able to create musically artistic visualizations using singers as their paintbrushes.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""23132098""]","[""Prince Charles Alexander""]",BEGINNER,The Art of Vocal Production,"[""21""]",http://coursera-university-assets.s3.amazonaws.com/b2/d8770fa28f46d9bda375024fc0e061/berklee_coursera_design_assets_logo_2.png,"[""Berklee""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/19/f869a0b71711e6910acf810417d527/VP_Option2.jpg,"[""en""]","[""hJPmbxyxR9KQFwxY9PcAIw""]",vocal-production,[],"4 weeks of study, 3-5 hours/ week",Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert""]",H4Lq9DClEeeckAoFzJuh9g,v2.ondemand,"This course from the University of London explores critical thinking, and the interpretation of texts, through the Shakespeare authorship question. Using doubt about Shakespeare’s authorship as our playground, we will explore the key concept of authorship attribution, while developing skills in literary analysis, interpretation, and argument. Through forensic exploration of key texts, you will learn why Shakespeare’s authorship is questioned, and what evidence is cited on both sides of the debate.

For those of you interested in exploring the works of Shakespeare from a new angle, or just wanting to hone your analytical thinking skills, this course offers an introduction to a fascinating area of interest. Those of you already interested in the Shakespeare authorship question will be encouraged to question your own assumptions in fruitful ways. Whether undertaken as a standalone course, or as preparation for the University of London BA in English, this course will be food for thought.","[{""domainId"": ""arts-and-humanities"", ""subdomainId"": ""history""}]","[""25938680""]","[""Ros Barber""]",BEGINNER,Introduction to Who Wrote Shakespeare,"[""26"", ""303""]",http://coursera-university-assets.s3.amazonaws.com/64/897490dbba11e891a84769f318bf74/1-Colour-Logo-Black-Text-CMYK.png,"[""University of London"", ""Goldsmiths, University of London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/43/a0dd4033e611e796f9a9262bb68011/Course-Image.jpg,"[""en""]",[],shakespeare,[],"4 weeks of study, 3-4 hours/week.",Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert"", ""Specialization""]",KzxMxh2UEeyNYgrqC77JMw,v2.ondemand,"“Design de uma experiência do usuário para o bem social e preparação para o mercado” é o sétimo e último curso do programa que dará a você as habilidades necessárias para se tornar um designer de UX de nível básico. Neste curso, você criará o design de um app para dispositivos móveis dedicado e um site responsivo com foco no bem social. Você demonstrará o que aprendeu durante o programa de certificação para completar o processo de design do início ao fim: ter empatia com os usuários, definir dificuldades, apresentar soluções de design, criar wireframes e protótipos e testar designs para receber feedback. No final do curso, você terá um novo projeto de design em várias plataformas para incluir no seu portfólio profissional de UX. 

Este curso também preparará você para conseguir seu primeiro trabalho como designer de UX. Você aprenderá como agir em entrevistas para cargos de nível básico em design de UX. Você receberá dicas de Googlers baseadas nas experiências deles em entrevistas e em suas perspectivas únicas como gerentes de contratação. Você refinará o portfólio profissional de UX que você vem desenvolvendo ao longo do programa para que ele esteja pronto para a candidatura a vagas. 

Seus instrutores serão designers e pesquisadores de UX atuais do Google, e você realizará atividades práticas que simulam situações reais de projeto de UX. Os alunos que concluírem os sete cursos deste programa de certificação estarão equipados para se candidatar a vagas de designers de UX iniciantes. 

Veja do que você será capaz ao final deste curso:
   - Aplicar cada etapa do processo de design de UX (ter empatia, definir, idealizar, criar protótipos e testar) para criar designs com foco no bem social.
   - Identificar as diferenças entre apps para dispositivos móveis e aplicativos responsivos da Web.
   - Compreender as abordagens de aprimoramento progressivo e degradação graciosa para criar designs para diversos dispositivos. 
  - Criar wireframes, maquetes e protótipos de baixa e alta fidelidade no Figma ou no Adobe XD. 
   - Adicionar um novo projeto de design ao seu portfólio profissional de UX. 
   - Preparar seu portfólio de trabalhos de design para a candidatura a vagas. 
   - Fazer entrevistas para um emprego de design de UX de nível básico. 
   - Determinar se o trabalho freelance em design é uma carreira adequada para você.

Este curso é adequado para designers de UX iniciantes que concluíram os seis cursos anteriores do Certificado de Design de UX do Google.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""domainId"": ""arts-and-humanities"", ""subdomainId"": ""music-and-art""}]","[""82360329""]","[""Google Career Certificates""]",BEGINNER,Design de uma experiência do usuário para o bem social e preparação para o mercado,"[""463""]",http://coursera-university-assets.s3.amazonaws.com/fa/79e521abf14610b4fec9d677901916/0.png,"[""Google""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/07/d505bf933248d9b1a1419f173464b0/certs_squareresize1.png,"[""pt-BR""]","[""VMM1lDgkEeym8A7cXo-JEw"", ""qqcPaq10Ee2PnA50d1Eplw""]",design-de-uma-experiencia-do-usuario-para-o-bem-social,[],,Rxr4EbiOVmjn4SjSk,zGelI5cPaJtWnMjnq
[],"[""VerifiedCert""]",3F4Us6YgEeyjPxJkzIUqCw,v2.ondemand,"The skills you learned in the military will go a long way toward helping you succeed in college, but if you’re looking for some extra support – or an academic tune-up – then you’ll find it in this course. We know that the culture of higher education is different from the culture of the military in meaningful ways, and we also know that one of the keys to excelling in college–especially for student veterans–is learning to navigate these differences successfully, right from the very start.

This course aims to help you do just that. First, the course will orient you to the norms and expectations of the college classroom. The quicker you know what is expected of you, the quicker you can start learning. Second, the course will offer you strategies to ease your transition, to help you achieve your academic goals, and to allow you to make the most of your college education.

While this course is open to everyone, the content has been tailored specifically for student veterans currently pursuing higher education, active duty service members who aspire to start school or return to school soon, and higher education professionals who work to support student veterans at their schools. If this sounds like you, and if you’re ready to learn how to make your transition easier and more successful, then we hope you’ll join us.

This online curriculum may be used in a variety of ways, including, but not limited to, as a start-to finish, self-directed online experience (MOOC). It can also, in its current format, serve as an “orientation” for other student veteran success programs. We also invite you to utilize this resource as a library/toolkit of academic success strategies, a tool for flipped classroom pedagogy, or a companion text for on-the-ground transition courses.

We welcome the opportunity to assist higher education institutions (both 2-year and 4-year), military installation education services officers and transition assistance programs, veteran focused non-profit organizations, and more. To get underway, contact us at the Columbia University Center for Veteran Transition and Integration.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""123135562""]","[""Robert Jenkins""]",BEGINNER,University Studies for Student Veterans,"[""40""]",http://coursera-university-assets.s3.amazonaws.com/aa/5bd170463311e7b9aab976f3e51f91/286OfficialColumbiaLogo.png,"[""Columbia University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/5a/89d66fc0c441c39461809e873defed/USSV_image_1200x1200px.png,"[""en""]",[],university-studies-for-student-veterans,[],"12 weeks of study, 2-3 hours per week",buy0h1XAVy9YoOdNw,oLlt6yVRdykamlFIw
[],"[""VerifiedCert"", ""Specialization""]",RFzin6ZHEe2vIArAL4DD4w,v2.ondemand,Do you struggle to relate to others outside the scope of work? Do you need to learn to express compassion for your teammates and appreciate them as people? Learn these skills and more from the Building Relationships with Communication course!,"[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""123403555""]","[""CareerCatalyst ""]",BEGINNER,Building Relationships with Communication,"[""287""]",,"[""Arizona State University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e0/5fc39f773a4221b523dd7aa42b757f/FE-Communication-Course-Page-Image.png,"[""en""]","[""lP_cI6f3Ee2KbQqMMh6baw""]",buildingrelationshipswithcommunication,[],,buy0h1XAVy9YoOdNw,oLlt6yVRdykamlFIw
[],"[""VerifiedCert"", ""Specialization""]",pTXPEMFlEfCR6wr_yMSqQw,v2.ondemand,"This course is designed for managers who want to master the interpersonal and professional communication skills necessary to lead high-performing teams. Throughout the course, you’ll learn how to:

- Communicate with clarity and professionalism across verbal, written, and digital channels
- Apply active listening and empathy to build deeper rapport and mutual understanding
- Identify diverse communication styles and adapt your approach to navigate personality differences
- Navigate difficult conversations and manage conflict while maintaining trust and psychological safety

You’ll hear from organizational consultants with expertise in work psychology who share research-backed best practices to help new leaders succeed. You will demonstrations on how to rewrite unclear messages into professional communications and walk through real-world examples of effective listening. You'll also have access to interactive, scenario-based activities giving you the opportunity to practice navigating tension and building trust in a safe environment.

By the end of the course, you’ll feel more confident in your ability to communicate effectively and build the strong professional relationships required for leadership success.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""197523410"", ""184221016""]","[""Andi Lassiter, Ph.D."", ""Daniel Sachau, Ph.D.""]",BEGINNER,Communication and Relationship Building,"[""3457""]",http://coursera-university-assets.s3.amazonaws.com/bc/7fa3f55a534965926746fb36262c94/MSU_RGB_purple_gold_200x64_PNG.png,"[""Minnesota State University, Mankato""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d3/1fba61d4d3419fb4e4d81d047595e8/Communication-Relationship-Building-Logo-Image.png,"[""en""]","[""I83ogLaWQoq7rRsN-Kom6A""]",communication-and-relationship-building,[],"3 weeks, 2-3 hours/week",buy0h1XAVy9YoOdNw,oLlt6yVRdykamlFIw
[],"[""VerifiedCert"", ""Specialization""]",2O5AI0zLEfCXGQ7_O0Gvvw,v2.ondemand,"Create a workplace where every employee feels respected, valued, and empowered to contribute. Diversity challenges, unconscious bias, microaggressions, and exclusion can weaken collaboration, employee engagement, and organizational performance.

This practical diversity and inclusion course helps organizations, corporate teams, managers, HR professionals, and employees turn awareness into meaningful workplace action. Learn to recognize hidden bias, support fairer decisions, respond appropriately to discriminatory behavior, strengthen inclusive collaboration, and build accountability across teams. 

The course also explores D&I audits, Employee Resource Groups, inclusive hiring practices, as well as sustainable culture change through realistic workplace scenarios. 

Designed for professionals at every career level, this course delivers practical skills that can be applied immediately.

Enroll today to help develop better teams, build a better company culture, and establish a place where diverse, talented employees can flourish.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""148676017""]","[""LearnKartS""]",BEGINNER,Diversity and Inclusion in the Workplace,"[""1692""]",http://coursera-university-assets.s3.amazonaws.com/25/1113d36cd942d4a4013a6c4ef39e19/200x48.png,"[""LearnKartS""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/db/8e09d36a9e484fb716f4eea0c22505/Diversity-and-Inclusion.png,"[""en""]","[""VH1MBdUkSZSwKlFkb-fgeQ"", ""hFujDSe-QPe72alxxmJvfg""]",diversity-inclusion-training,[],,buy0h1XAVy9YoOdNw,oLlt6yVRdykamlFIw
[],"[""VerifiedCert"", ""Specialization""]",ov1xf4gpEe-DEBK9SfSQ3Q,v2.ondemand,"Develop Agile Leadership skills. Master change management, evolve leadership theories, and Agile principles to drive collaboration, empower teams, and lead effectively in dynamic environments.

This Agile Leadership Principles course takes you from foundational leadership concepts to advanced agile practices. You’ll explore how modern leadership values collaboration, continuous improvement, and empowering teams. Learn to facilitate self-organizing teams, delegate effectively, and align your team around shared goals.

The course covers evolving leadership theories, the difference between leadership and management, and how agile integrates the best of modern leadership practices. Understand key agile roles like Scrum Master and Product Owner to lead projects smoothly and foster a motivated, autonomous team environment.

Designed for new and experienced leaders, this course emphasizes developing an agile mindset—embracing transparency, adaptability, and continuous learning. By the end, you’ll be ready to create high-performing teams, improve decision-making, and navigate change with agility.

Join now to transform your leadership approach and make a lasting impact in your organization.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""78853749""]","[""John Johnson""]",INTERMEDIATE,Agile Leadership Principles and Practices,"[""32""]",http://coursera-university-assets.s3.amazonaws.com/9b/d0628a6fff48e0ab8d267da710e8ba/Coursera_UMDInformal_360x360-neww.png,"[""University of Maryland, College Park""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/11/ba5bebe8954a3aa6b868f3a3057e60/EVPM-Spec-Coursera_Logo_1200x1200_TEMPLATE-5-.png,"[""en""]","[""SGfD_qP6TZa5D7ON2GcL-g""]",agile-leadership-principles-and-practices,[],"4 weeks, 2-3 hours a week",buy0h1XAVy9YoOdNw,oLlt6yVRdykamlFIw
[],"[""VerifiedCert"", ""Specialization""]",_igbToEHEe-uIwr_5K4XQQ,v2.ondemand,"This is primarily aimed at anyone who has attempted learning English and want a second chance at it, and/or additional practice. This course will focus on the theme of travel to develop and build basic English skills and may already be at A1/A2 level. At the end of this course, you will be able to recognize and accurately use an expanded range of everyday vocabulary in context, construct grammatically correct sentences and short paragraphs using fundamental grammar rules, understand and articulate simple ideas effectively, and demonstrate increased confidence in listening to and speaking in English through practical, everyday interactions.","[{""domainId"": ""language-learning"", ""subdomainId"": ""learning-english""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""24177384""]","[""Christina Gifford""]",BEGINNER,Basic English Skills : Visit California,"[""83""]",http://coursera-university-assets.s3.amazonaws.com/c1/52e2b552e74c8d9455c00137787477/UCD-logo-200x48px.png,"[""University of California, Davis""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/4d/93e513d1f944d2a003772d5cdff79a/Course-3_1200x1200.png,"[""en""]","[""w70H1kaBTpqVA5f8rPnsvQ""]",basic-english-visit-california,[],"4 weeks of study, 2-5 hours/week",buy0h1XAVy9YoOdNw,oLlt6yVRdykamlFIw
[],"[""VerifiedCert""]",IN_dK3c4Ee6kWApTcsKBBQ,v2.ondemand,"This course will examine the various ways that individuals engage in a democratic society during the 21st century. Students reflect on their involvement, and sense of responsibility to something beyond individual pursuits, and how they can make a difference within the various contexts of neighborhoods, communities, nationally and globally. Exploration of relevant social problems, critical examination and reflection on what it means to be a citizen within these various contexts as well as an examination of personal values and assumptions, assist students in gaining a deeper understanding of themselves relative to the larger social context. This course also provides opportunities for the development of civic skills and values to enhance the student’s capacity to positively impact their community.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""101849927""]","[""Miranda Williams""]",,Pathways to Civic Engagement,"[""559""]",http://coursera-university-assets.s3.amazonaws.com/0f/810132bd0c4e618b32fd5a7159f7ed/UNT-logo1.png,"[""University of North Texas""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/fb/e316b8077044239c688e8412275af8/arrows-1969944_1920.png,"[""en""]",[],pathways-to-civic-engagement-mooc,[],,buy0h1XAVy9YoOdNw,oLlt6yVRdykamlFIw
[],"[""VerifiedCert"", ""Specialization""]",VIIcqc3AEeu0KQ5V9fFcUQ,v2.ondemand,"In this course, you will look at how to work with a diverse range of people to create and lead a high performing team. You will consider the differences between work groups and teams and explore team dynamics, the nature of remote teams and cross-cultural implications of leading teams. You will also discover how to effectively lead your peers, deal with blockers and disruptors, set objectives and delegate. 

This course is aimed at leaders and managers who have five to six years experience and who are beginning to manage teams, customers and clients more regularly or more directly. Learners will likely have a technical or professional early career but as they are progressing in their careers, they are having to start grappling with the issues of team and organisational  leadership.

By the end of this course, you will be able to:

 – Explain the differences between a team and work group, and why this is important for a leader.
 – Describe strategies for leading peers, dealing with blockers and disruptors.
 – Set effective objectives, know best practice for delegation and techniques to drive performance in your teams.
 – Hold important, challenging conversations which leaders need to have, and implement the key elements of coaching and mentoring as a leader.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""79156611"", ""93131293"", ""81743542""]","[""Dr Nigel Spencer"", ""Mike Mister"", ""Arun Singh""]",ADVANCED,Stepping Up: Leading Others,"[""776""]",http://coursera-university-assets.s3.amazonaws.com/bb/c175befb014f0d959a82d9cd7ac2be/QMUL-Logo-White.png,"[""Queen Mary University of London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/63/bbd10acf084748abce74323eae2efc/Course-3-2-.png,"[""en""]","[""KLYQ_8-REeuEhhLKgO18hw""]",stepping-up-leading-others,[],,buy0h1XAVy9YoOdNw,oLlt6yVRdykamlFIw
[],"[""VerifiedCert""]",0Nk7vTzVEeuAmQ4FR3Ku3Q,v2.ondemand,"By the end of this project, you will be able to use Canva to create a presentation that uses charts to present data. In this project we will create a three-page sales presentation that incorporates a bar graph, line graph, and pie chart to display similar data in different ways. You will learn how to create a simple, yet effective, and aesthetically pleasing sales presentation that can be used in many different areas of business. Once your presentation is complete, you will be able to use Canva design elements to add style to your presentation, and you will have the skills to share, save, and present your pages to others.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""71153426""]","[""Colleen Haddleton""]",BEGINNER,Presenting Data Using Charts with Canva,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a0/12fe6f5e464ef6b1f538a3687414ea/jonathan-francisca-Q-y8EsExqYA-unsplash.jpg,"[""en""]",[],presenting-data-using-charts-canva,[],1 hour 30 minutes,buy0h1XAVy9YoOdNw,oLlt6yVRdykamlFIw
[],"[""VerifiedCert""]",Wv_qFVYzEeWKXg4Y7_tPaw,v2.ondemand,"The aim of this course is to give you a practical guide to managing people at work. It does not matter whether you are a first time manager in a shop or a middle manager in an office environment; the same skills apply to every work place. In the course you will engage with some HR theories and then see how they translate into every day working life. 

At the end of the course we hope you will be better equipped to choose a suitable employee, to motivate and appraise your team, to manage conflict in the work place and to lead and make decision on a day to day basis.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""6872692""]","[""Dr Chris Dewberry""]",,The Manager's Toolkit: A Practical Guide to Managing People at Work,"[""26"", ""349""]",http://coursera-university-assets.s3.amazonaws.com/64/897490dbba11e891a84769f318bf74/1-Colour-Logo-Black-Text-CMYK.png,"[""University of London"", ""Birkbeck, University of London""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e9/a802a0f66511e59d3853951d95b421/shutterstock_188617211.jpg,"[""en""]",[],people-management,[],"6 weeks of study, 1-3 hours/week",buy0h1XAVy9YoOdNw,oLlt6yVRdykamlFIw
[],"[""VerifiedCert""]",OciPrfK8EeqTkwp4rvMwmw,v2.ondemand,"Welcome to this guided project on ""Create a Departure and Personal Statements for interviews”. My name is Dianna Eckford, and I will be your instructor for this project. I currently coach a wide variety of Silicon Valley professionals who have recently been impacted from their previous employer.  

In this 45 minute project-based course, I’ll teach you how to create a Departure statement that will help you answer your first behavioral question recruiters and hiring managers' will ask: “Why are you looking for a new job?” 

I will also teach you how to create a Personal Statement that will help you answer your first behavioral question recruiters and hiring managers’ will ask: “Tell me about yourself.”

By the end of this project, you will have created a Departure and Personal Statement for interviews

Learning Objective 1: Gmail and Sign in
Learning Objective 2: Accessing Interactive Files
Learning Objective 3: Create a Departure Statement for interviews
Learning Objective 4: Incorrect Departure Statements
Learning Objective 5: Create a Personal Statement for interviews
Learning Objective 6: Incorrect Personal Statement
Learning Objective 7: Create a Personal Statement Using a Job Description
Learning Objective 8: Recite a Departure and Personal Statements in 25 t0 60 seconds
Learning Objective 9: Create a trusted contact network list of family, friends and business associates



Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""54286796""]","[""Dianna Eckford""]",BEGINNER,Create a Departure and Personal Statement for Interviews,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/bc/c306ae288a45179561e272eac325c1/Computer-2.jpg,"[""en""]",[],departure-personal-statement-interviews,[],45 minutes,buy0h1XAVy9YoOdNw,oLlt6yVRdykamlFIw
[],"[""VerifiedCert""]",1-18ESUsEfGJPQr_yBaj8w,v2.ondemand,"Stand out in today’s competitive job market with practical job-hunting and CV optimization strategies. Learn how recruiters search, shortlist, and select candidates for interviews.

This course helps professionals improve interview opportunities by understanding recruitment processes, employee referral systems, job portal visibility, LinkedIn networking, and recruiter expectations. Learners will discover how to create keyword-optimized CVs, improve professional branding, and apply strategic job search techniques that increase recruiter attention.

The course also explains how organizations structure hiring, why senior-level opportunities become more competitive, and how candidates can position themselves effectively for career growth. Special focus is given to LinkedIn visibility, referral-based applications, profile optimization, and lateral career movement strategies.

By the end of the course, learners will be able to confidently optimize their job search approach, strengthen recruiter engagement, and improve their chances of securing interviews and career advancement opportunities.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""136048342""]","[""EDUCBA""]",,Job Search and CV Optimization,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/43/0d0ba3772941baacbeaf2a904d2a76/684.1.png,"[""en""]",[],job-search-cv-optimization,[],,buy0h1XAVy9YoOdNw,oLlt6yVRdykamlFIw
[],"[""VerifiedCert"", ""Specialization""]",2dQPqCghEe-I1wr_7a5dgw,v2.ondemand,"Unlock the power of self-awareness—the ultimate leadership skill and the foundation for all other essential skills. Recruiters and hiring managers highly seek leaders who understand their strengths, manage their emotions, and make thoughtful decisions.

Developing self-awareness boosts your effectiveness, communication, and ability to inspire and lead teams to success. This course will help you master this vital skill to stand out and excel in your career.

Power skills are key to becoming a great leader.

This course helps you truly know yourself by identifying your core strengths, personality traits, and decision-making style. 

You’ll learn how to accurately assess your soft skills, focus on what you can change, and build the essential skills that fuel professional and life success. 

With self-awareness as your foundation, this course will give you the tools to grow as a leader and unlock your full potential.","[{""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""176699792""]","[""Jocelyn Davis""]",BEGINNER,Leading with Power Skills: Building Self-Awareness in Teams,"[""32""]",http://coursera-university-assets.s3.amazonaws.com/9b/d0628a6fff48e0ab8d267da710e8ba/Coursera_UMDInformal_360x360-neww.png,"[""University of Maryland, College Park""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/13/c346df6ea54a1680599d86a638ae82/Building-Self-Awareness-in-Teams.png,"[""en""]","[""D-0cqB2mQJ6Si4Y7ks1iog""]",leading-with-power-skills-building-self-awareness-in-teams,[],"5 weeks, 2-3 hours a week",buy0h1XAVy9YoOdNw,oLlt6yVRdykamlFIw
[],"[""VerifiedCert"", ""Specialization""]",vVZCauW6EfCH2hInJAiZDQ,v2.ondemand,"Deliver feedback that inspires growth. This course equips professionals with the mindset, tools, and strategies to provide effective, growth-oriented feedback in any setting.

Effective feedback is a vital part of workplace growth, but giving it well takes intention. Giving Feedback, led by Dr. Elissa Adame of ASU’s Hugh Downs School of Human Communication, teaches you how to craft feedback that builds trust, encourages development, and transforms fixed mindsets. Learn how to recognize messages of identity, tailor your communication, and build responses that motivate change. This course blends evidence-based frameworks with practical exercises to help you improve performance and morale across your team.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""194113562""]","[""Tyler Galarneau""]",BEGINNER,Professional Skills: Giving Feedback,"[""287""]",,"[""Arizona State University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/60/54ef51f25542d2b9f144aa67bcc714/CC-PS-FC-GF.jpg,"[""en""]","[""lKShitcVSxKk5SI5HSQDYQ"", ""xnRrNCYETkyYV3GJvriPvQ""]",giving-feedback,[],Approximately 8 hours to complete,buy0h1XAVy9YoOdNw,oLlt6yVRdykamlFIw
[],"[""VerifiedCert"", ""Specialization""]",0h717EHgEfGX6BIPBfq9BQ,v2.ondemand,"Conflict is inevitable in all parts of life. When it’s time to resolve those conflicts, it’s important to be equipped with the best tools and tactics. 

In this course from conflict expert Lynne Hurdle, you'll learn how to avoid common mistakes when resolving conflict. you'll discover how to listen effectively, avoid judgment, how to respond appropriately, and how to overcome common obstacles. you'll also learn how to avoid making assumptions, the danger of not speaking up for yourself, and what happens when you try to force things forward with the unfortunate language choices. 

By eliminating these common mistakes you'll be more easily able to tame the stress and chaos that conflict creates in both business and personal life.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""205543826""]","[""Madecraft""]",BEGINNER,Mistakes to Avoid When Resolving Conflict,"[""1243""]",http://coursera-university-assets.s3.amazonaws.com/08/ff41c2369e486eacdf0d43ae05607d/Wordmark_200x48.png,"[""Madecraft""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7c/006fe7a9d7449d8d8cd74199e26f40/0152_00_00_IMG1080_coursethumbnail_coursera.jpg,"[""en""]","[""CbMs7vF7R-WGdgagvuleBw""]",mistakes-to-avoid-when-resolving-conflict,[],,buy0h1XAVy9YoOdNw,oLlt6yVRdykamlFIw
[],"[""VerifiedCert"", ""Specialization""]",VxePzJYqEfC8Mw47UNSH0w,v2.ondemand,"Welcome to the “Practical AI and prompting for HR professionals” — a unique, hands-on course designed to help you get practically trained on various job-specific AI use cases and technologies across various modalities. You will discover AI-powered tools to enhance your daily tasks, gaining immediate hands-on experience. 
 
You will: 
- Intensively practice and apply AI-driven HR-specific use cases—making AI a daily companion in your workflows and daily job routines. 
- Start to use AI technologies into your daily sales activities with hands-on exercises in interactive playgrounds and sandbox environments, increasing your confidence to experiment, iterate, and optimize AI-driven tools and technologies right in the course. 
- Master prompting techniques & discover prompting libraries for different Generative AI models to craft high-impact HR communications, recruitment campaigns, and talent engagement initiatives—unlocking new ways to attract top candidates and retain stellar employees.
- Get inspired by participating in a project to conceptualize a personalized AI use case for your job role.

Welcome to the unique “Practical AI and prompting for HR professionals” course. Just start your AI journey and discover all the fascinating opportunities opened up for you by Artificial Intelligence.","[{""domainId"": ""business"", ""subdomainId"": ""business-strategy""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""181352174""]","[""AI Business School""]",INTERMEDIATE,Practical AI and prompting for HR professionals,"[""3341""]",http://coursera-university-assets.s3.amazonaws.com/b2/ea7d5b8c7a4bf7a34a9f08b944eee7/200x48-logo.png,"[""AI Business School""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c9/06589b99b840ab803354d8ac6c69b7/Course-2--600x600.png,"[""en""]","[""CJMY_xN7SFiq88Y-l27-3A""]",practical-ai-and-prompting-for-hr-professionals,[],,buy0h1XAVy9YoOdNw,oLlt6yVRdykamlFIw
[],"[""VerifiedCert"", ""Specialization""]",KDwVGyDeEfCUKg7orgMBjQ,v2.ondemand,"In today's digital workplace, emails frequently speak before you.

A concise, courteous, and well-structured communication can foster trust, close transactions, and improve relationships, while a sloppy one can do the opposite. This Email Etiquette course is intended to change the way you write and manage emails so that each message works in your favor.

You'll begin by learning about the hidden costs of poorly written emails and how to prevent typical blunders that undermine confidence. From there, you'll learn practical frameworks like the SCRAP method and the Rule of One to help you write in a short, professional, and impactful way.

Beyond the fundamentals, the course delves into modern business needs such as addressing urgent or confusing emails, making smart Reply vs. Reply All decisions, managing CC/BCC etiquette, and striking the proper tone for worldwide audiences. You'll also learn how to use AI tools like ChatGPT to develop, improve, and optimize your communications.

By the end, you'll have learned how to utilize email as a strong weapon for influence, professionalism, and career advancement.

Enroll now and make every email count!","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""148676017""]","[""LearnKartS""]",BEGINNER,Email Etiquette,"[""1692""]",http://coursera-university-assets.s3.amazonaws.com/25/1113d36cd942d4a4013a6c4ef39e19/200x48.png,"[""LearnKartS""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/92/cf95d7599643a0a0cdb14ff6e2f3f0/Email-etiquette---800-800.png,"[""en""]","[""CZcNcmSoR56AS8AMvJTuNA"", ""VH1MBdUkSZSwKlFkb-fgeQ""]",email-etiquette-training,[],"2 weeks of study, 2–3 hours per week",buy0h1XAVy9YoOdNw,oLlt6yVRdykamlFIw
[],"[""VerifiedCert"", ""Specialization""]",5uXCfFu2EeSU0SIACxCMgg,v2.ondemand,"Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on. 

Topics covered include multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks, in two separate parts. 

The first part, Bioinformatic Methods I (this one), deals with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis and metagenomics. 

The second part, Bioinformatic Methods II, covers motif searching, protein-protein interactions, structural bioinformatics, gene expression data analysis, and cis-element predictions. 

This pair of courses is useful to any student considering graduate school in the biological sciences, as well as students considering molecular medicine. Both provide an overview of the many different bioinformatic tools that are out there. 

These courses are based on one taught at the University of Toronto to upper-level undergraduates who have some understanding of basic molecular biology. If you're not familiar with this, something like BIO101 from Saylor Academy (https://learn.saylor.org/course/view.php?id=889) might be helpful. No programming is required for this course. 

Bioinformatic Methods I is regularly updated, and was completely updated for January 2026.","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""3133590""]","[""Nicholas James Provart""]",BEGINNER,Bioinformatic Methods I,"[""11""]",https://coursera-university-assets.s3.amazonaws.com/e0/c3219157fdcd439fb3b765c4b723e5/UofT-Crest-Wide.png,"[""University of Toronto""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/32/11e2f53c30ecf81555fbb3a928658e/Thumbnail2.png,"[""en""]","[""_E9_DnG4EemUtRLzpfu1HA""]",bioinformatics-methods-1,[],12-18 hours videos and labs,DLSeEikVLTMbT4N7d,HBqBgqxrzJD0Ssn5f
[],"[""VerifiedCert""]",FjD-ZB8oEeScWCIACnuVZQ,v2.ondemand,"Often called “the cornerstone” of public health, epidemiology is the study of the distribution and determinants of diseases, health conditions, or events among populations and the application of that study to control health problems. By applying the concepts learned in this course to current public health problems and issues, students will  understand the practice of epidemiology as it relates to real life and makes for a better appreciation of public health programs and policies. This course explores public health issues like cardiovascular and infectious diseases – both locally and globally – through the lens of epidemiology.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""704621"", ""2694658""]","[""Dr.  Karin Yeatts  "", ""Dr. Lorraine Alexander  ""]",,Epidemiology: The Basic Science of Public Health,"[""77""]",https://coursera-university-assets.s3.amazonaws.com/da/b939dea08f3e1a35e1a1164d3a8e14/200px-48px_white2.png,"[""The University of North Carolina at Chapel Hill""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://d15cw65ipctsrr.cloudfront.net/91/eb6fa07bd62fd195025eded9cd998b/epid-mooc.jpg,"[""en""]",[],epidemiology,[],5.5 hours of videos and quizzes,DLSeEikVLTMbT4N7d,HBqBgqxrzJD0Ssn5f
[],"[""VerifiedCert""]",hEMZ5zJuEeaGtRI0HQleow,v2.ondemand,"HI-FIVE (Health Informatics For Innovation, Value & Enrichment) Training is a 12-hour online course designed by Columbia University in 2016, with sponsorship from the Office of the National Coordinator for Health Information Technology (ONC).  The training is role-based and uses case scenarios.  Also, it has additional, optional modules on other topics of interest or relevance.  Although we suggest to complete the course within a month's timeframe, the course is self-paced and so you can start and finish the course at anytime during a month's time period. No additional hardware or software are required for this course.

Our nation’s healthcare system is changing at a rapid pace. Transformative health care delivery programs depend heavily on health information technology to improve and coordinate care, maintain patient registries, support patient engagement, develop and sustain data infrastructure necessary for multi-payer value-based payment, and enable analytical capacities to inform decision making and streamline reporting.  The accelerated pace of change from new and expanding technology will continue to be a challenge for preparing a skilled workforce so taking this training will help you to stay current in the dynamic landscape of health care.

This course is one of three related courses in the HI-FIVE training program, which has topics on population health, care coordination and interoperability, value-based care, healthcare data analytics, and patient-centered care.  Each of the three courses is designed from a different perspective based on various healthcare roles.  This first course is from a clinical perspective, geared towards physicians, nurse practitioners, physician assistants, nurses, clinical executives and managers, medical assistants, and other clinical support roles.  However, we encourage anyone working in healthcare, health IT, public health, and population health to participate in any of the three trainings.","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}, {""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}]","[""21813456""]","[""Rita Kukafka""]",BEGINNER,"HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective)","[""40""]",http://coursera-university-assets.s3.amazonaws.com/aa/5bd170463311e7b9aab976f3e51f91/286OfficialColumbiaLogo.png,"[""Columbia University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/2f/8085e0e66b11e6aba7430e9ce3db44/Doctor-with-patient.jpg,"[""en""]",[],hi-five-clinical,[],,DLSeEikVLTMbT4N7d,HBqBgqxrzJD0Ssn5f
[],"[""VerifiedCert"", ""Specialization""]",QC5Uz7SvEfC1Og5qMiqVRQ,v2.ondemand,"Did you know that scheduling errors account for nearly 25% of patient no-shows and missed appointments in clinics? Effective roster analysis can help identify these problems before they disrupt operations or impact patient satisfaction.

This Short Course was created to help healthcare administration professionals enhance their scheduling management capabilities to ensure operational efficiency and positive patient experiences in medical office environments.

By completing this course, you will be able to analyze appointment rosters to detect scheduling conflicts, administrative gaps, and workflow inefficiencies, allowing you to take proactive steps that keep clinic operations running smoothly and patient satisfaction high.

By the end of this 2-hour long course, you will be able to:

Analyze appointment rosters to identify and flag potential scheduling conflicts and administrative issues.

This course is unique because it focuses on real-world scheduling challenges and data-driven roster analysis, giving you the skills to transform appointment lists into actionable insights that improve clinic efficiency and reduce patient wait times.

To be successful in this project, you should have:

Basic medical office procedures knowledge
Understanding of appointment scheduling concepts
Familiarity with healthcare administrative terminology
Computer navigation skills","[{""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}, {""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""193200302""]","[""Hurix Digital""]",BEGINNER,Analyze Rosters: Clinic Scheduling Issues,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/41/d250f8ed0b4c22aced941b62133a84/heathcarecourses.png,"[""en""]","[""PF_fhJ0ITSyltqaVq9LVGQ"", ""TI9_3udlT0StqbR5p_ceYw""]",analyze-rosters-clinic-scheduling-issues,[],88 minutes,DLSeEikVLTMbT4N7d,HBqBgqxrzJD0Ssn5f
[],"[""VerifiedCert"", ""Specialization""]",tFM3977GEfC4_Q5X5BH3bw,v2.ondemand,"In the rapidly evolving world of virtual healthcare, clinical skills are only half the story. Telemedicine: Evaluate, Guide, and Train is a foundational course for healthcare professionals ready to master the art of virtual patient care. This course moves beyond basic platform competency to teach you how to systematically evaluate and improve the quality of telemedicine interactions using objective data and proven communication frameworks.

You will learn to conduct virtual audits, analyze patient engagement metrics, and interpret automated feedback to identify concrete areas for improvement. Through hands-on activities, you will not only assess performance but also design the tools necessary for excellence, such as standardized communication guidelines and effective training materials. Featuring expert-led video demonstrations, AI-powered coaching dialogues, and a capstone project where you build a complete Telemedicine Excellence Toolkit, this course equips you with the skills to enhance patient rapport, ensure consistent quality of care, and lead the development of high-performing telehealth teams.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}, {""subdomainId"": ""support-and-operations"", ""domainId"": ""information-technology""}]","[""199677978""]","[""LearningMate""]",BEGINNER,"Telemedicine: Evaluate, Guide, and Train","[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/29/abb032767d4569b5b4a06d892a805e/heathcarecourses.png,"[""en""]","[""ugViqIqPTlianTfzCxcFSQ""]",telemedicine-evaluate-guide-and-train,[],Approximately 120 minutes,DLSeEikVLTMbT4N7d,HBqBgqxrzJD0Ssn5f
[],"[""VerifiedCert""]",8HCgdLHnEfC9Cw4p3_7ILw,v2.ondemand,"This introductory course examines the foundations of health misinformation and disinformation and how they affect public health. Learners explore the distinction between public and individual health, key drivers of misinformation, and common psychological influences such as confirmation bias and the illusory truth effect. The course introduces core concepts, red flags, and scientific literacy fundamentals, including peer review, retractions, and how vaccines work, to help learners build a strong public health literacy toolkit.

This course is part of the ""Fighting Misinformation in Public Health"" certificate program offered by the University of Alberta Continuing Education.  

For more information, visit this page: https://coned.ualberta.ca/public/category/courseCategoryCertificateProfile.do?method=load&certificateId=22473053","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""education""}]","[""168633652""]","[""Sara van Leusden""]",BEGINNER,Fighting Misinformation in Public Health,"[""146""]",http://coursera-university-assets.s3.amazonaws.com/f6/4559ba784341fe8084f538436e3ee8/UA_Logo_Green_RGB-1-.png,"[""University of Alberta""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/73/671cadce9b4ad5825cde7d7e76c934/MISINFO-course-tile.png,"[""en""]",[],fighting-misinformation-in-public-health,[],"3 weeks of study, 4 hours/week",DLSeEikVLTMbT4N7d,HBqBgqxrzJD0Ssn5f
[],"[""VerifiedCert""]",1AOj5h1WEeaSjBI-YFKkww,v2.ondemand,"Last date for individual learners to enrol in the course: 29 July 2026.

This course is multidisciplinary in nature, and aims to equip the global audience of interested lay people, people with chronic disease, public health researchers, health clinicians, students, administrators, and researchers to reflect on the overall impact of the burden of chronic disease . It shows how all chronic diseases (obesity, diabetes, cardiovascular disease, chronic obstructive pulmonary disease, and cancer) are related by a set of common causes, and that such diseases should be tackled, not individually, but as part of a complex system, with interrelated contributing factors. These factors are genetic, environmental, psychological, economic, social, developmental, and media related. 

The Charles Perkins Centre at the University of Sydney is a unique interdisciplinary education and research hub which seeks solutions to chronic disease through a complex systems approach. Academics in many disciplines (in Science and Medicine, but also in Architecture, Humanities, Law etc)  work in a collaborative fashion to produce novel solutions to the problems of chronic disease.  All contributors and participants in this course are members of the Charles Perkins Centre and will  speak from the unique interdisciplinary perspective that this Centre affords. 

The course will describe a complex systems approach as the most productive way to ease the burden of chronic disease. It then describes  these diseases in detail, their risk factors, and the environmental and biological factors that have led to the  current epidemic of  obesity, diabetes and cardiovascular disease. Finally, the solutions – and more importantly the process for finding solutions- is the subject of the last module. No one approach by itself can ever be the answer, and certainly not a simple diet and exercise approach. 

The entire course consists of 5 content modules, plus an extra module for completing assignments and discussions, and takes about 6 weeks to complete. Completion certificates are issued on the basis of participation in all 6 modules. 

What you'll learn: 
-	How the Charles Perkins Centre recruits interdisciplinary teams to ease the burden of chronic disease
-	How a complex systems approach is necessary to provide solutions to a complex problem
-	The fundamentals of chronic disease research and where it is heading
-	The biggest risk factors for chronic disease and their global incidence
-	The biological, genetic, social, regulatory, and other influences that have inflated these risk factors
-	How to provide solutions globally for the reduction of chronic disease","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""26206517""]","[""Stephen Simpson""]",BEGINNER,"Easing the burden of obesity, diabetes and cardiovascular disease","[""264""]",https://coursera-university-assets.s3.amazonaws.com/e0/359240e64411e5a8a491ccf8ecd132/200x48-logo.png,"[""The University of Sydney""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/47/cb0ae0258011e79a13099ffc88343d/CDP-logo.png,"[""en""]",[],easing-the-burden-of-obesity-diabetes-cvd,[],,DLSeEikVLTMbT4N7d,HBqBgqxrzJD0Ssn5f
[],"[""VerifiedCert""]",QrJStTJkEeaVZA5K9cHVCQ,v2.ondemand,"This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to harness the avalanche of data openly available at your fingertips and which we are just starting to make sense of. We’ll investigate the different steps required to master Big Data analytics on real datasets, including Next Generation Sequencing data, in a healthcare and biological context, from preparing data for analysis to completing the analysis, interpreting the results, visualizing them, and sharing the results.

Needless to say, when you master these high-demand skills, you will be well positioned to apply for or move to positions in biomedical data analytics and bioinformatics. No matter what your skill levels are in biomedical or technical areas, you will gain highly valuable new or sharpened skills that will make you stand-out as a professional and want to dive even deeper in biomedical Big Data. It is my hope that this course will spark your interest in the vast possibilities offered by publicly available Big Data to better understand, prevent, and treat diseases.","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""algorithms"", ""domainId"": ""computer-science""}]","[""19890837""]","[""Isabelle Bichindaritz""]",ADVANCED,"Big Data, Genes, and Medicine","[""117""]",http://coursera-university-assets.s3.amazonaws.com/e0/31a3853a284a86baa3219a8207a66f/SUNY_NEW_LOGO_Gotham_horizontal.png,"[""The State University of New York""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/a6/aada507c3311e6acfdd3058ad114aa/twenty20_77368252-6f61-4e01-a7e9-5389a6269d13.jpg,"[""en""]",[],data-genes-medicine,[],"6 weeks of study, 3-5 hours per week",DLSeEikVLTMbT4N7d,HBqBgqxrzJD0Ssn5f
[],"[""VerifiedCert""]",tudrlqdjEeellg6wyPI6Pg,v2.ondemand,"We all have to breathe to live. But the air we breathe is polluted both outdoors and indoors. Each year, this pollution costs 7 million lives across the globe – and a lot of suffering. 1 in 8 deaths is due to air pollution. This course will provide you with an introduction to the most recent research in the field of health effects of air pollution as well as a broader understanding of sources and spread of air pollution and what we should do about it.
 
What is air pollution? What are the sources? How and where are we exposed outdoors and indoors? What happens in the body? Which diseases are the result? Who are the most vulnerable? How can we assess the effects of air pollution? And what should we do to reach the Sustainable Development Goal to “substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution”? These are some of the important questions we will address in the course.

During the course you will meet researchers and experts from the University of Copenhagen and the Technical University of Denmark. They work with different aspects of air pollution and health: toxicology, exposure assessment, epidemiology, engineering and health impact assessment. It is a global responsibility to combat the health impacts of air pollution, and this fight can only be won through new knowledge and global collaboration. 

We hope you will join us in the course and equip yourself to take part in this global and individual health challenge.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""social-sciences"", ""subdomainId"": ""governance-and-society""}]","[""29878793"", ""29854365"", ""30326112""]","[""Steffen Loft"", ""Peter Møller"", ""Zorana Jovanovic Andersen""]",BEGINNER,Air Pollution – a Global Threat to our Health,"[""63""]",http://coursera-university-assets.s3.amazonaws.com/bb/c1f0d9ca974b40b6786ff372e935e5/UCPH_wide_marketing_200_48px.png,"[""University of Copenhagen""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/53/795110cbb811e7a9660729dde7339b/Air-Pollution-a-Global-Threat-to-our-Health_175x175.jpg,"[""en""]",[],air-pollution-health-threat,[],"3 weeks of  study, 2-5 hours/week",DLSeEikVLTMbT4N7d,HBqBgqxrzJD0Ssn5f
[],"[""VerifiedCert"", ""Specialization""]",AIQ-x0NhEe-lIgr_zTB_Cw,v2.ondemand,"The feelings of being overwhelmed, stressed, and continually battling the amount of insufficient time for self-care are the reality in today’s world. Almost everyone knows what’s good for their well-being, yet we can’t find the time to put it into our daily routines. We know that exercising is good, that meditation pays dividends, and that sleeping enough is essential for us to functional optimally. Yet, this knowledge does not always translate to action. This course attempts to bridge that gap through the creation of habits, by suggesting well-being practices that are practical, impactful, and research backed. As we know, we can’t just meditate on our well-being; there are other factors at play as well. This course therefore touches upon deep rooted behaviors that come in the way of our well-being and provides practical, everyday strategies to manage them. 

Professionals seeking work-life balance and stress management techniques, young adults navigating transitions in life (college, career, relationships), parents juggling family responsibilities and personal well-being, individuals experiencing burnout or seeking to enhance their health, and anyone interested in developing healthier habits and enhancing their overall quality of life will find this course invaluable. Whether you're looking to refine existing self-care routines or establish new habits that support physical and mental well-being, this course provides practical strategies tailored to diverse life stages and challenges.

Participants should have an interest in personal development and an openness to learning new concepts and strategies. A willingness to implement self-care practices is essential for effectively applying the course's teachings. This course is designed to guide individuals through the process of habit formation and behavior change, focusing on cultivating habits that contribute to overall well-being and resilience.

After completing this course, learners will be able to recognize the significance of habits in shaping their lives, explain the process of habit formation using evidence-based strategies, and apply effective techniques for cultivating habits that promote well-being, such as exercise, meditation, and gratitude practices. Participants will also gain skills in identifying and addressing common behaviors that impact well-being, such as comparing oneself to others and difficulty in setting boundaries, thus fostering a holistic approach to personal health and happiness.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}, {""domainId"": ""personal-development"", ""subdomainId"": ""personal-development""}]","[""159688848"", ""141793623""]","[""Teena George"", ""Starweaver""]",BEGINNER,Well Being & Self Care: for Physical and Mental Health,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7b/107a81fab54d7c9d821f9499627c89/Self-Course.png,"[""en""]","[""vm2UIgnSSCmsiQCiL7zA2w""]",well-being-self-care-for-physical-and-mental-health,[],1 Hour,DLSeEikVLTMbT4N7d,HBqBgqxrzJD0Ssn5f
[],"[""VerifiedCert"", ""Specialization""]",x17McQVPEfG28A6LLakGFQ,v2.ondemand,"This course is aimed at individuals interested in strengthening their skills in caring for family members with chronic conditions, whether or not they have a background in the health field. Through five modules, you will explore the caregiver’s role in high-prevalence situations such as cancer, neurodegenerative diseases, cardiometabolic conditions, mental disorders with cognitive impairment, and problematic use of psychoactive substances.

You will develop skills to analyze the caregiving context, identify multidimensional needs, organize the role, make informed decisions, and solve common day-to-day problems. The learning pathway combines learning moments through practical and up-to-date resources such as core documents, videos, infographics, and interactive materials, along with spaces for collective reflection.

This course is unique because it integrates person-centered care with caregiver well-being, offering practical tools to provide support with greater safety, empathy, and quality of life.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}, {""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""68834333"", ""69994663"", ""34402774""]","[""Lorena Chaparro Diaz"", ""Sonia Patricia Carreño Moreno"", ""Diana Milena Jaramillo Quiceno""]",BEGINNER,Confidently caring for patients with chronic conditions,"[""675""]",http://coursera-university-assets.s3.amazonaws.com/37/df19cccbde4aa2aa01cc1999c78fca/Logotipo-200x48.png,"[""Universidad Nacional de Colombia""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/d5/7c955fae9e4494823c684a348f2e11/Imagen-en-formatos_1200X1200-1.png,"[""en""]","[""Qf6gUuEnTXSThf8AvJYxvg""]",confidently-caring-for-patients-with-chronic-conditions,[],19 hours aprox.,DLSeEikVLTMbT4N7d,HBqBgqxrzJD0Ssn5f
[],[],4cVok8fxEe2XXwqx_-522w,v2.ondemand,"Despite major gains in sexual and reproductive health and gender equity worldwide, abortion remains a topic rife with misinformation, disinformation and influenced by non-evidence-based policies. This introductory public health course provides accessible and foundational knowledge on the topic of abortion in the context of a changing reproductive health landscape. Highlighting expertise from Emory University researchers and community partners, this course provides an introduction to abortion from public health, medical, policy, social, and human rights perspectives for general audiences. Students will benefit from diverse learning opportunities through lectures, case studies, and self-reflection activities. Students will be introduced to several frames for thinking about abortion including those of reproductive justice, reproductive rights, reproductive health, life course, and health equity. By the end of the course, students will be able to examine their belief systems related to abortion and to identify and critique common misunderstandings related to abortion. Furthermore, students will explore the connection between social inequities and abortion to contextualize the future of abortion access in the rapidly changing present-day landscape.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}]","[""115259309"", ""132235829""]","[""Anna Newton-Levinson"", ""Subasri Narasimhan""]",BEGINNER,Public Health Approaches to Abortion,"[""23""]",https://coursera-university-assets.s3.amazonaws.com/b1/42666a764d1900edcdd474704d0a14/EU_280.png,"[""Emory University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/75/ed0021f2254909b6a7111053527b2f/illustration_Abortion-MOOC-1200x600.jpg,"[""en""]",[],public-health-approaches-to-abortion,[],"7 weeks of study, 1-3 hours per week",DLSeEikVLTMbT4N7d,HBqBgqxrzJD0Ssn5f
[],"[""VerifiedCert"", ""Specialization""]",1zkcUzABEfCJ7Ar_4vv1Rw,v2.ondemand,"This course explores how artificial intelligence is transforming athlete training and team performance. Students will analyze the role of wearable technology in collecting key data on physical performance, as well as its application in designing more effective and personalized training programs. 

The course also delves into the use of digital tools for injury prevention and recovery planning, showing how data can help anticipate risks and optimize return-to-play timelines. From data collection to advanced analytics, learners will discover how AI enables more informed strategic decision-making in real sports contexts. 

Real-world case studies illustrate how elite teams, such as Real Madrid C.F., are using these technologies to enhance player performance, reduce physical risks, and make better tactical decisions based on real-time analysis.","[{""subdomainId"": ""health-informatics"", ""domainId"": ""life-sciences""}]","[""163646902""]","[""Marisa Sáenz""]",BEGINNER,AI for Player Performance and Training,"[""2135""]",http://coursera-university-assets.s3.amazonaws.com/56/d6e8e5828a4507ad4c1ea4af25cda9/RM_Logo_Principal_Positiveescudo_RGB.png,"[""Real Madrid Graduate School Universidad Europea""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/23/c4109528284b8b9d4bf07473875b08/250625-especializacion-1-800x800-3.jpg,"[""en""]","[""Orxz5gd2R42_VCVD2CrX7g""]",ai-for-player-performance-and-training,[],,DLSeEikVLTMbT4N7d,HBqBgqxrzJD0Ssn5f
[],"[""VerifiedCert""]",PlY4xMN1EeuBnwpnLFLhFQ,v2.ondemand,"In humanitarian settings, mental ill-health is powerfully inter-connected with other non-communicable diseases (NCDs) such as cardiovascular diseases, cancers, diabetes and chronic respiratory diseases. Integrating mental health and psychosocial support (MHPSS) with NCD prevention and care might therefore be useful, both to be more effective, and to require fewer resources. There is, however, a lack of widely accepted guidelines that take this into account, and this course is intended to draw attention to that issue.

Attention to NCDs focused initially on four major disease categories (cardiovascular disease, diabetes, chronic respiratory disease and cancer) and four groups of associated risk factors (unhealthy diets, physical inactivity, tobacco use, and harmful use of alcohol). Recently, mental ill-health has been considered as the fifth NCD and environmental determinant as the fifth risk factor for NCDs – known as ‘5-by-5’ conditions. 

The course has a threefold aim: i) to explore evidence of interaction between mental ill-health and other NCDs and the role of psychosocial support in humanitarian response; ii) to explore what is being done and where; what level the determinants of health are being addressed at and the integration of mental health and psychosocial support or MHPSS and NCD prevention and care in humanitarian response; and iii) to identify and explore challenges, opportunities and lessons learned for integrating MHPSS and NCD prevention and care in humanitarian response.

The MOOC will be led by a course leader from the University of Copenhagen in close collaboration with academic teachers, the Danish Red Cross and IFRC Reference Centre for Psychosocial Support, Copenhagen, Denmark.","[{""subdomainId"": ""public-health"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}]","[""78354310"", ""89331749"", ""3953386"", ""86525387"", ""89267703"", ""37441851"", ""2611445"", ""89580723""]","[""Bishal Gyawali"", ""Dr. Ajay Risal"", ""Wietse A. Tol, PhD"", ""Saria Hassan"", ""Anouk Boschma"", ""Aebischer Perone Sigiriya"", ""Siri Tellier"", ""Carla Satie Kamitsuji""]",,Chronically Ill in an Emergency: Why Mental Health Matters,"[""63"", ""1016"", ""1017""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-university-assets.s3.amazonaws.com/33/4c7dc2d69c4564a1f3e2dfd5526708/3-logos.svg?auto=format%2Ccompress&dpr=1&w=360&h=90,"[""University of Copenhagen"", ""Danish Red Cross"", ""Reference Centre for Psychosocial Support""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/21/9c0e63323f4922bfa062e9ce57e7b7/logo_MHPSS_512px.png,"[""en""]",[],mental-health-emergencies,[],,DLSeEikVLTMbT4N7d,HBqBgqxrzJD0Ssn5f
[],"[""VerifiedCert"", ""Specialization""]",ZJGPm6QtEfCATRL4V5Wy_Q,v2.ondemand,"Healthcare Career Explorer: Nurse Practitioner (NP) introduces learners to the dynamic and evolving role of Nurse Practitioners in today’s healthcare system. Through real-world insights, learners will explore the key responsibilities of NPs across diverse care settings, understand the educational and licensure pathways required to enter the profession, and discover the wide range of career opportunities available in advanced nursing practice.","[{""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}, {""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}]","[""193200302""]","[""Hurix Digital""]",BEGINNER,Healthcare Career Explorer Nurse Practitioner (NP),"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b7/170806ad1d4fa3a84c1e6dc2b1642f/Logo-Image-1200-X-1200.png,"[""en""]","[""RFoZXYSbSUuv1VUwvtXbjw""]",healthcare-career-explorer-nurse-practitioner-np,[],30 mins/week,DLSeEikVLTMbT4N7d,HBqBgqxrzJD0Ssn5f
[],"[""VerifiedCert"", ""Specialization""]",Gnf-6SFeEfGNHxIVhECE1Q,v2.ondemand,"Success in phlebotomy goes beyond technical skill – it requires professionalism, emotional intelligence, and effective communication. The Professionalism in Phlebotomy course provides the interpersonal and behavioral foundations to thrive in fast-paced healthcare environments.

Students begin exploring how to manage workplace expectations, navigate patient interactions confidently and regulate emotions under pressure. From understanding the foundational principles of phlebotomy to handling difficult situations with composure, learners will develop the self-awareness needed to deliver consistent, patient-centered care.

The course then shifts to building strong professional relationships, both with colleagues and patients. Special attention is given to blood collections in vulnerable and special populations, preparing students to approach sensitive situations with empathy and precision.

Finally, students will examine the skills and behaviors that drive long-term career success in allied health. Whether you are just entering the field or looking to strengthen your professional practice, this course provides the tools to represent yourself – and patients – with excellence.","[{""domainId"": ""life-sciences"", ""subdomainId"": ""healthcare-management""}, {""subdomainId"": ""patient-care"", ""domainId"": ""life-sciences""}]","[""129658170""]","[""Jennifer Zabel""]",BEGINNER,Professionalism in Phlebotomy,"[""1382""]",http://coursera-university-assets.s3.amazonaws.com/e3/9eab6f48db45eb833528f7dfd53eb3/Wide-Logo-200x48.png,"[""MedCerts""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/6d/8a4db2be954e7fa4667362c3b5b523/Logo-Image_1200x1200-Professionalism-in-Phlebotomy.jpg,"[""en""]","[""gJubPTvpT5OuareNolYDXQ""]",professionalism-in-phlebotomy,[],"3 weeks of study, 2 hours/week",DLSeEikVLTMbT4N7d,HBqBgqxrzJD0Ssn5f
[],"[""VerifiedCert""]",FD-WXg4rEfG3cBJgovGgNQ,v2.ondemand,"Microsoft Fabric represents a paradigm shift in enterprise analytics, unifying data engineering, data warehousing, and business intelligence into a single, cohesive SaaS ecosystem. This course is your definitive guide to mastering that ecosystem, moving beyond theoretical concepts to the practical implementation required to earn the Fabric Analytics Engineer Associate certification.

As a Fabric Analytics Engineer Associate, you are expected to demonstrate subject matter expertise in designing, building, and deploying enterprise-scale analytics solutions while confidently querying and analyzing data using SQL, KQL, and DAX. This program is purpose-built to help you master those competencies with clarity and precision.

You will navigate the full Microsoft Fabric ecosystem, including OneLake, Lakehouse, Warehouse, Apache Spark, Data Factory, Dataflows Gen2, Real-Time Intelligence, Semantic Models, and Power BI. The course emphasizes how these components integrate into a unified, high-performance analytics architecture.

From orchestrating robust data ingestion pipelines and Spark transformations to structuring Medallion architectures powered by Delta Lake, you will develop scalable data foundations. You will then advance into analytical engineering, implementing T-SQL in Warehouses, designing real-time intelligence solutions using Eventhouse and KQL, and building optimized semantic models using advanced DAX techniques.

Beyond implementation, the course reinforces enterprise-grade standards. You will configure security frameworks, including RLS and OLS, integrate governance through Microsoft Purview, monitor capacity and performance metrics, and align deployments with compliance and operational best practices.

By the end of this course, you will be equipped to:

- Design enterprise-grade analytics architectures using Microsoft Fabric components.
- Develop scalable data ingestion and transformation workflows across Lakehouse, Warehouse, Spark, and Real-Time workloads.
- Analyze data using SQL, KQL, and DAX in structured and streaming environments.
- Construct optimized semantic models using appropriate storage and performance strategies.
- Implement security and governance frameworks aligned with enterprise standards.

Designed for analytics engineers, data professionals, and BI architects seeking to validate and elevate their expertise, this course blends certification precision with real-world architectural depth.

Elevate your capabilities. Prove your readiness. Become a certified Microsoft Fabric Analytics Engineer.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""136285326""]","[""Edureka""]",INTERMEDIATE,Microsoft Fabric Analytics Engineer: DP-600 Exam Prep,"[""1504""]",http://coursera-university-assets.s3.amazonaws.com/f7/2ebf8f1160497eba54141ca7951ff0/Wide-Logo-for-Marketing-Purposes.png,"[""Edureka""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/ee/0ef638f7654dd5b6b3fc18560866eb/freepik__data-analyst-in-clean-corporate-office-large-highr__23268.png,"[""en""]",[],microsoft-fabric-analytics-engineer-dp-600-exam-prep,[],"6 week of study, 3-4 hours/week",O1Bfc1Qko5OR035eh,i9S3nc0ViAdCLKJiL
[],"[""VerifiedCert"", ""Specialization""]",HsC39rOVEe-sywr_75D7Fw,v2.ondemand,"Updated in May 2025.
 
This course now features Coursera Coach!
 
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

Strengthen your expertise in network security and troubleshooting with this advanced course. Delve into the latest techniques to secure networks, establish robust connections, and proactively address vulnerabilities. You’ll learn how to counter sophisticated cyber threats, optimize remote access, and implement wireless security measures effectively.

The course begins with a deep dive into network security essentials. Explore topics such as remote access protocols, social engineering tactics, VPN implementation, and enterprise physical security. Understand best practices for network hardening, from securing SNMP communications to advanced wireless protections like geofencing and EAP.

Transitioning to troubleshooting, the course follows CompTIA's structured model, guiding you through problem identification, testing theories, implementing solutions, and system verification. You’ll master essential tools for diagnosing and resolving network issues, including cabling challenges, software tools, IP commands, and DNS troubleshooting techniques.

Designed for IT professionals, network administrators, and cybersecurity specialists, this course requires a foundational understanding of networking concepts. If you’re ready to tackle advanced security and troubleshooting challenges, this course is for you.","[{""domainId"": ""information-technology"", ""subdomainId"": ""networking""}, {""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""158375127""]","[""Packt - Course Instructors""]",ADVANCED,Advanced Security and Troubleshooting,"[""1734""]",http://coursera-university-assets.s3.amazonaws.com/c7/391d0e5f6a4d648dc4f754c5898df7/2.png,"[""Packt""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7a/6e060e5f9e472a98546ce56774eede/V22172.jpg,"[""en""]","[""pGjBmpUWQN27bmc-BkajeQ""]",packt-advanced-security-and-troubleshooting-fndef,[],,O1Bfc1Qko5OR035eh,i9S3nc0ViAdCLKJiL
[],"[""VerifiedCert"", ""Specialization""]",hMq8y8TzEe62DQ4e1CW1Vw,v2.ondemand,"On this course, you’ll discover what sustainable business value means in the context of prototyping and validating business models.

You will appraise your value proposition to stakeholders and its likely impact across people, planet, profit, and progress. You’ll develop a comprehensive snapshot of your business model value from three levels of analysis: environmental, social and business, and learn how to effectively pitch your sustainable business concepts.

Via text-based resources and task books, you’ll gain comprehensive understanding and benefit from in-depth reference points as you formulate your ideas and plans.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""148398992""]","[""Haider Ali""]",INTERMEDIATE,From prototyping to validating business models,"[""1682""]",http://coursera-university-assets.s3.amazonaws.com/b3/692bd642c543a8a32a3c51c7c264fc/OU-logo-200x48px.png,"[""The Open University""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c8/bf77916f69409baafb22e6a5a5fc4a/Sustainability-for-business-success-800x800px.jpg,"[""en""]","[""D9IGikXoT4Wjlu0QOOz-sw""]",from-prototyping-to-validating-business-models,[],,22buQQODt86kBhlc4,sm75I5gyjLmKukiFa
[],"[""VerifiedCert"", ""Specialization""]",afsyuZ0rEfC1CRIgVUe25w,v2.ondemand,"By the end of this course, learners will be able to define SEO fundamentals, analyze company contexts, evaluate strategic frameworks, develop SEO strategies, conduct audits, and implement goal-driven optimization plans. They will also monitor and assess attribution models to drive measurable improvements in search visibility and consumer engagement.

This course benefits learners by combining theory with a real-world European multinational case study, ensuring they not only understand SEO concepts but also apply them in practical, business-driven contexts. Participants will gain the ability to translate organizational vision into actionable SEO objectives, craft strategies using PESTLE and SWOT, and execute structured processes for setup, monitoring, and analysis.

What makes this course unique is its immersive case study approach, bridging academic rigor with corporate application. Unlike traditional SEO tutorials, it integrates business ethos, geographical profiling, and strategic mileposts to provide a holistic perspective on search engine optimization. Learners will leave equipped with the skills to design, implement, and optimize SEO initiatives that align with long-term organizational goals.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""136048342""]","[""EDUCBA""]",,"SEO Case Study: Analyze, Optimize & Grow","[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b2/d5e07c9a3e47719290725eafecad6a/551.1.jpg,"[""en""]","[""N3GAwHCrSomJvRC0IU-qlQ""]",seo-case-study-analyze-optimize-grow,[],,22buQQODt86kBhlc4,sm75I5gyjLmKukiFa
[],"[""VerifiedCert"", ""Specialization""]",UCM1jdThEfCk2BIz2KwU0w,v2.ondemand,"The future of AI lies in systems that see, hear, and understand like humans do. Multimodal AI models are revolutionizing business intelligence by processing text, images, audio, and video simultaneously—but their true power emerges when professionals can decode their outputs and transform technical complexity into strategic clarity.

This Short Course was created to help Machine Learning and AI professionals accomplish the critical bridge between sophisticated multimodal systems and business impact. By completing this course, you'll master the analytical skills to deconstruct model reasoning across data types, evaluate output reliability, and synthesize technical findings into compelling narratives that drive strategic decisions.

By the end of this course, you will be able to:
- Analyze multimodal model outputs to communicate insights to stakeholders
- Evaluate model reliability by assessing confidence levels and identifying potential biases
- Synthesize technical findings into clear business narratives for non-technical audiences

This course is unique because it focuses on the critical but often overlooked skill of interpretation—teaching you to become the translator between cutting-edge AI capabilities and business value.

To be successful in this course, you should have a background in machine learning fundamentals, experience with AI model evaluation, and familiarity with business stakeholder communication.","[{""domainId"": ""business"", ""subdomainId"": ""leadership-and-management""}, {""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}]","[""193200302""]","[""Hurix Digital""]",INTERMEDIATE,Analyze Multimodal AI for Business Insights,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/02/0fe4fb1e764b8d8ffc0a5c7c22fa49/Logo-Image-1200-X-1200.png,"[""en""]","[""1CdDR3qrTFWH7puiUnfb9g"", ""SZEk6_miR86lS68PGSippA""]",analyze-multimodal-ai-for-business-insights,[],116 minutes,22buQQODt86kBhlc4,sm75I5gyjLmKukiFa
[],"[""VerifiedCert"", ""Specialization""]",1dpl5-jlEfCDSxIoiCmaJw,v2.ondemand,"Add video marketing boosted by video ads to your marketing. Set up video ads today and run effective and highly-converting ads to drive immediate traffic and sales!

Video ads are known to have some of the highest conversions of all the ads out there. That is because you can literally talk to your audience, become a little bit personable with them, and gain more trust than you would with a basic text based ad.

In this course I teach you how to create your video ad, and walk you literally step by step in the setup process for your first ad.

As I walk you through the setup process for your first ad, I explain all the elements of the ad that you will need to fill out in your ad. And when you finish the course, you can launch your first ad and begin observing results.

WHY VIDEO ADS ARE SO POWERFUL

If you can spend a dollar in the ads, and get a bigger amount of sales back, then you can increase your spending to get more and more profitable sales. And as you increase sales more and more, you will naturally grow your business more and more. So if you get the ads profitable, they can become the biggest growth channel for your business.

Note about the course: since I walk you through how I make my own ad, I will naturally show you an ad. I am not trying to sell you anything in my ad. It just happens to be the example of my own ad that I am using, and that is why I am showing it. There is no promotion in the course.

Go ahead, sign up for this video marketing course, and let's get you experimenting with your first YouTube ads today!

INSTRUCTOR BACKGROUND

I've been an entrepreneur for 15+ years, have coached 1,000+ entrepreneurs in person, taught 1,000,000+ students, impacted millions of entrepreneurs worldwide creating 6 and 7-figure businesses in the process, and I would love to help you.

Most of my business is selling products online and I constantly do video marketing, video sales, and run YouTube ads for myself and for my clients. Today and moving forward, video marketing is one of the top ways to sell online and engage your audience. 

I am an expert growth marketer, and I create winning marketing strategies for my clients all the time. Now it is your turn to grow your business, and fulfill your dreams using the video marketing strategy I show you in this course.

BONUSES INCLUDED

* Lots of extra freebies, downloadable worksheets, and exercises to make the course more interactive and valuable

* Personal invitation to my Facebook community after you complete the course

* My list of 50 business-success skills when you complete the course

RESPONSIVE AND CARING INSTRUCTOR: WORLD-CLASS STUDENT SUPPORT

If you have questions, know that I am here to help! I answer 99% of student questions within 24 hours. Many students tell me that other instructors don't respond. Well, I do because 

1) I care about my students.

2) I feel a responsibility to make sure that students get their money's worth from the course.

MONEY-BACK GUARANTEE  

This video marketing and YouTube ads course comes with an unconditional, Udemy-backed, 30-day money-back guarantee. This is not just a guarantee, it's my personal promise to you that I will go out of my way to help you succeed with your video ads and video marketing just like I've done for thousands of my other students.  

Invest in your future. Enroll now.","[{""domainId"": ""business"", ""subdomainId"": ""marketing""}, {""domainId"": ""business"", ""subdomainId"": ""entrepreneurship""}]","[""198448869""]","[""Alex Genadinik""]",,YouTube Ads & Video Marketing - 2026,"[""4230""]",http://coursera-university-assets.s3.amazonaws.com/c7/f8bc60a79b4a7080cf0eb568473ac6/Untitled-design-9-.png,"[""Alex Genadinik""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/7d/9417d238c842028e974a1c8b27d593/Untitled-design---2026-02-20T173751.806.png,"[""en""]","[""Xgl8OVSKQEOMzLtEj1QbBw"", ""ZM3x-Q3DTAyZxvIPwkwbGg"", ""_jV3yitnTOmI-vFA4GYAzw""]",youtube-ads,[],,22buQQODt86kBhlc4,sm75I5gyjLmKukiFa
[],"[""VerifiedCert"", ""Specialization""]",PihtliwYEfG2sw65jDhxwQ,v2.ondemand,"Master retail supply chain, customer service, and omnichannel strategies to deliver seamless customer experiences.
Learn how top retailers integrate logistics, service, and technology to drive growth and loyalty.

This course equips learners with practical knowledge of retail customer service, order management, and reverse logistics. It explores how businesses manage the entire retail lifecycle—from customer interaction to perfect order fulfillment and returns handling.

You will learn how to design multi-channel retail strategies, implement efficient reverse logistics systems, and build customer loyalty programs that enhance retention. The course also covers modern retail technologies, including kiosks and advanced payment systems, to improve operational efficiency and customer convenience.

By the end of this course, learners will be able to optimize retail operations, improve customer satisfaction, and implement strategies that drive long-term business success in a competitive retail environment.","[{""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""136048342""]","[""EDUCBA""]",,Retail Supply Chain and Customer Service Strategies,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/9a/81f2860df946fc925049e2095701ea/496.1.png,"[""en""]","[""5-aLCK3MSkq84FHhDGci2A""]",retail-supply-chain-customer-service-strategies,[],,22buQQODt86kBhlc4,sm75I5gyjLmKukiFa
[],"[""VerifiedCert"", ""Specialization""]",0E4lBD_DEfCXXhLR-bLm7w,v2.ondemand,"Bring a character to life with the power of 3D design in Unreal Engine. 

In this class, your instructor, Lucas Ridley, will teach you how to use Unreal Engine for the first time and leverage the software to create your own custom character. From recording a personalized facial capture to customizing a Metahuman character, you’ll discover that creating a playable character within Unreal Engine isn’t as intimidating as you might think. 

With Lucas as your guide, you’ll:

- Discover Unreal Engine and how to navigate the software
- Use the Metahuman app to create a customized character
- Import your character into Unreal Engine 
- Play your character within a template level
- Plus, you’ll get a behind-the-scenes look at Lucas’ work process as a full-time animator. 

Whether you dream of working as an animator in films or video games or you are just curious about 3D character animation, you’ll leave this class knowing how to create your own unique character that your audience can connect to. 

To take this class, you don’t need any Unreal Engine experience. All you need is an interest in creating your own 3D films or video games as well as the Unreal Engine software, a computer, and a three button mouse. To record your own facial capture you’ll need an iPhone and the Live Link App but you can also download free motion capture data online if you don’t have an iPhone.

Instructor bio:
Lucas Ridley is a professional animator whose work has appeared in films by directors like Steven Spielberg and Robert Zemeckis, as well as in major game studios. Originally from Kentucky, his career has taken him around the world, from Los Angeles to London, contributing to blockbuster projects while also pursuing personal creative work.

Lucas brings that industry experience into teaching, where he focuses on making animation approachable and frustration-free. His goal is to give learners clear, practical guidance to help them build confidence and create with independence.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}]","[""186501695""]","[""Skillshare""]",,3D Animation in Unreal Engine: Create an Original Character,"[""3482""]",http://coursera-university-assets.s3.amazonaws.com/e1/4d7f292d0c4d36b0df5383a4cf6cb9/skillsharelogo_coursera_200x48_white.png,"[""Skillshare""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/b5/c6cd52227249b8af51810e996080ea/640251_001_1200x1200.png,"[""en""]","[""7uWb7fFsSuG0EOEEcv6oWA"", ""v_KtY5FgRIa7wso7qIRELg""]",3d-animation-in-unreal-engine-create-an-original-character,[],,cNdTxBzceNJr4Eub0,zrQjbIQYdGMpqxIkc
[],"[""VerifiedCert"", ""Specialization""]",8phrDvtzEe6RWQr_yLqxhQ,v2.ondemand,"In this course, you will create wireframes, mockups, and prototypes, using Figma and Fluent 2 Design.","[{""subdomainId"": ""design-and-product"", ""domainId"": ""computer-science""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""56970540""]","["" Microsoft""]",,User Interface Design and Prototyping,"[""705""]",http://coursera-university-assets.s3.amazonaws.com/73/8792b24ae547c1a582c33f7ea4d569/Microsoft-logo_rgb_200x43.png,"[""Microsoft""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/57/6432d6d51644b0acf6454e8bed4978/GettyImages-1650778944_12s.jpg,"[""en""]","[""4N96O5I-QE-q_DFAuEhpZg""]",user-interface-design-and-prototyping,[],,cNdTxBzceNJr4Eub0,zrQjbIQYdGMpqxIkc
[],"[""VerifiedCert"", ""Specialization""]",FTu5SITkEe-HnxIaoRsVow,v2.ondemand,"In this course, you’ll explore the world of authorization and authentication, and understand the concepts of two-step authentication and single sign-on policies. You’ll also become familiar with the features and capabilities of Azure Active Directory (Azure AD), particularly those relating to the benefits of using Azure AD to manage an enterprise’s security requirements including access management, identity governance, and management. This course will take you one step closer to the Microsoft Cybersecurity Analyst Professional Certificate, which requires no degree or prior experience.","[{""domainId"": ""computer-science"", ""subdomainId"": ""computer-security-and-networks""}]","[""56970540""]","["" Microsoft""]",BEGINNER,Cybersecurity Identity and Access Solutions with Azure AD,"[""705""]",http://coursera-university-assets.s3.amazonaws.com/73/8792b24ae547c1a582c33f7ea4d569/Microsoft-logo_rgb_200x43.png,"[""Microsoft""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/08/95799bdfb444c4ae0b6e9a310197a0/Cybersecurity-Identity-and-Access-Solutions-Logo_800x800-01.png,"[""en""]","[""Q_LZ_6JzR0SOnSfINQ2_bw""]",cybersecurity-identity-access-solutions-azure-ad,[],21 hours,cNdTxBzceNJr4Eub0,zrQjbIQYdGMpqxIkc
[],"[""VerifiedCert"", ""Specialization""]",PypnGsCIEeqIWgqNFPWsWw,v2.ondemand,"This Course is the first of a series of courses that make up the Core Java Specialization.  The Core Java Specialization, in turn, is part of a series of programming specializations, derived from LearnQuest's private Java Bootcamps, designed to provide the skill set necessary to be hired as an IT developer using Java in many corporate environments.

This course includes hands-on practice and will give you a solid knowledge of the Java language. After completing this course, you will be able to identify Java’s benefits, program in basic Java syntax using Java data types, and incorporate branches and loops.

The audience for this course:
-    Anyone interested in learning Java
-    Programmers
-    Technical Managers
-    Application Developers

Prerequisites: To be successful with this course, you should understand the fundamentals of software development in either a procedural or object-oriented language.","[{""domainId"": ""computer-science"", ""subdomainId"": ""software-development""}, {""subdomainId"": ""mobile-and-web-development"", ""domainId"": ""computer-science""}]","[""187597289""]","[""LearnQuest Network""]",BEGINNER,Introduction to Java,"[""527""]",http://coursera-university-assets.s3.amazonaws.com/ae/99864058c04a11a6b3fec071f69cc6/logo.png,"[""LearnQuest""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/0a/8cd7f1b14344618b75142593bc7af8/JavaCupLogo800x800.png,"[""en""]","[""oHAAm9czEeq2pQ75DN-BkQ""]",java-introduction,[],,cNdTxBzceNJr4Eub0,zrQjbIQYdGMpqxIkc
[],"[""VerifiedCert""]",1tYUFY-yEfCNOA4OvopBdw,v2.ondemand,"By the end of this course, learners will be able to import and manage datasets in SPSS, apply descriptive statistics, analyze correlations, construct linear and multiple regression models, and interpret logistic and multinomial regression outputs. Through hands-on practice with real-world case studies—including heart pulse, copper expansion, energy consumption, and debt assessment—learners will evaluate predictors, interpret coefficients, and validate results.

This course is designed to build a step-by-step mastery of predictive analytics using SPSS, starting from data handling fundamentals to advanced regression modeling. Each module integrates theory with applied case studies, enabling learners to connect statistical concepts to practical decision-making.

What makes this course unique is its structured approach that combines clear explanations, SPSS demonstrations, and diverse datasets across health, psychology, and finance domains. Learners will gain not only technical proficiency in SPSS but also the confidence to apply predictive modeling techniques in real-world research, business, and academic contexts. Whether you are a student, researcher, or professional, this course equips you with the tools to transform raw data into actionable insights.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""136048342""]","[""EDUCBA""]",,Predictive Analytics with SPSS: Analyze & Apply,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/e2/8e6b356823433da818ca57699a499b/444.1.jpg,"[""en""]",[],predictive-analytics-spss-analyze-apply,[],,gvezsjunbdwHOAsQA,VVMyTwrmcBpe0Qf7g
[],"[""VerifiedCert"", ""Specialization""]",lkByFdBnEfCgnQ6rmSK97Q,v2.ondemand,"In this course, you'll continue developing your data-reporting skills in Crystal Reports by using Structured Query Language (SQL) statements to create and summarize report data, as well as create joins and subqueries. You'll also create more complex formulas by working with loops and arrays. These tools and techniques provide you with even greater control over how your data is presented.

This is the third course in a multi-course Specialization.

All of the courses in this Specialization require that you have SAP Crystal Reports 2020 installed. You also need to have an installation of Office 2019 apps or later, particularly Access. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""domainId"": ""business"", ""subdomainId"": ""business-essentials""}]","[""199401406""]","[""Bill Rosenthal""]",,Crystal Reports: SQL Statements and Complex Formulas,"[""4045""]",http://coursera-university-assets.s3.amazonaws.com/11/74e2f119b6403b85e55c5028449c77/lo_wide_logo_marketing-200x48.png,"[""Logical Operations""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/02/8ba4793fc846fba8a6f8d40e353408/Slide4.png,"[""en""]","[""YXlz4qSuSL2dIkvEIgtSkQ""]",crystal-reports-sql-statements-complex-formulas-lo095028,[],,gvezsjunbdwHOAsQA,VVMyTwrmcBpe0Qf7g
[],"[""VerifiedCert"", ""Specialization""]",gATho53PEfCqcQr_8-Efcw,v2.ondemand,"By the end of this course, learners will be able to explain the origins of NoSQL databases, evaluate their features and data models, compare ACID and BASE consistency approaches, apply workflow orchestration with Apache Oozie, and implement real-time stream processing using Apache Storm. They will also design recommendation systems, apply classification techniques, and implement clustering algorithms with Apache Mahout.

This course equips learners with both foundational knowledge and hands-on skills in distributed big data systems. Through a structured progression, learners gain practical experience with tasks, workers, topologies, and coordinators, while also exploring advanced topics such as data versioning, stream reliability, and scalable machine learning models.

What makes this course unique is its integration of multiple cutting-edge technologies—NoSQL, Oozie, Storm, and Mahout—into a single, cohesive learning journey. Instead of studying these tools in isolation, learners will analyze how they interact in real-world scenarios to build scalable, fault-tolerant, and intelligent data solutions.

Ideal for aspiring data engineers, developers, and analysts, this course provides the skills to design, evaluate, and implement modern big data architectures that drive insights and innovation.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""136048342""]","[""EDUCBA""]",,NoSQL Databases: Analyze & Implement Scalable Systems,"[""1501""]",http://coursera-university-assets.s3.amazonaws.com/43/c75b19c91f404dbd5c18fbda7adf2b/Educba-logo-200-x-48.png,"[""EDUCBA""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/c2/7a47bfd24149a1877975b7f648f1e0/561.1.jpg,"[""en""]","[""8uAsjMe1QOaiqg8hEWEZMQ""]",nosql-databases-analyze-implement-scalable-systems,[],,gvezsjunbdwHOAsQA,VVMyTwrmcBpe0Qf7g
[],"[""VerifiedCert""]",XTo8QBI8Ee-zqA6_zzhdJQ,v2.ondemand,"In this 1-hour long project-based course, you will learn how to Navigate and register on the Skills.AI platform effectively, Create infographics and visualize data using AI tools, and Interact with visual reports for enhanced insights.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""probability-and-statistics"", ""domainId"": ""data-science""}]","[""31239514""]","[""Mo Rebaie""]",INTERMEDIATE,Data Analytics with Skills.AI: Create Data Visualizations,"[""1342""]",http://coursera-university-assets.s3.amazonaws.com/6b/a12b89b5d6409dab49a739db5fd054/coursera-wide-logo-full-rgb.png,"[""Coursera""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/06/0d29f6b9504ff3ae9cc2ec6030c0b2/1985582.png,"[""en""]",[],data-analytics-with-skills-ai-create-data-visualizations,[],1 hours,gvezsjunbdwHOAsQA,VVMyTwrmcBpe0Qf7g
[],"[""VerifiedCert"", ""Specialization""]",2VBlOydHEe6Ksg4d3AQmNQ,v2.ondemand,"The ""Data Collection and Integration"" course provides students with comprehensive techniques for gathering data from diverse sources, including files, relational databases, web pages, and APIs. Participants will gain practical experience in collecting and integrating data for further processing and analysis. The course emphasizes the utilization of appropriate tools and packages, such as Pandas, Beautiful Soup, and SQL, to effectively handle real-life datasets and address data integration challenges.","[{""subdomainId"": ""data-analysis"", ""domainId"": ""data-science""}, {""subdomainId"": ""data-management"", ""domainId"": ""information-technology""}]","[""84654972""]","[""Di Wu""]",INTERMEDIATE,Data Collection and Integration,"[""71""]",http://coursera-university-assets.s3.amazonaws.com/e1/d25de6c2be4186a8884c35a4284184/Boulder-FL.png,"[""University of Colorado Boulder""]",https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/88/4dc5f6a7894de38e0e2ccd580b7f40/C2-Logo.png,"[""en""]","[""woQgSOVBSJiTFIGdPZZdmA""]",data-collection-and-integration,[],3-5 hours/week,gvezsjunbdwHOAsQA,VVMyTwrmcBpe0Qf7g