title stringlengths 3 147 | modules stringlengths 0 2.05k | modules_description stringlengths 0 30.6k | module_activities stringlengths 0 15.1k |
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Google AI Essentials | 1. Introduction to AI
2. Maximize Productivity With AI Tools
3. Discover the Art of Prompt Engineering
4. Use AI Responsibly
5. Stay Ahead of the AI Curve | Introduction to AI: Discover how AI works and explore foundational AI concepts, such as machine learning (ML). Learn about the rise of generative AI and how to perform tasks with it. By the end of this module, you’ll have an understanding of the capabilities and limitations of AI tools and how to integrate generative A... | Introduction to AI: Introduction to Google AI Essentials,AI and the future of work,Learn from AI success stories,Maya: The exciting world of AI,Explore how AI uses machine learning,Foundations of generative AI,Understand the capabilities and limitations of AI,Vint: Use AI for positive change,Use AI as a collaborative t... |
Foundations of Project Management | 1. Embarking on a career in project management
2. Becoming an effective project manager
3. The project management life cycle and methodologies
4. Organizational structure and culture | Embarking on a career in project management: You will learn how the program is structured, what project management is and what a project manager does, how to apply your skills from previous work experience to project management roles, what types of project management roles you could pursue after completing this certifi... | Embarking on a career in project management: Welcome to the Google Project Management Certificate,Introduction to Course 1,What is project management?,What does a project manager do?,Transferable project management skills,X: Path to becoming a project manager,From certificate to career success,Finding the perfect role,... |
Foundations: Data, Data, Everywhere | 1. Introducing data analytics and analytical thinking
2. The wonderful world of data
3. Set up your data analytics toolbox
4. Become a fair and impactful data professional | Introducing data analytics and analytical thinking: Data helps us make decisions in both everyday life and in business. In this part of the course, you’ll learn how data analysts use a variety of tools and skills to inform those decisions. You’ll also get to know more about this course and the overall program expectati... | Introducing data analytics and analytical thinking: Welcome to the Google Data Analytics Certificate,Introduction to the course,Data analytics in everyday life,Cassie: Dimensions of data analytics,What is the data ecosystem?,How data informs better decisions,Discover data skill sets,Key data analyst skills,All about th... |
Foundations of Cybersecurity | 1. Welcome to the exciting world of cybersecurity
2. The evolution of cybersecurity
3. Protect against threats, risks, and vulnerabilities
4. Cybersecurity tools and programming languages | Welcome to the exciting world of cybersecurity: Begin your journey into cybersecurity! You'll explore the cybersecurity field, and learn about the job responsibilities of cybersecurity professionals.
The evolution of cybersecurity: You will explore how cybersecurity threats have appeared and evolved alongside the adopt... | Welcome to the exciting world of cybersecurity: Welcome to the Google Cybersecurity Certificate,Welcome to week 1,Introduction to cybersecurity,Toni: My path to cybersecurity,Responsibilities of an entry-level cybersecurity analyst,Nikki: A day in the life of a security engineer,Core skills for cybersecurity profession... |
AI For Everyone | 1. What is AI?
2. Building AI Projects
3. Building AI In Your Company
4. AI and Society | What is AI?:
Building AI Projects:
Building AI In Your Company:
AI and Society: | What is AI?: Week 1 Introduction,Machine Learning,What is data?,The terminology of AI,What makes an AI company?,What machine learning can and cannot do,More examples of what machine learning can and cannot do,Non-technical explanation of deep learning (Part 1, optional),Non-technical explanation of deep learning (Part ... |
Supervised Machine Learning: Regression and Classification | 1. Week 1: Introduction to Machine Learning
2. Week 2: Regression with multiple input variables
3. Week 3: Classification | Week 1: Introduction to Machine Learning: Welcome to the Machine Learning Specialization! You're joining millions of others who have taken either this or the original course, which led to the founding of Coursera, and has helped millions of other learners, like you, take a look at the exciting world of machine learnin... | Week 1: Introduction to Machine Learning: Welcome to machine learning!,Applications of machine learning,What is machine learning?,Supervised learning part 1,Supervised learning part 2,Unsupervised learning part 1,Unsupervised learning part 2,Jupyter Notebooks,Linear regression model part 1,Linear regression model part ... |
Indigenous Canada | 1. Worldview
2. Fur Trade
3. Trick or Treaty
4. New Rules, New Game
5. “Killing the Indian in the Child”
6. A Modern Indian?
7. Red Power
8. Sovereign Lands
9. Indigenous Women, Girls, and Genderful People
10. Indigenous in the City
11. Current Social Movements
12. ‘Living’ Traditions – Expressions in Pop Culture and A... | Worldview: In this introductory module, students learn the significance of stories and storytelling in Indigenous societies. We explore history that comes from Indigenous worldviews, this includes worldviews from the Inuit, Nehiyawak, Kanien:keha’ka and Tlingit peoples.
Fur Trade: This module discusses pre-contact trad... | Worldview: Introduction,Storytelling,Indigenous Worldviews,Reuben Quinn
Fur Trade: Pre-Contact North American Networking,Colonization,The Fur Trade,Frank Tough
Trick or Treaty: Perspectives on Treaty Making,Numbered Treaties,The Métis Nation
New Rules, New Game: Indigenous Concepts of Law,Outside Influences,Outside Inf... |
Generative AI with Large Language Models | 1. Week 1
2. Week 2
3. Week 3 | Week 1: Generative AI use cases, project lifecycle, and model pre-training
Week 2: Fine-tuning and evaluating large language models
Week 3: Reinforcement learning and LLM-powered applications | Week 1: Course Introduction,Introduction - Week 1,Generative AI & LLMs,LLM use cases and tasks,Text generation before transformers,Transformers architecture,Generating text with transformers,Prompting and prompt engineering,Generative configuration,Generative AI project lifecycle,Introduction to AWS labs,Lab 1 walkthro... |
Foundations of Digital Marketing and E-commerce | 1. Introduction to foundations of digital marketing and e-commerce
2. The customer journey and the marketing funnel
3. Digital marketing and e-commerce strategy
4. Measure performance success | Introduction to foundations of digital marketing and e-commerce: You’ll find out what’s in store for Course 1 and the whole certificate program. You’ll also learn about the Coursera platform, procedures, and content types, and meet other learners in the program. Then, you’ll learn about digital marketing and e-commerce... | Introduction to foundations of digital marketing and e-commerce: Welcome to the Google Digital Marketing & E-commerce Certificate,Introduction to Course 1,What are digital marketing and e-commerce?,What do digital marketing and e-commerce specialists do?,Joi - Career Path To Digital Marketing,Transferable skills for di... |
Technical Support Fundamentals | 1. Introduction to IT
2. Hardware
3. Operating System
4. Networking
5. Software
6. Troubleshooting | Introduction to IT: Welcome to Technical Support Fundamentals, the first course of the IT Support Professional Certificate! By enrolling in this course, you are taking the first step to kickstarting your career in tech. In the first module of the course, we'll learn about how computers were invented, how they've evolve... | Introduction to IT: Program Introduction,What is IT?,What does an IT Support Specialist do?,Course Introduction,From Abacus to Analytical Engine,The Path to Modern Computers,Kevin: Their career path,Computer Language,Character Encoding,Binary,How to Count in Binary,Abstraction,Computer Architecture Overview,Kevin: Advi... |
Play It Safe: Manage Security Risks | 1. Security domains
2. Security frameworks and controls
3. Introduction to cybersecurity tools
4. Use playbooks to respond to incidents | Security domains: You will gain understanding of the CISSP’s eight security domains. Then, you'll learn about primary threats, risks, and vulnerabilities to business operations. In addition, you'll explore the National Institute of Standards and Technology’s (NIST) Risk Management Framework (RMF) and the steps of risk ... | Security domains: Introduction to Course 2,Welcome to module 1,Explore the CISSP security domains, Part 1,Explore the CISSP security domains, Part 2,Ashley: My path to cybersecurity,Threats, risks, and vulnerabilities,Key impacts of threats, risks, and vulnerabilities,Herbert: Manage threats, risks, and vulnerabilities... |
Generative AI for Everyone | 1. Introduction to Generative AI
2. Generative AI Projects
3. Generative AI in Business and Society | Introduction to Generative AI:
Generative AI Projects:
Generative AI in Business and Society: | Introduction to Generative AI: Welcome,How Generative AI works,LLMs as a thought partner,AI is a general purpose technology,Writing,Reading,Chatting,What LLMs can and cannot do,Tips for prompting,Image generation (optional)
Generative AI Projects: Using generative AI in software applications,Trying generative AI code y... |
Financial Markets | 1. Module 1
2. Module 2
3. Module 3
4. Module 4
5. Module 5
6. Module 6
7. MODULE 7 | Module 1: Welcome to the course! In this opening module, you will learn the basics of financial markets, insurance, and CAPM (Capital Asset Pricing Model). This module serves as the foundation of this course.
Module 2: In this next module, dive into some details of behavioral finance, forecasting, pricing, debt, and in... | Module 1: Welcome video,Financial Markets Introduction,Your Teaching Assistant, Arun!,Good and Evil,VaR and Stress Tests,S&P 500,Joe McNay Story,Distribution and Outliers,Chalk Talk - Covariance,Insurance Fundamentals,Insurance Milestones,Insurance is a Local Phenomenon,Health Insurance,Disasters,Eggs in One Basket,Sal... |
Ask Questions to Make Data-Driven Decisions | 1. Ask effective questions
2. Make data-driven decisions
3. Spreadsheet magic
4. Always remember the stakeholder | Ask effective questions: Data analysts are constantly asking questions in order to find solutions and identify business potential. In this part of the course, you’ll learn about effective questioning techniques that will help guide your analysis.
Make data-driven decisions: In analytics, data drives decision-making, an... | Ask effective questions: Introduction to problem-solving and effective questioning,Data in action,Nikki: The data process works,Common problem types,Continue exploring business applications,Anmol: From hypothesis to outcome,SMART questions,Evan: Data opens doors
Make data-driven decisions: Data and decisions,How data e... |
Project Initiation: Starting a Successful Project | 1. Fundamentals of project initiation
2. Defining project goals, scope, and success criteria
3. Working effectively with stakeholders
4. Utilizing resources and tools for project success | Fundamentals of project initiation: You will learn how the program is structured, understand the significance of a project’s initiation phase and describe its key components, and understand how to determine a project’s benefits and costs.
Defining project goals, scope, and success criteria: You will learn how to define... | Fundamentals of project initiation: Introduction to Course 2,Why is project initiation essential?,Key components of project initiation,Afsheen: Listening to learn,Wrap-up
Defining project goals, scope, and success criteria: Introduction: Defining project goals, scope, and success criteria,Determining project goals and ... |
Foundations of User Experience (UX) Design | 1. Introducing user experience design
2. Thinking like a UX designer
3. Joining design sprints
4. Integrating research into the design process | Introducing user experience design: User experience (UX) designers focus on the experience that users have while using products like websites, apps, and physical objects. UX designers make those everyday interactions useful, enjoyable, and accessible. In the first part of this course, you'll be introduced to the world ... | Introducing user experience design: Welcome to the Google UX Design Certificate,Michael: Get started in UX design,Introduction to Course 1: Foundations of User Experience Design,Welcome to module 1,The basics of user experience design,Jobs in the field of user experience,The product development life cycle,Design for go... |
Become a CBRS Certified Professional Installer by Google | 1. What is CBRS?
2. The role of CPIs in CBRS
3. More background on CBRS
4. How to do the CPI job
5. Steps to certification
6. The future
7. CPI Exam | What is CBRS?: A quick overview of shared spectrum and terminology
The role of CPIs in CBRS: What are CPIs and why are they needed?
More background on CBRS: Terminology and concepts
How to do the CPI job: Detailed information on how to fulfill your responsibilities
Steps to certification: The path to become CPI certi... | What is CBRS?: Introduction,Citizens Broadband Radio Service and shared spectrum,CBRS ecosystem
The role of CPIs in CBRS: The role of CPIs in CBRS
More background on CBRS: SAS-CBSD Communication
How to do the CPI job: When is a CPI required?,Determining Installation Parameters,Determining antenna orientation and char... |
Connect and Protect: Networks and Network Security | 1. Network architecture
2. Network operations
3. Secure against network intrusions
4. Security hardening | Network architecture: You'll be introduced to network security and explain how it relates to ongoing security threats and vulnerabilities. You will learn about network architecture and mechanisms to secure a network.
Network operations: You will explore network protocols and how network communication can introduce vuln... | Network architecture: Introduction to Course 3,Welcome to module 1,Chris: My path to cybersecurity,What are networks?,Tina: Working in network security,Emmanuel: Useful skills for network security,Network tools,Cloud networks,Introduction to network communication,The TCP/IP model,The four layers of the TCP/IP model,IP ... |
Advanced Learning Algorithms | 1. Neural Networks
2. Neural network training
3. Advice for applying machine learning
4. Decision trees | Neural Networks: This week, you'll learn about neural networks and how to use them for classification tasks. You'll use the TensorFlow framework to build a neural network with just a few lines of code. Then, dive deeper by learning how to code up your own neural network in Python, "from scratch". Optionally, you can... | Neural Networks: Welcome!,Neurons and the brain,Demand Prediction,Example: Recognizing Images,Neural network layer,More complex neural networks,Inference: making predictions (forward propagation),Inference in Code,Data in TensorFlow,Building a neural network,Forward prop in a single layer,General implementation of forw... |
Prepare Data for Exploration | 1. Data types and structures
2. Data responsibility
3. Database essentials
4. Organize and protect data
5. Engage in the data community | Data types and structures: A massive amount of data is generated every single day. In this part of the course, you will discover how this data is generated and how analysts decide which data to use for analysis. You’ll also learn about structured and unstructured data, data types, and data formats as you start thinking... | Data types and structures: Introduction to data exploration,Hallie: Fascinating data insights,Data collection in our world,Determine what data to collect,Discover data formats,Continue exploring structured data,Know the type of data you're working with,Data table components,Meet wide and long data
Data responsibility: ... |
Attract and Engage Customers with Digital Marketing | 1. Introduction to attract and engage customers with digital marketing
2. Understand search engine optimization (SEO)
3. Apply search engine optimization (SEO)
4. Search engine marketing (SEM) and display advertising | Introduction to attract and engage customers with digital marketing: You will continue to learn about the marketing funnel and its stages: awareness, consideration, conversion, and loyalty. You’ll also learn strategies for turning potential customers into paying and repeat customers at each stage of the marketing funne... | Introduction to attract and engage customers with digital marketing: Introduction to Course 2,Welcome to module 1,Customer personas for your target audience,How to create a customer persona,Introduction to the marketing funnel and its benefits,Awareness: Strategies to get customers introduced to a brand,Consideration: ... |
Neural Networks and Deep Learning | 1. Introduction to Deep Learning
2. Neural Networks Basics
3. Shallow Neural Networks
4. Deep Neural Networks | Introduction to Deep Learning: Analyze the major trends driving the rise of deep learning, and give examples of where and how it is applied today.
Neural Networks Basics: Set up a machine learning problem with a neural network mindset and use vectorization to speed up your models.
Shallow Neural Networks: Build a neura... | Introduction to Deep Learning: Welcome,What is a Neural Network?,Supervised Learning with Neural Networks,Why is Deep Learning taking off?,About this Course,Geoffrey Hinton Interview
Neural Networks Basics: Binary Classification,Logistic Regression,Logistic Regression Cost Function,Gradient Descent,Derivatives,More Der... |
The Bits and Bytes of Computer Networking | 1. Introduction to Networking
2. The Network Layer
3. The Transport and Application Layers
4. Networking Services
5. Connecting to the Internet
6. Troubleshooting and the Future of Networking | Introduction to Networking: Welcome to the Networking course of the IT Support Professional Certificate! In the first module of this course, we will cover the basics of computer networking. We will learn about the TCP/IP and OSI networking models and how the network layers work together. We'll also cover the basics of ... | Introduction to Networking: Course Introduction,The TCP/IP Five-Layer Network Model,Alex: Why networking is important,Cables,Hubs and Switches,Routers,Servers and Clients,Sergio: Being a network engineer,Moving Bits Across the Wire,Twisted Pair Cabling and Duplexing,Network Ports and Patch Panels,Ethernet and MAC Addre... |
Project Planning: Putting It All Together | 1. Beginning the planning phase
2. Building a project plan
3. Managing budgeting and procurement
4. Managing risks effectively
5. Organizing communication and documentation | Beginning the planning phase: You will learn how the course is structured, the benefits of planning and key components of the planning phase, the difference between tasks and milestones, and how to set milestones.
Building a project plan: You will learn why a project plan is necessary and what components it contains,... | Beginning the planning phase: Introduction to Course 3,The benefits of project planning,Launching the planning phase,Facilitating a project kick-off meeting,Understanding tasks and milestones,The importance of setting milestones,How to set milestones,Creating a work breakdown structure,Wrap-up,Clennita: How planning cr... |
Introduction to Statistics | 1. Introduction and Descriptive Statistics for Exploring Data
2. Producing Data and Sampling
3. Probability
4. Normal Approximation and Binomial Distribution
5. Sampling Distributions and the Central Limit Theorem
6. Regression
7. Confidence Intervals
8. Tests of Significance
9. Resampling
10. Analysis of Categorical D... | Introduction and Descriptive Statistics for Exploring Data: This module provides an overview of the course and a review of the main tools used in descriptive statistics to visualize information.
Producing Data and Sampling: In this module, you will look at the main concepts for sampling and designing experiments. You w... | Introduction and Descriptive Statistics for Exploring Data: Course Welcome,Meet Guenther Walther,Introduction,Pie Chart, Bar Graph, and Histograms,Box-and-Whisker Plot and Scatter Plot,Providing Context is Key for Statistical Analyses,Pitfalls when Visualizing Information,Mean and Median,Percentiles, the Five Number Su... |
Introduction to Psychology | 1. Welcome to Introduction to Psychology
2. Foundations
3. Development and Language
4. Cognition
5. Self and others
6. Variation
7. The good life | Welcome to Introduction to Psychology: Meet Paul Bloom, your instructor.
Foundations: In this module, you will learn about foundational psychological theories and findings in psychology. We will start with the discovery that our mental lives have a physical basis, introducing the field of neuroscience. And then we will... | Welcome to Introduction to Psychology: How to take this course
Foundations: The astonishing hypothesis,Dualism,Neurons,Parts of the brain,Our two brains,A bit of humility,Sigmund Freud,The psychodynamic approach,Stages of development,Defense mechanisms,Scientific assessment of Freud,Taking Freud seriously,B.F. Skinner,... |
Personal Branding: Stand Out and Succeed | 1. Week 1: Introduction to Brands
2. Week 2: People as Brands
3. Week 3: You as a Brand
4. Week 4: Reinventing & Retuning | Week 1: Introduction to Brands: Your instructors, Cheri Alexander and Marcus Collins, introduce themselves and share with you an overview of the course. During this introductory week, you will be exposed to essential concepts related to branding. These include understanding the definition and historical context of bran... | Week 1: Introduction to Brands: Welcome to the Course,Introduction to Week 1,Activity: Personal Goals,What is a Brand?,History of Brand,What are Brand Effects?,Activity: Breaking Down Your Favorite Brand,Debrief: Breaking Down Your Favorite Brand,Which Brand is Better?,Our Brand Pyramid Framework,Brand Ideology,Debrief... |
Workday Basics Series | 1. Workday Basics
2. Beyond Basics | Workday Basics: Workday Basics is your entry point to a rewarding career using Workday technology. In this course, you will learn why companies choose Workday. You will also gain an understanding of the foundational frameworks that allow Workday to uniquely support organizations and their goals.
Beyond Basics: Welcome ... | Workday Basics: Workday Basics,Workday Navigation Intro,Business Object Model Demo,Home Page and Search Demo,Performing Tasks Demo,Workday Foundation,Organizations & Worktags Intro,Supervisory Organization,Company,Cost Center,Pay Group,Location,Academic Unit,Worktags,Workday Basics Configurable Security,Business Proces... |
Tools of the Trade: Linux and SQL | 1. Introduction to operating systems
2. The Linux operating system
3. Linux commands in the Bash shell
4. Databases and SQL | Introduction to operating systems: You will learn about the relationship between operating systems, hardware, and software, and become familiar with the primary functions of an operating system. You'll recognize common operating systems in use today and understand how the graphical user interface (GUI) and command-line... | Introduction to operating systems: Introduction to Course 4,Welcome to module 1,Kim: My journey into computing,Introduction to operating systems,Inside the operating system,Resource allocation via the OS,GUI versus CLI,Ellen: My path into cybersecurity,Wrap-up
The Linux operating system: Welcome to module 2,Introductio... |
Agile Project Management | 1. The fundamentals of Agile
2. Scrum 101
3. Implementing Scrum
4. Applying Agile in the organization | The fundamentals of Agile: You will learn how the course is structured and explore the history, approach, and philosophy of Agile project management and Scrum theory. You will also learn why Agile is best suited to industries that are susceptible to change and how to differentiate and blend Agile approaches.
Scrum 101:... | The fundamentals of Agile: Introduction to Course 5,A brief history of Agile,Distinguishing Agile from Waterfall,The four values of the Agile Manifesto,The 12 principles of the Agile Manifesto,Adopting an Agile mindset,Applying Agile in a VUCA environment,Introduction to Scrum,Introduction to Kanban, XP, and Lean,Blend... |
Process Data from Dirty to Clean | 1. The importance of integrity
2. Clean data for more accurate insights
3. Data cleaning with SQL
4. Verify and report on cleaning results
5. Optional: Add data to your resume
6. Course wrap-up | The importance of integrity: Data integrity is critical to successful analysis. In this part of the course, you’ll explore methods and steps that analysts take to check their data for integrity. This includes knowing what to do when you don’t have enough data. You’ll also learn about random samples and understand how t... | The importance of integrity: Introduction to data integrity,Why data integrity is important,Balance objectives with data integrity,Deal with insufficient data,The importance of sample size,Using statistical power,Determine the best sample size,Evaluate data reliability
Clean data for more accurate insights: Clean it up... |
Business Analytics with Excel: Elementary to Advanced | 1. Introduction to Excel: Basics and Best Practices
2. What-If Analysis in Excel
3. Decision Analysis through Regression and NPV
4. Linear Programming
5. Transportation and Assignment Problems
6. Integer Programming and Nonlinear Programming | Introduction to Excel: Basics and Best Practices: The purpose of this course is to expose you to a variety of problems that can be solved using management science methods and modelled in Excel. In this course, we start from the basics of spreadsheet design and work our way up to broader mathematical optimization model... | Introduction to Excel: Basics and Best Practices: Warm-Up - Creating a Budget in Excel,NCAA T-Shirt Vendor,Woodworks Bookshelf Co.
What-If Analysis in Excel: Quality Sweater Company,B&N Bookstore
Decision Analysis through Regression and NPV: The 19th Hole,NPV Example: Gopher Drugs
Linear Programming: Campaign Marketing... |
Start the UX Design Process: Empathize, Define, and Ideate | 1. Empathizing with users and defining pain points
2. Creating user stories and user journey maps
3. Defining user problems
4. Ideating design solutions | Empathizing with users and defining pain points: Get ready to begin the design process for a new portfolio project: a mobile app! This part of the course will focus on empathizing with users, which is the first phase of the design process. You’ll think through the needs of your potential users to build empathy maps and... | Empathizing with users and defining pain points: Introduction to Course 2: Empathize, Define, and Ideate,Lisa - Create a UX design portfolio,Introduction to UX design portfolios,Introduction to website builders,Introduction to best practices for UX design portfolios,Empathize with users,Recruit interview participants,P... |
Project Execution: Running the Project | 1. Introduction to project execution
2. Quality management and continuous improvement
3. Data-informed decision-making
4. Leadership and influencing skills
5. Effective project communication
6. Closing a project | Introduction to project execution: You will learn how the course is structured, what aspects of a project to track, and how to track them. You will also learn how to effectively manage changes, dependencies, and risks and how to communicate critical risks to stakeholders.
Quality management and continuous improvement:... | Introduction to project execution: Introduction to Course 4,The importance of tracking,Common items to track,Different tracking methods,Belinda: tracking and managing a budget,Pranjal: Managing multiple tracks,Why risks and changes occur,Identifying and tracking dependencies,Techniques to help manage risks,Escalating i... |
Writing in the Sciences | 1. 1
2. 2
3. 3
4. 4
5. 5
6. 6
7. 7
8. 8 | 1: Unit 1 introduces the course and reviews key principles of effective writing. In particular, you will practice cutting clutter from writing.
2: Unit 2 focuses on writing with strong, active verbs. Lessons include how to: write in the active voice; avoid turning verbs into nouns; choose strong verbs; and get to the m... | 1: 1.1: Introduction; principles of effective writing,1.2: Examples of what not to do,1.3: Overview, principles of effective writing,1.4: Cut the clutter,1.5: Cut the clutter, more tricks,1.6: Practicing cutting clutter,Demo Edit 1 (Optional)
2: 2.1: Use the active voice,2.2: Is it really OK to use "We" and "I",2.3: Ac... |
Bookkeeping Basics | 1. Accounting Concepts and Measurement
2. The Accounting Cycle (Part 1)
3. The Accounting Cycle (Part 2)
4. Accounting Principles and Practices | Accounting Concepts and Measurement: In this module, you'll be introduced to the role of a bookkeeper and gain an understanding of how to use the accounting equation and double-entry accounting.
The Accounting Cycle (Part 1): In this module, you will learn about the accounting cycle and how bookkeepers use the general ... | Accounting Concepts and Measurement: Welcome to Intuit's Bookkeeping Certification Program,Welcome to Course 1: Bookkeeping Basics,Meet Your Learning Guide,Introduction to Accounting,Our Schedule,Introduction to the Bookkeeper Role and Learning Objectives,How Does a Bookkeeper Contribute to Clients' success?,Commercial... |
Linear Algebra for Machine Learning and Data Science | 1. Week 1: Systems of linear equations
2. Week 2: Solving systems of linear equations
3. Week 3: Vectors and Linear Transformations
4. Week 4: Determinants and Eigenvectors | Week 1: Systems of linear equations: Matrices are commonly used in machine learning and data science to represent data and its transformations. In this week, you will learn how matrices naturally arise from systems of equations and how certain matrix properties can be thought in terms of operations on system of equatio... | Week 1: Systems of linear equations: Specialization introduction,Course introduction,What to expect and how to succeed,A note on programming experience,Linear Algebra Applied I,Linear Algebra Applied II,System of sentences,System of equations,System of equations as lines and planes,A geometric notion of singularity,Sin... |
Python for Data Science, AI & Development | 1. Python Basics
2. Python Data Structures
3. Python Programming Fundamentals
4. Working with Data in Python
5. APIs and Data Collection | Python Basics: This module teaches the basics of Python and begins by exploring some of the different data types such as integers, real numbers, and strings. Continue with the module and learn how to use expressions in mathematical operations, store values in variables, and the many different ways to manipulate strings... | Python Basics: Course Introduction,Introduction to Python,Getting Started with Jupyter,Types,Expressions and Variables,String Operations
Python Data Structures: Lists and Tuples,Dictionaries,Sets
Python Programming Fundamentals: Conditions and Branching,Loops,Functions,Exception Handling,Objects and Classes
Working wit... |
Analyze Data to Answer Questions | 1. Organize data for more effective analysis
2. Format and adjust data
3. Aggregate data for analysis
4. Perform data calculations | Organize data for more effective analysis: Organizing data makes the data easier to use in your analysis. In this part of the course, you’ll learn the importance of organizing your data through sorting and filtering. You’ll explore these processes in both spreadsheets and SQL as you continue to prepare your data.
Forma... | Organize data for more effective analysis: Introduction to getting organized,The analysis process,Ayanna: Sticking with it,Always a need to organize,Filter data with SQL,Sort data in spreadsheets,Use the SORT function in spreadsheets,Emma: Journey to a meaningful career,Sort data with SQL
Format and adjust data: Get st... |
Assets, Threats, and Vulnerabilities | 1. Introduction to asset security
2. Protect organizational assets
3. Vulnerabilities in systems
4. Threats to asset security | Introduction to asset security: You will be introduced to how organizations determine what assets to protect. You'll learn about the connection between managing risk and classifying assets by exploring the unique challenge of securing physical and digital assets. You'll also be introduced to the National Institute of S... | Introduction to asset security: Introduction to Course 5,Da'Queshia: My path to cybersecurity,Welcome to module 1,The what, why, and how of asset security,Tri: Life in asset security,Security starts with asset classification,Assets in a digital world,Elements of a security plan,The NIST Cybersecurity Framework,Wrap-up
... |
Introduction to Healthcare | 1. Overview of Health Care Systems and Key Challenges They Face
2. Physicians, Physician Practices, and Physician Payment
3. Hospitals, Other Provider Organizations, and Related Payment Systems
4. Intermediaries, Health Insurance Plans, and Health Care Financing
5. Health Care Products and Prescription Drugs, and Quali... | Overview of Health Care Systems and Key Challenges They Face:
Physicians, Physician Practices, and Physician Payment:
Hospitals, Other Provider Organizations, and Related Payment Systems:
Intermediaries, Health Insurance Plans, and Health Care Financing:
Health Care Products and Prescription Drugs, and Quality Meas... | Overview of Health Care Systems and Key Challenges They Face: Introduction,A Simple Interaction Between Providers and Patients,The Problem of Risk,Solving the Problem of Risk: Risk Pooling,Insurance and Intermediaries for Risk Pooling,Beyond Patients, Providers, and Intermediaries: Other Players in the Health Care Syst... |
The Science of Well-Being | 1. Introduction
2. Misconceptions About Happiness
3. Why Our Expectations are so Bad
4. How Can We Overcome Our Biases
5. Stuff that Really Makes Us Happy
6. Putting Strategies into Practice
7. Start Your Final Rewirement Challenge
8. Continue Your Rewirement Challenge
9. Continue Your Rewirement Challenge
10. Submit Y... | Introduction: Why take this course?
Misconceptions About Happiness: What do we think will make us happy?
Why Our Expectations are so Bad: Why do we mispredict what makes us happy?
How Can We Overcome Our Biases: How we counteract our annoying features of the mind?
Stuff that Really Makes Us Happy: What can we do to imp... | Introduction: Start a New Journey!,Become Happier by Learning & Applying Psychological Science,Why This Course Exists,What is the G.I. Joe Fallacy?,Watch out for scams
Misconceptions About Happiness: Savoring,Gratitude,Part 1 - Good Job,Part 2 - Money,Part 3 - Awesome Stuff, True Love, Perfect Body & Good Grades,Annoyi... |
Capstone: Applying Project Management in the Real World | 1. Initiating a project
2. Building out a project plan
3. Maintaining quality
4. Effective stakeholder communication | Initiating a project: You will learn to analyze project documents and supporting materials to identify project requirements, evaluate stakeholders, and problem-solve. You’ll complete a project charter and use it as a tool to align project scope and goals among stakeholders. You will also add specificity to project goal... | Initiating a project: Introduction to Course 6,Project charters: Purpose and components,Project charters: Stakeholder alignment,Project charters: Drafting SMART goals,Project charters: Defining scope, benefits, and costs,Afsheen: Initiating a project effectively,Completing a stakeholder analysis,Finding mutually benefi... |
Stanford Introduction to Food and Health | 1. Background on Food & Nutrients
2. Contemporary Trends in Eating
3. Future Directions in Health - Part I
4. Future Directions in Health - Part 2
5. Cooking Workshop
6. Recommended Optional Resources | Background on Food & Nutrients: In this section we will examine the social and cultural shifts that have contributed to our modern epidemics of overweight and obesity. We will briefly review the nutrients found in foods, their different functions in the human body and how we can support our own health by choosing wisel... | Background on Food & Nutrients: Introduction,A Sociocultural History of Obesity,Macronutrient Structure & Metabolism,Carbohydrate-rich Foods & the Glycemic Index,Animal & Plant-based Proteins,Dietary Fats & Their Effects on Human Health
Contemporary Trends in Eating: Why Are Highly Processed Foods Generally Less Health... |
Operating Systems and You: Becoming a Power User | 1. Navigating the System
2. Users and Permissions
3. Package and Software Management
4. Filesystems
5. Process Management
6. Operating Systems in Practice | Navigating the System: Welcome to the Operating Systems course of the IT Support Professional Certificate! In the first module of this course, we will cover the basics of Windows and Linux operating systems (OS). We will learn about how directories and files work in Windows and Linux OS. You will also learn practical w... | Navigating the System: Course Introduction,Lesson Overview & Practice Tips,Windows: List Directories in a GUI,Windows: List Directories in CLI,Linux: List Directories,Windows: Changing Directories in the GUI,Windows: Changing Directories in the CLI,Linux: Changing Directories in Bash,Windows: Make Directories in the GU... |
Data Analysis with R Programming | 1. Programming and data analytics
2. Programming using RStudio
3. Working with data in R
4. More about visualizations, aesthetics, and annotations
5. Documentation and reports | Programming and data analytics: R is a programming language that can help you in your data analysis process. In this part of the course, you’ll learn about R and RStudio, the environment you’ll use to work in R. You’ll explore the benefits of using R and RStudio as well as the components of RStudio that will help you ... | Programming and data analytics: Introduction to the exciting world of programming,Fun with R,Carrie: Getting started with R,Programming languages,Introduction to R,Intro to RStudio
Programming using RStudio: Programming using RStudio,Programming fundamentals,Operators and calculations,The gift that keeps on giving,Welc... |
Introduction to Data Engineering | 1. Introduction to Data Engineering
2. The Data Engineering Lifecycle and Undercurrents
3. Data Architecture
4. Translating Requirements to Architecture | Introduction to Data Engineering: Gain a high-level overview of the data engineering lifecycle and key undercurrents to understand how data engineers add business value to organizations. Start developing a mental framework for thinking like a data engineer, starting with gathering stakeholder needs and translating them... | Introduction to Data Engineering: Welcome to Data Engineering,Course 1 Overview,Data Engineering Defined,[Optional] A Brief History of Data Engineering,The Data Engineer Among Other Stakeholders,[Optional] Business Value,System Requirements,[Optional] Conversation with Sol Rashidi,[Optional] Conversation with Jordan Mo... |
Unsupervised Learning, Recommenders, Reinforcement Learning | 1. Unsupervised learning
2. Recommender systems
3. Reinforcement learning | Unsupervised learning: This week, you will learn two key unsupervised learning algorithms: clustering and anomaly detection
Recommender systems:
Reinforcement learning: This week, you will learn about reinforcement learning, and build a deep Q-learning neural network in order to land a virtual lunar lander on Mars! | Unsupervised learning: Welcome!,What is clustering?,K-means intuition,K-means algorithm,Optimization objective,Initializing K-means,Choosing the number of clusters,Finding unusual events,Gaussian (normal) distribution,Anomaly detection algorithm,Developing and evaluating an anomaly detection system,Anomaly detection vs... |
Crash Course on Python | 1. Hello Python!
2. Basic Python Syntax
3. Loops
4. Strings, Lists and Dictionaries
5. Final Project | Hello Python!: In this module we’ll introduce you to the Coursera platform and the course format. Then, we’ll dive into the basics of programming languages and syntax, as well as automation using scripting. We’ll also introduce you to the Python programming language and cover some basic functions and keywords of the la... | Hello Python!: Specialization Introduction,Course Introduction,The Beginning of Your Programming Journey,What is programming?,What is automation?,Getting Computers to Work for You,What is Python?,Why is Python relevant to IT?,Other Languages,Hello, World!,Getting Information from the User,Python Can Be Your Calculator,... |
Private Equity and Venture Capital | 1. An Introduction to Private Equity and Venture Capital
2. Discovering Private Equity Investors: Legal Issues and Taxation
3. The Management Of Private Equity And Venture Capital Funds
4. Company Valuation And Deal Making In Private Equity Settings
5. FINAL TEST | An Introduction to Private Equity and Venture Capital:
Discovering Private Equity Investors: Legal Issues and Taxation:
The Management Of Private Equity And Venture Capital Funds:
Company Valuation And Deal Making In Private Equity Settings:
FINAL TEST: In this section you can find the final graded quiz covering al... | An Introduction to Private Equity and Venture Capital: Course Introduction,1.1 What Is Private Equity and Venture Capital?,1.2 Why Companies Need Private Equity and Venture Capital,1.3 Private Equity Clusters: Through the Fund's Life Cycle,1.4 Seed, Startup, and Early Stage Financing,1.5 Expansion Financing,1.6 Replace... |
From Likes to Leads: Interact with Customers Online | 1. Introduction to from likes to leads: interact with customers online
2. Social media strategy, planning, and publishing
3. Listening and engagement on social media
4. Social media analytics and reporting
5. Paid social media | Introduction to from likes to leads: interact with customers online: You will study the importance of social media marketing in promoting a business or product. Next, you’ll explore common social media platforms used in digital marketing and how to choose the best platform for a campaign. Then, you’ll discover the five... | Introduction to from likes to leads: interact with customers online: Introduction to Course 3,Welcome to module 1,The benefits of social media marketing,Cindy - A day in the life of a product marketing manager,The five core pillars of social media marketing,Earned, owned, and paid social media,The social media marketin... |
Game Theory | 1. Week 1: Introduction and Overview
2. Week 2: Mixed-Strategy Nash Equilibrium
3. Week 3: Alternate Solution Concepts
4. Week 4: Extensive-Form Games
5. Week 5: Repeated Games
6. Week 6: Bayesian Games
7. Week 7: Coalitional Games
8. Week 8: Final Exam | Week 1: Introduction and Overview: Introduction, overview, uses of game theory, some applications and examples, and formal definitions of: the normal form, payoffs, strategies, pure strategy Nash equilibrium, dominant strategies
Week 2: Mixed-Strategy Nash Equilibrium: pure and mixed strategy Nash equilibria
Week 3: Al... | Week 1: Introduction and Overview: Introductory Video,1-1 Game Theory Intro - TCP Backoff,1-2 Self-Interested Agents and Utility Theory,1-3 Defining Games,1-4 Examples of Games,1-5 Nash Equilibrium Intro,1-6 Strategic Reasoning,1-7 Best Response and Nash Equilibrium,1-8 Nash Equilibrium of Example Games,1-9 Dominant St... |
Programming for Everybody (Getting Started with Python) | 1. Chapter One - Why we Program?
2. Installing Python
3. Chapter One: Why We Program (continued)
4. Chapter Two: Variables and Expressions
5. Chapter Three: Conditional Code
6. Chapter Four: Functions
7. Chapter Five: Loops and Iteration | Chapter One - Why we Program?: These are the course-wide materials as well as the first part of Chapter One where we explore what it means to write programs. We finished Chapter One and had the quiz and first assignment in the third week of the class. Throughout the course, you may want to come back and look at these ... | Chapter One - Why we Program?: Video: Welcome to Class - Dr. Chuck,Video: Welcome to Python - Guido van Rossum,1.1 - Why Program,1.2 - Hardware Overview,1.3 - Python as a Language,Fun: The Textbook Authors Meet @PyCon2015,Face to Face Office Hours - Bengaluru, India
Installing Python: Demonstration: Using the Python Pl... |
Machine Learning in Production | 1. Week 1: Overview of the ML Lifecycle and Deployment
2. Week 2: Modeling Challenges and Strategies
3. Week 3: Data Definition and Baseline | Week 1: Overview of the ML Lifecycle and Deployment: This week covers a quick introduction to machine learning production systems focusing on their requirements and challenges. Next, the week focuses on deploying production systems and what is needed to do so robustly while facing constantly changing data.
Week 2: Mode... | Week 1: Overview of the ML Lifecycle and Deployment: Welcome,Steps of an ML Project,Case study: speech recognition,Course outline,Key challenges,Deployment patterns,Monitoring,Pipeline monitoring
Week 2: Modeling Challenges and Strategies: Modeling overview,Key challenges,Why low average error isn't good enough,Establi... |
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization | 1. Practical Aspects of Deep Learning
2. Optimization Algorithms
3. Hyperparameter Tuning, Batch Normalization and Programming Frameworks | Practical Aspects of Deep Learning: Discover and experiment with a variety of different initialization methods, apply L2 regularization and dropout to avoid model overfitting, then apply gradient checking to identify errors in a fraud detection model.
Optimization Algorithms: Develop your deep learning toolbox by addin... | Practical Aspects of Deep Learning: Train / Dev / Test sets,Bias / Variance,Basic Recipe for Machine Learning,Regularization,Why Regularization Reduces Overfitting?,Dropout Regularization,Understanding Dropout,Other Regularization Methods,Normalizing Inputs,Vanishing / Exploding Gradients,Weight Initialization for Deep... |
Psychological First Aid | 1. Introduction
2. Reflective Listening/Rapport
3. Assessment and Prioritization
4. Intervention and Disposition
5. Self-Care and Wrap-Up | Introduction: In this first week, we have some materials to get you oriented, a pre-course survey, two lectures on history and terms and concepts and a simulated look at PFA in action.
Reflective Listening/Rapport: This week, we'll be looking more closely at the R component of our RAPID model.
Assessment and Prioritiz... | Introduction: Module 1 Introduction,Lecture 1: Terms and Concepts,Lecture 2: Historical Context,Full simulation video
Reflective Listening/Rapport: Module 2 Introduction,Lecture 3: Reflective Listening & Rapport,Lecture 4: How Reflective Listening Works,Reflective Listening & Rapport Vignette A,Reflective Listening & R... |
Share Data Through the Art of Visualization | 1. Visualize data
2. Create data visualizations with Tableau
3. Craft data stories
4. Develop presentations and slideshows | Visualize data: In this module, you’ll delve into the various types of data visualizations and explore what makes an effective visualization. You'll also learn about accessibility, design thinking, and other factors that will help you use data visualizations to effectively communicate data insights.
Create data visuali... | Visualize data: Introduction to communicating data insights,Kevin: The power's in the data viz,Why data visualization matters,Connect images with data,A recipe for a powerful visualization,Dynamic visualizations,Elements of art,Data visualization impact,Design thinking and visualizations,Accessible visualizations,Andre... |
Sound the Alarm: Detection and Response | 1. Introduction to detection and incident response
2. Network monitoring and analysis
3. Incident investigation and response
4. Network traffic and logs using IDS and SIEM tools | Introduction to detection and incident response: Detection and incident response are an important part of a cybersecurity analyst’s work. You'll explore how cybersecurity professionals verify and respond to malicious threats and become familiar with the steps involved in incident response.
Network monitoring and analys... | Introduction to detection and incident response: Introduction to Course 6,Dave: Grow your cybersecurity career with mentors,Welcome to module 1,Introduction to the incident response lifecycle,Incident response teams,Fatima: The importance of communication during incident response,Incident response plans,Incident respon... |
Introduction to Social Media Marketing | 1. The Social Media Landscape
2. Social Media Platforms Overview
3. Goals and Planning for Success
4. Understand Your Audience
5. Choose Your Social Media Channels | The Social Media Landscape: This week you'll get an introduction to the Meta Social Media Marketing Professional Certificate program, then you'll dive into an introduction to marketing and social media marketing, learn about how businesses use social media and get a basic overview of the social media landscape.
Social ... | The Social Media Landscape: Introduction to the Meta Social Media Marketing Professional Certificate,Introduction to Anke Audenaert,Introduction to Social Media Marketing Overview,Careers in Digital Marketing,The Social Media Landscape Overview,Introduction to Marketing,Introduction to Digital Marketing,Introduction to... |
Management of Fashion and Luxury Companies | 1. What is Fashion? What is Luxury? Defining Complex Competitive Systems and Business Logics
2. The Evolution of Business Models: From Designers to Fast Fashion Retailers
3. Stylistic Identity and the Product Development Process: The Role of Heritage, Stylistic Codes and Icon Products in Defining the Seasonal Collectio... | What is Fashion? What is Luxury? Defining Complex Competitive Systems and Business Logics: Welcome to the first week of our course! Before moving this week contents, please dedicate some time to read the About the Course section where you can find a series of useful information to approach the course the best way. The ... | What is Fashion? What is Luxury? Defining Complex Competitive Systems and Business Logics: 1. What Is Fashion?,2. New Trends,3. The Dream Factor and Media System,4. What Is Luxury?,5. Luxury as a Product,6. Luxury as a Business,7. Luxury as a Culture,8. Luxury as a Customer,9. What Is Luxury Not?,10. Fashion, Luxury, a... |
Leadership Skills | 1. Leading the Self: Mindfulness, Inner Stability, and Positive Strengths
2. Leading Downward: Leader Behaviors and Leadership Styles
3. Building Sustainable Relationships: Supportive Communication and Decision-making Biases
4. Power, Politics, and Leading Upwards
5. Ethics, Culture, and Change Management
6. Leadership... | Leading the Self: Mindfulness, Inner Stability, and Positive Strengths: In this module, you will learn about introspection, closely analyzing your inner self, and developing the ability to be self-led before leading others effectively. This module highlights the importance of leading oneself by elaborating on aspects o... | Leading the Self: Mindfulness, Inner Stability, and Positive Strengths: Course Introduction,Meet Your Instructor,Automatic Cycle of Behavior,Multitasking,Mindfulness,Our Two Selves,Understanding Emotional Intelligence,Emotional Intelligence: Managing Anger,Emotional Intelligence: Managing Fear,Emotional Intelligence: M... |
Successful Negotiation: Essential Strategies and Skills | 1. Welcome to Successful Negotiation!
2. Prepare: Plan Your Negotiation Strategy
3. Negotiate: Use Key Tactics for Success
4. Close: Create a Contract
5. Perform and Evaluate: The End Game
6. Practice Your Negotiation Skills with an Interactive Experience and Live Negotiations
7. Final Examination | Welcome to Successful Negotiation!: Through this course you'll learn and practice the strategies and skills that will help you become a successful negotiator in your personal life and business transactions. After completing this module, you'll be able to state the four key stages of negotiation and what you need to do ... | Welcome to Successful Negotiation!: Course Goal and Game Plan,Introduction to the University of Michigan
Prepare: Plan Your Negotiation Strategy: Should I Negotiate?,A Position Based or Interest Based Negotiation,A Dispute Resolution or Deal Making Negotiation?,Analyzing the Negotiation,Your BATNA in a Dispute Resoluti... |
Organizational Analysis | 1. Module 1 - Introduction
2. Module 2 - Decisions by Rational and Rule-based Procedures
3. Module 3 - Decisions by Dominant Coalitions
4. Module 4 - Organized Anarchy
5. Module 5 - Organizational Learning
6. Module 6 - Organizational Culture
7. Module 7 - Resource Dependency Theory
8. Module 8 - Networks
9. Module 9 -... | Module 1 - Introduction:
Module 2 - Decisions by Rational and Rule-based Procedures: In this module, we will present a general introduction and discussion to decision-making in organizations. We will relate various rational system views of organizations that tend to focus on administrative units, or leaders of organiz... | Module 1 - Introduction: Lecture 1 - Introduction to Organizations - Part 1,Lecture 1 - Introduction to Organizations - Part 2,Lecture 2 - Analytic Features of Organizations - Part 1,Lecture 2 - Analytic Features of Organizations - Part 2,Lecture 3 - Case Applications - Part 1,Lecture 3 - Case Applications - Part 2,Mod... |
System Administration and IT Infrastructure Services | 1. What is System Administration?
2. Network and Infrastructure Services
3. Software and Platform Services
4. Directory Services
5. Data Recovery & Backups
6. Final Project | What is System Administration?: Welcome to the System Administration course of the IT Support Professional Certificate! In the first module of this course, we will cover the basics of system administration. We'll cover organizational policies, IT infrastructure services, user and hardware provisioning, routine maintena... | What is System Administration?: Course Introduction,What is Systems Administration?,Servers Revisited,The Cloud,Organizational Policies,IT Infrastructure Services,User and Hardware Provisioning,Routine Maintenance,Vendors,Troubleshooting and Managing Issues,In Case of Fire, Break Glass,Dion: My Michelle Obama story,Wit... |
Introduction to Negotiation: A Strategic Playbook for Becoming a Principled and Persuasive Negotiator | 1. Introduction / What is the Pie?
2. Negotiation Caselets
3. Zincit Case
4. Outpsider Case
5. Advanced Topics
6. Linda Babcock: Ask for It
7. Herb Cohen: You Can Negotiate Anything
8. John McCall MacBain: The Consummate Dealmaker
9. Acknowledgments and Further Readings | Introduction / What is the Pie?: I've promised that this course will help you be a better, smarter, more strategic negotiator. To do that, we begin by laying a foundation for negotiation, a theory of the “pie.” Over the years, I’ve discovered even the most experienced negotiators tend to lack a framework that grounds t... | Introduction / What is the Pie?: Introduction to the Course,What is the Pie?,Airline Cost Sharing,Limo Ride,The Principle of the Divided Cloth (a historical context for how to divide the pie),Sea Corp,The Shapley Value (solving the runway problem)
Negotiation Caselets: Planet–Gazette Results and Analysis,Things Go Bett... |
Brand Management: Aligning Business, Brand and Behaviour | 1. Brand Purpose & Experience
2. Brand Design & Delivery
3. Brand Leadership and Alignment
4. Brand Practices & Engagement
5. Brand Metrics & Returns | Brand Purpose & Experience: Welcome to Module 1! In this module, we'll cover the following topics: Traditional notions of branding; Changing market conditions for brands; A new approach to branding. As well as the lecture videos, you will also be learning through interviews with brand practitioners such as Bethany Koby... | Brand Purpose & Experience: 1.1 Introduction,1.2 Brand identity and brand image,1.3 Interview with Bethany Koby, Director, Technology Will Save Us,1.4 Brand purpose (part 1),1.5 Brand purpose (part 2),1.6 Interview with David Kershaw, CEO, M&C Saatchi,1.7 3E's (part 1),1.8 3E's (part 2)
Brand Design & Delivery: 2.1 Why... |
Google Data Analytics Capstone: Complete a Case Study | 1. Learn about capstone basics
2. Optional: Build your portfolio
3. Optional: Use your portfolio
4. Put your certificate to work | Learn about capstone basics: A capstone is a crowning achievement. In this part of the course, you’ll be introduced to capstone projects, case studies, and portfolios, and will learn how they help employers better understand your skills and capabilities. You’ll also have an opportunity to explore the online portfolios ... | Learn about capstone basics: Introducing the capstone project,Rishie: What employers look for in data analysts,Best-in-class
Optional: Build your portfolio: Get started with your case study,Unlimited potential with analytics case studies,Share your portfolio
Optional: Use your portfolio: Discussing your portfolio,Scena... |
Automate Cybersecurity Tasks with Python | 1. Introduction to Python
2. Write effective Python code
3. Work with strings and lists
4. Python in practice | Introduction to Python: You will get an introduction to the Python programming language and how Python is used in cybersecurity. You'll also explore foundational Python concepts including data types, variables, conditional statements, and iterative statements.
Write effective Python code: You will expand your ability t... | Introduction to Python: Introduction to Course 7,Ángel: My personal career journey,Welcome to module 1,Python and cybersecurity,Create a basic Python script,Akash: Python and the cybersecurity professional,Data types in Python,Work with variables in Python,Conditional statements in Python,For loops,While loops,Wrap-up
... |
Fundamentals of Project Planning and Management | 1. Welcome to the World of Projects
2. The Ins & Outs of Project Planning
3. It’s a Risky World & Then the Unexpected Happened
4. Ready, Set, Go: Project Execution | Welcome to the World of Projects: Welcome to the course -- we're excited you're here! In our first week, we'll gain an understanding of what a project is, what it isn't, and why that matters. We'll consider how projects are defined and a project’s three objectives. We'll look at a model for examining a project’s organi... | Welcome to the World of Projects: Course Welcome,What Is a Project?,How Do We Define a Project?,Considering the Organization & Stakeholders,Project Success & Failure,The Making of Boyhood & British Airways T5 Examples,The Making of Boyhood & British Airways T5 Summary,Project Life Cycle
The Ins & Outs of Project Planni... |
Prompt Engineering for ChatGPT | 1. Course Introduction
2. Introduction to Prompts
3. Prompt Patterns I
4. Few-Shot Examples
5. Prompt Patterns II
6. Prompt Patterns III | Course Introduction:
Introduction to Prompts:
Prompt Patterns I:
Few-Shot Examples:
Prompt Patterns II:
Prompt Patterns III: | Course Introduction: Motivating Example: Building a Meal Plan with a Fusion of Food from Ethiopia and Uzbekistan that is Keto,Overview of the Course,Motivating Example: Act as a Speech Pathologist,Setting Up an Account and Using ChatGPT,What are Large Language Models?,Randomness in Output
Introduction to Prompts: What ... |
Connected Leadership | 1. Introduction to Connected Leadership
2. Self | The Purpose-Driven, Connected Leader
3. Teams | Unlocking the Potential of Working Together
4. System | Helping to Improve the World Around Us
5. Looking Forward | Connected Leadership - Using the Toolkit: From Self To System | Introduction to Connected Leadership: Welcome to Connected Leadership! In this module, we'll review the course framework, overall aims, and other essentials that will help you get the most out of your learning experience. We'll also take a closer look at the terms "Connected" and "Leadership" and how we'll be using the... | Introduction to Connected Leadership: Welcome to Connected Leadership!,About Peter Boyd,Course Overview,Framework Overview,Unpacking "Connected" + "Leadership",Navigating the Course
Self | The Purpose-Driven, Connected Leader: The Purpose-Driven, Connected Leader,Your Purpose Worksheet,Purpose Worksheet Debrief,Further... |
Preparing Data for Analysis with Microsoft Excel | 1. Excel fundamentals
2. Formulas and functions
3. Preparing data for analysis using functions
4. Final project and assessment: Preparing data for analysis with Microsoft Excel | Excel fundamentals: This module introduces essential Excel elements and techniques begininning with the creation and formatting of worksheets. It explores the Excel features that are useful when viewing large data blocks and explains how to create accurate calculations.
Formulas and functions: This module introduces fo... | Excel fundamentals: Introduction to the program,Course introduction: Preparing data for analysis with Microsoft Excel,Day in the life,Welcome to Generative AI for everyone,Understanding the Capabilities of Generative AI for Business Functions,Generative AI - Under the hood,The potential pitfalls and shortcomings of GEN... |
IT Security: Defense against the digital dark arts | 1. Understanding Security Threats
2. Pelcgbybtl (Cryptology)
3. The 3 A's of Cybersecurity: Authentication, Authorization, Accounting
4. Securing Your Networks
5. Defense in Depth
6. Creating a Company Culture for Security
7. Prepare for Jobs in IT Support | Understanding Security Threats: Welcome to the IT Security course of the IT Support Professional Certificate! In the first module of this course, we will cover the basics of security in an IT environment. We will learn how to define and recognize security risks, vulnerabilities and threats. We'll identify the most comm... | Understanding Security Threats: Course Introduction,The CIA Triad,Essential Security Terms,Malicious Software,Malware Continued,Network Attacks,Denial-of-Service,Client-Side Attacks,Password Attacks,Deceptive Attacks
Pelcgbybtl (Cryptology): Cryptography,Symmetric Cryptography,Symmetric Encryption Algorithms,Rob: The w... |
Cybersecurity for Everyone | 1. Cybersecurity for Everyone: Defining Cyber, Security, and Cybersecurity Policy (Week 1)
2. Cybersecurity for Everyone: Evolution of the Internet (Week 2)
3. Cybersecurity for Everyone: Global Telecommunications Architecture and Governance (Week 3)
4. Cybersecurity for Everyone: Threat Actors and Their Motivations (... | Cybersecurity for Everyone: Defining Cyber, Security, and Cybersecurity Policy (Week 1):
Cybersecurity for Everyone: Evolution of the Internet (Week 2):
Cybersecurity for Everyone: Global Telecommunications Architecture and Governance (Week 3):
Cybersecurity for Everyone: Threat Actors and Their Motivations (Week 4... | Cybersecurity for Everyone: Defining Cyber, Security, and Cybersecurity Policy (Week 1): Foundations: An Introduction,What is Cyber?,What is Security?,Demystifying the Cybersecurity Problem,The Threat Landscape,Threat Landscape Challenge,Examples of Cyber Incidence,Practical Questions
Cybersecurity for Everyone: Evolu... |
Foundations of Data Science | 1. Introduction to data science concepts
2. The impact of data today
3. Your career as a data professional
4. Data applications and workflow
5. Course 1 end-of-course project | Introduction to data science concepts: You’ll begin with an introduction to the Google Advanced Data Analytics Certificate. Then, you'll explore the history of data science and ways that data science helps solve problems today.
The impact of data today: Now that you’re more familiar with the history of data science, yo... | Introduction to data science concepts: Welcome to the Google Advanced Data Analytics Certificate,Introduction to Course 1,Welcome to module 1,Explore your data toolbox,Wrap-up,Lois-An: Navigate your data career with curiosity,Prepare for your first assessment
The impact of data today: Welcome to module 2,Adrian: Create... |
Put It to Work: Prepare for Cybersecurity Jobs | 1. Protect data and communicate incidents
2. Escalate incidents
3. Communicate effectively to influence stakeholders
4. Engage with the cybersecurity community
5. Find and apply for cybersecurity jobs | Protect data and communicate incidents: You will recognize the importance of security professionals in the workplace. You'll discover how proper detection and escalation can impact an organization’s security posture.
Escalate incidents: You will explore the importance of incident prioritization and escalation. You'll l... | Protect data and communicate incidents: Introduction to Course 8,Dion: My personal career journey,Welcome to module 1,Security as a mindset,Detect and protect without neglect,Wrap-up
Escalate incidents: Welcome to module 2,The importance of escalation,Prepare to escalate through security recognition,From simple activit... |
Build Wireframes and Low-Fidelity Prototypes | 1. Storyboarding and wireframing
2. Creating paper and digital wireframes
3. Building low-fidelity prototypes | Storyboarding and wireframing: Welcome to the world of wireframes! You'll start by learning how to use research findings to inform ideation during the design process. Next, you'll create two types of storyboards: big picture and close-up. Then, you'll draw your first wireframes, and you'll explore the benefits of wiref... | Storyboarding and wireframing: Introduction to Course 3: Build Wireframes and Low-Fidelity Prototypes,Karen - My path to UX design,Introduction to user flows,Introduction to storyboarding user flows,Understand the two types of storyboards,Introduction to wireframes,Start drawing,Draw your first wireframe,Understand the... |
Workday in Action Series | 1. Workday Human Capital Management (HCM) in Action
2. Workday Recruiting in Action
3. Workday Compensation in Action
4. Workday Benefits in Action
5. Workday Payroll in Action
6. Workday Financial Management in Action | Workday Human Capital Management (HCM) in Action: In this module, you will learn how to navigate and search in Workday, understand staffing models, and learn how to perform the daily transactions of hiring, transferring, and terminating your organization's workers.
Workday Recruiting in Action: In this module, you will... | Workday Human Capital Management (HCM) in Action: Workday HCM - Search,Workday HCM - Navigation,Workday HCM - Supervisory Organizations,Workday HCM - Job Profiles,Workday HCM - Job Management Staffing Model,Workday HCM - Position Management Staffing Model,Workday HCM - Create a Pre-Hire,Workday HCM - Hire,Workday HCM -... |
Artificial Intelligence in Marketing | 1. What Is AI?
2. Networks and Network Effects
3. Data-Driven AI
4. AI Relationship Moments | What Is AI?: Welcome to our course! We'll begin with an introduction to AI (artificial intelligence), where we'll define the term and explore the history of the technology. Then we'll dive into machine learning and deep learning, and see how algorithms are used to create effective AI such as Google Images and IBM’s Wat... | What Is AI?: Welcome to the Course,Welcome to Week 1,What Is AI?,Where Does the Data Come From?,Machine Learning,Deep Learning,Week 1 Takeaways
Networks and Network Effects: Welcome to Week 2,An Autonomous F150?,Interview: Jim Snead on Automation at Ford,Autonomous Vehicles: Preconceptions and Reality,About the Discuss... |
Convolutional Neural Networks | 1. Foundations of Convolutional Neural Networks
2. Deep Convolutional Models: Case Studies
3. Object Detection
4. Special Applications: Face recognition & Neural Style Transfer | Foundations of Convolutional Neural Networks: Implement the foundational layers of CNNs (pooling, convolutions) and stack them properly in a deep network to solve multi-class image classification problems.
Deep Convolutional Models: Case Studies: Discover some powerful practical tricks and methods used in deep CNNs, st... | Foundations of Convolutional Neural Networks: Computer Vision,Edge Detection Example,More Edge Detection,Padding,Strided Convolutions,Convolutions Over Volume,One Layer of a Convolutional Network,Simple Convolutional Network Example,Pooling Layers,CNN Example,Why Convolutions?,Yann LeCun Interview
Deep Convolutional Mo... |
Renew your CBRS Professional Installer certification | 1. Request your new certificate (Required)
2. What is CBRS? (Optional)
3. The role of CPIs in CBRS (Optional)
4. More background on CBRS (Optional)
5. How to do the CPI job (Optional)
6. Steps to certification (Optional)
7. The future (Optional) | Request your new certificate (Required): This is the only required module. Once you have filled out the form at the end of this module, you have completed all necessary steps. You should expect to receive your renewed credentials at least 3 business days before your certificate expired.
What is CBRS? (Optional): A quic... | Request your new certificate (Required): CPI Credential Renewal
What is CBRS? (Optional): Introduction,Citizens Broadband Radio Service and shared spectrum,CBRS ecosystem
The role of CPIs in CBRS (Optional): The role of CPIs in CBRS
More background on CBRS (Optional): SAS-CBSD Communication
How to do the CPI job (Opti... |
English for Career Development | 1. Unit 1: Entering the Job Market
2. Unit 2: Resumes
3. Unit 3: Writing a Cover Letter
4. Unit 4: Networking
5. Unit 5: Interviewing For a Job | Unit 1: Entering the Job Market: In this unit you will learn about the steps in the job search process.
Unit 2: Resumes: In this unit, you will learn how to describe yourself and your experiences in a résumé. The unit will also help you build your job-related vocabulary.
Unit 3: Writing a Cover Letter: This unit focuse... | Unit 1: Entering the Job Market: Course Overview: Introduction to the Career Development Process,Course Overview: Topics, Assessments, Games & Activities,Job Search Overview,Identifying Your Interests and Skills,Language Focus: Vocabulary and Word Forms Related to Jobs,Choosing the Job that's the Best Fit for You,Unloc... |
Introduction to Data Analytics | 1. What is Data Analytics
2. The Data Ecosystem
3. Gathering and Wrangling Data
4. Mining & Visualizing Data and Communicating Results
5. Career Opportunities and Data Analysis in Action | What is Data Analytics: In this module, you will learn about the different types of data analysis and the key steps in a data analysis process. You will gain an understanding of the different components of a modern data ecosystem, and the role Data Engineers, Data Analysts, Data Scientists, Business Analysts, and Busin... | What is Data Analytics: Course Introduction,Modern Data Ecosystem,Key Players in the Data Ecosystem,Defining Data Analysis,Viewpoints: What is Data Analytics?,Responsibilities of a Data Analyst,Viewpoints: Qualities and Skills to be a Data Analyst,A Day in the Life of a Data Analyst,Viewpoints: Applications of Data Ana... |
Structuring Machine Learning Projects | 1. ML Strategy
2. ML Strategy | ML Strategy: Streamline and optimize your ML production workflow by implementing strategic guidelines for goal-setting and applying human-level performance to help define key priorities.
ML Strategy: Develop time-saving error analysis procedures to evaluate the most worthwhile options to pursue and gain intuition for h... | ML Strategy: Why ML Strategy,Orthogonalization,Single Number Evaluation Metric,Satisficing and Optimizing Metric,Train/Dev/Test Distributions,Size of the Dev and Test Sets,When to Change Dev/Test Sets and Metrics?,Why Human-level Performance?,Avoidable Bias,Understanding Human-level Performance,Surpassing Human-level P... |
The Strategy of Content Marketing | 1. The Content Marketing Ecosystem
2. The Strategic Context (The 7A Framework)
3. Mapping the Journey: Crafting a Content Marketing Strategy
4. The Strategic Types of Content
5. Managing Your Content | The Content Marketing Ecosystem: In this module, you will be introduced to the content marketing ecosystem. You will be able to define what content marketing is and explain why it is important in today's market. You will discover the purpose of what content should be able to do and what makes content effective. You wil... | The Content Marketing Ecosystem: The Strategy of Content Marketing Introduction,Module Introduction,What Should Content Do?,Overview of the Structure for Effective Content,Building Your Professional Brand,Tips for Building Your Professional Brand,I Have My Site, Now What?,Interview with Stefanie Flaxman - Editor-in-Chi... |
Sequence Models | 1. Recurrent Neural Networks
2. Natural Language Processing & Word Embeddings
3. Sequence Models & Attention Mechanism
4. Transformer Network | Recurrent Neural Networks: Discover recurrent neural networks, a type of model that performs extremely well on temporal data, and several of its variants, including LSTMs, GRUs and Bidirectional RNNs,
Natural Language Processing & Word Embeddings: Natural language processing with deep learning is a powerful combination... | Recurrent Neural Networks: Why Sequence Models?,Notation,Recurrent Neural Network Model,Backpropagation Through Time,Different Types of RNNs,Language Model and Sequence Generation,Sampling Novel Sequences,Vanishing Gradients with RNNs,Gated Recurrent Unit (GRU),Long Short Term Memory (LSTM),Bidirectional RNN,Deep RNNs
... |
Fundamentals of Quantitative Modeling | 1. Module 1: Introduction to Models
2. Module 2: Linear Models and Optimization
3. Module 3: Probabilistic Models
4. Module 4: Regression Models | Module 1: Introduction to Models: In this module, you will learn how to define a model, and how models are commonly used. You’ll examine the central steps in the modeling process, the four key mathematical functions used in models, and the essential vocabulary used to describe models. By the end of this module, you’ll ... | Module 1: Introduction to Models: 1.1 Course Introduction,1.2 Definition and Uses of Models, Common Functions,1.3 How Models Are Used in Practice,1.4 Key Steps in the Modeling Process,1.5 A Vocabulary for Modeling,1.6 Mathematical Functions,1.7 Summary
Module 2: Linear Models and Optimization: 2.1 Introduction to Linea... |
Principles of Management | 1. Introduction to Management: Communicating with Direct Reports & Teams
2. Coaching Direct Reports & Teams and Influencing Without Authority
3. Strategy, Priorities, Projects
4. Making High-Quality, Ethical Decisions | Introduction to Management: Communicating with Direct Reports & Teams: In this module, you will be introduced to the skills and tools needed to create and launch teams and communicate clearly and professionally with direct reports, peers, and those above you on the organizational chart.
Coaching Direct Reports & Teams ... | Introduction to Management: Communicating with Direct Reports & Teams: Welcome to Principles of Management,Management: Easy to Understand, Hard to Do,Why Do Managers Matter?,Are Good Managers Born or Made?,What Do Managers Actually Do?,Managing Teams,Creating Successful Teams,Launching Successful Teams,Team Management,... |
Think Outside the Inbox: Email Marketing | 1. Introduction to think outside the inbox: email marketing
2. Types of email marketing
3. Useful tools for email marketing
4. Collect and analyze email campaign data
5. Run your own email marketing campaign | Introduction to think outside the inbox: email marketing: You will explore what email marketing is, how it works, and why it’s useful. You’ll also learn the importance of email marketing to meet business goals. Then, you’ll use the PESTLE and SWOT frameworks to set SMART email marketing goals. To wrap up module 1, you’... | Introduction to think outside the inbox: email marketing: Introduction to Course 4,Welcome to module 1,What is email marketing?,Taylor - Entry-level email marketing jobs and tasks,Miriam - Imposter syndrome,Conduct PESTLE and SWOT audits,Set SMART goals,The do's and don'ts of email marketing,Aaron - Do's and don’ts for... |
Introduction to Financial Accounting | 1. Week 1: Introduction and Balance Sheet
2. Week 2: Accrual Accounting and the Income Statement
3. Week 3: Cash Flows
4. Week 4: Ratio Analysis and Final Exam | Week 1: Introduction and Balance Sheet: To learn a foreign language like Accounting, you need quite a bit of practice in the basic foundations (grammar, syntax, idioms, etc.). This material is absolutely essential for being able to read and to understand books written in the language (in our case, financial statements... | Week 1: Introduction and Balance Sheet: 1.1.1: Financial Reporting Overview,1.1.2: Financial Reporting Example,1.2.1: Balance Sheet Equation,1.2.2: Assets, Liabilities, and Stockholders' Equity,1.3.1: Debit and Credit Bookkeeping I,1.3.2: Debit and Credit Bookkeeping II,1.4.1: Relic Spotter Case, Part 1,1.4.2: Relic Sp... |
AI Fundamentals for Non-Data Scientists | 1. Module 1 – Big Data and Artificial Intelligence
2. Module 2 – Training and Evaluating Machine Learning Algorithms
3. Module 3 – ML Application and Emerging Methods
4. Module 4 - Industry Interview
5. Module 5 - Generative AI | Module 1 – Big Data and Artificial Intelligence: In this module, you will be introduced to Big Data and examine how machine learning is used throughout various business segments. You will also learn how data is analyzed and extracted, and how digital technologies have been used to expand and transform businesses. You w... | Module 1 – Big Data and Artificial Intelligence: AI for Business Introduction,Course Introduction,Big Data Overview,Big Data Analysis,Data Management Tools,Data Management Infrastructure,Data Analysis: Extracting Intelligence from Big Data,Introduction to Artificial Intelligence,Machine Learning Overview,Reinforcement ... |
AI Infrastructure and Operations Fundamentals | 1. Introduction to AI | NVIDIA Training
2. AI Infrastructure
3. AI Operations | NVIDIA Training
4. Course Completion Quiz | Introduction to AI | NVIDIA Training: In this module, you will explore AI applications across various industries and delve into fundamental concepts of AI, Machine Learning (ML), and Deep Learning (DL).
Additionally, the course will introduce you to Generative AI, how Large Language Models (LLMs) work and new busine... | Introduction to AI | NVIDIA Training: Course Overview,AI Transformation Across Industries,Introduction to Artificial Intelligence,Generative AI Overview,Accelerating AI with GPUs,AI Software Ecosystems,Data Center and Cloud Computing
AI Infrastructure: Data Center Platform,GPUs and CPUs for AI,Multi-GPU Systems,Intro... |
OKR Certification: Leadership and Goal Setting | 1. Introduction to OKRs
2. Using OKRs within an Organization
3. CFRs and the Work of an OKR Cycle
4. Improving Your "Goal Setting Muscle" | Introduction to OKRs: In this introduction to OKRs, you will learn the basic definition and construction of OKRs.
Using OKRs within an Organization: In this module, you will learn how to OKRs function within an organization. Discover how OKRs can align many teams to the most important priorities at the top and how to a... | Introduction to OKRs: Welcome from John Doerr,What are OKRs?,What Makes a Good OKR?,Writing Your First Objectives,Incorporating the "Why",OKRs are not BAU,Refining your Objective,The Science of Key Results,Writing Great Key Results,Inputs, Outputs & Outcome,The 3 Kinds of OKRs,Refining your KRs - Part 1,Refining your K... |
Conduct UX Research and Test Early Concepts | 1. Planning UX research studies
2. Conducting research with usability studies
3. Analyzing and synthesizing research results
4. Sharing research insights for better designs | Planning UX research studies: Learn how to plan a UX research study! There are seven elements that your plan should include: the project background, research goals, research questions, key performance indicators, methodology, participants, and the script or questions you’ll ask participants. You'll explore each of thes... | Planning UX research studies: Introduction to Course 4: Conduct UX Research and Test Early Concepts,Samar - Working as a self- taught UX Researcher,Jason - My journey to UX,Understand the UX research process,Get to know the seven elements of a research plan,Start building a research plan: project background, research g... |
What is Data Science? | 1. Defining Data Science and What Data Scientists Do
2. Data Science Topics
3. Applications and Careers in Data Science
4. Data literacy for Data Science (Optional) | Defining Data Science and What Data Scientists Do: In Module 1, you delve into some fundamentals of Data Science. In lesson 1, you listen to how other professionals in the field define what data science is to them and the paths they took to consider data science as a career for themselves. You explore different roles d... | Defining Data Science and What Data Scientists Do: Course Introduction,What is Data Science?,Fundamentals of Data Science,The Many Paths to Data Science,Advice for New Data Scientists,Lesson Summary: Defining Data Science,A Day in the Life of a Data Scientist,Data Science Skills & Big Data,Understanding Different Types... |
Medical Neuroscience | 1. Getting Started in Medical Neuroscience
2. Neuroanatomy: Introducing the Human Brain
3. Neuroanatomy: Surface Anatomy of the Human CNS
4. Neuroanatomy: Internal Anatomy of the Human CNS
5. Neural Signaling: Electrical Excitability and Signal Propagation
6. Neural Signaling: Synaptic Transmission and Synaptic Plastic... | Getting Started in Medical Neuroscience: <p>Let's get started in Medical Neuroscience! Each module in Medical Neuroscience will begin with a brief description like this that provides you with an overview of the module. In this first module, you will get to know something about Prof. White and his career in neuroscience... | Getting Started in Medical Neuroscience: Professor White's Career in Neuroscience,The Scope of Medical Neuroscience,Learning resources for Medical Neuroscience,Your Part!,"Neur-run" with Professor White
Neuroanatomy: Introducing the Human Brain: Professor White's Favorite Places in the Human Brain,Functional Microanato... |
Human Resources Analytics | 1. HR Metrics Life Cycle
2. Staffing, Training and Compensation
3. Employee Relations and the Overall Human Resources Organization
4. Building Your Case and Creating Action | HR Metrics Life Cycle: We will begin this course by exploring the Human Resources Metric Life Cycle, which will include an analysis of the employee life cycle, HR agility, and the various types of metrics used to measure and drive business outcomes.
Staffing, Training and Compensation: In this module, we dive deep into... | HR Metrics Life Cycle: HR Metrics Lifecycle
Staffing, Training and Compensation: Staffing, Training and Total Rewards
Employee Relations and the Overall Human Resources Organization: Employee Relations & the Overall HR Organization
Building Your Case and Creating Action: Building Your Business Case and Creating Action |
Introduction to Systematic Review and Meta-Analysis | 1. Introduction
2. Framing the Question
3. Searching Principles and Bias Assessment
4. Minimizing Metabias, Qualitative Synthesis, and Interpreting Results
5. Planning the Meta-Analysis and Statistical Methods
6. Wrap Up and Final Peer Review Assignment | Introduction: To get the ball rolling, we'll take a broad overview of what to expect in this course and then introduce you to the high-level concepts of systematic review and meta-analysis and take a look at who produces and uses systematic reviews.
Framing the Question: In this module, we will discuss how to frame a q... | Introduction: Welcome to Systematic Reviews and Meta-Analysis,Lecture 1A : Introduction to Systematic Reviews,Lecture 1B: Introduction to Meta-Analysis,Lecture 1C: Producers and Users of Systematic Reviews,Hannah Rothstein, PhD
Framing the Question: Lecture 2A: Resources for How to Frame Your Question,Lecture 2B: Decid... |
Assess for Success: Marketing Analytics and Measurement | 1. Introduction to Assess for success: Marketing analytics and measurement
2. Use metrics from Google Analytics and Google Ads
3. Measure the success of marketing campaigns
4. Share metrics and insights with stakeholders | Introduction to Assess for success: Marketing analytics and measurement: You will learn about marketing campaigns and how marketers set performance goals. You’ll also explore media planning and practice creating your own media plan. Finally, you’ll be introduced to common tools used in marketing analytics and how they ... | Introduction to Assess for success: Marketing analytics and measurement: Introduction to Course 5,Welcome to module 1,Media plans and performance goals,What is media planning?,Michael - Gaining understanding through analytics and measurement,Set performance goals,Angela - Make data, analytics, and metrics work together... |
Global Diplomacy – Diplomacy in the Modern World | 1. Welcome
2. E-tivity1: What is Diplomacy?
3. E-tivity 2 Success and Failure in Diplomacy
4. E-tivity 3: The Qualities of a 'Good' Diplomat
5. E-tivity 4: Diplomacy in Action
6. E-tivity 5: Reflections on Diplomacy | Welcome: Welcome to Global Diplomacy: Diplomacy in the Modern World.
E-tivity1: What is Diplomacy?: In this E-tivity we will question the nature of diplomacy and construct a definition.
E-tivity 2 Success and Failure in Diplomacy: Welcome to the second week of Global Diplomacy: Diplomacy in the Modern World. This modul... | Welcome: Read Me First,Course Outline,Classic Diplomatic Texts
E-tivity1: What is Diplomacy?: What is Diplomacy?,Simon discusses the key characteristics of Global Diplomacy
E-tivity 2 Success and Failure in Diplomacy: Success in Diplomacy,Failure in Diplomacy
E-tivity 3: The Qualities of a 'Good' Diplomat: What are the... |
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