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.

People, Technology and the Future of Mobility


تنميط متقدم بتصميم سريع الاستجابة

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.

Colleen van Lent, Ph.D.
Charles Russell Severance


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.

35 hours - approx 5 hours/per week for 7 weeks

Science of Firearm Injury Prevention Among Children & Teens

Marc A Zimmerman, PhD
Patrick Carter, MD
Rebecca Cunningham


Applied Text Mining in Python

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.


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.

Database Design and Basic SQL in PostgreSQL


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.

Service Transformed: Lessons in U.S. Veteran Centered Care

Monica Lypson, M.D., M.H.P.E.
Paula Ross, Ph.D.


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.

Sleep: Neurobiology, Medicine, and Society

Ralph Lydic, Ph.D.
Helen Baghdoyan, Ph.D.


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.

Politics and Ethics of Data Analytics in the Public Sector


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.

Erfolgreich Verhandeln: Strategien und Fähigkeiten


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.

Plan on setting aside 2-3 hours each week to explore life in graduate school in the U.S. together.

Preparing for Graduate Study in the U.S.: A course for international students


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.


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.

Advancing Health Equity: A Guide to Reducing Bias in Healthcare


Inspiring and Motivating Individuals

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.


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.

Inferential Statistical Analysis with Python

Brenda Gunderson
Brady T. West
Kerby Shedden


إلهام الأفراد وتحفيزهم

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.

4 أسابيع من الدراسة، من 3 إلى 5 ساعات/ أسبوعيًا


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!

Finding Purpose and Meaning In Life: Living for What Matters Most


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.

Breastfeeding: Public Health Perspectives


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.


Envisioning Educational Transformation

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.


투자 기술의 혁신: AI

"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."


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.

Becoming a Social Entrepreneur: Getting Started


AI for Autonomous Vehicles and Robotics

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.


The Basics of Rocket Science

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.


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/

Negociación exitosa: Estrategias y habilidades esenciales (en español)


Advanced Styling with Responsive Design

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.


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

Impacting the Opioid Crisis: Prevention, Education, and Practice for Non-Prescribing Providers


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.

Mindware: Critical Thinking for the Information Age


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).

Réussir une négociation : Stratégies et compétences clés


Introductory Human Physiology

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.


Business Value Creation

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.


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!

Data Visualization and Modeling in Python

Genevieve M. Lipp
Nick Eubank
Kyle Bradbury
Andrew D. Hilton


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.

Data Visualization and Transformation with R


Christian Virtues for Spiritual Growth

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.


Nanotechnology: A Maker’s Course

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.

The University of North Carolina at Chapel Hill

Nan M. Jokerst
Carrie Donley
James Cahoon
Jacob Jones


Telehealth: Musculoskeletal Assessment

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.


Customer-Centric Innovation

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.


Telehealth Clinical Essentials

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.


Introduction to Machine Learning

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.

Lawrence Carin
David Carlson
Timothy Dunn
Kevin Liang


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.

Build a Static Website with Rust and Zola


Web Scraping with Python

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.


Forming Christ-Shaped Leaders

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.


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.

Community-Based Climate Change Solutions


Managing Big Data with MySQL

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.


Linear Regression and Modeling

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.


Introduction to FastAPI framework

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.


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.

Agile Strategy for Competitive Advantage


The Brain and Space

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.


Introduction to Flask framework

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


Agile Decision-Making Frameworks

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.


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.

Each module is split in videos, you can finish a module in a week. Quizzes should take minutes.

Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital


FinTech Law and Policy

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.


Data Science Math Skills

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!


Civic Engagement in American Democracy

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.

Dr. Bruce W Jentleson
Deondra Rose, PhD
Kenneth Rogerson
Nicholas Carnes
Philip Bennett
Tana Johnson
Bill Adair
Frederick W. Mayer


핀테크 법률 및 정책

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.


End to End LLMs with Azure

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.


Chimpanzee Behavior and Conservation

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.


Python Decorator Functions

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.


Drones for Environmental Science

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.


Databricks to Local LLMs

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.

5 hours a work a week of study for a total of 20 hours


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.

Digital Transformation for Agile Organizations


Visual Perception and the Brain

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.


Dog Emotion and Cognition

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.


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.

Python and Rust with Linux Command Line Tools


Data Tidying and Importing with R

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.


Startup Valuation Methods

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.


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.

Cloud Machine Learning Engineering and MLOps


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.

Think Again I: How to Understand Arguments

Dr. Walter  Sinnott-Armstrong
Dr. Ram  Neta


Pointers, Arrays, and Recursion

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.

Andrew D. Hilton
Anne Bracy
Genevieve M. Lipp


人体生理学导论（中文版）

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。


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.

Agile Dashboards for Data-Driven Decision-Making


English Composition I

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


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.

Telehealth: Interprofessional Team-Based Care


Advertising and Society

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.


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.

4 أسابيع، 3-5 ساعات في الأسبوع

مقاييس الأعمال للشركات التي تعتمد على البيانات


AI for Productivity

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.


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

ART of the MOOC: Activismo y Movimientos Sociales


Data Science Ethics with R

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.


Decentralized Finance (DeFi) Deep Dive

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).


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.

Civil Registration & Vital Statistics in Population Health

Michelle Colder Carras
shivani pandya
Smisha Agarwal


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.

Road Safety & Indigenous Communities: Safe Systems Approach


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.

Data Science Decisions in Time: Using Causal Information


R البرمجة باستخدام لغة

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.

Roger D. Peng, PhD
Jeff Leek, PhD
Brian Caffo, PhD


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.

Designing for Sustainment: Keeping Improvement Work on Track (Patient Safety IV)


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.

Training and Learning Programs for Volunteer Community Health Workers


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.

The Social and Technical Context of Health Informatics


Chatbots

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!