Courses

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

Think critically about social questions such as education policy, upward income mobility, and racial disparities, and understand how big data can answer these questions as well as impact policies that lead to improved outcomes around the world.

Increase your quantitative reasoning skills through a deeper understanding of probability and statistics, with the engaging “Fat Chance” approach that’s made this course a favorite among learners worldwide.

This Harvard Medical School one-year, application-based certificate program helps leaders effect positive change by learning to turn patient data into actionable, transformable knowledge.

Agentic AI is changing how professionals and teams think about work, automation, and human-AI collaboration.

Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data.

Apply tools of single-variable calculus to create and analyze mathematical models used by real practitioners in social, life, and physical sciences.

This is CS50’s introduction to computer science and tech literacy for business professionals.

AI in Action provides the insights and tools you'll need to understand and utilize AI in all its forms.

Negotiation Strategies: Building Agreement Across Boundaries is an executive program that goes beyond other negotiation workshops to address the challenges of negotiating across cultures, organizations, and sectors.

Explore the risks and rewards of data privacy and collection.

Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

Learn to use machine learning in Python in this introductory course on artificial intelligence.

Data Science and AI Principles is a Harvard Online course that gives you an overview of data science and AI systems with a nearly code- and math-free introduction to prediction, causality, visualization, data wrangling, privacy, ethics.

Collaborating for Public Value equips you for the full lifecycle of collaboration—from deciding when to work together, to structuring partnerships, to navigating the opportunities and challenges of cross-sector relationships.

Learn what is involved in using data wisely to build a culture of collaborative inquiry. 

Gain practical skills and clinical insight in pediatric exercise testing through the first course dedicated to exercise physiology in children with congenital and acquired heart disease—designed for health care professionals and featuring online content,

How can we eradicate malaria? Explore cutting-edge science and technology, and examine policies needed, to control and eliminate malaria.

Learn about advances in interpretation of medical images using deep learning systems that can aid in clinical screening and diagnosis.

This course is a variant of Harvard University's introduction to computer science, CS50, designed especially for lawyers (and law students).

Negotiation Strategies: Building Agreement Across Boundaries is an executive program that goes beyond other negotiation workshops to address the challenges of negotiating across cultures, organizations, and sectors.

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

Combine literary research with data science to find answers in unexpected ways. Learn basic coding tools to help save time and draw insights from thousands of digital documents at once.

In partnership with the Disparities Solutions Center at Massachusetts General Hospital, this course will help you deliver high-quality health care to all through organizational change.

Build practical skills that will prepare you to interpret data, test ideas, and apply predictive and AI insights to real-world business decisions in this course from Harvard Business School (HBS) Online.

A focus on several techniques that are widely used in the analysis of high-dimensional data.

Learn to use R programming to apply linear models to analyze data in life sciences.

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

Learn how to protect your own data, devices, and systems from today's threats.