Courses

Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty.

Explore digital innovations set to reshape the health care landscape in the U.S. and worldwide. Gain an in-depth understanding of how they will revolutionize health care delivery, enhance patient care, and drive improved clinical outcomes.

Build a foundational understanding of AI concepts with this course from Harvard Business School (HBS) Online.

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

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

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.

A gentle introduction to programming that prepares you for subsequent courses in coding.

An introduction to the intellectual enterprises of computer science and the art of programming.

Taught by Harvard Law School faculty, Financial Analysis and Valuation for Lawyers is a Harvard Online course designed to help you navigate your organization or client’s financial goals while increasing profitability and minimizing risks.

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

Lead the strategic response to cyber risk.

The successful implementation of AI solutions in clinical practice requires teams that are skilled in multiple disciplines, including data science, user-centered design, subject-matter expertise, change management, and more. However, the health care field

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.

Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.

Explore the risks and rewards of data privacy and collection.

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

Learn the significance of electrochemistry, understanding how electrical, chemical, and mechanical energy are linked.

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

Learn basic data visualization principles and how to apply them using ggplot2.

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.

Discover library design best practices, tour a world-famous library, and apply your new learnings in group design exercises.

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

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

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.

A focus on the techniques commonly used to perform statistical inference on high throughput data.

This three-course program from Harvard Business School (HBS) Online will teach you the fundamental skills to confidently contribute to business decisions and decision-making.  

A significant amount of research has indicated that many, if not all, types of pain are undertreated.

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

This course introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning). Learners explore best practices to deploy, monitor, and maintain (tiny) Machine Learning models in production at scale.