Free Courses

Expand your learning of chemistry and thermodynamics by exploring entropy, free energy, and equilibrium.

Access to healthcare services is critical – but is it enough?

The culmination of the MicroBachelors® program.

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

Learn how electricity makes the neurons in your brain tick.

Join Harvard faculty in this online course to discover the physical history of the Jewish bible.

Learn about the Quran, the central sacred text of Islam, through an exploration of the rich diversity of roles and interpretations in Muslim societies.

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

Designed for current and aspiring nonprofit leaders, this course helps learners build the confidence needed to make stronger financial decisions in mission-driven organizations.

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

Explore the underlying structures of everyday arguments and develop the tools to communicate effectively.

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.

This course picks up where CS50 leaves off, diving more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.

Learn how to better understand the rich and complex ways that religions function in historic and contemporary contexts.

Examine how cultures of the ancient world defined themselves through literature and how their vision of literature contributes to our understanding of civilization, culture, and literature today.

Top chefs and Harvard researchers explore how everyday cooking and haute cuisine can illuminate basic principles in chemistry, physics, and engineering. Learn about food molecules and how chemical reactions can affect food texture and flavor.

Show what you’ve learned from the Professional Certificate Program in Data Science.

Top chefs and Harvard researchers explore how traditional and modernist cooking techniques can illuminate basic principles in chemistry, physics, and engineering. Learn about elasticity, viscosity, mayonnaise, baking, and more!

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

Get the opportunity to see TinyML in practice. You will see examples of TinyML applications, and learn first-hand how to train these models for tiny applications such as keyword spotting, visual wake words, and gesture recognition.

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.

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

Examine the inner workings of the three branches of the U.S. Federal Government

Learn the fundamentals of chemistry and energy, from the types of energy to atomic mass and matter to enthalpy and thermodynamics.

An in-depth look at the 1854 London cholera epidemic in Soho and its importance for the field of epidemiology.

Understanding the context for the Ebola outbreak: What went right, what went wrong, and how we can all do better.

Learn about the development of 2D and 3D interactive games in this hands-on course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more.

HKS Executive Education and Harvard's John A. Paulson School of Engineering and Applied Sciences present a webinar featuring Harvard faculty Martin Wattenberg and Fernanda Viégas.

Use the case study method to study China from the rise of Deng Xiaoping to the present.

Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.