Free Courses

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

Explore the birth of modern China with a focus on the time between the fall of the Qing and the end of World War II.

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

A human-centered approach to the fundamentals of cell biology with a focus on the power plants of the cell - mitochondria.

Learn inference and modeling: two of the most widely used statistical tools in data analysis.

Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.

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

Explore how entrepreneurship and innovation tackle complex social problems in emerging economies.

Embark on a global journey to explore the past, present, and future of world literature.

Why should we care about Confucius? Explore ancient Chinese philosophy, ethics, and political theory to challenge your assumptions of what it means to be happy, live a meaningful life, and change the world.

Explore the Maoist period of China, from the Communist Party to the death of Mao and the reopening of China.

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

Explore and understand your own theories of learning and leadership. Gain the tools to imagine and build the future of learning.

Explore the impact of the conquest dynasties and the world of the Ming.

A quantitative introduction to the energy system and its environmental impacts.

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

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Learn how electricity makes the neurons in your brain tick.

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.

Learn how to create, read, update, and delete data with relational databases.

Take your introductory knowledge of Python programming to the next level and learn how to use Python 3 for your research.

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.

An overview of divination systems, ranging from ancient Chinese bone burning to modern astrology.

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

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

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

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

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

Explore the ethical controversies of financial markets.

Explore how entrepreneurs build successful businesses by moving technology from lab to market.