Courses

The Introduction to Nonprofit Accounting and Financial Statements webinars provide a great opportunity to learn the basic principles of nonprofit accounting.

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

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

Reimagine global health problems with some of the leading global health thinkers and actors through a case-based biosocial framework.

Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.

An exploration of the dynamics of contemporary China using the tools of close reading, discussion, and analysis.

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

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

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

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

Learn how the Manchus conquered the Qing and established the last of the imperial dynasties.

Learn to process and convert raw data into formats needed for analysis.  

This introduction to moral and political philosophy is one of the most popular courses taught at Harvard College.

Traces Albert Einstein’s engagement with relativity, quantum mechanics, Nazism, nuclear weapons, philosophy, the arts, and technology.

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.

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.

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