Courses

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

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.

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

Develop the clinical, operational, and regulatory perspective required to lead the adoption and scaling of digital and AI-driven care models.

Contracts are a part of our everyday life, arising in collaboration, trust, promise and credit. How are contracts formed? What makes a contract enforceable? What happens when one party breaks a promise?

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

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.

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.

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

An online executive program to explore how policy and technology, together, can address critical threats of the cyber world.

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

This on-campus executive program is designed to equip leaders with the technical, strategic, and policy foundations necessary to navigate these critical emerging technologies.

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

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.