Courses

Build practical deep learning skills for Python-savvy professionals.

Master how to use AI in your everyday work and drive impact at your organization. Access on-demand learning modules, expert-led sessions, and Harvard insights that help you apply AI to real business challenges—join today for access through September 2026.

Learn to use R programming to apply linear models to analyze data in life sciences.

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.

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

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

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.

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

Build practical skills that will prepare you to interpret data, test ideas, and apply predictive and AI insights to real-world business decisions in this course from Harvard Business School (HBS) Online.

This 17-week online credential program from Harvard Business School (HBS) Online will teach you the fundamental skills professionals need to succeed today.  

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

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

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

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

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

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

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

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

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

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.

Sentar las bases de conocimiento en R y aprender a discutir, analizar y visualizar datos.

Learn how to use decision trees, the foundational algorithm for your understanding of machine learning and artificial intelligence.

Develop skills in digital research and visualization techniques across subjects and fields within the humanities.

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

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

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.

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 on-campus program to help architects, designers, workplace professionals, and people experts design their workplace for 2026 and beyond.

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

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