Courses

Learn how to effectively use data to tackle your business decisions. Designed for managers, this course provides a hands-on approach for demystifying the data science ecosystem and making you a more conscientious consumer of information.

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.

Leading Successful Programs will challenge you to rethink your programs' goals and reassess how you gather, evaluate, and use data to determine their effectiveness.

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

Taught by Harvard Law School faculty, Financial Analysis and Valuation for Lawyers is a Harvard Online course designed to help you navigate your organization or client’s financial goals while increasing profitability and minimizing risks.

Increase your quantitative reasoning skills through a deeper understanding of probability and statistics, with the engaging “Fat Chance” approach that’s made this course a favorite among learners worldwide.

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

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

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

In partnership with the Disparities Solutions Center at Massachusetts General Hospital, this course will help you deliver high-quality health care to all through organizational change.

This three-course program from Harvard Business School (HBS) Online will teach you the fundamental skills to confidently contribute to business decisions and decision-making.  

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

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

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

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

Learn what is involved in using data wisely to build a culture of collaborative inquiry.