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.

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

Discover library design best practices, tour a world-famous library, and apply your new learnings in group design exercises.

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

Dive into the mechanisms of action and exciting applications of new FDA-approved genetic medicines.

A focus on the techniques commonly used to perform statistical inference on high throughput data.

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

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

Explore digital innovations set to reshape the health care landscape in the U.S. and worldwide. Gain an in-depth understanding of how they will revolutionize health care delivery, enhance patient care, and drive improved clinical outcomes.

This course from Harvard Business School (HBS) Online will teach you the practical skills to turn data insights into strategic action.

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.

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

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

Discover how artificial intelligence is transforming today's businesses and how you can leverage it to grow your company into an AI-first leader.

Build a foundational understanding of AI concepts with this course from Harvard Business School (HBS) Online.

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

Learn about advances in interpreting biomedical signals and the use of machine learning and deep learning to aid in analysis and diagnosis.

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

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.

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.

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

Learn the significance of electrochemistry, understanding how electrical, chemical, and mechanical energy are linked.

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

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

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.

The structure, annotation, normalization, and interpretation of genome scale assays.

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

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