Data Science 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.

A focus on several techniques that are widely used in the analysis of high-dimensional data.

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

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

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.  

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.

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

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

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

Explore the risks and rewards of data privacy and collection.

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.

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

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

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

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

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

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.

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

Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.

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

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

This Harvard Medical School one-year, application-based certificate program helps leaders effect positive change by learning to turn patient data into actionable, transformable knowledge.

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

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

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

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

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

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