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.

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

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.

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

Explore the risks and rewards of data privacy and collection.

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

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

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

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.

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

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

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.

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

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.

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

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

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

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

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

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

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

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

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.

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