Data Science Courses

Build practical deep learning skills for Python-savvy professionals.

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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.

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.

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.

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

Master how to use AI in your everyday work and drive impact at your organization. Access on-demand content and expert-led sessions to help you apply AI to real business challenges—last day to join: Aug. 30, 2026. Access continues through Dec. 2026.

Explore the risks and rewards of data privacy and collection.

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

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

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

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

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

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

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.