General Courses

Explore the risks and rewards of data privacy and collection.

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.

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

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

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

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

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

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

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.

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

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

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

Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.

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

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.

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

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.

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

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.

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

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

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.

Explore the risks and rewards of data privacy and collection.

Discover how to combine AI-powered analysis with visual storytelling to turn complex data into clear insights that drive smarter decisions.

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

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