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.  

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

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.

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.

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

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

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

Explore the risks and rewards of data privacy and collection.

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

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

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

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

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

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

Live Faculty Access, Now Included

Explore the risks and rewards of data privacy and collection.

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.

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

Live Faculty Access, Now Included

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.

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.

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

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

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

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