Data Science Courses

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

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

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

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

Live Faculty Access, Now Included

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

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.

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

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

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

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

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.

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.

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

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

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

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.

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.

Learn how leaders can use AI and data science to improve decision-making, innovation, and business performance in this course from Harvard Business School (HBS) Online.

Explore the risks and rewards of data privacy and collection.

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

Explore the risks and rewards of data privacy and collection.

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

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

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

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.

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