Courses

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

Build practical deep learning skills for Python-savvy professionals.

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

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

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

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

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

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

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.

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.

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

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

Live Faculty Access, Now Included

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

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.

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

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

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.

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.

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.

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

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.

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

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

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