Courses

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.

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

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

Data Science and AI Principles is a Harvard Online course that gives you an overview of data science and AI systems with a nearly code- and math-free introduction to prediction, causality, visualization, data wrangling, privacy, ethics.

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

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

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

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

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

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

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.

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

Build practical deep learning skills for Python-savvy professionals.

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

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

An on-campus program to help architects, designers, workplace professionals, and people experts design their workplace for 2026 and beyond.

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