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

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

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

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

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

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

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

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

Learn the concepts and techniques that make up the foundation of data science and machine learning.

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

Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty.

Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty.