Course Material

The following books and course notes are designed to give students a foundational understanding of the material. Some topics are intentionally simplified and certain details are omitted so that the focus can remain on developing the core concepts and skills.

Introduction to Data Science

Programming, data exploration, probability, and statistical inference in R.

Exploratory Data Analysis

Data wrangling, visualization, inference, and exploratory methods in R.

Machine Learning

Regression, classification, model selection, and machine learning methods in R.