Introduction to Data Science with R

Author

Florian Hartig, Melina de Souza Leite, Lisa Hülsmann, Alexandra Koch, Magdalena Mair, and Maximilian Pichler

Published

March 1, 2025

Preface

Material for a introductory block course in Statistics and Data Science with R, taught at the University of Regensburg. The main topics are:

  • 1: Getting started with R and descriptive statistics

  • 2: Graphics

  • 3: Statistical inference

  • 4: Hypthesis testing and linear regression (simple, multiple)

  • 5: Generalised linear models (GLM) and multivariate statistics

  • 6: Data science skills, data analysis projects workflow, and predictive modeling

Link to the UR GRIPS course here (requires UR account).