Introduction to Data Science with R
Preface
Material for a introductory 1-week course in Data Science, taught at the University of Regensburg.
Day 1: Getting started with R and descriptive statistics
Day 2: Graphics and statistical inference
Day 3: Hypthesis testing and linear regression (simple, multiple)
Day 4: Generalised linear models (GLM) and multivariate statistics
Day 5: Data science skills, data analysis projects workflow, and predictive modeling
Link to the UR GRIPS course here (requires UR account)