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Fundamentals of R 1. The R Enviroment 2. Basic Commands 3. Creating Data 
Data Manipulation with "dplyr" 1. The Seven Verbs 2. Working with Multiple Tables 
Statistics with R 1. Summary Statistics 2. Testing Normality 3. Inference Procedures 4. Outliers 
Programming 1. For Loops 2. While Loops 3. "apply()" Functions 
Analysing Your Data with R 1. Inspecting a Data Set 2. Summary Statistics 3. Working with Logical Values 
Data Visualization with ggplot 
Computational Tasks 1. The Clever Lecturer 2. Monty Hall 3. Gambler's Fallacy 4. Gambler's Ruin 5. Dice Rolls Experiments 
Tidy Code and Tidy Data 1. The pipe operator from "magrittr" 2. The "tidyr" package 3. The "broom" package 
Mathematical Functions

Text Data and Time and Date Data  Advanced Machine Learning Topics The caret R Package 
Shiny Web Applications 