1. Migrating to R
2. Input and Output
3. Data Structures
4. Merging and Reshaping Datasets
5. Working with Dates and Strings
6. Working with Tabular Data
7. Working with Numerical Data
8. Graphics and Data Visualization
9. Probability Distributions
10. Tests of Differences
11. Tests of Relationships
12. Modern Robust Statistics
13. Writing Functions
14. Working with Financial Data
15. Dealing with Big Data
16. Introduction to Text and Data Mining