Beginning Data Science in R

1. Introduction to R Programming
Thomas Mailund

2. Reproducible Analysis
Thomas Mailund

3. Data Manipulation
Thomas Mailund

4. Visualizing Data
Thomas Mailund

5. Working with Large Datasets
Thomas Mailund

6. Supervised Learning
Thomas Mailund

7. Unsupervised Learning
Thomas Mailund

8. More R Programming
Thomas Mailund

9. Advanced R Programming
Thomas Mailund

10. Object Oriented Programming
Thomas Mailund

11. Building an R Package
Thomas Mailund

12. Testing and Package Checking
Thomas Mailund

13. Version Control
Thomas Mailund

14. Profiling and Optimizing
Thomas Mailund

Avainsanat: Computer Science, Data Mining and Knowledge Discovery, Big Data, Programming Languages, Compilers, Interpreters, Data-driven Science, Modeling and Theory Building, Programming Techniques