1. Introduction to R
2. IDE tools for R with Anaconda
3. Variables & Types
4. Basic string operation
5. Data structure
5.1 Data structure (Vector and List)
5.2 Factor and Multi-dimensional structure (Matrix and Data frames)
6. Basic operators and accessing element in data structure
7. Function
8. Conditions
9. Loops
10. Visualization using ggplot2
10.1 Grammar of ggplot and scatter plot
10.2 Facet wrap
10.3 Smooth plot
10.4 Boxplot, Violin plot, Jitter plot, Histogram, Bar chart and Frequency polygon
10.5 Time series
10.6 Modifying axes
11. Multicore feature on workstation
12. Machine learning and Deep learning with R
13. R with Pilot HPC Platform
14. Statistics with R
