This Github repository contains materials for the 2018 Masters of Science in Analytics program boot camp, including lecture notes, slides, and exercises.
| Session | Content | Lecture notes | Slides | Exercises |
|---|---|---|---|---|
| Day 1 | Review; Reading and writing files; Data manipulation in base R; Data visualization in base R | Lecture notes | Slides | Exercises |
| Day 2 | RMarkdown; Loops, conditionals, and functions; R and Github | Lecture notes | Slides | Exercises |
| Day 3, part 1 | Advanced manipulation: reshaping, merging, and dplyr | Lecture notes | Slides | Exercises |
| Day 3, part 2 | Advanced manipulation and data.table | Lecture notes | Slides | Exercises |
| Day 3, part 3 | Data visualization with ggplot | Lecture notes | Slides | Exercises |
Instructions for the final exercise on Day 3 can be found here.
The R materials used in Days 1 and 2 are based on the Intro to R workshop from NUIT Research Computing Services, created by Christina Maimone. They have been expanded and modified by Kumar Ramanathan and Richard Morel, the instructors for the R sessions during Days 1 and 2 respectively. The materials for Day 3 are original and have been developed by Richard Morel, Ali Ehlen, and Kumar Ramanathan, who are the joint instructors for Day 3.