Link to this course in Coursera: https://www.coursera.org/learn/r-programming/home/
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Week 1: Overview of R, R data types and objects, reading and writing data
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Week 2: Control structures, functions, scoping rules, dates, and times
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Week 3: Loop functions, debugging tools
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Week 4: Simulation, code profiling
The book R Programming for Data Science covers all of the lecture material in this course. You can buy the book and its packages on this website for $20 (or higher) or only the book at no cost.
| Week | Part | Name | Link |
|---|---|---|---|
| 1 | 0 | Background Material | |
| 1 | 0.1 | Welcome to R Programming | link |
| 1 | Week 1: Background, Getting Started, and Nuts & Bolts | ||
| 1 | 1 | Getting Started and R Nuts and Bolts | link |
| 1 | 2 | Subsettings | link |
| 2 | Week 2: Programming with R | ||
| 2 | 1 | Programming with R | link |
| 2 | 2 | Dates and Times in R | link |
| 3 | Week 3: Loop Functions and Debugging | ||
| 3 | 1 | Week 3: Loop Functions and Debugging | link |
| 4 | Week 4:Simulation & Profiling | ||
| 4 | 1 | Week 4:Simulation & Profiling | link |