Welcome! This course assumes knowledge of epidemiology but does not assume knowledge of R. It is intended to introduce epidemiologists to R for their research.
- For each topic, there is an online tutorial that can be completed online without installing R on your desktop. Complete these before doing the homework assignments.
- The reading suggestions are from Hadley Wickham's free ebook R for Data Science. These are optional readings that can serve as a supplement to the tutorials for students who find them helpful.
- To download homework assignments and data for homework assignments, right click on the links in the table below and select "save link as".
- To see a video with instructions on how to view comments on your homework submission in okpy, click here.
| # | Topic | Tutorials | Homework | Optional Reading |
|---|---|---|---|---|
| 1 | Introduction to R | Intro to R | Certificate of completion | Workflow basics, Scripts, Tibbles, Data Import, Strings, Factors, Vectors |
| 2 | View and summarize data | Prevalence | Homework Setup Homework | Data transformation, Pipes |
| 3 | Make calculations with data | Incidence | Homework | Data transformation, Pipes |
| 4 | Write functions | Functions | Homework | Functions |
| 5 | Iterations | Iteration | Homework | Iteration |
| 6 | Data visualization | Data visualization | Homework | Data visualization |
| 7 | Working with relational data | Relational data | Homework | Tidy data, Relational data |
| 8 | Epidemiologic data analysis | Coming soon | ||
| 9 | Reproducible workflows | Coming soon |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Trial run.
