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.
• See the Resources page for instructions about how to best organize homework files to facilitate loading datasets.

Click here to view video with course instructions

#	Topic	Tutorials	Homework	Optional Reading
1	Introduction to R	Intro to R	Homework Setup	Workflow basics Scripts Tibbles Data import Strings Factors Vectors
2	View and summarize data	Prevalence	Homework 02	Data Transformation Pipes
3	Make calculations with data	Incidence	Homework 03	Data Transformation Pipes
4	Write functions	Functions	Homework 04	Functions
5	Iterations	Iteration	Homework 05	Iteration
6	Data visualization	Data visualization	Homework 06	Data visualization
7	Working with relational data	Relational data	Homework 07	Tidy data Relational data
8	Epidemiologic data analysis	Data analysis	Homework 08a Homework 08b Homework 08c	Model basics
9	Reproducible workflows	RMarkdown	Homework 09	RMarkdown