Course Schedule

This schedule is best understood as a draft that will be adjusted as needed.

Date	Topics	practice problems
Before first day of class	Lesson Zero
May 20	Workshop orientation Quick tour of R Studio Getting to know data in R Installing R packages
May 21	R documentation Importing tabular files Data transformation & wrangling Exporting R objects to file
May 22	Data aggregation + summary Reshaping data Combining data sets
May 23	Combining data sets (part 2) Visualizing data in R with ggplot
May 24	Finding help Reproducible research in R Open time for questions
Extra	How to do repeating actions