Course Schedule
This schedule is best understood as a draft that will be adjusted as needed.
Date | Main Topics |
---|---|
Before first day of class | Lesson Zero |
May 20 | Workshop orientation Quick tour of R Studio Getting to know data in R |
May 21 | R documentation Importing tabular files Data transformation & wrangling Exporting R objects to file |
May 22 | Reshaping data Combining data sets Data aggregation + summary |
May 23 | Visualizing data with ggplot Finding help Reproducible research in R keeping up with R |
May 24 | Open time for questions |
Extra | How to repeat actions |