DATA 309 - Data Visualization and Programming in R

Offered Fall: Yes Offered Winter: No Offered Summer: No Offered Other: No

4 Credits
Hours (Lecture - Discussion - Lab): 4-0-0
Prerequisites: DATA 109 (“C-” or better) or instructor permission.

The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. We will use these skills to develop data visualizations in R. Topics in statistical data analysis will provide working examples.