Practical R Programming

Course Code

STAT 27815 97

Course Description

This course covers a practical set of skills vital to modern statistics and data science in handling messy, real-world data. Throughout the course, students will practice reproducible research with version control and literate programming. They will think algorithmically with base R objects, control flow, functions, and iteration.

Students will also be introduced to a variety of tidyverse data wrangling methods to import, clean, transform, join, and summarize their data. Finally, students will visualize and explore data using the grammar of graphics framework. Additional introductory topics may be discussed.

No programming experience is required, although some will be helpful. Credit may not be earned for both STAT 27815 and STAT 37815.

Course Criteria

Instructor(s)

Ryan McShane

¹ UChicago students can self-register.

² Visiting students and pre-college students apply through the same application.