*Note: Instructor consent required*
This course is an introduction to programming in the R statistical language. R is a flexible, open-source statistics platform which has gained broad adoption in a variety of fields. Through interacting with R, RStudio, and elements of the ?Tidyverse? (a collection of R packages for data manipulation, analysis, and visualization), students will learn the fundamentals of working in R. By completing this class, students should have the baseline skills necessary to continue their self-study in R on topics suited to their own interests.
This course covers fundamentals of programming in R, object types and structure, import and use of packages for expanding R?s capabilities, data management, and basic analysis. The course is graded credit/no credit (pass/fail), with weekly review ?tasks? in R. Students are not expected to have prior experience in R or other programming, but familiarity with basic concepts in statistics is recommended.
Combined w/ PubPol 577.
This course meets during the first half of the semester: 9/03/19 - 10/18/19.
