Statistical and Data Sciences 270 - Advanced Programming for Data Science

This course is not about data analysis—rather, students will learn the R programming language at a deep level. Topics may include data structures, control flow, regular expressions, functions, environments, functional programming, object-oriented programming, debugging, testing, version control, documentation, literate programming, code review, and package development. The major goal for the course is to contribute to a viable, collaborative, open-source, publishable R package. Prerequisites: SDS 192 and CSC 111, or equivalent. Enrollment limited to 40.