STA 3100
Programming With Data in R
Introduction to statistical computing and programming with data. Topics include basic programming in R; data types and data structures in R; importing and cleaning data; specifying statistical models in R; statistical graphics; statistical simulation using pseudo-random numbers; reproducible research and the documentation of statistical analyses.
Topics
- basic programming in R
- data types and data structures in R
- importing and cleaning data
- specifying statistical models in R
- statistical graphics
- statistical simulation using pseudo-random numbers
- reproducible research and the documentation of statistical analyses
Topics explicitly listed in official catalogue description
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: STA 2023 with a minimum grade of B or ( STA 3024 or STA 3032 with a minimum grade of B-) or (AP statistics score of 4 or 5). Attributes: Artificial Intelligence
Sources
- Course catalogue ↗2025-2026
- Catalogue entry ↗
Catalogue variants
- Programming With Data in R · 3 Credits