MGP 435
— Data Wrangling
Develop practical skills to pre-process data. Tidied raw data can then be used for downstream data analysis, modeling, and visualization.
Prerequisites & course information
Course Description: Develop practical skills to pre-process data. Tidied raw data can then be used for downstream data analysis, modeling, and visualization. Learning Activities: Lecture 1 hour(s). Grade Mode: Letter. Learning Activities: Lecture 1 hour(s). Grade Mode: Letter.
Sources
- Course catalogue ↗2026-2027