DATA 0250
Applied Statistics in Python
Brown University · UGRD · Fall 2026
Catalog description
As more students engage in data science there is a need to provide guidance on conducting basic statistical analysis in Python. This course will provide a non-specialist approach to applied statistics, specifically linear models Python. Students will learn how to conduct linear modules using the Statsmodels package in Python. Students should have good working knowledge of descriptive statistics (equivalent to a high school AP level). Python coding experience is helpful but not required. Student learning would be assessed through hands-on Python coding activities and written interpretation of statistical reports. Students from the humanities and social sciences are particularly encouraged to enroll in this course. Pre-req- Basic High School A.P. knowledge of statistics.
Sections
Current meeting, instructor, credit, and enrollment details
001
Availability not recently verified- Days & times
- No scheduled meeting time
- Meeting dates
- —
- Location
- —
- Instructor
- Staff