CTP-260 Python for Data Science

Learn scientific computing and data analysis techniques to analyze and visualize data using Python libraries. Apply common descriptive statistics including finding the mean, median, mode and standard deviation to data sets. Plot and graph data sets using Python libraries. Emphasize style, documentation, solution robustness, and conformance with specifications throughout coursework. Prerequisite: CTP 160 and MAT 135 or permission of academic chair.

Term: Spring 2026

Course Type: Credit - 3 Credits

Section: 200

Ways to take the class: Online

Start Date: 03/23/2026

End Date: 05/17/2026

Location: Online

Room: TBA

Instructor: Michael J Kelley (Subject to change)

Class Size: 25