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