CTP 260 - Python for Data Science

3 credit hours - Two hours of lecture and two hours of laboratory weekly; one term.
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(s): CTP 160 and MAT 135 ; or permission of academic chair.

Course Outcomes:

Import and use data for analysis and visualization
Perform data analysis and visualization using Python libraries.
Demonstrate version and source control.
Present data using presentation tools.