CITC 2350 - Python for Data Analytics

3 Credits
2 Class Hours, 2 Lab Hours

This course introduces students to the analysis of data using Python and requires a basic understanding of Python as a prerequisite. Students will learn how to obtain, cleanse, and prepare data for analysis. Data analytic and statistical tools will be used to visualize data, predict outcomes, and categorize data. Topics include NumPy to perform statistical calculations, Data manipulation with Pandas, Matplotlib, Hypothesis Testing, and basic concepts of R. Prerequisite(s): CITC 1370 and CITC 2340, both with minimum grades of “C”

Semester Availability: Fall, Spring

Not part of a Tennessee Transfer Pathway