AI 361 - Data Science and Visualization

3 Credit Hours

This course introduces the tools and methods of data science, emphasizing exploratory data analysis and data visualization. Students learn to acquire, clean, and transform datasets for analysis using Python libraries. The course develops skills in data storytelling and visual analytics to support data-driven decision-making.
Prerequisite: A “C” or better in:

CS 231 - Computer Programming II

AND MAT 337 - Probability and Statistics

Lecture Hours: 3
Term(s) Offered: Fall