Python and Data Science I

Catalog description

This course explores how Python, one of the most popular programming languages today, is applied in data analysis, image processing, machine learning, and parallelism. As a lab-based course, it emphasizes significant time spent programming. Topics include handling data structures such as Python lists, NumPy arrays, and Pandas DataFrames. The course also focuses on functions, flow control, and building on data visualization concepts introduced in DATS225 – Data Visualization. (Prerequisite: DATS281)