Data Science Programming II

Catalog description

A continuation of Introduction to Data Science Programming I with Python. It covers more advanced programming concepts and techniques, including object-oriented programming, data structures, and algorithms, with an emphasis on data science applications. Prerequisite(s): AIST 2110 >= C or CSCI 1301 >= C or DASC 1301 >= C Lecture Hours: 3 Repeatability: May not be repeated for credit. Grade Mode: N- Normal (A, B, C, D, F) Schedule Type (Primary): Lecture Click here for the Schedule of Classes.