DSC 302 - Foundations of Data Science
Foundational topics in the field of Data Science Topics to include data cleaning, Structured Query Language (SQL), data manipulation, visualizations, elementary classification, and machine learning.
Credit Hours: 3
Prerequisite Courses: MAT 151 or MAT 161 .
Course Repeatablility: Course may not be repeated. Maximum Repeatable Hours: 3
Click here for the Spring 2020 Class Schedule.