Course catalog
Intermediate Data Analytics

Students will learn to program in R & Python, engage in exploratory data analysis techniques, data visualization, and the basics of data wrangling (data cleaning) along with foundational data modeling techniques. Prerequisites: DATA 101, CSCI 110, and MATH 221 or 228.

Grade Basis:

Letter Grade

Credits:

4.0

Core Curriculum Designation:

Not Applicable