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