Students will learn to program in R and 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 MATH 228.
Grade Basis: Letter Grade
Credits: 4.0
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