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Popular SearchesCourse 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
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