/ Students will learn advanced data wrangling techniques to acquire, clean, and explore data using programming techniques along with other advanced analytics methodologies. Topics may include but are not limited to data mining, cleaning, validation, transformation as well as machine learning, cluster analysis, principal component analysis, gradient analysis, and singular value decomposition. Prerequisites: DATA 202, CSCI 205, MATH 203.
Grade Basis: Letter Grade
Credits: 4.0
Prerequisites:
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