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Dec 06, 2025
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CC 535 - Applied Data Science Credits: 3
An introduction to data science and discovery from data: Data wrangling, feature engineering, feature selection, statistical inference, correlations, principal component analysis, classification, regression, novelty detection, clustering, cross-validation, bootstrapping, class profiling, multidimensional scaling, association rules, visualization, data science and society.
Repeat for Credit
N
Requisites:
Prerequisite: CC 210, and experience with the Python programming language. Students may enroll in CC courses only if they have earned a grade of C or better for each prerequisite to those courses.
Typically Offered
Fall
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