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Nov 25, 2024
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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 & society.
Repeat for Credit
N
Requisites:
Prerequisites: CC 110, CC 210, and experience with the Python programming language.
Typically Offered
Fall, Spring, Summer
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