Applied Data Science

Catalog description

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.