COSC 636 - Data Science II

3 Credits (Fall only)
Prerequisite(s): Prerequisite: COSC 536. This course offers advanced modeling and analysis techniques to conduct a data analysis using an analytical programming language that include probability, distributions, and sampling; statistical testing for data science; feature selection, feature engineering, and dimensional reduction; machine learning for classification; evaluating ML classification models and sampling for classification; regression technique; model optimization; tree-based models; support vector machine; clustering with machine learning; text-based model building and validation; and data storytelling, automated reporting, and dashboarding.