Applied Statistical Analysis II: 3 semester hours

Catalog description

This course explores advanced analytical techniques for data mining, analysis, and inference, focusing on multivariate statistical analysis. It covers various topics, including multivariate data exploration, multiple regression analysis, principal component analysis (PCA), cluster analysis, data classification, and structural equation modeling (SEM). Students work with data analytics software, such as SAS, R, and KNIME, and advance their understanding of analytical methods for dissertation research.