Applied Statistical Modeling

Catalog description

This course introduces students to statistical modeling and inference techniques for analyzing relationships between variables and making data-informed decisions. Topics include sampling distributions, regression, classification, predictive analytics, and model evaluation. Students will gain hands-on experience applying these methods to real-world data using statistical software or coding tools.