Discovery With Data Mining

Catalog description

P: BUS 30102 with grade of C- or better, and junior or senior class standing. Explore the world of predictive analytics in this course! Learn key techniques like principal component analysis, classification and regression trees, clustering, logistic and linear regression, and model evaluation; uncover patterns in data to anticipate future trends and make informed decisions; and gain hands-on experience using graphical interface software to apply these skills to real-world data. Cap off the semester with a group project, applying your newfound expertise to a practical scenario.