ISBA 360 Predictive Analytics (3 credits)

Hours: 3 classroom + 0 lab/studio
Prerequisite(s): ISBA 320 or ISBA 380
Taught: Spring only
Students are instructed on the development and use of predictive analytic models that support decision making and management. Students make use of contemporary predictive analytic software and scripting languages and are taught predictive algorithms such as linear and logistic regression, decision trees, random forests, k-centroids clustering, and naïve Bayes classification.
Repeatable: No