Predictive Analytics for Business Decision-Making    3 s.h

Catalog description

An applied course in predictive analytics designed for aspiring data analysts. Students develop hands-on skills in regression modeling, forecasting, and data-driven decision-making. The course emphasizes practical applications using AI-assisted coding techniques, focusing on model building, validation, interpretation, and communication of results to non-technical stakeholders. Topics include linear regression, logistic regression, model selection and validation, cross-validation, and handling common data issues. Prereq.: BUS 6930 and BUS 6932.