BAN317 Data Analytics, Machine Learning, and Business Forecasting

This course introduces business forecasting with applied machine learning. Students prepare data, build and compare predictive models, and communicate results for managerial decisions. Topics include naïve baselines, simple and multiple regression, classification models, ensemble methods, correlation diagnostics, and optimization-informed decisions. Text mining is used to extract signals from unstructured data. Students practice validation and error measurement (e.g., MAD, MAPE, WAPE), compare manual workflows with automation tools, and document model assumptions and limitations. Emphasis is on responsible use of introductory machine learning in business contexts.

Prerequisite BUS121