BBA 420 Data Mining

This introductory course in data mining will explore various statistical approaches to extract hidden knowledge from large data sets, enabling the analyst to discover complex relationships in data that might otherwise go undetected using manual analytics methodologies. The associated tasks of acquiring data from an enterprise data warehouse and preparing it for analysis, and the documentation of results will also be covered. Topics include building predictive models; exposure to logistic regression; machine learning and decision tree methods; and understanding lift factors and ROC curves. Hands-on use of mining software, business case studies, and a small data mining project will be used to reinforce the concepts.