BBA 420 Data Mining
This introductory course to data mining will explore various statistical approaches used for data mining analyses. The preparation of data suitable for analysis from an enterprise data warehouses using SQL and the documentation of results is also covered. Building predictive analytics (e.g., SEMMA, KDD); exposure to logistic regression, machine learning and decision tree methods; Understanding lift factors, ROC curves; hands-on use of mining software; business case studies. A simple data mining analysis project using SPSS will be used to reinforce the concepts.