Data Mining Applications offers the student an introduction to data mining and data warehousing concepts with emphasis placed on formulating and leveraging the de-normalized "star schema" data warehouse design. The statistical techniques behind the wide variety of data mining tools available are analyzed and applied. Students are introduced to the analytical principles and processes involved in data mining. Various software packages, such as XLMiner, NodeXL, and MS-Excel are used with case problems to give the student hands-on experience.

Prerequisite: ASCI2010 or STAT2110