DST 30003 DATA MINING

This course introduces the major quantitative models designed for competitive,  and system forecasting in today's complex  and increasingly large data-gathering business environment. The course is useful for multiple disciplines, including marketing, finance, and health care. Topics include statistical quality control, exponential smoothing, and seasonally adjusted trend analysis. Emphasis is placed on a general understanding of theory, mechanics, application potential, available software packages, and templates.  Prerequisite: MAT 20044 Introduction to Probability and Statistics or OAD 30763 Business Statistics.