Applied Multivariate Statistics and Data Mining   [Archived Catalog]
2018-2019 Graduate Studies Bulletin
   
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STAT 530 - Applied Multivariate Statistics and Data Mining

Credits: 3

Introduction to fundamentals of multivariate statistics and data mining. Principal components and factor analysis; multidimensional scaling and cluster analysis; MANOVA and discriminant analysis; decision trees; and support vector machines. Use of appropriate software.

Prerequisites: A grade of C or higher in STAT 515, STAT 205, STAT 509, STAT 512, ECON 436, MGSC 391, PSYC 228, or equivalent.



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