MATH 3392MULTIVARIATE ANALYSIS

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This course is an introduction to multivariate analysis in data science and shows how multivariate statistical techniques can be applied to analyze datasets with many variables. Topics may include data visualization, principal components analysis, multidimensional scaling, exploratory and confirmatory factor analyses, structural equation models, and analysis of repeated measures data. Prerequisites: MATH 3311 and 3320, or consent of the instructor.