MATH 408 - Advanced Data Analysis

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Description

Hours: Three hours lecture per week Prerequisite: MATH 398 Introduction to data management and analytics. Bayesian methods, multivariate data, multivariate normal distribution, multivariate regression, principal components, factor, canonical correlation, discriminant analyses, and clustering. Extensive use of appropriate statistical and programming software. Course will be taught in a computer lab.

Units: 3.00
Grading: Letter Grade

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Session Section Class # Type Days Time Location Instructor Course Details [Key]
1 01 1918 LEC MW  1:30 PM  -  2:45 PM  Bell Tower 1642 Isaac Quintanilla-Salinas Course Open Class Details In Person Class

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