Multivariate Analysis
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Overview
Description
Provides an introduction of the analysis of multivariate data, balancing theory, implementation and translation of these methods. Topics covered include matrix computations, visualization techniques, the multivariate normal distribution, MANOVA, principal components analysis, factor analysis, and other clustering techniques.
Career
Graduate
Credits
Value
0
Max
3
Min
3
Number Of Credits
0
Number Of Repeats
0
Repeatable
No
Code
51bbe6179817013c1b96f8fc9321c0b8
Instructor Contact Hours
0
Instruction Mode
Lecture
Optional Component
No
Workload Hours
100