Catalogue 2019 - 2020

BIS 450 Multivariate & Big Data Analysis

Credits

3 cr.

Prerequisite

BIS 221 and BIS 230

Course Description

This course introduces students to a set of techniques, tools, and models designed to analyze data sets with more than one variable. Student will be able to analyze both categorical and quantitative data sets with multiple factors to predict outcomes based on prior information.

Some multivariate analyses methods employed in this course include Analysis of Covariance (ANCOVA), Multivariate Analysis of Variance (MANOVA); Discriminant Function Analysis (DFA), Multiple Regression (MR), Principal Components/Factor Analysis (PCA/FA), and Reliability and internal consistency Analysis.

Notes

This course is a prerequisite.

Distribution

MR

Fee