Courses with significant overlap with this course:

Semester of last offering:

Date of approval: dd-mmm-yyyy

Prerequisites: 

Course Contents

The course is designed to train students on understanding research problems and situations requiring multivariate approaches, selecting appropriate multivariate techniques of data analysis, interpreting the results of analysis, and applying the techniques to business and research problems. The course includes topics dealing with multiple non interdependence techniques (such as Factor Analysis, Cluster Analysis, Multidimensional Scaling), multiple dependence techniques (such as Multiple Regression Analysis, Discriminate Analysis, Path analysis, Multivariate Analysis of Variance), and nonparametric techniques of data analysis.