Course

Factor Analysis

This course will enable learners to understand the necessity and areas of applications of linear statistical model techniques like Factor Analysis which is an integral part of the Exploratory Data Analysis.

6 Lessons
Outcomes

By the end of the course, learners will be able to:

  • Segregate important & influential underlying factors without using all observed variables
  • Implement KMO and Bartlett’s test to check the sampling adequacy
  • Interpret the results of Confirmatory Factor Analysis (CFA) and Exploratory Factor Analysis (EFA)

 

 Level: 02
Duration: 05 Hours
Pre-requisites: Machine Learning: Level 01
What’s next: Principal Component Analysis