Machine Learning – Factor Analysis

Factor analysis helps to cut through the clutter when you have a lot of correlated variables to explain a single effect. In this course, you will follow along with expert instructors to learn about topics such as Mean & Variance, Eigen Vectors, Covariance Matrices, and so much more!

This course consists of the following modules:

• Introduction
• Factor Analysis & PCA
• Basic Statistics Required for PCA
• Diving into Principal Components Analysis
• PCA in Excel
• PCA in R
• PCA in Python

Course Duration

From the day you purchase the course, you will have 12 months access to the online study platform. As the course is self-paced you can decide how fast or slow the training goes, and are able to complete the course in stages, revisiting the training at any time.

Method of Assessment

At the end of each module, you will have one assignment to be submitted (you need a mark of 65% to pass) and you can submit the assignment at any time. You will only need to pay £19 for assessment and certification when you submit the assignment. You will receive the results within 72 hours of submittal, and will be sent a certificate in 7-14 days if you have successfully passed.

Certification

Successful candidates will be awarded a certificate for Machine Learning – Factor Analysis.