Factor analysis helps to cut through the clutter when you have a lot of correlated variables to explain a single effect.
This course will help you understand Factor analysis and it’s link to linear regression. See how Principal Components Analysis is a cookie cutter technique to solve factor extraction and how it relates to Machine learning .
Principal Components Analysis
Implementing PCA in Excel, R and Python
You can write basic computer programs comfortably without much assistance and also be familiar with the basic concepts of computer programming.
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