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Connect the Dots: Factor Analysis in Excel, Python and R
Introduction
You, This Course and Us
Factor Analysis and PCA
Factor Analysis and the Link to Regression
Factor Analysis and PCA
Basic Statistics Required for PCA
Mean and Variance
Covariance and Covariance Matrices
Covariance vs Correlation
Diving into Principal Components Analysis
The Intuition Behind Principal Components
Finding Principal Components
Understanding the Results of PCA - Eigen Values
Using Eigen Vectors to find Principal Components
When not to use PCA
PCA in Excel
Setting up the data
Computing Correlation and Covariance Matrices
PCA using Excel and VBA
PCA and Regression
PCA in R
Setting up the data
PCA and Regression using Eigen Decomposition
PCA in R using packages
PCA in Python
PCA and Regression in Python
Covariance vs Correlation
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