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Principal Component Analysis (PCA) and Factor Analysis
Analytics / Machine Learning / Dimensionality Reduction : PCA & Factor Analysis using SAS and R program
This Course Includes
udemy
4.3 (250 reviews )
1h 40m 
english
Online - Self Paced
professional certificate
Udemy
About Principal Component Analysis (PCA) and Factor Analysis
The course explains one of the important aspect of machine learning - Principal component analysis and factor analysis in a very easy to understand manner. It explains theory as well as demonstrates how to use SAS and R for the purpose. The course provides entire course content available to download in PDF format, data set and code files. The detail course content is as follows.
Intuitive Understanding of PCA 2D Case 1. what is the variance in the data in different dimensions? 2. what is principal component?
Formal definition of PCs 1. Understand the formal definition of PCA
Properties of Principal Components 1. Understanding principal component analysis (PCA) definition using a 3D image
Properties of Principal Components 1. Summarize PCA concepts 2. Understand why first eigen value is bigger than second, second is bigger than third and so on
Data Treatment for conducting PCA 1. How to treat ordinal variables? 2. How to treat numeric variables?
Conduct PCA using SAS: Understand 1. Correlation Matrix 2. Eigen value table 3. Scree plot 4. How many pricipal components one should keep? 5. How is principal components getting derived?
Conduct PCA using R
Introduction to Factor Analysis 1. Introduction to factor analysis 2. Factor analysis vs PCA side by side
Factor Analysis Using R
Factor Analysis Using SAS
Theory for using PCA for Variable Selection
Demo of using PCA for Variable Selection
What You Will Learn?
- Understand Principal Component Analysis and Factor Anallysis in crysal clear manner .
- Will know how to coduct principal component analysis and factor analysis using SAS / R .
- Will understand, how PCA helps in dimensionality reduction .
- Will understand the difference and similarity between PCA and factor analysis .
- Students will be able to use PCA for variable selection.