Factor extraction using PCA in Excel, R, and Python.
This ’Factor Analysis’ online training course will help you understand Factor Analysis and its 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. Supplemental Materials included!
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!
Understand & Analyze Principal Components
Use Principal Components for dimensionality reduction and exploratory factor analysis
Apply PCA to explain the returns of a technology stock like Apple®
Build Regression Models with Principal Components in Excel, R, & Python
Chapter I: Introduction
Lesson I: You, This Course, & Us!
Chapter II: Factor Analysis & PCA
Lesson I: Factor Analysis & the Link to Regression
Lesson II: Factor Analysis & PCA
Chapter III: Basic Statistics Required for PCA
Lesson I: Mean & Variance
Lesson II: Covariance & Covariance Matrices
Lesson III: Covariance vs Correlation
Chapter IV: Diving into Principal Components Analysis
Lesson I: The Intuition Behind Principal Components
Lesson II: Finding Principal Components
Lesson III: Understanding the Results of PCA – Eigen Values
Lesson IV: Using Eigen Vectors to find Principal Components
Lesson II: PCA and Regression using Eigen Decomposition
Lesson III: PCA in R using packages
Chapter VII: PCA in Python
Lesson I: PCA & Regression in Python
1 hr 45 min
Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi, and Navdeep Singh have honed their tech expertise at Google and Flipkart. Together, they have created dozens of training courses and are excited to be sharing their content with eager students. The team believes it has distilled the instruction of complicated tech concepts into enjoyable, practical, and engaging courses.
Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft
Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too
Swetha: Early Flipkart employee, IIM Ahmedabad and IIT Madras alum
Navdeep: Longtime Flipkart employee too, and IIT Guwahati alum
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