Connect the Dots: Factor Analysis [Video]

More Information
Learn
  • Use Principal Components Analysis to Extract Factors
  • Build Regression Models with Principal Components in Excel, R, Python
About

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.

Style and Approach

A less than two- hour course which helps you understand Factor Analysis and it's link to linear regression.

Features
  • Understanding principal components
  • Eigen values and Eigen vectors
  • Eigenvalue decomposition
  • Using principal components for dimensionality reduction and exploratory factor analysis.
  • Implementing PCA in Excel, R and Python
  • Apply PCA to explain the returns of a technology stock like Apple
  • Find the principal components and use them to build a regression model
Course Length 1 hour 43 minutes
ISBN 9781788997522
Date Of Publication 7 Dec 2017

Authors

Loonycorn

Loonycorn is Janani Ravi and Vitthal Srinivasan. Between them, they have studied at Stanford, been admitted to IIM Ahmedabad, and have spent years working in tech, in the Bay Area, New York, Singapore and Bangalore. Janani spent 7 years at Google (New York, Singapore); Studied at Stanford and also worked at Flipkart and Microsoft. Vitthal also worked at Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too. They think they might have hit upon a neat way of teaching complicated tech courses in a funny, practical, engaging way, which is why they are so excited to be here. They hope you will try their offerings, and you'll like them.