Connect the Dots: Factor Analysis in Excel, Python and R

Factor extraction using PCA in Excel, R and Python

What's Inside

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 .

What's covered?

Principal Components Analysis

  • 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

Talk to us!

  • Mail us about anything - anything! - and we will always reply :-)

Course Curriculum

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Janani Ravi

Loonycorn is comprised of a couple of individuals —Janani Ravi and Vitthal Srinivasan—who have honed their tech expertises at Google and Stanford. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

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