Learn Factor extraction using PCA in Excel, R, and Python! This 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. Factor analysis helps to cut through the clutter when you have a lot of correlated variables to explain a single effect. Follow along with expert instructors to learn about topics such as Mean and Variance, Eigen Vectors, Covariance Matrices, and so much more! Supplemental Materials included.