<p>This course will introduce you to factor analysis and help you understand when and how it is used. It covers theory in an intuitive way while keeping the math at a minimum and is not restricted to the use of specific statistical software, so anyone interested in factor analysis will find it useful. </p><p>The course starts with a simple one-dimensional example to explain the concepts of reliability, loading, and eigenvalues. You’ll then get to grips with rotation, explore different rotation techniques, and understand how they differ from each other. As you advance through the course, you’ll work on a case study to see how the techniques are applied and what sort of logic is used in each step. You'll be taken through an extensive project on factor analysis, which will help you to find answers to any queries you may have throughout the process. </p><p>All the codes and supporting files for this course are available on - https://github.com/PacktPublishing/An-Introduction-to-Factor-Analysis</p>