Learn the fundamentals of Principal Component Analysis (PCA) in this comprehensive 22-minute video tutorial. Explore this powerful data analysis and machine learning method step-by-step, understanding its ability to identify patterns in complex datasets and determine the most important variables. Discover how PCA uses Singular Value Decomposition to simplify and explain data relationships. Follow along as the tutorial covers 2D and 3D data examples, finding principal components, calculating loading scores, creating PCA graphs, and interpreting scree plots. Gain insights into practical applications of PCA in R and learn how to determine the optimal number of principal components for your analysis.