For those looking to categorize data without pre-defined labels, R offers robust unsupervised learning tools. The Complete Guide to R often couples these modeling techniques with visualization to make results interpretable.
Moving beyond basic data visualization and wrangling is the hallmark of an intermediate data scientist. The LinkedIn Learning course , led by Barton Poulson, PhD, provides the necessary roadmap to transition from describing what has happened to predicting what will happen. linkedin r essential training part 2: modeling data
Before building complex models, learners use R to compute frequencies, descriptive statistics, and correlations . It also covers advanced techniques like Principal Component Analysis (PCA) and confirmatory factor analysis to understand data structures. For those looking to categorize data without pre-defined