A comprehensive beginner-to-advanced course on R programming for data analysis. Covers all core topics including data types, data structures, control flow, functions, data cleaning with tidyverse, exploratory data analysis, data visualization with ggplot2, statistical testing, linear regression, and an introduction to machine learning. Each concept is explained with theory, real-world importance, and working R code examples. Includes a full end-to-end capstone project using the mtcars dataset.