R Programming for Data Science and Statistics

Data-driven decision making starts with mastering the right tools. R is the premier programming language designed specifically for statistical computing, data analysis, and visualization. This text-based course guides you from absolute beginner to confidently writing your own R scripts, importing datasets, and performing robust statistical analyses. You will learn to understand core R syntax, variables, data types, and vector operations. You will manipulate and clean datasets efficiently using modern tidyverse tools like dplyr. You will create clear, publication-quality data visualizations using ggplot2. You will apply fundamental statistical tests and interpret data distributions. You will write reproducible data reports using modern R Markdown and Quarto principles. You will structure clean, readable code with robust error handling and functions. Starting with foundational concepts and environment setup, you will progress through step-by-step written explanations and practical coding exercises that build your data manipulation and statistical modeling skills. This course is designed for beginners with no prior programming experience who want to build a solid foundation in data science. Start reading today to unlock the power of statistical programming with R.