R Programming and Tidyverse Fundamentals

Data is only as valuable as the insights you can extract from it, but getting started with programming can feel overwhelming. This text-based course guides you step-by-step through the core concepts of R, the leading language for statistical computing and data analysis. You will transition from an absolute beginner to a capable data analyst. By reading clear explanations and studying curated code snippets, you will learn how to set up your environment, manipulate datasets, and generate meaningful insights. What you'll learn: 1. Understand foundational R syntax, data types, and basic programming structures. 2. Import and clean raw datasets using modern Tidyverse packages like dplyr and tidyr. 3. Create clear data visualizations to communicate trends and patterns. 4. Manage project environments and dependencies effectively using renv. 5. Document and share your analysis using modern Quarto markdown files. 6. Practice writing clean, reproducible R code through structured written exercises. The course begins with essential terminology and setting up your RStudio workspace before advancing to data manipulation and visualization. You will progress naturally from basic calculations to structured data analysis workflows. This course is designed specifically for beginners with no prior programming or data science experience. Start reading today to build your foundation in R and unlock the power of data analysis.