Data Analysis with R: A Practical Guide to Tidy Data

Data is only as valuable as the insights you can extract from it, and R is one of the most powerful languages built specifically for that task. In this text-based course, you will transition from a complete beginner to a confident data analyst capable of writing clean, reproducible R code. You will learn to manipulate datasets, perform statistical summaries, and generate professional-grade visualizations to tell compelling stories with your data. What you'll learn: First, understand fundamental R programming concepts, including variables, data types, vectors, and data frames. Second, clean and transform messy datasets using modern tidyverse packages like dplyr and tidyr. Third, create clear, impactful data visualizations using ggplot2 to highlight key trends and patterns. Fourth, apply tidy data principles to structure your datasets for efficient analysis. Fifth, document and share your analysis workflow using modern reproducible reporting tools like Quarto. Sixth, practice writing and debugging R code through structured, step-by-step written exercises. The course begins with foundational R syntax and programming basics before moving into data manipulation, visualization, and reproducible reporting workflows. This course is designed entirely for beginners with no prior programming or data analysis experience. Start reading today to unlock the power of R and elevate your data analysis skills.