Data Analysis in R with RStudio and Tidyverse

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 fundamentals of data analysis using R, one of the most powerful languages for statistical computing. You will transition from an absolute beginner to a confident data analyst capable of handling real-world datasets. By reading clear explanations, studying structured code examples, and completing written practice exercises, you will learn how to manipulate data, perform statistical analyses, and generate clean, reproducible reports. What you'll learn: 1. Understand foundational R syntax, basic data types, and the RStudio environment. 2. Import and wrangle messy datasets using core Tidyverse packages like dplyr and tidyr. 3. Apply descriptive statistics and run statistical tests to compare populations. 4. Create clear, informative data visualizations using ggplot2. 5. Practice modern reproducible reporting workflows using Quarto and native pipe operators. The course begins with essential terminology and setting up your mental model of R programming. You will then progress through importing data, cleaning and transforming it, conducting statistical analyses, and finally presenting your findings. This course is designed specifically for beginners with no prior coding or statistical experience. Start your journey into data science and unlock the power of R today.