Practical Data Analysis with R and RStudio

Data is everywhere, but extracting meaningful insights from it requires the right tools and mindset. If you want to move beyond basic spreadsheet limitations and start programming your data analyses, learning R and RStudio is the perfect place to begin. This text-based course guides you from absolute beginner to confidently performing your own data analyses. You will learn how to set up your environment, write clean R code, and apply modern data science workflows to real-world datasets. What you'll learn: 1. Understand fundamental data analysis concepts, key terminology, and the RStudio interface. 2. Import and clean messy datasets using modern tidyverse packages. 3. Manipulate and transform data efficiently using dplyr and the native pipe operator. 4. Create clear and informative data visualizations to communicate your findings. 5. Apply basic statistical summaries to describe and understand your data. 6. Structure your analysis projects professionally for reproducibility and collaboration. You will start with foundational concepts and essential R syntax before moving into hands-on data manipulation and visualization techniques. Through clear explanations and written code examples, you will build a solid workflow for any data project. This course is designed for beginners with no prior programming experience or data analysis background. Start reading today and take your first steps toward becoming a proficient data analyst with R.