Data Analysis with R and the Tidyverse

Data analysis is a critical skill in the modern landscape, but getting started with programming can often feel overwhelming. R provides a specialized environment for statistics and data science, and the Tidyverse collection of packages makes that environment intuitive, readable, and incredibly powerful. This course guides you through the essential workflow of a data analyst, from your first lines of code to performing meaningful exploratory analysis. You will learn to think about information through the lens of tidy data principles, allowing you to clean messy datasets and communicate your findings through professional-grade visualizations. By the end of this text-based program, you will be able to turn raw data into actionable insights using modern coding standards. What you'll learn: - Understand the core philosophy of tidy data and the Tidyverse ecosystem - Manipulate datasets using dplyr to filter, sort, and create new variables - Summarize complex data into meaningful statistics and grouped insights - Create diverse visualizations including scatter plots, line graphs, and histograms with ggplot2 - Apply the modern pipe operator to chain operations for readable and efficient code - Practice exploratory data analysis to uncover trends and patterns in real-world information The course begins with foundational R syntax and the structure of Tidyverse packages before moving into practical data transformation and visualization techniques. You will work through written explanations and code examples designed to build your confidence step-by-step. This course is designed for absolute beginners; no prior programming or R experience is required. Start your journey into data science today.