R Programming for Data Science and Analysis

Data is only as valuable as the insights you can extract from it. R is one of the most powerful and widely used programming languages designed specifically for data analysis, statistical computing, and visualization. This text-based course guides you from absolute beginner to confident data analyst. You will learn how to write clean R code, work with modern data structures, and use industry-standard libraries to turn raw data into actionable insights. What you'll learn: Understand fundamental R syntax, data types, vectors, and matrices; Import and clean messy datasets using modern Tidyverse tools like dplyr and tidyr; Create clear and informative data visualizations with the ggplot2 library; Apply basic statistical analysis techniques to uncover trends and patterns; Manage data frames and modern tibbles efficiently for everyday analysis; Write reusable functions and control flow structures to automate data tasks. The course begins with foundational R concepts and terminology before advancing to practical data manipulation, visualization, and exploratory analysis techniques. It is designed for beginners with no prior programming or statistical background who want to start their journey in data science. Start reading today to build a strong foundation in modern R programming.