Introduction to R Programming for Data Analysis

Data analysts and researchers need robust tools to handle complex datasets, perform statistical calculations, and generate clear visualizations. This text-based course guides you from absolute beginner to a confident user of R, the premier open-source language for statistical computing. You will transition from writing simple commands to developing structured data analysis workflows. By reading through practical explanations and working through structured exercises, you will learn to manipulate data, generate statistical summaries, and create professional plots. What you'll learn: Understand foundational R syntax, data types, variables, and essential programming structures; Import and clean raw datasets using modern packages like readr and dplyr; Perform exploratory data analysis and calculate key statistical metrics; Create clear, publication-quality data visualizations using ggplot2; Write reusable functions and organize your analysis into reproducible workflows. The course begins with fundamental concepts, core terminology, and setting up your R environment. You will then progress step-by-step through data manipulation, statistical analysis, and data visualization techniques. This course is designed for absolute beginners, data analysts, and researchers with no prior programming experience. Start your journey into statistical programming and unlock the power of R for your data projects today.