Introduction to Programming with R for Data Analysis

R is one of the most powerful and widely used programming languages for data science, statistical computing, and academic research. If you want to work with data but have zero programming experience, learning R is the perfect place to start. This course guides you from absolute beginner to confident programmer through clear, written explanations and structured coding exercises. You will begin by understanding the foundational syntax of R, setting up your environment, and working with basic data types. From there, you will progress to modern data manipulation workflows, functional programming, and data visualization techniques. What you'll learn: Understand core programming concepts like variables, loops, conditionals, and functions in R; Clean and tidy messy datasets using modern Tidyverse packages; Write custom functions and apply functional programming principles for efficient data workflows; Create clear, publication-ready statistical graphics; Handle errors gracefully and write basic unit tests to ensure code reliability. The course starts with essential terminology and fundamental syntax, ensuring you build a solid foundation before moving on to real-world data analysis scenarios. This course is designed specifically for beginners with no prior coding or statistical experience. Start your journey into data programming today and gain the practical skills to analyze data confidently.