Fundamentals of R Programming through Interactive Practice

R is the cornerstone of modern data analysis, but memorizing syntax is not enough to truly learn it. This text-based course bridges the gap between passive reading and active coding, helping you build a resilient foundation in R programming from scratch. You will transition from understanding basic syntax to confidently writing clean, reproducible data analysis code. Learn the core principles of the language, explore how to handle diverse data types, and practice modern data manipulation techniques using the popular tidyverse ecosystem. What you will learn: Understand fundamental R syntax, variables, and basic arithmetic operations; Master key data structures including vectors, matrices, data frames, and lists; Apply modern data manipulation techniques using tidyverse and dplyr; Write clean, logical control flows and custom functions for automation; Clean and prepare raw datasets for analytical workflows; Practice debugging common error messages and writing robust code. The course begins with essential programming terminology and foundational concepts before guiding you step-by-step through practical coding scenarios. This course is designed specifically for beginners with no prior programming experience or those looking to solidify their existing knowledge of R. Start your data journey today and build a strong foundation in R programming.