Coding with R and AI for Data Analysis

Mastering R programming is an essential step for effective data analysis, and integrating modern AI assistants can dramatically accelerate how quickly you write and troubleshoot code. This text-based course guides you through foundational R syntax while teaching you how to use AI tools responsibly to inspect data, fix errors, and generate efficient analytical scripts. You will build a strong foundation in core programming concepts and discover how to combine traditional coding practices with AI-assisted problem-solving. Through structured explanations and clear code examples, you will gain practical confidence in processing and exploring real-world datasets. What you'll learn: - Understand foundational R syntax, data structures, and core programming logic - Apply modern tidyverse principles to clean, transform, and organize raw data - Leverage AI prompt techniques to generate, refine, and document R scripts - Debug syntax and runtime errors effectively using modern troubleshooting strategies - Create structured data summaries and reproducible analysis workflows - Practice reading and writing clean, maintainable R code with assisted AI guidance The course begins with core terminology, data types, and fundamental concepts before progressing to data manipulation and AI-augmented coding techniques. This course is tailored for beginners, aspiring data analysts, and researchers with no prior programming experience required. Begin reading today to develop your R programming skills and modernize your data workflow with AI.