R Programming Foundations: Data Manipulation and Analysis

Data is only as valuable as your ability to analyze and understand it. R is one of the most powerful and widely used programming languages designed specifically for statistical computing and data science. This text-based course guides you from absolute beginner to a confident data practitioner. You will start with core programming concepts and syntax before moving on to practical data transformation, summarization, and modern data manipulation workflows. By reading through clear explanations and analyzing structured code snippets, you will build a solid foundation for real-world data analysis. What you will learn: Understand foundational R syntax, data types, vectors, and basic programming structures; Import and read data from various file formats into R data structures; Clean and transform raw datasets using modern data frame manipulation techniques; Summarize complex datasets to extract meaningful statistical insights; Apply tidy data principles to structure your datasets for efficient analysis; Write clean, reproducible R code for data workflows. The course begins with essential terminology, basic data structures, and setup concepts before progressing to hands-on data manipulation and summarization techniques. You will learn through written explanations, conceptual breakdowns, and practical code examples. Designed entirely for beginners, this course requires no prior programming or statistical experience. Start your journey into data analysis and unlock the power of R today.