Data Analysis in R with Tidyverse

Working with tabular data in R becomes clear and efficient when leveraging the tidyverse ecosystem. This course guides you through foundational concepts and practical techniques for modern data manipulation in R and RStudio. You will gain confidence writing clean R code, organizing messy datasets, and generating summary statistics using intuitive code pipelines. What you'll learn: - Understand core R terminology, basic data structures, and the RStudio environment - Apply pipe syntax to chain data operations into readable workflows - Filter, select, and mutate data frames using modern tidyverse functions - Reshape tabular data to build clean, structured datasets ready for analysis - Calculate summary statistics and aggregate metrics across variable groups - Practice modern R code conventions and standard data manipulation patterns You will begin with essential definitions and foundational data principles before moving into written explanations and annotated code snippets. This course is designed for beginner data analysts and anyone looking to learn structured data manipulation in R without prior programming experience. Start reading today to build practical data transformation skills in R.