Data Wrangling and Visualization in R with Tidyverse

Modern data analysis in R relies heavily on the Tidyverse, a collection of cohesive packages designed to make data manipulation and visualization efficient and intuitive. If you want to streamline your data workflow and write cleaner, more readable R code, mastering these foundational tools is essential. This text-based course guides you step-by-step through core Tidyverse concepts and practical techniques. You will build a solid understanding of foundational data structures, learn essential data transformation workflows, create clear plots, and construct reusable functions to automate repetitive analytical tasks. What you'll learn: - Understand core Tidyverse terminology, package structures, and syntax conventions. - Clean, reshape, and filter tabular datasets using modern data manipulation patterns. - Visualize data distributions and trends effectively using structured plotting principles. - Apply readable pipe operators to write seamless, sequential data processing pipelines. - Construct custom functions to automate multi-step data tasks. - Handle missing values and convert unstructured tables into tidy data formats. The course begins with foundational definitions and key concepts before progressing into practical text explanations and code examples. You will build your skills step-by-step through hands-on reading and structured written exercises. This course is created for beginners and R users who want to transition to modern data workflows. No prior familiarity with Tidyverse packages is required. Start reading today to refine your data analysis skills in R.