R Programming and Tidyverse for Data Analysis

Data analysis is a critical skill in the modern landscape, but manual workflows are often slow and difficult to replicate. This course provides a structured path to mastering R, a language built specifically for data, by focusing on the powerful Tidyverse ecosystem. You will learn how to turn raw data into clear, actionable insights using code that is readable and professional. By the end of this course, you will be able to handle complex datasets with confidence and build automated analysis pipelines that ensure your results are reproducible and accurate. What you'll learn: - Understand foundational R syntax, data types, and core programming structures - Apply Tidyverse verbs to clean, filter, and transform messy datasets into tidy formats - Create professional data visualizations using the grammar of graphics principles - Practice reproducible reporting by documenting your entire analysis workflow with RMarkdown - Master modern data import techniques for various file formats and structures - Learn functional programming patterns to write cleaner and more efficient code The course begins with essential terminology and basic concepts before moving into practical data manipulation and visualization techniques. You will progress from writing your first lines of code to constructing sophisticated data workflows through clear written explanations and code-based practice. This course is designed for absolute beginners with no prior programming experience, as well as those familiar with other tools who want to learn the modern R workflow. No previous knowledge of R or statistics is required. Start building your data analysis toolkit today with the industry-standard tools for R.