Data Manipulation and Wrangling with dplyr

Raw data is rarely ready for analysis right out of the box, often requiring significant cleaning and restructuring before it can reveal its secrets. This course teaches you how to use dplyr, the essential R package, to navigate and transform data with speed and precision. You will learn to write clean, readable code that turns messy tables into structured insights. You will start by mastering foundational concepts and the core verbs of data manipulation, progressing from simple row filtering to complex grouped summaries. By the end of this text-based program, you will be able to handle diverse datasets and prepare them for high-quality visualization and reporting. What you'll learn: - Understand core data manipulation terminology and the tidyverse philosophy - Apply essential verbs like filter, select, and arrange to isolate specific data points - Create and modify variables using mutate to derive new insights - Summarize large datasets into meaningful statistics with group_by and summarize - Practice using the modern pipe operator to chain operations into readable workflows - Use advanced selection helpers and window functions for complex transformations - Prepare cleaned data structures for seamless visualization with ggplot2 The course begins with an introduction to data frames and the dplyr environment, followed by step-by-step written guides on transforming and aggregating data through practical exercises. It concludes with techniques for refining and renaming data to ensure your analysis is reproducible and professional. This course is designed for beginners who have a basic grasp of R and want to specialize in data wrangling. No prior experience with the tidyverse is required. Start building your data manipulation skills today.