Hands on dplyr tutorial for faster data manipulation in R

Data manipulation in R, in this course we will learn about essential techniques for transforming and preparing data using R, with a strong focus on the powerful dplyr package. You will explore how to filter rows, select specific columns, create new variables, arrange data, and summarize results in a clear and efficient manner. The course will cover the use of piping (%>%) to chain operations and create readable, efficient code for data workflows. You'll also learn how to group data for aggregation, handle missing values, and clean large datasets for analysis. Whether you're working with survey data, financial data, or scientific datasets, mastering data manipulation in R is crucial for making accurate and insightful analyses. By the end of the course, you will be able to transform raw data into clean, structured, and meaningful information ready for visualization or statistical modeling. No advanced R experience is required—just basic knowledge of the language. Data School