Data Import in R with the Tidyverse

Getting data into a usable format is often the first and most challenging hurdle in any analysis project. Inconsistent files and scattered sources can stop you before you even start. This course provides a practical foundation for importing data into R using the modern Tidyverse ecosystem. You will move beyond simple CSV files and gain the skills to confidently read, parse, and prepare data from a wide variety of common formats, making it ready for successful analysis. What you'll learn: - Learn to import data from flat files like CSV and TSV using the `readr` package. - Practice reading data directly from single and multiple-sheet Excel workbooks. - Understand how to specify column types and troubleshoot common parsing issues. - Master the fundamentals of connecting to SQL databases to query data into R. - Apply techniques to fetch and parse structured data from web APIs. - Build robust data import workflows that handle messy and inconsistent data sources. The course begins with the foundational principles of data import and the structure of Tidyverse tibbles, then progresses through practical examples for each data source, from local files to databases and web services. This course is designed for beginners in R and the Tidyverse. No prior experience with data import is required; all you need is a basic familiarity with R syntax. Start the course today and learn the essential skills to begin any data project with confidence.