Importing and Reading Excel Data in R with Tidyverse

Raw data often lives in messy spreadsheet formats, making it difficult to perform reproducible analysis. This written course shows you how to programmatically import Excel files into R, converting disorganized spreadsheets into clean, analysis-ready data frames. You will learn to bypass manual data cleaning and build automated pipelines that handle real-world spreadsheet challenges with ease. What you'll learn: Understand core spreadsheet structures and how R interfaces with Excel formats; Import specific sheets, cell ranges, and custom data types using the readxl package; Automate the loading and merging of multiple sheets simultaneously using purrr map functions; Handle missing values, empty rows, and formatting anomalies during the import phase; Apply tidy data principles to restructure imported spreadsheets for immediate analysis. Starting with essential spreadsheet terminology and R package setups, you will progress through step-by-step written tutorials that cover everything from basic single-sheet imports to advanced multi-sheet automation. This course is designed for beginners who have a basic familiarity with R and want to master data ingestion without manual intervention. Start reading today to streamline your data science workflow and automate your spreadsheet import process.