Excel Data Cleaning for Beginners

Inaccurate, duplicate, and poorly formatted data can lead to costly business decisions and hours of manual correction. This text-based course provides a systematic approach to transforming chaotic spreadsheets into pristine, analysis-ready datasets. You will start by understanding the core principles of data hygiene, learning how to spot common structural errors, and mastering foundational formulas. As you progress, you will explore modern automation techniques to handle repetitive cleaning tasks with ease. What you'll learn: Understand the foundational rules of data quality and how to spot structural spreadsheet errors; Clean and format messy text using essential formulas like TRIM, CLEAN, and proper text-merging functions; Standardize dates, handle missing values, and eliminate duplicate records efficiently; Leverage Power Query to automate complex data transformation and cleaning workflows; Restructure and unpivot tabular data to prepare it for seamless analysis and reporting. The course begins with essential data terminology and error identification, moving step-by-step through practical cleaning scenarios and modern automated tools. This course is designed specifically for beginners, spreadsheet users, and aspiring data analysts who want to save time and work with clean data, with no prior technical experience required. Start reading today to build cleaner, more reliable spreadsheets.