Excel Data Preparation for Business Analysis

Raw data is rarely ready for analysis, often containing duplicates, formatting errors, and missing values. Knowing how to systematically clean and organize this information in Excel is the critical first step for any successful data analyst or business professional. In this course, you will transition from handling chaotic spreadsheets to structuring pristine datasets ready for reporting. You will master the foundational concepts of data hygiene, learn how to troubleshoot common data entry errors, and build a reliable workflow for transforming raw inputs into actionable business insights. What you'll learn: - Understand foundational data quality concepts and identify common formatting errors - Apply essential text and logical functions to clean and standardize messy entries - Utilize modern dynamic array formulas to filter and sort datasets dynamically - Configure Power Query basics to automate repetitive data cleaning steps - Resolve missing values, eliminate duplicates, and restructure unorganized tables - Prepare polished, structured datasets that are ready for advanced analysis and reporting The course begins with the core terminology of data quality before guiding you through practical written exercises using standard formulas, modern dynamic arrays, and automated cleaning tools. This course is designed for beginners who want to build a strong foundation in data preparation using Excel, requiring no prior experience with data analysis. Start reading today to build cleaner, more reliable spreadsheets.