Data Preparation and Analysis with Excel

Raw business data is rarely ready for analysis right out of the box. Knowing how to efficiently clean, format, and structure your datasets in Excel is the foundation of any successful data-driven decision. This text-based course guides you from raw, messy spreadsheets to structured, analysis-ready data. You will master the foundational concepts of data organization and transition into building robust analysis models using modern spreadsheet techniques. What you'll learn: - Understand foundational data structures, data types, and spreadsheet design principles. - Clean and format messy datasets using essential text, date, and logical functions. - Apply modern Excel lookup formulas and dynamic arrays to merge and filter data. - Configure Power Query fundamentals to automate repetitive data cleaning steps. - Analyze prepared datasets using pivot tables and basic aggregation functions. You will begin with core definitions of data quality before moving step-by-step through practical cleaning workflows, formula construction, and data modeling. The course concludes with written exercises designed to test your ability to transform real-world business scenarios into structured insights. This course is designed for beginners, business professionals, and aspiring data analysts who want to build a strong foundation in spreadsheet data preparation without any prior experience. Start reading today to transform your raw data into actionable business intelligence.