Data Analysis Techniques: Solve Business Problems with SQL and Spreadsheets

Raw data is only valuable when you know how to extract meaningful answers from it. This text-based course guides you through the essential processes of organizing, formatting, and analyzing data to solve real-world business challenges. You will transition from viewing raw tables to performing sophisticated calculations and structured queries. By mastering foundational spreadsheet functions and SQL operations, you will gain the ability to spot trends, validate your findings, and transform messy datasets into clear, actionable business insights. What you'll learn: - Understand foundational data analysis concepts and how to define key business questions. - Organize and format datasets using spreadsheet functions and sorting techniques. - Write SQL queries to filter, aggregate, and calculate complex business metrics. - Apply modern SQL techniques like Common Table Expressions (CTEs) to structure complex data analysis. - Perform calculations and data transformations to identify patterns and trends. - Validate data integrity to ensure your analysis is accurate and reliable. Starting with core analysis definitions, you will progress through structured written explanations and step-by-step SQL and spreadsheet scenarios. You will practice logical data structuring and query execution through comprehensive written exercises. This course is designed for aspiring data analysts and beginners who want to build practical data manipulation skills. No prior programming or database experience is required. Start learning how to turn raw numbers into clear business answers today.