Practice SQL Aggregation Patterns for Data Analysis

Data professionals spend a significant portion of their time summarizing raw data to uncover trends, but standard tutorials rarely teach you how to handle complex, real-world aggregation scenarios. This course bridges that gap by guiding you through the exact SQL patterns used to analyze business performance, logistics, and customer behavior. You will transition from writing basic queries to crafting sophisticated analytical scripts that answer critical business questions. By reading through clear explanations and working through practical written scenarios, you will build a robust mental model for structuring complex queries. You will learn how to organize messy data, calculate rolling metrics, and isolate key performance indicators with confidence. What you'll learn: - Understand foundational aggregation concepts including GROUP BY, HAVING, and standard summary functions - Calculate complex business metrics such as late delivery rates, sales performance brackets, and customer retention - Apply window functions to compute moving averages, running totals, and cumulative percentages - Write clean, modern SQL using Common Table Expressions (CTEs) to make complex aggregations readable and maintainable - Filter aggregated data efficiently to optimize query performance on large datasets The course begins with a solid grounding in core aggregation terminology and basic grouping mechanics. From there, you will progress through increasingly sophisticated patterns, exploring real-world case studies in retail sales, logistics tracking, and time-series analysis. This course is designed for beginner data analysts, business intelligence professionals, and database enthusiasts who already know basic SELECT statements and want to master data summarization. No advanced database experience is required. Start reading today to elevate your analytical skills and write professional-grade SQL queries.