SQL Window Functions: Ranking, Aggregations, and LAG

Are you ready to move beyond basic SQL queries and harness the true analytical power of your database? Window functions are essential tools for modern data analysis, allowing you to perform calculations across a set of related rows without collapsing the result set. This course provides a clear, practice-driven path to mastering these high-impact SQL features. By the end of this course, you will be able to construct sophisticated analytical queries that deliver deep business insights, transforming raw transactional data into meaningful metrics for reporting and decision-making. What you'll learn: * Understand the core structure of SQL window functions, including partitioning, ordering, and framing clauses. * Master ranking functions (RANK, DENSE_RANK, ROW_NUMBER) to segment data and identify top performers or outliers. * Apply cumulative and running aggregation techniques for calculating running totals, moving averages, and period-to-date summaries. * Implement LAG and LEAD functions to easily compare current row values with previous or subsequent rows for delta calculations. * Practice optimizing analytical queries and understanding performance considerations when working with large partitioned datasets. * Apply these techniques to solve complex, real-world business problems drawn from delivery logistics, marketplace analytics, and fintech reporting. The course begins by establishing a strong foundation in analytical SQL syntax, followed by detailed explanations and practical exercises demonstrating how to use different function types for specific business needs. This is the perfect course for SQL beginners who want to elevate their data analysis capabilities quickly. Start reading and unlock the analytical power of SQL today.