👋 Welcome to KishoreLytics! In this in-depth tutorial, we explore the power of **Window Aggregation Functions** in SQL — the advanced toolkit that helps you analyze datasets like a pro. Whether you want to build running totals, averages per partition, or count rows within a sliding window, this video will make it clear and practical. --- ✅ What You’ll Learn: - What makes window aggregation functions different from standard aggregates - How to use SUM(), AVG(), COUNT() with the OVER() clause - Using PARTITION BY & ORDER BY inside OVER() to control your window - Real examples: running totals, group-wise averages, cumulative counts - Frame clauses: ROWS vs RANGE, UNBOUNDED PRECEDING, CURRENT ROW - Best practices for performance and analytics queries --- 🎯 Who Should Watch: - SQL learners moving from basic queries to analytics - Data analysts, data engineers, and BI professionals - Students preparing for SQL interviews or real-world projects - Anyone who wants to **think analytically in SQL** rather than just memorize commands --- 💡 By the end of this video, you’ll be confident writing SQL queries that use window aggregation functions for deep insights — no confusion, just logic. 📺 Subscribe to @KishoreLytics for a complete SQL Crash Course, Python tutorials, and data-driven projects — all completely free. 💬 Drop your windows queries or doubts in the comments — I respond to all! --- 🔗 Useful Links: 🧠 Notes & SQL Scripts: 🌐 Portfolio: 💼 LinkedIn: --- 🔖 Hashtags: #SQLWindowFunctions #WindowAggregationSQL #LearnSQL #SQL2025 #KishoreLytics #SQLTutorial #SQLAnalytics #OVERClause #PartitionBySQL #SumOverClause #AvgOverClause #CountOverClause #DataAnalysisWithSQL #SQLInterviewPrep