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👋 Welcome back to Kishorelytics! In this video, we’ll demystify one of the most powerful and advanced SQL concepts — Window Functions. If you’ve ever wondered how to calculate running totals, rankings, or averages without using GROUP BY — this is the video for you! We’ll start with the *syntax* of the Window Function and build the logic step-by-step using real-world examples. --- ✅ What You’ll Learn: What are Window Functions in SQL Syntax of the OVER() clause How PARTITION BY and ORDER BY work inside Window Functions Understanding frame clauses and their purpose Difference between Aggregate and Window Functions Real-world examples using SUM(), RANK(), DENSE_RANK(), and ROW_NUMBER() --- 🎯 Who Should Watch: SQL Beginners learning advanced concepts Data Analysts & Engineers preparing for interviews Developers who want to write analytical queries Anyone looking to understand OVER() once and for all --- 💡 After this video, you’ll understand the syntax of SQL Window Functions clearly and be ready to use them in analytics and reporting projects. 📺 Subscribe to @KishoreLytics for the complete SQL Crash Course, Python tutorials, and Data Projects — all 100% free! 💬 Drop your questions in the comments — I reply to everyone! --- 🔗 Useful Links: 🧠 Notes & SQL Scripts: https://github.com/Kishorelytics/Sql-... 🌐 Portfolio: https://kishorelytics.netlify.app 💼 LinkedIn: / kishore-kannan-n- 🎓 Practice SQL Free on Our LMS Portal: https://lms-kishorelytics.vercel.app/ --- 🔖 Hashtags: #SQLWindowFunctions #SQLCrashCourse #LearnSQL #SQL2025 #SQLForBeginners #KishoreLytics #SQLTutorial #SQLOverClause #PartitionBy #OrderBySQL #DataAnalytics #DatabaseTutorial #SQLInterviewPrep #RankFunctions #SQLQueries