SQL ROW_NUMBER() Explained #9 | Window Functions Tutorial for Data Analysts

Learn SQL ROW_NUMBER() and Window Functions with real-world sales data in this practical SQL tutorial for Data Analysts. In this video, you'll learn how to use ROW_NUMBER() in SQL to assign sequential numbers to rows, rank transactions, and analyze data within groups using PARTITION BY. We will use the same sales dataset from the previous episodes, so you can follow the SQL learning journey step by step without switching to a new dataset. 🔥 WHAT YOU WILL LEARN: 00:00 Introduction & SQL Challenge 01:30 SQL Data Analyst Learning Roadmap 02:30 Understanding the Sales Dataset 04:00 The Problem We Want to Solve 05:30 What is ROW_NUMBER()? 07:00 Basic ROW_NUMBER() Syntax 08:30 ORDER BY vs ORDER BY inside OVER() 10:00 Ranking Transactions by Customer 11:30 Understanding PARTITION BY 13:00 ROW_NUMBER() + PARTITION BY 15:00 Real-World Data Analyst Use Cases 16:30 Finding the Largest Transaction per Customer 18:00 Finding the Top 3 Transactions per Customer 19:30 Ranking Transactions by City 21:00 SQL Challenge 22:30 Challenge Solution 24:00 Common ROW_NUMBER() Mistakes 25:00 ROW_NUMBER() vs RANK() vs DENSE_RANK() 26:00 Recap 27:00 Next Episode 📌 SQL TOPICS COVERED: • SQL ROW_NUMBER() • ROW_NUMBER() OVER() • SQL Window Functions • PARTITION BY • ORDER BY • SQL Ranking Functions • SQL for Data Analysts • Advanced SQL • SQL Data Analysis • SQL Sales Analysis • Real-World SQL Examples 💻 SQL EXAMPLE: ROW_NUMBER() OVER ( PARTITION BY customer_id ORDER BY total DESC ) This technique is extremely useful when you need to find the top transactions, first transaction, latest transaction, or rank records within each customer or group. 🎯 REAL-WORLD DATA ANALYST USE CASES: ✔ Find the largest transaction for each customer ✔ Find the top 3 transactions for each customer ✔ Rank transactions within each city ✔ Identify the first or latest transaction ✔ Analyze customer purchasing behavior ✔ Create ranking-based SQL analysis This tutorial is designed for beginners who want to move from basic SQL to intermediate SQL and develop practical SQL skills for Data Analyst jobs. 📚 SQL DATA ANALYST ROADMAP: SELECT ↓ WHERE ↓ ORDER BY ↓ COUNT / SUM / AVG ↓ GROUP BY ↓ HAVING ↓ JOIN ↓ SUBQUERY ↓ CTE ↓ ROW_NUMBER() ↓ RANK() & DENSE_RANK() ↓ LAG() & LEAD() ↓ Running Total ↓ Cohort Analysis ↓ Real-World SQL Data Analyst Project If you're learning SQL for Data Analytics, Business Intelligence, or a Data Analyst career, subscribe and follow the complete SQL learning series. 🔥 CHALLENGE: Can you find the TOP 2 largest transactions from each city using ROW_NUMBER()? Try writing the query yourself before watching the solution. Comment: "ROW_NUMBER SUCCESS!" 👍 If this tutorial helped you understand SQL Window Functions, like the video and share it with someone who is learning SQL. 🔔 Subscribe for more SQL, Data Analytics, Excel, Python, and Data Analyst tutorials. #SQL #DataAnalyst #SQLTutorial #SQL #DataAnalyst #SQLTutorial #SQLWindowFunctions #ROWNUMBER #DataAnalytics #MySQL