Скачать или смотреть SQL Window Functions Explained | Ranking, Partition, and Analytics

we dive deep into SQL Window Functions – one of the most powerful tools in SQL for performing advanced calculations across sets of rows. 🚀

You’ll learn how to use window functions to analyze data without writing complex subqueries or joins. Perfect for anyone preparing for data analytics, data science, or SQL interviews!

🔑 What you’ll learn:
✔️ What are SQL Window Functions?
✔️ Difference between Aggregate & Window Functions
✔️ Using OVER() with PARTITION BY and ORDER BY
✔️ Common Window Functions:

ROW_NUMBER()

RANK() & DENSE_RANK()

NTILE()

LEAD() & LAG()

SUM(), AVG(), COUNT() with OVER()
✔️ Practical examples on real datasets
✔️ Interview-style queries with solutions

By the end of this tutorial, you’ll be able to apply Window Functions confidently in your SQL projects and interviews.

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