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SQL Window Functions Tutorial (Part 3): SUM, AVG, COUNT, MIN, MAX Over Partitions

In this third part of my SQL window functions series, I focus on aggregate-based window functions that compute running totals and summaries over a defined partition. Using a real-world example from my MySQL Workbench database (sql_practice, employees table), I demonstrate how each function works and how it transforms the result set.
What’s Covered in This Video:

✅ Window Functions Covered:
• SUM()
• AVG()
• COUNT()
• MIN()
• MAX()


1. Link for Installing MySQL on a Mac:

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2. Youtube Link for downloading database and importing it on your local computer:

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Timestamps:
0:00 Intro to Aggregation based window functions
0:14 What is SUM window function
0:25 Example for SUM window function
1:11 What is AVG window function
1:18 Example for AVG window function
1:40 What is COUNT window function
1:44 Example for COUNT window function
2:13 What is MAX window function
2:21 Example for MAX window function
2:41 What is MIN window function
3:00 Example for MIN window function


Why Watch This Video?
• Understand how to calculate cumulative totals, averages, and row-based summaries with window functions.
• Learn to combine partitioning and ordering to control how aggregates are computed.
• Get hands-on with real examples that mirror practical business reporting tasks.

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Who Should Watch:
• Data analysts and developers using MySQL or advanced SQL.
• Students preparing for SQL interviews and certifications.
• Anyone looking to master window functions for better analytics and reporting.
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