SQL Roadmap Episode 7 — Aggregate Functions Explained | COUNT, SUM, AVG, MIN, MAX, GROUP BY & HAVING
Welcome to Episode 7 of the SQL Roadmap Series
In this video, we'll learn about Aggregate Functions in SQL and how databases can summarize large amounts of data to generate meaningful insights.
Aggregate functions are widely used in reporting, analytics, dashboards, business intelligence, and real-world applications.
We'll cover:
• COUNT()
• SUM()
• AVG()
• MAX()
• MIN()
• GROUP BY
• HAVING
• Aliases using AS
We'll also understand:
• How aggregate functions work
• How to summarize data efficiently
• How GROUP BY creates categories of data
• Difference between WHERE and HAVING
• Real-world reporting queries
This video is designed specifically for beginners starting their journey in:
• SQL
• Backend Development
• Data Science
• Data Engineering
• Software Engineering
We'll build a sample employee database and use aggregate functions to generate reports and insights from real data.
By the end of this video, you'll understand how SQL transforms raw data into useful information for decision-making.
Software Used:
• MySQL
• MySQL Workbench
Topics Covered:
• COUNT()
• SUM()
• AVG()
• MAX()
• MIN()
• GROUP BY
• HAVING
• AS (Aliases)
• WHERE vs HAVING
This series will eventually cover:
• Joins
• Keys
• Normalization
• Functions
• Subqueries
• Indexing
• Transactions
• Views
• Stored Procedures
• Advanced SQL
and much more.
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Roadmap : https://www.notion.so/SQL-Roadmap-35a...
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