In this video, you will learn how to use CASE statements in SQL to apply conditional logic and create derived columns. This tutorial explains conditional logic, derived columns, and nested CASE statements in a simple beginner-friendly way.
Topics Covered:
• CASE statement in SQL
• Conditional logic using CASE WHEN
• Creating derived columns
• Nested CASE statements
The CASE statement allows you to add conditional logic directly inside SQL queries. It is commonly used to transform data, categorize values, and create dynamic outputs.
Personal Example:
Categorizing spending into groups such as High, Medium, and Low based on expense amounts.
Industry Example:
Companies use CASE statements for dynamic data classification, such as categorizing customers, assigning risk levels, or grouping products for analysis.
Example SQL Query:
SELECT Amount,
CASE
WHEN Amount greater than 1000 THEN 'High'
WHEN Amount BETWEEN 500 AND 1000 THEN 'Medium'
ELSE 'Low'
END AS SpendingCategory
FROM Expenses;
This query classifies spending into different categories.
This tutorial is useful for beginners learning:
SQL
Database fundamentals
MySQL
PostgreSQL
SQL Server
Data analytics basics
Understanding CASE statements is essential for building flexible SQL queries, performing data transformations, and creating meaningful reports.
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