Interactive Learning Path

SQL for Data Analysis & Business Intelligence

Master SELECT, WHERE, GROUP BY, HAVING, and CASE expressions. Query sample spreadsheets in real-time in your browser memory with zero setup.

sqlSQL BasicsBeginner

1. SELECT Statements, Expressions & Column Aliasing

💡 WHAT

`SELECT` retrieves specific columns or computed mathematical expressions from a dataset table (`data` / `df`).

🎯 WHY

In data analysis, you rarely need every raw column. Selecting only relevant dimensions reduces visual clutter and computational overhead.

⏱️ WHEN

Use in every single SQL analytical query.

Preloaded Demo Dataset: Sales & Revenue Performance (9 rows, 5 columns)

Available as table `data` / `df`

Interactive Code Editor (In-Memory SQL)

SELECT Month, Revenue...Specifies the exact columns to include in the output table.

ROUND(Revenue / 100000.0, 2)Applies arithmetic division and rounds the resulting float to 2 decimal places.

AS Revenue_LakhsRenames the computed expression with a clean human-readable column alias.

FROM data;References the in-memory uploaded spreadsheet table.

Write a query to calculate the Average Price per Unit (Revenue / Units_Sold) as "Avg_Unit_Price" alongside the Month column.

Explore our Python curriculum or test your skills on real-world projects.