Subqueries, CTEs and Analytical Thinking in SQL in Data Analyst
Think of this chapter as a classroom explanation written in simple language, with the goal of making the topic practical instead of theoretical.
Chapter Overview
Subqueries and common table expressions help break a complex problem into smaller steps. This is useful when a business question has layers, such as finding the top customer in each city or comparing current sales with monthly averages.
Why CTEs Help
A CTE makes the logic easier to read. Instead of one long unreadable query, you can build a temporary named result and then query it.
SQL Example
WITH monthly_sales AS (
SELECT DATE_FORMAT(order_date, '%Y-%m') AS month,
SUM(revenue) AS total_revenue
FROM orders
GROUP BY DATE_FORMAT(order_date, '%Y-%m')
)
SELECT *
FROM monthly_sales
WHERE total_revenue > 100000;Learning Tip
When SQL looks complex, solve the problem in stages. Analysts who can structure thinking clearly usually write better queries.
Key Takeaways
- Go beyond basics with layered SQL logic that mirrors real business questions.
- This chapter belongs to SQL for Data Analysts and is written in a simple student-friendly style.
- Practice with SQL queries with simple table examples to build confidence faster.
