Скачать или смотреть Day 19: SQL Filtering, Ordering & Aggregate Functions | Python for Data Analytics Series

Welcome to Day 19 of our Python for Data Analytics series!
This is the continuation of Day 18. Today, we focus on filtering, sorting, and combining aggregate functions to extract meaningful insights from your datasets. You’ll learn how to retrieve exactly the data you need and analyze it efficiently.

📌 What you’ll learn today
✔ Filtering with WHERE clause:
 • IN – select rows matching a list of values
 • BETWEEN – select rows within a range
 • LIKE – pattern matching with wildcards
✔ Ordering results:
 • ORDER BY – sort data ascending/descending
 • TOP / LIMIT – get the first N rows
✔ Combining with Aggregate Functions:
 • COUNT(), SUM(), AVG(), MIN(), MAX()
 • Using aggregates with filters and ordering

✅ Hands-on examples
✔ Retrieving orders from specific regions using IN
✔ Filtering sales within a date range using BETWEEN
✔ Searching for customers with names starting with “A” using LIKE
✔ Sorting top-selling products with ORDER BY + TOP
✔ Calculating total, average, min, and max sales per region using aggregates
✔ Combining filtering + aggregate functions to analyze high-value customers

🌐 Resources
Visit: https://ysminfosolution.com

📧 Contact: [email protected]

🔔 Subscribe and continue our Python for Data Analytics series to master SQL queries for advanced data analysis!

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