EssentialSQL: SQL Window Functions for Business Analytics
Last updated on October 13, 2026 10:42 amEssentialSQL: SQL Window Functions for Business Analytics
★★★★★
$449.00 in stock
Udemy.com
as of October 13, 2026 10:42 am
SQL Window Functions for SQL Server, MySQL, SQLite & PostgreSQL, for Data Analysis, Business Analytics and Intelligence
Created by:
Kris Wenzel
Let me teach you SQL using simple to understand English.
Let me teach you SQL using simple to understand English.
Created by:
Essential Sql
Learn everything you need to use SQL in your next project
Learn everything you need to use SQL in your next project
Rating:4.54 (99reviews)
498students enrolled
What Will I Learn?
- Learn how to incorporate window functions into your SQL queries.
- Understand how partitions and windows work together within a query.
- Apply window functions so you can avoid using cursors in your SQL.
- Understand the difference between window function mechanics and GROUB BY summaries.
- Create complex queries involving joins using window functions.
- Apply aggregate, analytic, and ranking functions to perform common business tasks such as calculating running totals or comparing one row’s value to the next.
- Create queries using either MySQL, PostgreSQL, or SQL Server.
Requirements
- You should already be familiar with SELECT, GROUP BY, and ORDER BY clauses
- Knowledge of joins and subqueries isn't required, but recommended.
- If you can write a simple GROUP BY statement with HAVING, then you are ready for this course.
- No special equipment needed, all exercises are done online.
- Optional: Install a MySQL, PostgreSQL, or SQL Server learning lab on your own computer.
Target audience
- Advanced Beginner to Intermediate SQL query authors curious about window functions.
- If you're having a hard time understanding the ins and outs of window functions, then this course is for you as I explain it to you in simple to understand English.
- Business analysts looking more ways to write queries.
- Data Engineers needing more tools to deal with dirty data, such as an easy means to deduplicate incoming rows.
- Recent college graduates looking to hone their SQL skills.
- Job applicants looking for that extra edge with their next interview!


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