Interactive Course
Learn how to use analytic SQL functions to deeply understand data.
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41 hours left
SQL window functions – also known as windowing functions, OVER functions, or analytic functions – are tremendously useful. These functions make building complex aggregations much simpler. In this step-by-step tutorial, we will lead you through SQL window functions. At its end, you'll embrace this topic with ease and feel comfortable using window functions in SQL databases.
Window functions are so powerful that they serve as a dividing point in time: people talk about SQL before window functions and SQL after window functions. Because they were introduced into the standard relatively recently, these functions aren't covered in many SQL courses.
Note: Most popular database engines support window functions; MySQL is the only one that does not.
About the Window Functions in SQL CourseThis course is intended for intermediate users. We assume the user knows the basics of SQL, including:
You'll also get a deeper understanding of SQL aggregate functions.
Course progress
Exercises completed
Window functions? We'll explain what it's all about.
Exercises completed
Your first encounter with window functions.
Exercises completed
Discover how you can define the function window with PARTITION BY
Exercises completed
Learn how you can rank rows with window functions.
Exercises completed
Get to know how to create sophisticated window frames for your window functions.
Exercises completed
Learn the most essential analytic functions.
Exercises completed
Create advanced statistics computed independently for various groups of rows.
Exercises completed
Do you know when window functions are evaluated in a SQL query? Let's find out.
Exercises completed
Master all the skills you acquired so far in our big practice part.
Exercises completed
Test the skills you acquired in the whole course with this final quiz.
Exercises completed