Advanced Course

Window Functions

Learn how to use analytic SQL functions to deeply understand data.

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Time to complete 20 h

Coding challenges 218

Skills you will gain

  • Learn the syntax of the OVER() clause
  • Learn how to combine OVER() and PARTITION BY
  • Discover how to combine OVER() and ORDER BY
  • Understand how to rank rows using RANK, DENSE_RANK, and ROW_NUMBER
  • Learn how to create sophisticated window frames using ROWS and RANGE.
  • Discover the syntax of the analytic functions LEAD, LAG, FIRST_VALUE, LAST_VALUE, and NTILE.
  • Understand how to combine window functions and GROUP BY
  • Learn when to use window functions and when to use GROUP BY
  • Learn how window functions can be used to build rankings
  • Compute running totals and running averages
  • Find the best and worst performers
  • Learn how to Investigate trends across time
  • Calculate contributions to the whole, such as commission percentages
  • Gain a deeper understanding of SQL aggregate functions.

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Table of contents

Course progress 0%

Exercises completed 0/218

  1. Introduction

    0/8

    Window functions? We'll explain what it's all about.

  2. OVER()

    0/17

    Your first encounter with window functions.

  3. OVER(PARTITION BY)

    0/16

    Discover how you can define the function window with PARTITION BY

  4. Ranking Functions

    0/26

    Learn how you can rank rows with window functions.

  5. Window Frame

    0/26

    Get to know how to create sophisticated window frames for your window functions.

  6. Analytics functions

    0/30

    Learn the most essential analytic functions.

  7. PARTITION BY ORDER BY

    0/25

    Create advanced statistics computed independently for various groups of rows.

  8. Window functions - evaluation order

    0/23

    Do you know when window functions are evaluated in a SQL query? Let's find out.

  9. Practice field

    0/32

    Master all the skills you acquired so far in our big practice part.

  10. Final Quiz

    0/15

    Test the skills you acquired in the whole course with this final quiz.

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Description

Description

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 SQL clauses floating on the screen

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.

About the Window Functions in SQL Course

This course covers the syntax and semantics of SQL window functions. It shows how powerful they are, what the typical use cases are, and how to use ORDER BY and PARTITION BY to set up a frame for window functions. You'll also learn the difference between ROWS and RANGE clauses.

This course is intended for intermediate users. We assume the user knows the basics of SQL, including:

  • How to select from a single table, including writing complex WHERE conditions
  • How to JOIN tables
  • How GROUP BY and HAVING work

What are the requirements?

  • A web browser
  • Knowledge of basic SQL, including JOINs and GROUP BY clauses

What Am I Going to Get from This SQL Course?

In this course you will learn:

  • The syntax of the OVER() clause
  • How to combine OVER() and PARTITION BY
  • How to combine OVER() and ORDER BY
  • How to rank rows using RANK, DENSE_RANK, and ROW_NUMBER
  • How to create sophisticated window frames using ROWS and RANGE.
  • The syntax of the analytic functions LEAD, LAG, FIRST_VALUE, LAST_VALUE, and NTILE.
  • How to combine window functions and GROUP BY
  • When to use window functions and when to use GROUP BY

You'll discover how window functions can be used to:

  • Build rankings
  • Compute running totals and running averages
  • Find the best and worst performers
  • Investigate trends across time
  • Calculate contributions to the whole, such as commission percentages

You'll also get a deeper understanding of SQL aggregate functions.

Who Should Take This Course?

  • Beginning database analysts
  • Developers who want to keep their knowledge of SQL current
  • Students taking classes in relational databases
  • Anyone who wants to learn SQL window functions

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4.90/5

★★★★★ ★★★★★ (2815 ratings)

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