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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 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?

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

  • Compute running totals and running averages
  • Build rankings
  • Find 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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    One to Rule 'Em All

    Includes 41 courses Python Basics. Part 1, Python Basics. Part 2, Python Basics. Part 3, Python Data Structures in Practice, Built-in Algorithms in Python, Working with Strings in Python, SQL Basics, SQL Practice Set, SQL JOINs, Standard SQL Functions, Creating Basic SQL Reports, Window Functions, Revenue Trend Analysis in SQL, How to INSERT, UPDATE, and DELETE Data in SQL, Recursive Queries, Creating Tables in SQL, Introduction to R, Tidyverse, Data Visualization 101, Statistics 101, SQL Basics in MS SQL Server, How to Insert, Update, or Delete Data in MS SQL Server, Common Functions in MS SQL Server, Revenue Trend Analysis in SQL Server, Creating Basic SQL Reports in SQL Server, Window Functions in MS SQL Server, Recursive Queries in MS SQL Server, GROUP BY Extensions in MS SQL Server, Introduction to Python for Data Science, How to Read and Write CSV Files in Python, How to Read and Write JSON Files in Python, Lists and Functions in R, Data Manipulation in R, SQL Basics in PostgreSQL, PostgreSQL JOINs, SQL Practice Set in PostgreSQL, Window Functions in PostgreSQL, Recursive Queries in PostgreSQL, Writing User-Defined Functions in PostgreSQL, PostGIS, How to Read and Write Excel Files in Python

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    SQL Complete Track

    Includes 9 courses SQL Basics, SQL Practice Set, SQL JOINs, Standard SQL Functions, Window Functions, How to INSERT, UPDATE, and DELETE Data in SQL, Recursive Queries, Creating Tables in SQL, PostGIS

    Bundle price $95

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    SQL Advanced Kit

    Includes 3 courses Standard SQL Functions, Window Functions, Recursive Queries

    Bundle price $45

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    Table of contents

    Progress: 0% completed 0 of 218 exercises done

    1. Introduction

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

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    2. OVER()

    Your first encounter with window functions.

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    3. OVER(PARTITION BY)

    Discover how you can define the function window with PARTITION BY

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    4. Ranking Functions

    Learn how you can rank rows with window functions.

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    5. Window Frame

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

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    6. Analytics functions

    Learn the most essential analytic functions.

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    7. PARTITION BY ORDER BY

    Create advanced statistics computed independently for various groups of rows.

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    8. Window functions - evaluation order

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

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    9. Practice field

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

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    10. Final Quiz

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

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