JOINs are one of the most fundamental and commonly used features of the SQL language. It's safe to say that at least basic knowledge of querying data from more than one table is an absolute must for every SQL user.

This course covers all important types of SQL JOINs that are widely used by SQL programmers to query databases on a daily basis.

This course is intended for users who have very basic experience with SQL. We assume you know how to write simple queries to select data from a single table.

What Do You Need to Take This Course?

Just a web browser and an Internet connection.

This Course Will Teach You:

  • JOINing and selecting data from more than one table
  • JOINIng many tables in a single query
  • The use cases of LEFT JOIN, RIGHT JOIN, and FULL JOIN
  • How to correctly filter data with different kinds of JOINs
  • How to join a given table with itself
  • How to join tables on non-key columns

You'll also delve into the interesting topic of non-equi JOINs.

Who Should Take This Course?

  • Analysts who use relational databases
  • Students taking courses in relational databases
  • Beginning programmers interested in SQL
  • Business database users who want to improve their querying skills
  • Anyone who wants to improve or practice their knowledge of SQL JOINs
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    Basic Data Analytics

    Includes 8 courses SQL JOINs, SQL Practice Set, SQL Basics, Introduction to Python for Data Science, Statistics 101, Tidyverse, Data Visualization 101, Introduction to R

    Bundle price $98

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    SQL Complete Track

    Includes 9 courses SQL JOINs, SQL Practice Set, SQL Basics, Creating Tables in SQL, PostGIS, Window Functions, Operating on Data in SQL, Recursive Queries, Standard SQL Functions

    Bundle price $99

    Table of contents

    Progress: 0% completed 0 of 93 exercises done

    1. Recap of SQL JOIN types

    Review the most common types of JOINs. Practice JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN and others.

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    2. Multiple JOINs

    Refine your joining skills. Exercise joining more than two tables in one SQL query.

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    3. Joining a table with itself

    Learn how to join SQL table with itself.

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    4. Non-equi JOINs

    Practice joins with less common conditions: non-equi JOINs and joins between non-key columns.

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    5. Challenge

    Check your knowledge in the challenge.

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