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Joining Data in SQL

Basic4 hr

Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.

Sql4 hr14 videos47 Exercises3,950 XP330K+Statement of accomplishment

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Course Description

Joining data is an essential skill in data analysis, enabling you to draw information from separate tables together into a single, meaningful set of results. In this comprehensive course on joining data, you'll delve into the intricacies of table joins and relational set theory, learning how to optimize your queries for efficient data retrieval.

Understand Data Joining Fundamentals

You will learn how to work with multiple tables in SQL by navigating and extracting data from various tables within a SQL database using various join types, including inner joins, outer joins, and cross joins. With practice, you'll gain the knowledge of how to select the appropriate join method.

Explore Advanced Data Manipulation Techniques

Next up, you'll explore set theory principles such as unions, intersects, and except clauses, as well as discover the power of nested queries in SQL. Every step is accompanied by exercises and opportunities to apply the theory and grow your confidence in SQL.

Prerequisites

Curriculum

Course outline

1

Introducing Inner Joins

2

Outer Joins, Cross Joins and Self Joins

3

Set Theory for SQL Joins

In this chapter, you will learn about using set theory operations in SQL, with an introduction to UNION, UNION ALL, INTERSECT, and EXCEPT clauses. You’ll explore the predominant ways in which set theory operations differ from join operations.
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Joining Data in SQL

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