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Joining Data in SQL

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4 hr
3,950 XP
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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.
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  1. 1

    Introducing Inner Joins

    Free

    In this chapter, you’ll be introduced to the concept of joining tables and will explore all the ways you can enrich your queries using joins—beginning with inner joins.

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    The ins and outs of INNER JOIN
    50 xp
    Your first join
    100 xp
    Joining with aliased tables
    100 xp
    USING in action
    100 xp
    Defining relationships
    50 xp
    Relationships in our database
    100 xp
    Inspecting a relationship
    100 xp
    Multiple joins
    50 xp
    Joining multiple tables
    100 xp
    Checking multi-table joins
    100 xp
  2. 2

    Outer Joins, Cross Joins and Self Joins

    After familiarizing yourself with inner joins, you will come to grips with different kinds of outer joins. Next, you will learn about cross joins. Finally, you will learn about situations in which you might join a table with itself.

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  3. 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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Training 2 or more people?

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In other tracks

Associate Data EngineerData AnalystData ScientistData ScientistSQL FundamentalsSQL Server Fundamentals

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collaborators

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Yashas Roy
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Amy Peterson
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James Chapman
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Izzy Weber
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Stan Konkin
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Dani Zysman

prerequisites

Intermediate SQL
Maham Khan HeadshotMaham Khan

Lead Data Scientist, YouView TV

Maham is a Data Scientist on a mission to make data skills accessible for everyone. She's worked on creating toolkits and exploring experimental applications of data science for urban analytics, disaster risk management, and climate change mitigation at the World Bank. She has a background in Experimental Psychology and Philosophy from the University of Oxford and Urban Data Science from NYU.
Yusuf Saber HeadshotYusuf Saber

Chief AI Officer, DataCamp

Yusuf is the Chief AI Officer at DataCamp, where he leads the company’s AI strategy and product innovation. He founded Optima, an AI-native learning platform that was acquired by DataCamp in 2025. Previously, Yusuf led data and AI teams at Careem (acquired by Uber) and Talabat (part of Delivery Hero), where he built scalable machine learning systems. He holds a Master’s degree in Machine Learning from ETH Zurich (Swiss Federal Institute of Technology).
Yassin Zain Alabdeen HeadshotYassin Zain Alabdeen

Staff Engineer, DataCamp

Yassin is a Staff Engineer at DataCamp, where he focuses on AI-powered learning experiences. He was a member of the technical founding team at Optima, an AI-native learning platform acquired by DataCamp in 2025. Previously, Yassin spent four years at Talabat (part of Delivery Hero), where he led the effort to build the company's in-house fraud prevention solution. He holds a Bachelor's degree in Computer Engineering from Middle East Technical University (METU) and a Master's degree in Data Science from Heriot-Watt University.

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