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Applying SQL to Real-World Problems

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

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4 Hours13 Videos47 Exercises10,115 Learners
3550 XP

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Course Description

Now that you’ve learned the basic tools of SQL you are ready to synthesize them into practical, real-world skills. In this course, you will work with a database of a fictional movie rental company. The size and complexity of this database will allow you to experience the challenges of working with databases firsthand. Throughout this course, you will use SQL to answer business-driven questions. You will learn new skills that will empower you to find the tables you need. You will then learn how to store and manage this data in tables and views that you create. Best of all you will also learn how to write code that not only clearly conveys your intent but is also legible.

  1. 1

    Use Real-World SQL


    You will review some of the most commonly used SQL commands to ensure you are prepared to tackle both real-world problems as well as every exercise covered in this course.

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    Essential SQL
    50 xp
    Review the essentials
    100 xp
    Practice the essentials
    100 xp
    Transforming your results
    50 xp
    Transform numeric & strings
    100 xp
    Extract what you need
    100 xp
    Working with aggregate functions
    50 xp
    Aggregating finances
    100 xp
    Aggregating strings
    100 xp
    Which tables?
    50 xp
  2. 2

    Find Your Data

    How do you find the data you need in your database in order to answer real-world business questions? Here you will learn how to use system tables to explore your database. You will use these tables to create a new tool that contains a list of all tables and columns in your database. Finally, you will create an Entity Relationship Diagram (ERD) which will help you connect multiple tables.

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  3. 3

    Manage Your Data

    Working with SQL to solve real-world problems will oftentimes require you to do more than retrieve the data you need, oftentimes you will need to manage the data in your database. This includes creating data, updating it and, when necessary, deleting it.

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  4. 4

    Best Practices for Writing SQL

    How do you ensure that the SQL scripts you write will be easy to understand for anyone who needs to read them? This chapter will cover approaches you can leverage to ensure that your code clearly conveys your intent, is readable by others and follows best practices.

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In the following tracks

SQL for Business Analysts


Chester IsmayAdrián Soto


Intermediate SQL
Dmitriy Gorenshteyn Headshot

Dmitriy Gorenshteyn

Lead Data Scientist at Memorial Sloan Kettering Cancer Center

Dmitriy is a Principal Data Scientist at Interos Inc. Previously, he worked in the Strategy & Innovation department at Memorial Sloan Kettering Cancer Center where he developed predictive models for programs aimed at improving patient care. Dmitriy completed his Doctorate in Quantitative & Computational Biology at Princeton University. His core teaching philosophy is centered on building intuition and understanding for the methods and tools available.
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Lloyds Banking Group

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Harvard Business School

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Decision Science Analytics, USAA