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Revenue Trend Analysis in SQL

Learn how to perform SQL trend analyses using SQL and build a meaningful revenue report from scratch.

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10 free interactive coding challenges

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Interactive exercises

10 h

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This online course is intended for users who know basic SQL concepts such as WHERE, GROUP BY, ORDER BY and HAVING clauses, and how to JOIN tables. We introduce this information in our SQL Basics course.

Every company needs to run analyses to check its performance on the market; after all, the analyses of revenue trends are among the most important indicators of commercial success. To this end, you can use multiple tools, such as Excel spreadsheets. However, if you store your business data in a relational database, the most ideal approach would be through SQL. This language allows you to perform sophisticated queries using your data and leverage the capabilities of your database to create revenue reports quickly.

Cover image for the course 'Revenue Trend Analysis in SQL'

In this online course, you'll learn how to use SQL to analyze revenue trends. However, although your main focus will be on revenue, you'll still gain knowledge on a variety of topics. In other words, once you complete the course on SQL trends, you'll be able to analyze other trends in a similar way (ie: website visits over time).

You'll also have many opportunities to use your SQL trend skills practically during this online course. By creating revenue reports, for example, you'll learn about real-world scenarios in which SQL might come in handy. As such, this course is ideal for analysts, data science beginners, IT students, and anyone aiming to work with data to generate reports. Once you complete the online course, you'll be able to create a wide range of revenue reports in SQL.

What's in It for Me?

  • 60 interactive exercises. Learn at your own pace, from any location and at any time. Work through hands-on exercises to help you retain what you have learned so far.
  • Lifetime access to the course. When you purchase the online course, you'll get instant personal access to all of its content forever.
  • Online certificate. After you successfully finish all of the exercises in the online course, you'll receive a downloadable PDF certificate to showcase your accomplishment.
  • 30-day money-back guarantee. If you're not satisfied with the quality of the online course, you can get a refund within 30 days of your purchase.
  • Exercise hints. You can take advantage of ready-made hints for every exercise, or ask questions and share insights with other members of our community through the Discuss tab.

What Do You Need to Take This Course?

  • Web browser
  • Internet connection
  • Basic knowledge of SQL presented in our SQL Basics track or an equivalent course

Learn How To:

  • Compute the total revenue of your company.
  • Compute the revenue generated during a given period.
  • Compute year-to-date and month-to-date revenue.
  • Compare revenue across different time periods.
  • Compare revenue over time across different categories.
  • Create a clear and concise revenue report in SQL.

Who Should Take This Course?

  • Analysts who know basic SQL and want to use it to create revenue reports
  • Data science beginners
  • IT students with an interest in SQL
  • Anyone who knows SQL in theory and would like to use it in practice
  • Anyone interested in starting a career working with SQL trends or as an SQL Reporting Analyst

Table of contents


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Course progress


Exercises completed


Computing total revenue for different time periods

Get to know the data model and learn some basic revenue trend concepts.



Get to know the database

Basic revenue metrics



Comparing revenue across different periods

Learn how to compare revenue values from different periods.



Total revenue for multiple periods

Calculating deltas

Creating "revenue in quarters" reports



Comparing revenue over time across different categories

Learn how you can extend the report types you already know by comparing different product categories.



Reports with revenue in categories

Revenue in time periods for selected categories


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