Learn how to perform SQL trend analyses using SQL and build a meaningful revenue report from scratch.
Ultimate money saver
With our Forever plan this course will cost you only
37 hours left
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.
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.
Get to know the data model and learn some basic revenue trend concepts.
Get to know the database
Basic revenue metrics
Learn how to compare revenue values from different periods.
Total revenue for multiple periods
Creating "revenue in quarters" reports
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