Learn how to perform SQL trend analyses using SQL and build a meaningful revenue report from scratch.
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.
86%
off
Reg. price
$1512
Includes 41 courses Python Basics. Part 1, Python Basics. Part 2, Python Basics. Part 3, Python Data Structures in Practice, Built-in Algorithms in Python, Working with Strings in Python, SQL Basics, SQL Practice Set, SQL JOINs, Standard SQL Functions, Creating Basic SQL Reports, Window Functions, Revenue Trend Analysis in SQL, How to INSERT, UPDATE, and DELETE Data in SQL, Recursive Queries, Creating Tables in SQL, Introduction to R, Tidyverse, Data Visualization 101, Statistics 101, SQL Basics in MS SQL Server, How to Insert, Update, or Delete Data in MS SQL Server, Common Functions in MS SQL Server, Revenue Trend Analysis in SQL Server, Creating Basic SQL Reports in SQL Server, Window Functions in MS SQL Server, Recursive Queries in MS SQL Server, GROUP BY Extensions in MS SQL Server, Introduction to Python for Data Science, How to Read and Write CSV Files in Python, How to Read and Write JSON Files in Python, Lists and Functions in R, Data Manipulation in R, SQL Basics in PostgreSQL, PostgreSQL JOINs, SQL Practice Set in PostgreSQL, Window Functions in PostgreSQL, Recursive Queries in PostgreSQL, Writing User-Defined Functions in PostgreSQL, PostGIS, How to Read and Write Excel Files in Python
Bundle price $199
37 hours left at this price!
Get to know the data model and learn some basic revenue trend concepts.
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Learn how to compare revenue values from different periods.
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Learn how you can extend the report types you already know by comparing different product categories.
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