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SQL Window Functions for Analytics

By Coursera on Coursera · Data Science
Price
Free
Level
and grand totals

About This Course

Welcome to this project-based course SQL Window Functions for Analytics. This is a hands-on project that will help SQL users use window functions extensively for database insights. In this project, you will learn how to explore and query the project-db database extensively. We will start this hands-on project by retrieving the data in the table in the database. By the end of this 2-hour-and-a-half-long project, you will be able to use different window functions to retrieve the desired result from a database. In this project, you will learn how to use SQL window functions like ROW_NUMBER(), RANK(), DENSE_RANK(), NTILE(), and LAST_VALUE() to manipulate data in the project-db database. Also, we will consider how to use aggregate window functions. These window functions will be used together with the OVER() clause to query this database. By extension, we will use grouping functions like GROUPING SETS(), ROLLUP(), and CUBE() to retrieve sublevel and grand totals.

Instructor

Arimoro Olayinka Imisioluwa

Frequently Asked Questions

How much does SQL Window Functions for Analytics cost?
Visit the SQL Window Functions for Analytics course page for current pricing and available discounts.
Who teaches SQL Window Functions for Analytics?
SQL Window Functions for Analytics is taught by Arimoro Olayinka Imisioluwa, Coursera.
What skill level is SQL Window Functions for Analytics for?
This course is designed for all levels learners.