- Level Expert
- المدة 3 ساعات hours
- الطبع بواسطة Coursera Project Network
-
Offered by
عن
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.الوحدات
Your Learning Journey
1
Assignment
- SQL Window Functions for Analytics
1
Labs
- SQL Window Functions for Analytics
3
Readings
- Project Overview
- SQL files and data sets for the project
- Links to PostgreSQL Window Functions Documentation
Auto Summary
Enhance your SQL skills with the course "SQL Window Functions for Analytics" offered by Coursera. This intermediate-level, hands-on project spans 2.5 hours and focuses on utilizing SQL window functions to gain database insights. Led by an expert instructor, you'll master functions like ROW_NUMBER(), RANK(), and LAST_VALUE(), and explore aggregate functions with the OVER() clause. Ideal for IT and Computer Science enthusiasts, the course is available for free and designed to elevate your data querying abilities.

Instructor
Arimoro Olayinka Imisioluwa