SQL Window Functions for Analytics

提供方
Coursera Project Network
在此指導項目中,您將:

Understand how SQL window functions work and how to use them

Manipulate data in tables using SQL SELECT statements together with window functions

Use different SQL windows to get database insights

Clock2 hours
Advanced高級設置
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

  • Data Manipulation
  • CTE
  • Subqueries
  • Postgresql
  • Window Function

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Getting Started

  2. Window Functions - Refresher

  3. Ranking

  4. Paging: NTILE()

  5. Aggregate Window Functions - Part One

  6. Aggregate Window Functions - Part Two

  7. Window Frames - Part One

  8. Window Frames - Part Two

  9. GROUPING SETS(), ROLLUP(), & CUBE()

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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