Performing Data Aggregation using SQL Aggregate Functions

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このガイド付きプロジェクトでは、次のことを行います。

Retrieve data as summaries from tables of a database using SQL aggregate functions

Understand how to set conditions on the result set of an aggregate functions using the HAVING clause

Clock2 hours
Intermediate中級
Cloudダウンロード不要
Video分割画面ビデオ
Comment Dots英語
Laptopデスクトップのみ

In this 2-hour long project-based course, you will learn how to retrieve data from tables in a database using SQL SELECT statement with SQL Aggregate functions. The aggregate functions we will consider in this project are COUNT, SUM, MIN, MAX and AVG. Aggregate functions are used to summarize data from rows of a table into a single value. In addition, you will learn how to set conditions on the output of an aggregate function using the HAVING clause. Finally, you will learn how to tidy up the result set of aggregate functions using the ROUND function. Note: You do not need to be a data administrator or data analyst to be successful in this guided project, just a familiarity with querying databases using SQL SELECT statement suffice for this project. If you are not familiar with SQL and want to learn the basics, start with my previous guided projects titled “Performing Data definition and Manipulation in SQL." and “Querying Databases using SQL SELECT statement”

あなたが開発するスキル

Data ManagementData ManipulationRelational DatabasePostgresqlData Aggregation

ステップバイステップで学習します

ワークエリアを使用した分割画面で再生するビデオでは、講師がこれらの手順を説明します。

  1. Retrieve data from the employees database

  2. Retrieve data from the employees database using the COUNT function

  3. Select distinct data from fields of a table and use the GROUP BY statement

  4. Use the HAVING clause to set conditions on aggregate functions

  5. Retrieve data from the employees database using the SUM function

  6. Retrieve data from the employees database using the MIN & MAX functions

  7. Retrieve data from the employees database using the AVG function

  8. Use ROUND to tidy up the result set of aggregate functions

ガイド付きプロジェクトの仕組み

ワークスペースは、ブラウザに完全にロードされたクラウドデスクトップですので、ダウンロードは不要です

分割画面のビデオで、講師が手順ごとにガイドします

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