Aggregate Data in SQL using MySQL Workbench

제공자:
Coursera Project Network
학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

Recognize ways in which aggregated data can improve the decision-making process.

Incorporate the GROUP BY clause in SQL to aggregate data.

Demonstrate the use of SQL aggregate functions using MySQL Workbench.

Clock2 hours
Intermediate중급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

In this project you will use MySQL Workbench to write SQL queries that aggregate (group) data. Incorporating aggregate functions like COUNT, SUM, and AVG, your SQL queries will group and summarize data. Data that is aggregated and presented in a logical format makes it a more valuable decision-making tool for users. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

개발할 기술

  • Mysql Workbench
  • Group By
  • SQL code
  • SQL Aggregate Functions
  • Data Aggregation

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  1. Examine and execute an SQL query that uses the Group and Count functions in MySQL Workbench to count the number of orders placed by each customer.

  2. Group by customer and product name and use the SQL COUNT aggregate function to display the total number of items on each order for each customer.

  3. After calculating the amount due for each product, use the SQL SUM aggregate function and the GROUP BY clause to calculate the total sales amount for each order.

  4. Write SQL code in MySQL Workbench that incorporates the Group, Count, Min, Max, and Avg functions to produce statistics for analyzing purchasing patterns.

  5. Group by customer and order, using the HAVING clause to filter for orders with more than one item per order.

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

자주 묻는 질문

자주 묻는 질문

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