Перейти к основному содержимому

Using Joins to Analyze Book Sales in SQL

Learn how to join data together to get it into a state for analysis.
Tim Sangster
Tim Sangster

Создать бесплатный аккаунт

Практикуйтесь и следите за своим прогрессом.

Продолжить с GoogleПродолжая, вы принимаете нашу Условия использования, наши Политику конфиденциальности и то, что ваши данные хранятся в США.

Пишите код вместе с нами на

Code Along ↗

Data in databases is typically spread across many tables, but that's not helpful for analyses. In this session you'll learn how to join data from different tables together to get it into a state for analysis. You'll also learn to analyze and visualize retail data through a dataset on book sales from a bookstore.

In this session we use DataLab. All you need is a DataCamp account. Note that members of some enterprise groups do not yet have access to use DataLab. Create a free DataCamp account with your personal email address to follow along.

We recommend that you have taken the following course before watching:

Resources

What will I learn?

  • Understand database structures and use LEFT JOINs and INNER JOINs to manipulate data for analysis.

  • Learn to use exploratory queries to get a comprehensive understanding of a dataset.

  • Get insights into how to analyze retail sales data.

Темы

Связанное

шпаргалка

SQL Joins Cheat Sheet

Учебное руководство

Introduction to SQL Joins