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SQL for Data Analytics

You're reading from   SQL for Data Analytics Harness the power of SQL to extract insights from data

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781801812870
Length 540 pages
Edition 3rd Edition
Languages
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Authors (4):
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Benjamin Johnston Benjamin Johnston
Author Profile Icon Benjamin Johnston
Benjamin Johnston
Matt Goldwasser Matt Goldwasser
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Matt Goldwasser
Jun Shan Jun Shan
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Jun Shan
Upom Malik Upom Malik
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Upom Malik
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Table of Contents (11) Chapters Close

Preface 1. Understanding and Describing Data 2. The Basics of SQL for Analytics FREE CHAPTER 3. SQL for Data Preparation 4. Aggregate Functions for Data Analysis 5. Window Functions for Data Analysis 6. Importing and Exporting Data 7. Analytics Using Complex Data Types 8. Performant SQL 9. Using SQL to Uncover the Truth: A Case Study Appendix

Case Study

Throughout this chapter, you will work on a case study. The new ZoomZoom Bat Scooter is now available for sale exclusively through its website. Sales are looking good, but suddenly, preorders start plunging by 20% after a couple of weeks. What is going on? As the best data analyst at ZoomZoom, you have been assigned to figure this out.

The Scientific Method

In this case study, you will be following the scientific method to solve the problem. Here, you will test guesses (or hypotheses) using objectively collected data. The scientific method can be decomposed into the following key steps:

  1. Define the question to answer, which in this case is what caused the drop in sales of the Bat Scooter after approximately 2 weeks.
  2. Perform complete background research to gather sufficient information to propose an initial hypothesis for the event or phenomenon.
  3. Construct a hypothesis to explain the event or answer the question.
  4. Define and execute an objective experiment...
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