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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

Introduction

Throughout SQL for Data Analytics, Third Edition, you have learned a range of new skills (including basic descriptive statistics, SQL commands, and importing and exporting data in PostgreSQL) as well as more advanced methods to optimize and automate SQL (such as functions and triggers). In this final chapter of this workshop, you will combine these new skills with the scientific method and critical thinking to solve a real-world problem and determine the cause of an unexpected drop in sales.

This chapter provides a case study and will help you build your confidence in applying your new SQL skillset to your own problem domains. To solve the problem presented in this case study, you will use the complete range of your newly developed skills, from using basic SQL searches to filtering out the available information to aggregating and joining multiple sets of information and using windowing methods to group the data in a logical manner. By completing case studies such as...

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