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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

Data collection and analysis is an old practice going back to the beginning of civilization. Records from ancient Egyptian papyrus suggest that pharaohs collected census information from villages, possibly to determine the number of soldiers that could be enlisted for the war. However, it was after the arrival of modern computers that the art of data analytics became a significant phenomenon that is changing people's lives every day.

This book, as its name suggests, teaches you how to use Structured Query Language (SQL) for data analytics. SQL is the tool that you will be focusing on in the rest of the book. But before diving into SQL, this chapter will provide an overview of data analytics. You will be introduced to fundamental concepts such as the definition and type of statistics and different methods of statistics, which will lay the foundation for the concepts that future chapters will be based on, define the purpose of the SQL operations that you will learn...

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