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SQL for Data Analytics

You're reading from   SQL for Data Analytics Perform fast and efficient data analysis with the power of SQL

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Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781789807356
Length 386 pages
Edition 1st Edition
Languages
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Authors (3):
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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
Upom Malik Upom Malik
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Upom Malik
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Toc

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

Summary

SQL provides us with many tools for mixing and cleaning data. We have learned how joins allow users to combine multiple tables, while UNION and subqueries allow us to combine multiple queries. We have also learned how SQL has a wide variety of functions and keywords that allow users to map new data, fill in missing data, and remove duplicate data. Keywords such as CASE WHEN, COALESCE, NULLIF, and DISTINCT allow us to make changes to data quickly and easily.

Now that we know how to prepare a dataset, we will learn how to start making analytical insights in the next chapter using aggregates.

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