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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

4. Aggregate Functions for Data Analysis

Learning Objectives

By the end of this chapter, you will be able to:

  • Explain the conceptual logic of aggregation
  • Identify the common SQL aggregate functions
  • Use the GROUP BY clause to aggregate and combine groups of data for analysis
  • Use the HAVING clause to filter aggregates
  • Use aggregate functions to clean data and examine data quality

In this chapter, we will cover SQL's aggregate functions, which are powerful functions for summarizing data.

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