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SQL for Data Analytics. Cover

SQL for Data Analytics.

Harness the power of SQL to extract insights from data

Paid access
|Sep 2022
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Table of Contents

  1. Understanding and Describing Data
  2. The Basics of SQL for Analytics
  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
PDF ISBN: 978-1-80181-780-6
Publisher: Packt Publishing Limited
Copyright owner: © 2022 Packt Publishing Limited
Publication date: 2022
Language: English
Pages: 540