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Jun Shan - SQL for Data Analytics: Harness the power of SQL to extract insights from data, 3rd Edition

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Take your first steps to becoming a fully qualified data analyst by learning how to explore complex datasets

Key Features
  • Master each concept through practical exercises and activities
  • Discover various statistical techniques to analyze your data
  • Implement everything youve learned on a real-world case study to uncover valuable insights
Book Description

Every day, businesses operate around the clock, and a huge amount of data is generated at a rapid pace. This book helps you analyze this data and identify key patterns and behaviors that can help you and your business understand your customers at a deep, fundamental level.

SQL for Data Analytics, Third Edition is a great way to get started with data analysis, showing how to effectively sort and process information from raw data, even without any prior experience.

You will begin by learning how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data. As you progress, you will learn how to write SQL queries to aggregate, calculate, and combine SQL data from sources outside of your current dataset. You will also discover how to work with advanced data types, like JSON. By exploring advanced techniques, such as geospatial analysis and text analysis, you will be able to understand your business at a deeper level. Finally, the book lets you in on the secret to getting information faster and more effectively by using advanced techniques like profiling and automation.

By the end of this book, you will be proficient in the efficient application of SQL techniques in everyday business scenarios and looking at data with the critical eye ofanalytics professional.

What you will learn
  • Use SQL to clean, prepare, and combine different datasets
  • Aggregate basic statistics using GROUP BY clauses
  • Perform advanced statistical calculations using a WINDOW function
  • Import data into a database to combine with other tables
  • Export SQL query results into various sources
  • Analyze special data types in SQL, including geospatial, date/time, and JSON data
  • Optimize queries and automate tasks
  • Think about data problems and find answers using SQL
Who this book is for

If youre a database engineer looking to transition into analytics or a backend engineer who wants to develop a deeper understanding of production data and gain practical SQL knowledge, you will find this book useful. This book is also ideal for data scientists or business analysts who want to improve their data analytics skills using SQL.

Basic familiarity with SQL (such as basic SELECT, WHERE, and GROUP BY clauses) as well as a good understanding of linear algebra, statistics, and PostgreSQL 14 are necessary to make the most of this SQL data analytics book.

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

Jun Shan: author's other books


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SQL for Data Analytics Third Edition Harness the power of SQL to extract - photo 1
SQL for Data Analytics
Third Edition

Harness the power of SQL to extract insights from data

Jun Shan, Matt Goldwasser, Upom Malik, and Benjamin Johnston

SQL for Data Analytics
Third edition

Copyright 2022 Packt Publishing

All rights reserved. No part of this course may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this course to ensure the accuracy of the information presented. However, the information contained in this course is sold without warranty, either express or implied. Neither the authors nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this course.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this course by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Authors: Jun Shan, Matt Goldwasser, Upom Malik, and Benjamin Johnston

Reviewers: Haibin Li and Bharath Kumar Bolla

Development Editor: Padma K. Mohapatra

Acquisitions Editors: Anindya Sil and Sneha Shinde

Production Editor: Shantanu Zagade

Editorial Board: Megan Carlisle, Ketan Giri, Heather Gopsill, Bridget Kenningham, Manasa Kumar, Alex Mazonowicz, Monesh Mirpuri, Abhishek Rane, Brendan Rodrigues, Ankita Thakur, Nitesh Thakur, and Jonathan Wray

First published: August 2019

Second edition: February 2020

Third edition: August 2022

Production reference: 1250822

ISBN: 978-1-80181-287-0

Published by Packt Publishing Ltd.

Livery Place, 35 Livery Street

Birmingham B3 2PB, UK

Table of Contents
Preface
About the Book

Every day, businesses operate around the clock, and a huge amount of data is generated at a rapid pace. This book helps you analyze this data and identify key patterns and behaviors that can help you and your business understand your customers at a deep, fundamental level.

SQL for Data Analytics, Third Edition is a great way to get started with data analysis, showing how to effectively sort and process information from raw data, even without any prior experience.

You will begin by learning how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data. As you progress, you will learn how to write SQL queries to aggregate, calculate, and combine SQL data from sources outside of your current dataset. You will also discover how to work with advanced data types, like JSON. By exploring advanced techniques, such as geospatial analysis and text analysis, you will be able to understand your business at a deeper level. Finally, the book lets you in on the secret to getting information faster and more effectively by using advanced techniques like profiling and automation.

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