Matt Goldwasser - The Applied SQL Data Analytics Workshop: Develop your practical skills and prepare to become a professional data analyst, 2nd Edition
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Take a step-by-step approach to learning SQL data analysis in this interactive workshop that uses fun exercises and activities to make learning data analytics for beginners easy and approachable.
Key Features- Explore ways to use SQL for data analytics and gain key insights from your data
- Study advanced analytics, such as geospatial and text analytics
- Discover ways to integrate your SQL pipelines with other analytics technologies
Every day, businesses operate around the clock and a huge amount of data is generated at a rapid pace. Hidden in this data are key patterns and behaviors that can help you and your business understand your customers at a deep, fundamental level. Are you ready to enter the exciting world of data analytics and unlock these useful insights?
Written by a team of expert data scientists who have used their data analytics skills to transform businesses of all shapes and sizes, The Applied SQL Data Analytics Workshop is a great way to get started with data analysis, showing you how to effectively sieve and process information from raw data, even without any prior experience.
The book begins by showing you how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data. As you progress, youll learn how to write SQL queries to aggregate, calculate and combine SQL data from sources outside of your current dataset. Youll also discover how to work with different data types, like JSON. By exploring advanced techniques, such as geospatial analysis and text analysis, youll finally 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 The Applied SQL Data Analytics Workshop, youll have the skills you need to start identifying patterns and unlocking insights in your own data. You will be capable of looking and assessing data with the critical eye of a skilled data analyst.
What you will learn- Understand what data analytics is and why it is important
- Experiment with data analytics using basic and advanced queries
- Interpret data through descriptive statistics and aggregate functions
- Export data from external sources using powerful SQL queries
- Work with and manipulate data using SQL joins and constraints
- Speed up your data analysis workflow by automating tasks and optimizing queries
If you are a database engineer who is looking to transition into analytics or someone who knows SQL basics but doesnt know how to use it to create business insights, then this book is for you.
Table of Contents- Introduction to SQL for Analytics
- SQL for Data Preparation
- Aggregate and Window Functions
- Importing and Exporting Data
- Analytics Using Complex Data Types
- Performant SQL
- The Scientific Methods and Applied Problem Solving
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Develop your practical skills and prepare to become a professional data analyst
Matt Goldwasser, Upom Malik, and Benjamin Johnston
Copyright 2020 Packt Publishing
All rights reserved. No part of this book 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 book to ensure the accuracy of the information presented. However, the information contained in this book 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 book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
Authors: Matt Goldwasser, Upom Malik, and Benjamin Johnston
Reviewers: Halil Burak Cetinkaya, Joshua Grner, Siddharth Poddar, and Fiodar Sazanavets
Managing Editor: Aditya Shah
Acquisitions Editors: Anindya Sil and Karan Wadekar
Production Editor: Roshan Kawale
Editorial Board: Megan Carlisle, Samuel Christa, Mahesh Dhyani, Heather Gopsill, Manasa Kumar, Alex Mazonowicz, Monesh Mirpuri, Bridget Neale, Dominic Pereira, Shiny Poojary, Abhishek Rane, Brendan Rodrigues, Erol Staveley, Ankita Thakur, Nitesh Thakur, and Jonathan Wray
First published: August 2019
Second edition: July 2020
Production reference: 1300720
ISBN: 978-1-80056-072-7
Published by Packt Publishing Ltd.
Livery Place, 35 Livery Street
Birmingham B3 2PB, UK
Every day, businesses operate around the clock and a huge amount of data is generated at a rapid pace. Hidden in this data are key patterns and behaviors that can help you and your business understand your customers at a deep, fundamental level. Are you ready to enter the exciting world of data analytics and unlock these useful insights?
Written by a team of expert data scientists who have used their data analytics skills to transform businesses of all shapes and sizes, The Applied SQL Data Analytics Workshop, Second Edition is a great way to get started with data analysis, showing you how to effectively sieve and process information from raw data, even without any prior experience.
The book begins by showing you how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data. As you progress, you'll learn how to write SQL queries to aggregate, calculate and combine SQL data from sources outside of your current dataset. You'll also discover how to work with different data types, like JSON. By exploring advanced techniques, such as geospatial analysis and text analysis, you'll finally 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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