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Upom Malik - The Applied SQL Data Analytics Workshop: A Quick, Interactive Approach to Learning Analytics with SQL, 2nd Edition

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Cut through the noise and get real results with a step-by-step approach to learning about SQL data analysis

Key Features
  • Ideal for SQL beginners who are getting started with data analytics for the first time
  • A step-by-step SQL tutorial with exercises and activities that help build key skills
  • Structured to let you progress at your own pace, on your own terms
  • Use your physical print copy to redeem free access to the online interactive edition
Book Description

You already know that you want to learn data analysis with SQL, and a smarter way to learn is to learn by doing. The Applied SQL Data Analytics Workshop focuses on building up your practical skills so that you can navigate and compose custom reports like an expert data analyst. Youll learn from real examples that lead to real results.

Throughout The Applied SQL Data Analytics Workshop, youll take an engaging step-by-step approach to understand data analytics with SQL. You wont have to sit through any unnecessary theory. You can jump into a single exercise each day if youre short on time, or you can spend an entire weekend tinkering with SQLAlchemy and Python. Its your choice. Learning on your terms, youll build up and reinforce key skills in a way that feels rewarding.

Every physical print copy of The Applied SQL Data Analytics Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, youll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. Youll even earn a secure credential that you can share and verify online upon completion. Its a premium learning experience thats included with your printed copy. To redeem, follow the instructions located at the start of your book.

Fast-paced and direct, The Applied SQL Data Analytics Workshop is the ideal companion for SQL beginners. Youll perform SQL queries like a professional data scientist, learning along the way. This process means that youll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.

What you will learn
  • Experiment with data analytics using basic and advanced queries
  • Learn data interpretation through descriptive statistics and aggregate functions
  • Export data from outside sources using powerful SQL queries
  • Discover how to work with and manipulate data using SQL joins and constraints
  • Speed up your data analysis workflow by automating tasks and optimizing queries
  • Discover different advanced analytics techniques, including geospatial and text analysis
Who this book is for

Our goal at Packt is to help you be successful, in whatever it is you choose to do. The Applied SQL Data Analytics Workshop is an ideal tutorial for the beginner who wants to perform data analysis with SQL and is just getting started. Pick up a Workshop today, and let Packt help you develop skills that stick with you for life.

Table of Contents
  1. Introduction to SQL for Analytics
  2. SQL for Data Preparation
  3. Aggregate and Window Functions
  4. Importing and Exporting Data
  5. Analytics Using Complex Data Types
  6. Performant SQL
  7. The Scientific Methods and Applied Problem Solving

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The Applied SQL Data Analytics Workshop Second Edition A Quick Interactive - photo 1
The Applied SQL Data Analytics Workshop
Second Edition

A Quick, Interactive Approach to Learning
Analytics with SQL

Upom Malik

Matt Goldwasser

Benjamin Johnston

The Applied SQL Data Analytics Workshop
Second Edition

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: Upom Malik, Matt Goldwasser, and Benjamin Johnston

Reviewers: Halil Burak Cetinkaya, Joshua Grner, and Siddharth Poddar

Managing Editor: Aditya Shah

Acquisitions Editors: Anindya Sil and Karan Wadekar

Production Editor: Shantanu Zagade

Editorial Board: Shubhopriya Banerjee, Bharat Botle, Ewan Buckingham, Megan Carlisle, Mahesh Dhyani, Manasa Kumar, Alex Mazonowicz, Bridget Neale, Dominic Pereira, Shiny Poojary, Abhishek Rane, Brendan Rodrigues, Mugdha Sawarkar, Erol Staveley, Ankita Thakur, Nitesh Thakur, and Jonathan Wray

First published: August 2019

Second edition: February 2020

Production reference: 1270220

ISBN 978-1-80020-367-9

Published by Packt Publishing Ltd.

Livery Place, 35 Livery Street

Birmingham B3 2PB, UK

Table of Contents

>

Preface
About

This section briefly introduces this book and the software requirements you need in order to complete all of the included activities and exercises.

About the Book

You already know that you want to learn data analysis with SQL, and the smarter way to learn is to learn by doing. The Applied SQL Data Analytics Workshop focuses on building up your practical skills so that you can navigate and compose custom reports like an expert data analyst. You'll learn from real examples that lead to real results.

Throughout The Applied SQL Data Analytics Workshop, you'll take an engaging step-by-step approach in order to learn data analytics with SQL. You won't have to sit through any unnecessary theory. You can jump into a single exercise each day if you're short on time, or you can spend an entire weekend tinkering with SQLAlchemy and Python. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding.

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