• Complain

Linoff - Data Analysis Using SQL and Excel

Here you can read online Linoff - Data Analysis Using SQL and Excel full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2015, publisher: Wiley, genre: Children. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

Linoff Data Analysis Using SQL and Excel
  • Book:
    Data Analysis Using SQL and Excel
  • Author:
  • Publisher:
    Wiley
  • Genre:
  • Year:
    2015
  • Rating:
    3 / 5
  • Favourites:
    Add to favourites
  • Your mark:
    • 60
    • 1
    • 2
    • 3
    • 4
    • 5

Data Analysis Using SQL and Excel: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Data Analysis Using SQL and Excel" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

A practical guide to data mining using SQL and ExcelData Analysis Using SQL and Excel, 2nd Editionshows you how to leverage the two most popular tools for data query and analysis--SQL and Excel--to perform sophisticated data analysis without the need for complex and expensive data mining tools. Written by a leading expert on business data mining, this book shows you how to extract useful business information from relational databases. Youll learn the fundamental techniques before moving into the where and why of each analysis, and then learn how to design and perform these analyses using SQL and Excel. Examples include SQL and Excel code, and the appendix shows how non-standard constructs are implemented in other major databases, including Oracle and IBM DB2/UDB. The companion website includes datasets and Excel spreadsheets, and the book provides hints, warnings, and technical asides to help you every step of the way.
Data Analysis Using SQL and Excel, 2nd Editionshows you how to perform a wide range of sophisticated analyses using these simple tools, sparing you the significant expense of proprietary data mining tools like SAS.
Understand core analytic techniques that work with SQL and Excel Ensure your analytic approach gets you the results you need Design and perform your analysis using SQL and ExcelData Analysis Using SQL and Excel, 2nd Editionshows you how to best use the tools you already know to achieve expert results.

Linoff: author's other books


Who wrote Data Analysis Using SQL and Excel? Find out the surname, the name of the author of the book and a list of all author's works by series.

Data Analysis Using SQL and Excel — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Data Analysis Using SQL and Excel" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make
Data Analysis Using SQL and Excel Second Edition Published by John Wiley - photo 1

Data Analysis Using SQL and Excel, Second Edition

Published by
John Wiley & Sons, Inc.
10475 Crosspoint Boulevard
Indianapolis, IN 46256
www.wiley.com

Copyright 2016 by John Wiley & Sons, Inc., Indianapolis, Indiana
Published simultaneously in Canada

ISBN: 978-1-119-02143-8

ISBN: 978-1-119-02145-2 (ebk)

ISBN: 978-1-119-02144-5 (ebk)

No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 646-8600. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permissions.

Limit of Liability/Disclaimer of Warranty: The publisher and the author make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation warranties of fitness for a particular purpose. No warranty may be created or extended by sales or promotional materials. The advice and strategies contained herein may not be suitable for every situation. This work is sold with the understanding that the publisher is not engaged in rendering legal, accounting, or other professional services. If professional assistance is required, the services of a competent professional person should be sought. Neither the publisher nor the author shall be liable for damages arising herefrom. The fact that an organization or Web site is referred to in this work as a citation and/or a potential source of further information does not mean that the author or the publisher endorses the information the organization or website may provide or recommendations it may make. Further, readers should be aware that Internet websites listed in this work may have changed or disappeared between when this work was written and when it is read.

For general information on our other products and services please contact our Customer Care Department within the United States at (877) 762-2974, outside the United States at (317) 572-3993 or fax (317) 572-4002.

Wiley publishes in a variety of print and electronic formats and by print-on-demand. Some material included with standard print versions of this book may not be included in e-books or in print-on-demand. If this book refers to media such as a CD or DVD that is not included in the version you purchased, you may download this material at http://booksupport.wiley.com. For more information about Wiley products, visit www.wiley.com.

Library of Congress Control Number: 2015950486

Trademarks: Wiley and the Wiley logo are trademarks or registered trademarks of John Wiley & Sons, Inc. and/or its affiliates, in the United States and other countries, and may not be used without written permission. Excel is a registered trademark of Microsoft Corporation. All other trademarks are the property of their respective owners. John Wiley & Sons, Inc. is not associated with any product or vendor mentioned in this book.

To Giuseppefor twenty five years, five books, and counting...

About the Author

Gordon S. Linoff has been working with databases, big data, and data mining for almost longer than he can remember. With decades of experience on the practice of using data effectively, he is a recognized expert in the field of data mining.

Gordon started using spreadsheets while a student at MIT, on the original Compaq Portable, the world's first luggable computer. Not very many years later, he managed a development group at the now-defunct Thinking Machines Corporation, tasked with building a massively parallel relational database for decision support.

After Thinking Machines' demise, he founded Data Miners in 1998 with his friend and former colleague Michael J. A. Berry (who left in 2012). Since then, he has worked on a wide diversity of projects across many different companies. He has taught hundreds of classes around the world on data mining and survival analysis through SAS Institute, a leader in statistical and business analytics software. He is also an avid contributor to Stack Overflow, particularly on questions related to databases, having the highest score in 2014.

Together with Michael Berry, Gordon has written several influential books on data mining, including Data Mining Techniques for Marketing, Sales, and Customer Support, the first book on data mining to achieve a third edition.

Gordon lives in New York with Giuseppe Scalia, his partner of 25 years.

Credits

Project Editor
John Sleeva

Technical Editor
Michael Berry

Production Editor
Dassi Zeidel

Copy Editor
Mike La Bonne

Manager of Content Development & Assembly
Mary Beth Wakefield

Marketing Director
David Mayhew

Marketing Manager
Carrie Sherrill

Professional Technology & Strategy Director
Barry Pruett

Business Manager
Amy Knies

Associate Publisher
Jim Minatel

Project Coordinator, Cover
Brent Savage

Proofreader
Sara Wilson

Indexer
Johnna VanHoose Dinse

Cover Designer
Wiley

Cover Image
iStock.com/Nobi_Prizue

Acknowledgments

Although this book has only one name on the cover, many people have helped me both specifically on this book and more generally in understanding data, analysis, and presentation.

I first met Michael Berry in 1990. We later founded Data Miners together, and he has been helpful on all fronts. He reviewed the chapters, tested the SQL code in the examples, and helped anonymize the data. His insights have been helpful and his debugging skills have made the examples much more accurate. His wife, Stephanie Jack, also deserves special praise for her patience and willingness to share Michael's time.

The original idea for the book came from Nick Drake, who then worked at Datran Media. A statistician by training, Nick was looking for a book that would help him use databases for data analysis. Bob Elliott, at the time my editor at Wiley, liked the idea.

Throughout the chapters, the understanding of data processing is based on dataflows, which Craig Stanfill of Ab Initio Corporation first introduced me to long ago when we worked together at Thinking Machines Corporation.

Along the way, I have learned a lot from many people. Anne Milley of SAS Institute first suggested that I learn survival analysis. Will Potts, now working at CapitalOne, then taught me much of what I know about the subject. Brij Masand helped extend the ideas to practical forecasting applications. Chi Kong Ho and his team at the New York Times provided valuable feedback for applying survival analysis to customer value calculations.

Stuart Ward from the New York Times and Zaiying Huang spent countless hours explaining and discussing statistical concepts. Harrison Sohmer, also of the New York Times, taught me many Excel tricks, some of which I've been able to include in the book.

Jamie MacLennan and the SQL Server team at Microsoft have been helpful in answering my questions about the product.

Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Data Analysis Using SQL and Excel»

Look at similar books to Data Analysis Using SQL and Excel. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «Data Analysis Using SQL and Excel»

Discussion, reviews of the book Data Analysis Using SQL and Excel and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.