I need this assignment done with the answers written out for each question on microsoft word. I have attached the PDF version of the textbook for guidance as well.
Data Science for Business Praise “A must-read resource for anyone who is serious about embracing the opportunity of big data.” — Craig Vaughan Global Vice President at SAP “This timely book says out loud what has finally become apparent: in the modern world, Data is Business, and you can no longer think business without thinking data. Read this book and you will understand the Science behind thinking data.” — Ron Bekkerman Chief Data Officer at Carmel Ventures “A great book for business managers who lead or interact with data scientists, who wish to better understand the principles and algorithms available without the technical details of single-disciplinary books.” — Ronny Kohavi Partner Architect at Microsoft Online Services Division “Provost and Fawcett have distilled their mastery of both the art and science of real-world data analysis into an unrivalled introduction to the field.” — Geoff Webb Editor-in-Chief of Data Mining and Knowledge Discovery Journal “I would love it if everyone I had to work with had read this book.” — Claudia Perlich Chief Scientist of Dstillery and Advertising Research Foundation Innovation Award Grand Winner (2013) “A foundational piece in the fast developing world of Data Science. A must read for anyone interested in the Big Data revolution." — Justin Gapper Business Unit Analytics Manager at Teledyne Scientific and Imaging “The authors, both renowned experts in data science before it had a name, have taken a complex topic and made it accessible to all levels, but mostly helpful to the budding data scientist. As far as I know, this is the first book of its kind—with a focus on data science concepts as applied to practical business problems. It is liberally sprinkled with compelling real-world examples outlining familiar, accessible problems in the business world: customer churn, targeted marking, even whiskey analytics! The book is unique in that it does not give a cookbook of algorithms, rather it helps the reader understand the underlying concepts behind data science, and most importantly how to approach and be successful at problem solving. Whether you are looking for a good comprehensive overview of data science or are a budding data scientist in need of the basics, this is a must-read.” — Chris Volinsky Director of Statistics Research at AT&T Labs and Winning Team Member for the $1 Million Netflix Challenge “This book goes beyond data analytics 101. It’s the essential guide for those of us (all of us?) whose businesses are built on the ubiquity of data opportunities and the new mandate for data-driven decision-making.” — Tom Phillips CEO of Dstillery and Former Head of Google Search and Analytics “Intelligent use of data has become a force powering business to new levels of competitiveness. To thrive in this data-driven ecosystem, engineers, analysts, and managers alike must understand the options, design choices, and tradeoffs before them. With motivating examples, clear exposition, and a breadth of details covering not only the “hows” but the “whys”, Data Science for Business is the perfect primer for those wishing to become involved in the development and application of data-driven systems.” — Josh Attenberg Data Science Lead at Etsy “Data is the foundation of new waves of productivity growth, innovation, and richer customer insight. Only recently viewed broadly as a source of competitive advantage, dealing well with data is rapidly becoming table stakes to stay in the game. The authors’ deep applied experience makes this a must read—a window into your competitor’s strategy.” — Alan Murray Serial Entrepreneur; Partner at Coriolis Ventures “One of the best data mining books, which helped me think through various ideas on liquidity analysis in the FX business. The examples are excellent and help you take a deep dive into the subject! This one is going to be on my shelf for lifetime!” — Nidhi Kathuria Vice President of FX at Royal Bank of Scotland “An excellent and accessible primer to help businessfolk better appreciate the concepts, tools and techniques employed by data scientists… and for data scientists to better appreciate the business context in which their solutions are deployed.” — Joe McCarthy Director of Analytics and Data Science at Atigeo “In my opinion it is the best book on Data Science and Big Data for a professional understanding by business analysts and managers who must apply these techniques in the practical world.” — Ira Laefsky MS Engineering (Computer Science)/MBA Information Technology and Human Computer Interaction Researcher formerly on the Senior Consulting Staff of Arthur D. Little, Inc. and Digital Equipment Corporation “With motivating examples, clear exposition and a breadth of details covering not only the “hows” but the “whys,” Data Science for Business is the perfect primer for those wishing to become involved in the development and application of data driven systems.” — Ted O’Brien Co-Founder / Director of Talent Acquisition at Starbridge Partners and Publisher of the Data Science Report Foster Provost and Tom Fawcett Data Science for Business Data Science for Business by Foster Provost and Tom Fawcett Copyright © 2013 Foster Provost and Tom Fawcett. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://my.safaribooksonline.com). 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[email protected]. Editors: Mike Loukides and Meghan Blanchette Production Editor: Christopher Hearse Proofreader: Kiel Van Horn Indexer: WordCo Indexing Services, Inc. Cover Designer: Mark Paglietti Interior Designer: David Futato Illustrator: Rebecca Demarest July 2013: First Edition Revision History for the First Edition: 2013-07-25: First release 2013-12-19: Second release See http://oreilly.com/catalog/errata.csp?isbn=9781449361327 for release details. The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Many of the designations used by man‐ ufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and O’Reilly Media, Inc., was aware of a trademark claim, the designations have been printed in caps or initial caps. Data Science for Business is a trademark of Foster Provost and Tom Fawcett. While every precaution has been taken in the preparation of this book, the publisher and authors assume no responsibility for errors or omissions, or for damages resulting from the use of the information contained herein. ISBN: 978-1-449-36132-7 [LSI] http://my.safaribooksonline.com/?portal=oreilly mailto:
[email protected] http://oreilly.com/catalog/errata.csp?isbn=9781449361327 For our fathers. Table of Contents Preface. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xiii 1. Introduction: Data-Analytic Thinking. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 The Ubiquity of Data Opportunities 1 Example: Hurricane Frances 3 Example: Predicting Customer Churn 4 Data Science, Engineering, and Data-Driven Decision Making 4 Data Processing and “Big Data” 7 From Big Data 1.0 to Big Data 2.0 8 Data and Data Science Capability as a Strategic Asset 9 Data-Analytic Thinking