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Doing Data Science
Now that people are aware that data can make the
difference in an election or a business model, data
science as an occupation is gaining ground. But
how can you get started working in a wide-ranging,
interdisciplinary field that’s so clouded in hype? This
insightful book, based on Columbia University’s
Introduction to Data Science class, tells you what you
need to know.
In many of these chapter-long lectures, data scientists
from companies such as Google, Microsoft, and
eBay share new algorithms, methods, and models
by presenting case studies and the code they use.
If you’re familiar with linear algebra, probability, and
statistics, and have programming experience, this
book is an ideal introduction to data science.
Topics include:
■
Cathy O’Neil,
a senior data
scientist at Johnson Research
Labs, earned a Ph.D. in math
from Harvard, and was a postdoc
in the math department at MIT
and a professor at Barnard
College.
Rachel Schutt,
Senior VP of
Data Science at News Corp, is
an adjunct professor of statistics
at Columbia University, and
a founding member of CU’s
Education Committee for the
Institute for Data Sciences and
Engineering.
Statistical inference, exploratory data
analysis, and the data science process
Algorithms
Spam filters, Naive Bayes, and data
wrangling
Logistic regression
Financial modeling
Recommendation engines and causality
Data visualization
Social networks and data journalism
Data engineering, MapReduce, Pregel,
and Hadoop
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DATABA SES / DATA
Twitter: @oreillymedia
facebook.com/oreilly
CAN $47.99
US $44.99
ISBN: 978-1-449-35865-5
Doing Data Science
Cathy O’Neil and Rachel Schutt
Doing Data Science
by Cathy O’Neil and Rachel Schutt
Copyright © 2014 Cathy O’Neil and Rachel Schutt. 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://safaribooksonline.com). For
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or
corporate@oreilly.com.
Editors:
Mike Loukides and Courtney
Production Editor:
Kristen Brown
Copyeditor:
Kim Cofer
Proofreader:
Amanda Kersey
October 2013:
First Edition
Nash
Indexer:
WordCo Indexing Services
Cover Designer:
Karen Montgomery
Interior Designer:
David Futato
Illustrator:
Rebecca Demarest
Revision History for the First Edition:
2013-10-08:
2013-12-13:
2014-10-10:
First release
Second release
Third release
See
http://oreilly.com/catalog/errata.csp?isbn=9781449358655
for release details.
Nutshell Handbook, the Nutshell Handbook logo, and the O’Reilly logo are registered
trademarks of O’Reilly Media, Inc.
Doing Data Science,
the image of a nine-banded
armadillo, and related trade dress are trademarks of O’Reilly Media, Inc.
Many of the designations used by manufacturers and sellers to distinguish their prod‐
ucts 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.
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: 978-1-449-35865-5
[LSI]
In loving memory of Kelly Feeney.

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