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Practical Statistics for Data Scientists 50 Essential Concepts Using R and Python by Peter Bruce Andrew Bruce Peter Gedeck

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Practical Statistics for Data Scientists 50 Essential Concepts Using R and Python by Peter Bruce Andrew Bruce Peter Gedeck

Institution
Foundations Of Statistics
Course
Foundations Of Statistics

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Studyclock




Se dit
E
co ion
nd
Practical
Statistics
for Data Scientists
50+ Essential Concepts Using R and Python




Peter Bruce, Andrew Bruce
& Peter Gedeck

,Studyclock

,Studyclock




SECOND EDITION


Practical Statistics for
Data Scientists
50+ Essential Concepts Using R and Python




Peter Bruce, Andrew Bruce, and Peter Gedeck




Beijing Boston Farnham Sebastopol Tokyo

, Studyclock

Practical Statistics for Data Scientists
by Peter Bruce, Andrew Bruce, and Peter Gedeck
Copyright © 2020 Peter Bruce, Andrew Bruce, and Peter Gedeck. 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://oreilly.com). For more information, contact our corporate/institutional
sales department: 800-998-9938 or .

Editor: Nicole Tache Indexer: Ellen Troutman-Zaig
Production Editor: Kristen Brown Interior Designer: David Futato
Copyeditor: Piper Editorial Cover Designer: Karen Montgomery
Proofreader: Arthur Johnson Illustrator: Rebecca Demarest

May 2017: First Edition
May 2020: Second Edition

Revision History for the Second Edition
2020-04-10: First Release

See http://oreilly.com/catalog/errata.csp?isbn=9781492072942 for release details.

The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Practical Statistics for Data Scientists,
the cover image, and related trade dress are trademarks of O’Reilly Media, Inc.
The views expressed in this work are those of the authors, and do not represent the publisher’s views.
While the publisher and the authors have used good faith efforts to ensure that the information and
instructions contained in this work are accurate, the publisher and the authors disclaim all responsibility
for errors or omissions, including without limitation responsibility for damages resulting from the use of
or reliance on this work. Use of the information and instructions contained in this work is at your own
risk. If any code samples or other technology this work contains or describes is subject to open source
licenses or the intellectual property rights of others, it is your responsibility to ensure that your use
thereof complies with such licenses and/or rights.




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Foundations Of Statistics
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Foundations Of Statistics

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