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Jeffrey S. Saltz - An Introduction to Data Science

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Jeffrey S. Saltz An Introduction to Data Science

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An Introduction to Data Science by Jeffrey S. Saltz and Jeffrey M. Stanton is an easy-to-read, gentle introduction for people with a wide range of backgrounds into the world of data science. Needing no prior coding experience or a deep understanding of statistics, this book uses the R programming language and RStudio platform to make data science welcoming and accessible for all learners. After introducing the basics of data science, the book builds on each previous concept to explain R programming from the ground up. Readers will learn essential skills in data science through demonstrations of how to use data to construct models, predict outcomes, and visualize data.

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An Introduction to Data Science
An Introduction to Data Science Jeffrey S Saltz - photo 1
An Introduction to Data Science
  • Jeffrey S. Saltz
  • Syracuse University
  • Jeffrey M. Stanton
  • Syracuse University
An Introduction to Data Science - image 2
An Introduction to Data Science - image 3

FOR INFORMATION:

SAGE Publications, Inc.

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Copyright 2018 by SAGE Publications, Inc.

All rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the publisher.

All trademarks depicted within this book, including trademarks appearing as part of a screenshot, figure, or other image are included solely for the purpose of illustration and are the property of their respective holders. The use of the trademarks in no way indicates any relationship with, or endorsement by, the holders of said trademarks. RStudio and Shiny are trademarks of RStudio, Inc.

The R Foundation owns the copyright to R software and licenses it under the GNU General Public License 2.0, https://www.r-project.org/COPYING . The R content depicted in this book is included solely for purposes of illustration and is owned by The R Foundation and in no way indicates any relationship with, or endorsement by The R Foundation. The R software logo as it appears in this book is available at https://www.r-project.org/logo/ and is copyright protected by The R Foundation and licensed under Creative Commons Attribution- ShareAlike 4.0 International license (CC-BY-SA 4.0) https://creativecommons.org/licenses/by-sa/4.0/ .

Printed in the United States of America

Library of Congress Cataloging-in-Publication Data

Names: Saltz, Jeffrey S., author. | Stanton, Jeffrey M., 1961- author.

Title: An introduction to data science / Jeffrey S. SaltzSyracuse University, Jeffrey M. StantonSyracuse University, USA.

Description: First edition. | Los Angeles : SAGE, [2018] | Includes bibliographical references and index.

Identifiers: LCCN 2017011487 | ISBN 9781506377537 (pbk. : alk. paper)

Subjects: LCSH: Databases. | R (Computer program language)

Classification: LCC QA76.9.D32 S38 2018 | DDC 005.74dc23 LC record available at https://lccn.loc.gov/2017011487

This book is printed on acid-free paper.

An Introduction to Data Science - image 4

Acquisitions Editor: Leah Fargotstein

Content Development Editor: Laura Kirkhuff

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Cover Designer: Michael Dubowe

Marketing Manager: Susannah Goldes

Preface

Welcome to Introduction to Data Science! This book began as the key ingredient to one of those massive open online courses, or MOOCs, and was written from the start to welcome people with a wide range of backgrounds into the world of data science.

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