An Introduction to Data Science First Edition

4.5 out of 5 stars 50 ratings
ISBN-13: 978-1506377537
ISBN-10: 150637753X
Why is ISBN important?
This bar-code number lets you verify that you're getting exactly the right version or edition of a book. The 13-digit and 10-digit formats both work.
Scan an ISBN with your phone
Use the Amazon App to scan ISBNs and compare prices.
Have one to sell?
Loading your book clubs
There was a problem loading your book clubs. Please try again.
Not in a club? Learn more
Amazon book clubs early access

Join or create book clubs

Choose books together

Track your books
Bring your club to Amazon Book Clubs, start a new book club and invite your friends to join, or find a club that’s right for you for free.
Buy new:
In Stock.
Ships from and sold by
Available at a lower price from other sellers that may not offer free Prime shipping.
21 new from $57.96
FREE delivery: Wednesday, April 21 Details
An Introduction to Data S... has been added to your Cart
Available at a lower price from other sellers that may not offer free Prime shipping.

New from James Patterson
Aaron Paul leads an all-star cast in the Black Book audio drama. Listen now

Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
  • Android
  • Windows Phone
    Windows Phone
  • Click here to download from Amazon appstore

To get the free app, enter your mobile phone number.


Frequently bought together

  • An Introduction to Data Science
  • +
  • Keeping Up with the Quants: Your Guide to Understanding and Using Analytics
  • +
  • Problem Solving Cases In Microsoft Access & Excel
Total price: $133.15
Buy the selected items together

Special offers and product promotions

Editorial Reviews

About the Author

Jeffrey S. Saltz is currently an Associate Professor at Syracuse University, in the School of Information Studies. His research and teaching focus on helping organizations leverage information technology and data for competitive advantage. Specifically, Jeff’s current research focuses on the socio-technical aspects of data science projects, such as how to coordinate and manage data science teams. In order to stay connected to the “real world”, Jeff consults with clients ranging from professional football teams to Fortune 500 organizations.

Prior to becoming a professor, Jeff’s 20+ years of industry experience focused on leveraging emerging technologies and data analytics to deliver innovative business solutions. In his last corporate role, at JPMorgan Chase, he reported to the firm′s Chief Information Officer and drove technology innovation across the organization. Jeff also held several other key technology management positions at the company, including CTO and Chief Information Architect. 

Jeff has also served as chief technology officer and principal investor at Goldman Sachs, where he invested and helped incubate technology start-ups. He started his career as a programmer, project leader and consulting engineer with Digital Equipment Corp.


Jeff holds a B.S. degree in computer science from Cornell University, an M.B.A. from The Wharton School at the University of Pennsylvania and a Ph.D. in Information Systems from the New Jersey Institute of Technology. 

Jeffrey M. Stanton, Ph.D. (University of Connecticut, 1997) is Associate Provost of Academic Affairs and Professor of Information Studies at Syracuse University. Dr. Stanton’s research focuses on organizational behavior and technology. He is the author of Information Nation: Educating the Next Generation of Information Professionals (2010), with Dr. Indira Guzman and Dr. Kathryn Stam. Stanton has also published many scholarly articles in peer-reviewed behavioral science journals, such as the Journal of Applied Psychology, Personnel Psychology, and Human Performance. His articles also appear in Journal of Computational Science Education, Computers and Security, Communications of the ACM, Computers in Human Behavior, the International Journal of Human-Computer Interaction, Information Technology and People, the Journal of Information Systems Education, the Journal of Digital Information, Surveillance and Society, and Behaviour & Information Technology. He also has published numerous book chapters on data science, privacy, research methods, and program evaluation.  Dr. Stanton’s methodological expertise is in psychometrics with published works on the measurement of job satisfaction and job stress. Dr. Stanton′s research has been supported through 18 grants and supplements including the National Science Foundation’s CAREER award.

Go ahead, give a gift card

Product details

  • Publisher : SAGE Publications, Inc; First edition (September 22, 2017)
  • Language : English
  • Paperback : 288 pages
  • ISBN-10 : 150637753X
  • ISBN-13 : 978-1506377537
  • Item Weight : 1.1 pounds
  • Dimensions : 7.38 x 0.65 x 9.13 inches
  • Customer Reviews:
    4.5 out of 5 stars 50 ratings

Customer reviews

4.5 out of 5 stars
4.5 out of 5
50 global ratings
How are ratings calculated?

Top reviews from the United States

Reviewed in the United States on March 20, 2019
Verified Purchase
Reviewed in the United States on December 28, 2019
Verified Purchase
One person found this helpful
Report abuse
Reviewed in the United States on February 4, 2020
Verified Purchase
Reviewed in the United States on November 29, 2017
Vine Customer Review of Free Product( What's this? )
8 people found this helpful
Report abuse
Reviewed in the United States on November 17, 2017
Vine Customer Review of Free Product( What's this? )
3 people found this helpful
Report abuse
Reviewed in the United States on January 3, 2018
Vine Customer Review of Free Product( What's this? )
Pages with related products. See and discover other items: big data and data visualization