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Principles of Data Science
Learn the techniques and math you need to start
making sense of your data
Sinan Ozdemir
BIRMINGHAM - MUMBAI
Principles of Data Science
Copyright © 2016 Packt Publishing
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However, Packt Publishing cannot guarantee the accuracy of this information.
First published: December 2016
Production reference: 1121216
Published by Packt Publishing Ltd.
Livery Place
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Birmingham B3 2PB, UK.
ISBN 978-1-78588-791-8
www.packtpub.com
Credits
Author
Sinan Ozdemir
Reviewers
Samir Madhavan
Oleg Okun
Acquisition Editor
Sonali Vernekar
Content Development Editor
Samantha Gonsalves
Technical Editor
Anushree Arun Tendulkar
Copy Editor
Shaila Kusanale
Cover Work
Melwyn Dsa
Production Coordinator
Melwyn Dsa
Graphics
Jason Monteiro
Project Coordinator
Devanshi Doshi
Proofreaders
Safis Editing
Indexer
Tejal Daruwale Soni
About the Author
Francisco Bay Area with his dog, Charlie; cat, Euclid; and bearded dragon, Fiero. He
spent his academic career studying pure mathematics at Johns Hopkins University
before transitioning to education. He spent several years conducting lectures on data
science at Johns Hopkins University and at the General Assembly before founding
his own start-up, Legion Analytics, which uses artificial intelligence and data science
to power enterprise sales teams.
After completing the Fellowship at the Y Combinator accelerator, Sinan has spent
most of his days working on his fast-growing company, while creating educational
material for data science.
I would like to thank my parents and my sister for supporting me
through life, and also, my various mentors, including Dr. Pam Sheff
of Johns Hopkins University and Nathan Neal, the chapter adviser of
my collegiate leadership fraternity, Sigma Chi.
Thank you to Packt Publishing for giving me this opportunity to
share the principles of data science and my excitement for how this
field will impact all of our lives in the coming years.
Sinan Ozdemir
is a data scientist, startup founder, and educator living in the San
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