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Tackle the data science process step-by-step
Brian Godsey
  • March 2017
  • ISBN 9781633430273
  • 328 pages
  • printed in black & white
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team

monthly
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$49.99
$499.99
only $41.67 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free eBook every time you renew
  • choose twelve free eBooks per year
  • exclusive 50% discount on all purchases
  • Think Like a Data Scientist eBook for free

Explains difficult concepts and techniques concisely and approachably.

Jenice Tom, CVS Health
Look inside

Think Like a Data Scientist presents a step-by-step approach to data science, combining analytic, programming, and business perspectives into easy-to-digest techniques and thought processes for solving real world data-centric problems.

about the technology

Data collected from customers, scientific measurements, IoT sensors, and so on is valuable only if you understand it. Data scientists revel in the interesting and rewarding challenge of observing, exploring, analyzing, and interpreting this data. Getting started with data science means more than mastering analytic tools and techniques, however; the real magic happens when you begin to think like a data scientist. This book will get you there.

about the book

Think Like a Data Scientist teaches you a step-by-step approach to solving real-world data-centric problems. By breaking down carefully crafted examples, you'll learn to combine analytic, programming, and business perspectives into a repeatable process for extracting real knowledge from data. As you read, you'll discover (or remember) valuable statistical techniques and explore powerful data science software. More importantly, you'll put this knowledge together using a structured process for data science. When you've finished, you'll have a strong foundation for a lifetime of data science learning and practice.

what's inside

  • The data science process, step-by-step
  • How to anticipate problems
  • Dealing with uncertainty
  • Best practices in software and scientific thinking

about the reader

Readers need beginner programming skills and knowledge of basic statistics.

about the author

Brian Godsey has worked in software, academia, finance, and defense and has launched several data-centric start-ups.

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Goes beyond simple tools and techniques and helps you to conceptualize and solve challenging, real-world data science problems.

Casimir Saternos, Synchronoss Technologies

A successful attempt to put the mind of a data scientist on paper.

David Krief, Altansia

The book that changed my career path!

Nicolas Boulet-Lavoie, DL Innov
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