Summary

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

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.