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.
- 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.
Explains difficult concepts and techniques concisely and approachably.
- Jenice Tom, CVS Health
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
Table of contents
- Brief Table of Contents
- Table of Contents
- About this Book
- About the Cover Illustration
- Part 1. Preparing and gathering data and knowledge
- Part 2. Building a product with software and statistics
- Part 3. Finishing off the product and wrapping up
- Appendix. Exercises: Examples and Answers
- The lifecycle of a data science project
- List of Figures
- List of Tables
- Title: Think Like a Data Scientist
- Release date: March 2017
- Publisher(s): Manning Publications
- ISBN: 9781633430273
You might also like
Doing Data Science
Now that people are aware that data can make the difference in an election or a …
Analytical Skills for AI and Data Science
While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, …
Practical Statistics for Data Scientists
Statistical methods are a key part of of data science, yet very few data scientists have …
Data Science for Business
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces …