Thinking with Data : How to Turn Information into Insights. This item is unavailable.
Language: English
Published by O'Reilly Media, Incorporated, 2014
- First Edition
- Softcover
- Used

Seller: Better World Books: West, Reno, NV, U.S.A.Better World Books: West
AbeBooks seller since March 14, 2016
Condition: Used - Very good
US$ 11.00
Item description from seller
Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Seller Inventory # 18543530-6
- Title
- Thinking with Data : How to Turn Information into Insights
- Author
- Shron, Max
- Publisher
- O'Reilly Media, Incorporated
- Publication year
- 2014
- Condition
- Very Good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1449362931
- ISBN 13
- 9781449362935
- Edition
- 1st Edition.
- Item weight
- 0.335 pounds
- Dimensions
- N/A
Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of analytical skills.
Thinking with Data helps you learn techniques for turning data into knowledge you can use. You’ll learn a framework for defining your project, including the data you want to collect, and how you intend to approach, organize, and analyze the results. You’ll also learn patterns of reasoning that will help you unveil the real problem that needs to be solved.
- Learn a framework for scoping data projects
- Understand how to pin down the details of an idea, receive feedback, and begin prototyping
- Use the tools of arguments to ask good questions, build projects in stages, and communicate results
- Explore data-specific patterns of reasoning and learn how to build more useful arguments
- Delve into causal reasoning and learn how it permeates data work
- Put everything together, using extended examples to see the method of full problem thinking in action
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About the Author
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