Thinking with Data: How to Turn Information into Insights
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
1141645834
Thinking with Data: How to Turn Information into Insights
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
34.99 In Stock
Thinking with Data: How to Turn Information into Insights

Thinking with Data: How to Turn Information into Insights

by Max Shron
Thinking with Data: How to Turn Information into Insights
Add to Wishlist
Thinking with Data: How to Turn Information into Insights

Thinking with Data: How to Turn Information into Insights

by Max Shron

Overview

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

Product Details

ISBN-13: 9781449362935
Publisher: O'Reilly Media, Incorporated
Publication date: 02/11/2014
Pages: 91
Product dimensions: 5.90(w) x 8.90(h) x 0.40(d)

About the Author

Max Shron runs a small data strategy consultancy in New York, working with many organizations to help them get the most out of their data. His analyses of transit, public health, and housing markets has been featured in The New York Times, Chicago Tribune, Huffington Post, WNYC, and more. Prior to becoming a data strategy consultant, he was the data scientist for OkCupid.

Table of Contents

Preface vii

1 Scoping: Why Before How 1

2 What Next? 17

3 Arguments 31

4 Patterns of Reasoning 43

5 Causality 57

6 Putting It All Together 67

A Further Reading 77

From the B&N Reads Blog
Page 1 of

Customer Reviews