Thinking with Data English 2014

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 and nbsp; why and nbsp;before the and nbsp; how , through an often-overlooked set of analytical skills. Thinking with Data and nbsp;helps you learn techniques for turning data into knowledge you can use. You and rsquo;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 and rsquo;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