Thinking with data : [how to turn information into insights 🔍
Shron, Max O'Reilly Media, O'Reilly Media, Sebastopol, CA, 2014
英语 [en] · PDF · 10.1MB · 2014 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save
描述
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
备用文件名
lgli/Max Shron;Thinking with Data;;;O'Reilly Media; 2014;978-1449362935;;English.pdf
备用文件名
lgrsnf/Max Shron;Thinking with Data;;;O'Reilly Media; 2014;978-1449362935;;English.pdf
备用文件名
zlib/Business & Economics/Management & Leadership/Max Shron/Thinking with Data: How to Turn Information into Insights_2548933.pdf
备选作者
Max Shron
备用出版商
O'Reilly Media, Incorporated
备用出版商
Reilly - O'Reilly Media
备用版本
United States, United States of America
备用版本
Beijing [etc, 2014
备用版本
1, PS, 2014
元数据中的注释
lg1356733
元数据中的注释
{"isbns":["1449362931","9781449362935"],"last_page":92,"publisher":"O'Reilly Media"}
备用描述
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 projectsUnderstand how to pin down the details of an idea, receive feedback, and begin prototypingUse the tools of arguments to ask good questions, build projects in stages, and communicate resultsExplore data-specific patterns of reasoning and learn how to build more useful argumentsDelve into causal reasoning and learn how it permeates data workPut everything together, using extended examples to see the method of full problem thinking in action
备用描述
many analysts are too concerned with tools and techniques for cleansing, modeling and visualizing data seats and not concerned enough with asking questions. in this way practicable guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of analytical skills.
备用描述
Techniques for turning data into usable knowledge. Learn how to use a framework for defining a project, including what data needs to be collected and how to approach, organize and analyze the results
开源日期
2015-05-27
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