Thinking with Data: How to Turn Information into Insights (Paperback)
Max Shron
- 出版商: O'Reilly
- 出版日期: 2014-03-04
- 定價: $1,050
- 售價: 9.5 折 $998
- 貴賓價: 9.0 折 $945
- 語言: 英文
- 頁數: 94
- 裝訂: Paperback
- ISBN: 1449362931
- ISBN-13: 9781449362935
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相關分類:
大數據 Big-data、Data Science
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商品描述
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
商品描述(中文翻譯)
許多分析師過於關注清理、建模和視覺化數據集的工具和技術,而忽略了提出正確問題的重要性。在這本實用指南中,數據策略顧問Max Shron向您展示如何先從「為什麼」開始,再著手「如何」,透過一組常被忽視的分析技能。
《思考數據》幫助您學習將數據轉化為可用的知識的技巧。您將學習一個定義項目的框架,包括您想要收集的數據,以及您打算如何處理、組織和分析結果。您還將學習一些推理模式,這些模式將幫助您揭示真正需要解決的問題。
- 學習數據項目範圍的框架
- 了解如何明確表達一個想法的細節,接受反饋並開始原型設計
- 使用論證工具提出良好的問題,分階段建立項目並傳達結果
- 探索數據特定的推理模式,並學習如何構建更有用的論證
- 深入研究因果推理,並了解它在數據工作中的普遍存在
- 將所有內容結合起來,通過擴展示例看到完整問題思考方法的應用