Data Science for Business: What you need to know about data mining and data-analytic thinking (Paperback)
暫譯: 商業數據科學:您需要了解的數據挖掘與數據分析思維

Foster Provost, Tom Fawcett

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商品描述

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.

Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.

  • Understand how data science fits in your organization—and how you can use it for competitive advantage
  • Treat data as a business asset that requires careful investment if you’re to gain real value
  • Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way
  • Learn general concepts for actually extracting knowledge from data
  • Apply data science principles when interviewing data science job candidates

商品描述(中文翻譯)

由知名數據科學專家 Foster Provost 和 Tom Fawcett 所著的《商業數據科學》介紹了數據科學的基本原則,並引導您了解從所收集的數據中提取有用知識和商業價值所需的「數據分析思維」。本指南還幫助您理解當今使用的多種數據挖掘技術。

《商業數據科學》基於 Provost 在紐約大學過去十年教授的 MBA 課程,提供了真實商業問題的範例來說明這些原則。您不僅會學習如何改善商業利益相關者與數據科學家之間的溝通,還會學習如何在公司數據科學項目中智能地參與。您還將發現如何進行數據分析思考,並充分理解數據科學方法如何支持商業決策。

- 了解數據科學如何融入您的組織,以及如何利用它來獲得競爭優勢
- 將數據視為商業資產,若要獲得真正的價值,則需要謹慎投資
- 以數據分析的方式處理商業問題,使用數據挖掘過程以最合適的方式收集良好的數據
- 學習實際從數據中提取知識的一般概念
- 在面試數據科學職位候選人時應用數據科學原則