Data Science: Create Teams That Ask the Right Questions and Deliver Real Value
暫譯: 數據科學:建立能提出正確問題並提供實際價值的團隊

Doug Rose

  • 出版商: Apress
  • 出版日期: 2016-11-18
  • 售價: $2,520
  • 貴賓價: 9.5$2,394
  • 語言: 英文
  • 頁數: 251
  • 裝訂: Paperback
  • ISBN: 1484222520
  • ISBN-13: 9781484222522
  • 相關分類: Data Science
  • 海外代購書籍(需單獨結帳)

商品描述

Learn how to build a data science team within your organization rather than hiring from the outside. Teach your team to ask the right questions to gain actionable insights into your business.

Most organizations still focus on objectives and deliverables. Instead, a data science team is exploratory. They use the scientific method to ask interesting questions and run small experiments. Your team needs to see if the data illuminate their questions. Then, they have to use critical thinking techniques to justify their insights and reasoning. They should pivot their efforts to keep their insights aligned with business value. Finally, your team needs to deliver these insights as a compelling story.

Insight!: How to Build Data Science Teams that Deliver Real Business Value shows that the most important thing you can do now is help your team think about data. Management coach Doug Rose walks you through the process of creating and managing effective data science teams. You will learn how to find the right people inside your organization and equip them with the right mindset. The book has three overarching concepts:

  • You should mine your own company for talent. You can’t change your organization by hiring a few data science superheroes.
  • You should form small, agile-like data teams that focus on delivering valuable insights early and often.
  • You can make real changes to your organization by telling compelling data stories. These stories are the best way to communicate your insights about your customers, challenges, and industry.

What Your Will Learn:
  • Shows project managers and team leaders how to create data science teams from existing talent in their organizations to cost-efficiently extract maximum business value from their organizations’ data
  • Introduces managers to key data science terms and concepts 
  • Gives practical guidance on how to create and integrate an effective data science team with key roles and the responsibilities for each team member 
  • Presents the data science life cycle (DSLC) to model essential processes and practices for delivering value
  • Details the use of sprints and storytelling to help the team stay on track and adapt to new knowledge

Who This Book Is For

Data science project managers and team leaders. The secondary readership is data scientists, DBAs, analysts, senior management, HR managers, and performance specialists.

商品描述(中文翻譯)

學習如何在您的組織內部建立數據科學團隊,而不是從外部招聘。教導您的團隊提出正確的問題,以獲得可行的商業洞察。

大多數組織仍然專注於目標和交付成果。然而,數據科學團隊則是探索性的。他們使用科學方法來提出有趣的問題並進行小型實驗。您的團隊需要檢視數據是否能夠解答他們的問題。然後,他們必須使用批判性思維技術來證明他們的洞察和推理。他們應該調整他們的努力,以確保他們的洞察與商業價值保持一致。最後,您的團隊需要將這些洞察以引人入勝的故事呈現出來。

《Insight!: How to Build Data Science Teams that Deliver Real Business Value》顯示,您現在能做的最重要的事情是幫助您的團隊思考數據。管理教練 Doug Rose 將引導您創建和管理有效的數據科學團隊的過程。您將學習如何在您的組織內找到合適的人才,並賦予他們正確的心態。這本書有三個主要概念:

- 您應該在自己的公司中挖掘人才。您無法通過招聘幾位數據科學超級英雄來改變您的組織。
- 您應該組建小型、敏捷的數據團隊,專注於早期和頻繁地提供有價值的洞察。
- 您可以通過講述引人入勝的數據故事來對您的組織進行真正的改變。這些故事是傳達您對客戶、挑戰和行業洞察的最佳方式。

您將學到的內容:

- 向項目經理和團隊領導者展示如何從現有的人才中創建數據科學團隊,以高效地從組織的數據中提取最大商業價值。
- 向管理者介紹關鍵的數據科學術語和概念。
- 提供實用指導,說明如何創建和整合一個有效的數據科學團隊,並為每位團隊成員定義關鍵角色和責任。
- 提出數據科學生命週期(DSLC),以建模提供價值的基本流程和實踐。
- 詳細說明如何使用短衝刺和故事講述來幫助團隊保持正軌並適應新知識。

本書的讀者對象:

數據科學項目經理和團隊領導者。次要讀者包括數據科學家、資料庫管理員(DBA)、分析師、高級管理層、人力資源經理和績效專家。