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Titlebook: Data Science; Create Teams That As Doug Rose Book 2016 Doug Rose 2016 data science.team.agile.analytics.data-driven organization.data minin

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發(fā)表于 2025-3-21 17:21:59 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data Science
副標(biāo)題Create Teams That As
編輯Doug Rose
視頻videohttp://file.papertrans.cn/264/263060/263060.mp4
概述Shows how to create data science teams from existing talent in organizations.Teaches how to cost-efficiently extract maximum business value from the organizations’ data.Presents the data science life
圖書封面Titlebook: Data Science; Create Teams That As Doug Rose Book 2016 Doug Rose 2016 data science.team.agile.analytics.data-driven organization.data minin
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 datascience 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 organiza
出版日期Book 2016
關(guān)鍵詞data science; team; agile; analytics; data-driven organization; data mining; scientific method; storytellin
版次1
doihttps://doi.org/10.1007/978-1-4842-2253-9
isbn_softcover978-1-4842-2252-2
isbn_ebook978-1-4842-2253-9
copyrightDoug Rose 2016
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 23:24:17 | 只看該作者
Book 2016u through the process of creating and managing effective datascience 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 organiza
板凳
發(fā)表于 2025-3-22 04:25:22 | 只看該作者
Forming the Teamunds experimenting with your data to create knowledge. That’s the scientific method in data science. It’s an empirical process of exploration. You’ll ask good questions, gather evidence, and try to draw conclusions.
地板
發(fā)表于 2025-3-22 05:25:12 | 只看該作者
5#
發(fā)表于 2025-3-22 11:31:45 | 只看該作者
Remy Cazabet,Pierre Borgnat,Pablo Jensensoning by asking interesting questions. Next, I explore how you can find the right mindset for your team as a whole. And finally, you learn about making sense of the data and get some tips on how to find your way out of team freezes.
6#
發(fā)表于 2025-3-22 15:42:49 | 只看該作者
Lale Madahali,Lotfi Najjar,Margeret Hallit’s not valuable, the team can quickly pivot to other questions. If it is, the team can take a deeper dive and maybe even come up with questions based on feedback from the business. This feedback loop is essential in making sure that the team’s work is tied to business value.
7#
發(fā)表于 2025-3-22 17:06:15 | 只看該作者
Book 2016in 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.
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發(fā)表于 2025-3-23 01:07:06 | 只看該作者
Thinking Like a Data Science Teamsoning by asking interesting questions. Next, I explore how you can find the right mindset for your team as a whole. And finally, you learn about making sense of the data and get some tips on how to find your way out of team freezes.
9#
發(fā)表于 2025-3-23 04:31:28 | 只看該作者
Working in Sprintsit’s not valuable, the team can quickly pivot to other questions. If it is, the team can take a deeper dive and maybe even come up with questions based on feedback from the business. This feedback loop is essential in making sure that the team’s work is tied to business value.
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發(fā)表于 2025-3-23 08:02:35 | 只看該作者
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