P R.E S E N T S              .

Data Science

DATE: 2019-07-18  SIZE: 1.92 MB    DISKS: 1x 10MB     PAGES: n/a

PUBLISHER: Apress                            GENRE:

AUTHOR: Doug Rose

FORMAT: EPUB  PROTECTION: DRM  EDITION: n/a

URL: https://is.gd/ZWmX9K

LANGUAGE: English   ISBN: 9781484222539

: Learn how to build a data science team within your organization rather tha :
: hiring from the outside. Teach your team to ask the right questions to gai :
: 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 bes :
: way to communicate your insights about your customers, challenges, and     :
: industry. What Your Will Learn: Create data science teams from existing    :
: talent in your organization to cost-efficiently extract maximum business   :
: value from your organization's data Understand key data science terms and  :
: concepts Follow practical guidance to create and integrate an effective    :
: data science team with key roles and the responsibilities for each team    :
: member Utilize the data science life cycle (DSLC) to model essential       :
: processes and practices for delivering value Use sprints and storytelling  :
: to help your team stay on track and adapt to new knowledge Who This Book I :
: For Data science project managers and team leaders. The secondary          :
: readership is data scientists, DBAs, analysts, senior management, HR       :
: managers, and performance specialists.                                     :

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