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Building Data Science Teams Kindle Edition

4.2 out of 5 stars 21 customer reviews

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Product Details

  • File Size: 1638 KB
  • Print Length: 30 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: Radar; 1 edition (September 15, 2011)
  • Publication Date: September 15, 2011
  • Sold by: Amazon Digital Services LLC
  • Language: English
  • ASIN: B005O4U3ZE
  • Text-to-Speech: Enabled
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  • Enhanced Typesetting: Not Enabled
  • Amazon Best Sellers Rank: #11,171 Free in Kindle Store (See Top 100 Free in Kindle Store)
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Customer Reviews

Top Customer Reviews

Format: Kindle Edition Verified Purchase
This book appears to be a basic discussion on the topic and not a detailed look into modern processes and techniques of setting up systems that allow an organization to be data driven. Maybe this is what the author intended ("basic discussion") but I expected more.

I cant say that I was impressed so I can only give a rating of 3.
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Format: Kindle Edition Verified Purchase
In this relatively new field of data science it's difficult to even define what is included let alone define the teams that create the results. This is a great book that clarifies both the definition of data science and the kind of teams do the work. This is a must read for people seriously in this field.
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Format: Kindle Edition Verified Purchase
Good read. Author speaking a lot from experience. Would love to see more about the practical 'how'. Whilst there are lots of references to this, I was hoping for more day-to-day how.
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Format: Kindle Edition
Especially for people involved in hiring analytic professionals. If you are interested in learning about data science and want to understand modern, innovative, state-of-the-art techniques and apply these techniques, I recommend that you download the "Data Science ebook by Analyticbridge". It's also a free book.
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Format: Kindle Edition
Really great resource for building teams/hiring. Given that the title "data scientist" is so new, hiring for the position generally has a lot of unknowns, but DJ Patil is definitely one of the few authority figures in the field with a lot of great first-hand experience to share. That, together with the fact that the book is such a quick read, makes it essential for anyone building, or thinking about building, a data driven company.
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Format: Kindle Edition Verified Purchase
With background in all the top tier users of analytics (LinkedIn, Facebook, Google) this author gives you a good overview of the fast-emerging need for data scientist, differentiates them from analysts, and helps put some context around this nascent business opportunity. If you are looking at advanced analytics and don't know about data science, it is a worthy tutorial.
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By Rakhmat on November 25, 2015
Format: Kindle Edition Verified Purchase
This book gives me great leads when i am trying to build our own Data Science team. It is still far away from the ideal, but reading his story is giving me motivation into making my own Data Science team a reality.
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By LK on April 19, 2012
Format: Kindle Edition
As a business person who sees opportunity in big data, this was a valuable starting point and I appreciated the author's insights from industry leaders like LinkedIn.
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