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Building Data Science Teams [Kindle Edition]

DJ Patil
3.9 out of 5 stars  See all reviews (16 customer reviews)

Kindle Price: $0.00

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Book Description

As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success.


Topics include:
What it means to be "data driven."
The unique roles of data scientists.
The four essential qualities of data scientists.
Patil's first-hand experience building the LinkedIn data science team.



Product Details

  • File Size: 492 KB
  • Print Length: 30 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: Radar; 1 edition (September 15, 2011)
  • Sold by: Amazon Digital Services, Inc.
  • Language: English
  • ASIN: B005O4U3ZE
  • Text-to-Speech: Enabled
  • X-Ray:
  • Lending: Not Enabled
  • Amazon Best Sellers Rank: #11,416 Free in Kindle Store (See Top 100 Free in Kindle Store)
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Customer Reviews

Most Helpful Customer Reviews
5 of 5 people found the following review helpful
3.0 out of 5 stars Basic discussion November 8, 2011
By Robbie
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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2 of 2 people found the following review helpful
4.0 out of 5 stars if you are in data science, you need to read this May 10, 2012
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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1 of 1 people found the following review helpful
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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5 of 7 people found the following review helpful
5.0 out of 5 stars Great resource for data science professionals December 26, 2011
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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1.0 out of 5 stars Nothing here June 4, 2014
Format:Kindle Edition|Verified Purchase
There is no useful information here, just hype. Big data is now a popular term and companies want to recruit data scientists even though they are around all this time. If you like to learn about new hype and superfluous language for business, this book is it.
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Format:Kindle Edition|Verified Purchase
A wealth of relevant and critical information in a concise, superbly written document. A must-read for any leader considering building internal data science capabilities.
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5.0 out of 5 stars great intro to data science team building January 20, 2014
Format:Kindle Edition|Verified Purchase
This is a good fas read for the data science newbie - someone just starting out in the space. Straightforward, to the point, and useful.
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4.0 out of 5 stars Interesting way to make data products July 6, 2013
Format:Kindle Edition|Verified Purchase
It is a good book to have an idea of how data science started working on these days in our world
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Most Recent Customer Reviews
1.0 out of 5 stars Even free books are to be avoided
Very superficial, no guidelines that can be used in practice. Data Science is a hot topic so setting up a team for doing just that can be a challence-this book will not help.
Published 18 months ago by AvB
5.0 out of 5 stars Great Read
Great overview on what to look for in hiring a data scientist and overview on how a analytics driven company looks.
Published 20 months ago by Liat S.
5.0 out of 5 stars A Must Read
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... Read more
Published on July 17, 2012 by Nick Alexander
5.0 out of 5 stars Very Helpful
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.
Published on April 19, 2012 by LK
4.0 out of 5 stars Good Introduction to the Topic
I found this to be a good overview of data science teams and found the sections on what to look for in team members very helpful.
Published on March 15, 2012 by James Lee
4.0 out of 5 stars Good content, but short
I thought I was getting a free book, but it is really just a white-paper put into the e-book format. Good content, but too short.
Published on March 7, 2012 by Frequent Buyer
4.0 out of 5 stars Good background on emerging opportunity
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,... Read more
Published on March 2, 2012 by T. Patnode
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