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.
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Most Helpful Customer Reviews
5 of 5 people found the following review helpful
By Robbie
Amazon 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.
I cant say that I was impressed so I can only give a rating of 3.
1 of 1 people found the following review helpful
By Corrinne
Amazon 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.
5 of 7 people found the following review helpful
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.
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 3 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 5 months ago by Liat S.
3.0 out of 5 stars
Short, easy read. Nice overview of 'what' not enough 'how'
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... Read more
Published 5 months ago by Sherif Mansour
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 10 months ago 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 13 months ago 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 14 months ago 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 14 months ago 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 14 months ago by T. Patnode
5.0 out of 5 stars
Well worth it!
A must have for anyone interested in growing a business. With the current direction of the market, getting acquainted with the process of managing data is a priority. Read more
Published 14 months ago by bodenkur
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