Data Scientist: The
Sexiest Job of the 21st
Century
by Thomas H. Davenport and D.J. Patil
Presented by
Nishant Kumar
 Name of the article: Data Scientist- The sexiest job
of the 21st century.
 Authors : Thomas H. Davenport & D.J.
Patil
 Edition : October 2012
 Source : Harvard Business Review
 Two most important insight
from the article .
 Why / How these insight are
useful to a manager in India.
 Conclusion
Data Scientists are the people
who understands how to fish
out the answers to Business
Questions from todays
Tsunami of unstructured data.
“IBM Predicts Demand For
Data Scientists Will Soar
28% By 2020”
 Data science is the study of the generalizable
extraction of knowledge from data.
 It builds on techniques and theories from
many fields, including
 Mathematics,
 Probability models ,
 Statistical learning,
 Computer programming,
 Data engineering,
 Pattern recognition and learning,
 Visualization & Data Warehousing.
 A “Data scientist” is a business expert.
 A “Data scientist” is a statistics expert.
 A “Data scientist” is a programming expert.
 A “Data scientist” is a database technology
expert.
 A “Data scientist” is a visualization and
communication expert.
 Identify the
different data
sources.
 Swim in big data.
 Find valuable sets
in raw data.
 Make the formless
data structured.
According to forbes, in
coming years the
demand of data scientist
will increase to upto
28% by 2020 .
A manager desire a highly skilled data
scientist for analysis of data from
customers, to deliver excellent production
services .
All trending cut-edge technology whether
artificial intelligence/automation or
machine learning all uses data science,
thus a need of data scientist .
Managers can provide
training in data
science to top level
employee , to
incorporate need of
data scientist from
within the company .
Finally , India as a developing country needs
peoples with profession in data science, to
expand business globally competing with top
companies in the world.
 In this article, Harvard Business School’s
Davenport and Patil take a deep dive on what
organizations need to know about data scientists,
and how data scientist are needs of the era. Finally,
data scientists want to build things, not just give
advice.
Data analytics with managerial application ass 2

Data analytics with managerial application ass 2

  • 1.
    Data Scientist: The SexiestJob of the 21st Century by Thomas H. Davenport and D.J. Patil Presented by Nishant Kumar
  • 2.
     Name ofthe article: Data Scientist- The sexiest job of the 21st century.  Authors : Thomas H. Davenport & D.J. Patil  Edition : October 2012  Source : Harvard Business Review
  • 3.
     Two mostimportant insight from the article .  Why / How these insight are useful to a manager in India.  Conclusion
  • 4.
    Data Scientists arethe people who understands how to fish out the answers to Business Questions from todays Tsunami of unstructured data. “IBM Predicts Demand For Data Scientists Will Soar 28% By 2020”
  • 5.
     Data scienceis the study of the generalizable extraction of knowledge from data.  It builds on techniques and theories from many fields, including  Mathematics,  Probability models ,  Statistical learning,  Computer programming,  Data engineering,  Pattern recognition and learning,  Visualization & Data Warehousing.
  • 6.
     A “Datascientist” is a business expert.  A “Data scientist” is a statistics expert.  A “Data scientist” is a programming expert.  A “Data scientist” is a database technology expert.  A “Data scientist” is a visualization and communication expert.
  • 7.
     Identify the differentdata sources.  Swim in big data.  Find valuable sets in raw data.  Make the formless data structured.
  • 8.
    According to forbes,in coming years the demand of data scientist will increase to upto 28% by 2020 .
  • 9.
    A manager desirea highly skilled data scientist for analysis of data from customers, to deliver excellent production services .
  • 11.
    All trending cut-edgetechnology whether artificial intelligence/automation or machine learning all uses data science, thus a need of data scientist .
  • 12.
    Managers can provide trainingin data science to top level employee , to incorporate need of data scientist from within the company .
  • 13.
    Finally , Indiaas a developing country needs peoples with profession in data science, to expand business globally competing with top companies in the world.
  • 14.
     In thisarticle, Harvard Business School’s Davenport and Patil take a deep dive on what organizations need to know about data scientists, and how data scientist are needs of the era. Finally, data scientists want to build things, not just give advice.