Useful Presentation on Data Analytics

1. ARTICLE REVIEW SESSION
DATA SCIENTIST-THE SEXIEST JOB OF THE 21ST CENTURY
Presented By
C Viswachaithanya Reddy
Siva Sivani Institute of Management, Kompally,Hyderabad

2. INTRODUCTION
 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

3. ABOUT THE AUTHORS
Thomas H Davenport:
 An American author specializing in analytics, business process innovation and
Knowledge Management.
 Director of Research at International Institute of Analytics & Senior Advisor to Deloitte
Analytics.
DJ Patil:
 VP of Product at Relatel Q, Advisor at Inside Vault.
 He worked as the Head of Data Products, Chief Scientist and CSO for LinkedIn
Corporation (2008-2011).

4. DATA SCIENCE
 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.

5. DATA SCIENTIST
 Data Scientists are the people who understands how to fish out the answers
to Business Questions from todays Tsunami of unstructured data.
 .

6. WHY DATA SCIENTIST IS A SEXIEST JOB?
 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.

7.  Objective:
To know about data scientists: where to look for them, how to attract and develop
them, and how to spot a great one.
 Theme:
Data scientists abilities, need for data scientists and how to find the data
scientists we need.

8. AUTHORS VIEW:
 In this article, it was described that In some of the sectors, shortage of data
scientists has become a serious constraint.
 Back in the 1990s, computer engineer and Wall Street “quant” were the hot
occupations in business.
 Indeed, Greylock Partners, the VC firm that backed Facebook and LinkedIn, is
so worried about the shortage of data scientists.
“Data Scientists want to build things, not just give advice”
Ex: Jonathan Goldman

9. WHAT DS’S DO?
 Identify the different data sources.
 Swim in big data.
 Find valuable sets in raw data.
 Make the formless data structured.

10. SKILLS REQUIRED
 Access to data.
 Good oral and communication skills.
 Good Mathematical and Statistical background to analyze the data.
 Preferably can write the computer programming code R, SAS,STATA.

11. LEARNINGS
 What companies need what type of Data scientists.
 What are the abilities of Data scientists.
 Skill set required for Data scientists.
 Importance of Data scientists in the organization.

12. CONCLUSION
 In this article, Harvard Business School’s Davenport and Patil take a deep dive
on what organizations need to know about data scientists: Finally, data
scientists want to build things, not just give advice.

13. Thank You