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Data scientist the sexiest job of the 21st century by thomas h davenport and dj patil by darpanraj deoghare

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Darpan Deoghare

Data Scientist the sexiest job of the 21st century by Thomas H Davenport and DJ Patil by Darpanraj Deoghare

Education
1 of 17
By Darpanraj Deoghare
Chronology of Discussion What is Data Science? Who needs a Data Scientist? What makes a Data Scientist? Specialized Talent and Solutions New Work Models Shifts in Business
What is Data Science?
Explaining Data Science  Data science is the study of the generalizable extraction of knowledge from data.
Explaining Data Science – contd. 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.
Components of Data Science
Who needs a Data Scientist?
Source: Data Science Central, 2015 Top Companies hiring Data Scientists
What makes a Data Scientist?
Top kills for Data Scientist Basic Tools Basic Statistics Machine Learning Multivariable Calculus and Linear Algebra Data Munging Data Visualization & Communication Software Engineering
All this makes you a Modern Data Scientist?
Why it is the Sexiest Job of 21st Century  Reasons: 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.
Conclusion As Peter Sondergaard, global head of research at Gartner, said in a 2012 statement, The most valued data scientists of tomorrow will be able not only to derive insights from existing data sets, but also to tell the quantitative future
Contd. “Dark data is the data being collected, but going unused despite its value. Leading organizations of the future will be distinguished by the quality of their predictive algorithms. This is the CIO challenge, and opportunity.”
Submitted for Internship "Data Analytics " under Professor Sameer Mathur , IIML By, Darpanraj Deoghare
Thank You

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Data scientist the sexiest job of the 21st century by thomas h davenport and dj patil by darpanraj deoghare

  • 2. Chronology of Discussion What is Data Science? Who needs a Data Scientist? What makes a Data Scientist? Specialized Talent and Solutions New Work Models Shifts in Business
  • 3. What is Data Science?
  • 4. Explaining Data Science  Data science is the study of the generalizable extraction of knowledge from data.
  • 5. Explaining Data Science – contd. 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.
  • 7. Who needs a Data Scientist?
  • 8. Source: Data Science Central, 2015 Top Companies hiring Data Scientists
  • 9. What makes a Data Scientist?
  • 10.
  • 11. Top kills for Data Scientist Basic Tools Basic Statistics Machine Learning Multivariable Calculus and Linear Algebra Data Munging Data Visualization & Communication Software Engineering
  • 12. All this makes you a Modern Data Scientist?
  • 13. Why it is the Sexiest Job of 21st Century  Reasons: 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.
  • 14. Conclusion As Peter Sondergaard, global head of research at Gartner, said in a 2012 statement, The most valued data scientists of tomorrow will be able not only to derive insights from existing data sets, but also to tell the quantitative future
  • 15. Contd. “Dark data is the data being collected, but going unused despite its value. Leading organizations of the future will be distinguished by the quality of their predictive algorithms. This is the CIO challenge, and opportunity.”
  • 16. Submitted for Internship "Data Analytics " under Professor Sameer Mathur , IIML By, Darpanraj Deoghare

Editor's Notes

  1. This article cited that there is very little difference in result between 2013 and 2015, except that there appears for be more growth of hiring in smaller companies. But these companies corroborate the previous graph; platform and software developers, as well as service/consulting companies are the largest employers of this skills set.