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