2. What is Data Science?
Data science, also known as data-driven
science, is an interdisciplinary field of
scientific methods, processes, and
systems to extract knowledge or insights
from data in various forms, either
structured or unstructured, similar to data
mining.
3. Why Data Science?
Data science is a multidisciplinary
blend of data inference, algorithm
development, and technology in
order to solve analytically complex
problems. All the core is Data.
Data science is a blend of skills in
three major areas:
➔ Mathematics Expertise
➔ Technology; Hacking Skills
➔ Business/Strategy Acumen
5. Data scientists are a new breed of analytical
data expert who have the technical skills to
solve complex problems – and the curiosity to
explore what problems need to be solved.
They’re part mathematician, part computer scientist and part trend-
spotter. And, because they straddle both the business and IT worlds,
they’re highly sought-after and well-paid.
Who wouldn’t want to be one?
6. If “Sexy” means
havng rare qualities
that are much in
demand, Data
Scientist are already
there.
As they are Difficult
and Expensive to
Hire.
7. Meet Krik.
Dr. Kirk Borne is the Principal Data Scientist and Executive
Advisor at Booz Allen Hamilton (since 2015).
He previously spent 12 years as Professor of Astrophysics
and Computational Science at George Mason University
where he taught and advised students in the Data Science
degree programs. Before that, he worked 18 years
supporting NASA projects in various roles, including Data
Archive Project Scientist for the Hubble Space Telescope.
He has a PhD in Astronomy from Caltech and a BS in
Physics from LSU.Dr. Kirk Borne is the Principal Data
Scientist and Executive Advisor at Booz Allen Hamilton
(since 2015).
He previously spent 12 years as Professor of Astrophysics
and Computational Science at George Mason University
where he taught and advised students in the Data Science
degree programs. Before that, he worked 18 years
supporting NASA projects in various roles, including Data
Archive Project Scientist for the Hubble Space Telescope.
He has a PhD in Astronomy from Caltech and a BS in
Physics from LSU.
8. Famous Quotes:
➔ Torture the data, and it will confess to
anything.
➔ You can have data without information,
but you cannot have information
without data..
➔ Data is the sword of the 21st century,
those who wield it the samurai.
➔ Data is the new oil? No: Data is the new
soil.
➔ Data matures like wine, applications
like fish.
9. Insights From The Article:
Communicating and
collaborating with
both IT and
business.
Data Scientists
are Big Data
Wranglers.
Data Scientists help
decision makers
shift from ad hoc
analysis to an
ongoing
conversation with
data.
10. Where did they come from?
Many data scientists began their careers as statisticians or data analysts.
But as big data (and big data storage and processing technologies such as
Hadoop) began to grow and evolve, those roles evolved as well. Data is no
longer just an afterthought for IT to handle. It’s key information that
requires analysis, creative curiosity and a knack for translating high-tech
ideas into new ways to turn a profit.
11. Why and How are these
insights relevant to a
Managers in India ?
12. Here are instances when
a company can benefit
from having a Data
Scientist:
➔ When there is a need to crunch large
volumes of numbers
➔ When they can benefit from social
media streams, credit data, consumer
research or third-party data sets
➔ When possessing lots of operational and
customer data
13. The Challenge for
Managers is to learn and
how to IDENTIFY the
TALENT of Data
Scientists, attract it to an
ENTERPRISE or
ORGANIZATION to make
it more PRODUCTIVE.
Source: challenge.reference
14.
15. Conclusion
Data science can definitely add value to business by
the addition of statistics and insights across
workflow, be it hiring new candidates to helping
senior staff make better and informed decisions.
Data science can add value across all industries.