This document discusses the roles of data science and data scientists. It states that data science involves specialized skills in statistics, mathematics, programming, and computer science. A data scientist explores different data sources to discover hidden insights that can provide competitive advantages or address business problems. They are inquisitive individuals who can analyze data from multiple angles and recommend ways to apply findings to business challenges.

1. Data Science and Data Scientist
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2.  Data Science, Data Scientist and Big data is the
sexiest area of opportunity of 21st century for
companies and Technology users.
 Data scientist is not just Mathematician or
Statistics or Business Analysis or Technology.
 A data scientist represents an evolution from
the business or data analyst role. The formal
training is similar, with a solid foundation
typically in computer science and applications,
modeling, statistics, analytics and math
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Data Science

3.  What sets the data scientist apart from normal Business
Analyst or Technology folks is strong business acumen,
coupled with the ability to communicate findings to
both business and IT leaders in a way that can influence
how an organization approaches a business challenge.
 Good data scientists will not just address business
problems, they will pick the right problems that have the
most value to the organization.
 A data scientist is somebody who is inquisitive, who can
stare at data and spot trends. It's an individual who
really wants to learn and bring change to an
organization
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Data
Science
Statistics
Mathamatics
Technology
Business
domain
Data Scientist

4.  A data scientist will most likely explore and
examine data from multiple disparate
sources.
 The data scientist will sift through all
incoming data with the goal of discovering a
previously hidden insight, which in turn can
provide a competitive advantage or address a
pressing business problem.
 A data scientist does not simply collect and
report on data, but also looks at it from many
angles, determines what it means, then
recommends ways to apply the data.
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Data
Sources
Examine
DataCompetitive
Collect Recommend
Data Scientist

5.  Data Science is a vast discipline in itself,
consisting of specialized skill-sets such as
statistics, mathematics, programming,
computer science and so on.
 Data science consists of several elements,
techniques and theories including math,
statistics, predictive analysis, data modelling,
data engineering, data mining, and
visualization.
 The purpose of Data Science is to extract and
interpret data effectively and present it in a
simple, non-technical language to the end
users.
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Data Science

6.  Data Scientist practices the art and science of
Data. The term of ‘Data Scientist’ become
very popular in the 21st century.
 Data scientists work with complex data
problems with their strong expertise in
certain scientific disciplines. Several elements
related to mathematics, statistics, computer
science, and other disciplines are part of the
their expertise.
 Data scientists need not be an expert in all
the above mentioned disciplines but they
should have knowledge of all the areas to
deals with the Data Science.
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Data Scientist

7.  Data Science is not about finding solutions to the
existing business problems but to identify solutions
for the unidentified problems that are most crucial
to the organization and its success.
 The term “Data Scientist” become relevant
considering the fact that a Data Scientist works
with scientific tools from scientific fields and works
with applications closely to statistics or
mathematics.
 Data Scientists works with latest technologies
which are part of data technologies to find
solutions to reach conclusions and provide insights
into the unknowns of data.
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Data Science & Scientist

8.  Data Scientists job is to identify and present
the data in a meaning form from the raw data
available in the form of structured and
unstructured data which is difficult to achieve
through normal Data warehouse.
 They re called Scientists because they research
to finds answers through questions for What,
How, Who and Why of the data.
 Data Scientists are required to make a clear
defined plan and work towards achieving the
results within limited time, effort and money.
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Data Scientist