This ppt basically gives a brief about what is data science? and its career opportunities

1. What is Data Science?

2. AGENDA
● Evolution of Data
● Introduction to Data Science
● Facts for Data Science
● Data Sccience Careers and Salary

3. Evolution of Data
From the early days of scratching numbers into
papyrus, up to the modern day punching of
numbers into a keyboard, Data Science has
come a long way.The technology may have
changed, the methods may also have changed,
but what hasn’t changed going as far back past
the industrial revolutions of the 19th and 20th
centuries

4. The role of the Data Scientist has unequivocally evolved
since the field of statistics of over 1200 years ago. Despite
the term only existing since the turn of this century, it has
already been labelled ‘The Sexiest Job of the 21st Century’,
which understandably, has created a queue of applicants
stretched around the block.

5. Introduction to Data Science
Data science continues to evolve as one of
the most promising and in-demand career
paths for skilled professionals. Today,
successful data professionals understand
that they must advance past the traditional
skills of analyzing large amounts of data,
data mining, and programming skills. In
order to uncover useful intelligence for
their organizations, data scientists must
master the full spectrum of the data science
life cycle and possess a level of flexibility
and understanding to maximize returns at
each phase of the process

6. Life Cycle

7. Facts of Data
Science
● You do Not Need to be a Tech Savvy or Hold a
PhD to Learn Data Science
● Data Science Competitions and Real Life
Projects are Different
● More Data Does Not Always Mean More
Accuracy
● Data Science Field has Different Roles, Not just
Data Scientists
● Data Science is Not Meant Only For Large
Organizations
● Data Science Needs Great Communication Skills

8. Careers and Average Salary
● Data Scientist
Typical Job Requirements: Find, clean, and
organize data for companies. Data scientists will
need to be able to analyze large amounts of
complex raw and processed information to find
patterns that will benefit an organization and
help drive strategic business decisions.
Compared to data analysts, data scientists are
much more technical.
Average Salary: $139,840
● Machine Learning Engineer
Typical Job Requirements: Machine learning
engineers create data funnels and deliver
software solutions. They typically need strong
statistics and programming skills, as well as a
knowledge of software engineering. In
addition to designing and building machine
learning systems, they are also responsible for
running tests and experiments to monitor the
performance and functionality of such
systems.
Average Salary: $114,826

9. ● Applications Architect
Typical Job Requirements: Track the
behavior of applications used within a
business and how they interact with each
other and with users. Applications architects
are focused on designing the architecture of
applications as well, including building
components like user interface and
infrastructure.
Average Salary: $113,757
● Business Intelligence (BI)
Developer
Typical Job Requirements: BI
developers design and develop
strategies to assist business users in
quickly finding the information they
need to make better business decisions.
Extremely data-savvy, they use BI tools
or develop custom BI analytic
applications to facilitate the end-users’
understanding of their systems
Average Salary: $81,514

10. ● Statistician
Typical Job Requirements: Statisticians
work to collect, analyze, and interpret data
in order to identify trends and
relationships which can be used to inform
organizational decision-making.
Additionally, the daily responsibilities of
statisticians often include design data
collection processes, communicating
findings to stakeholders, and advising
organizational strategy.
Average Salary: $76,884
● Data Analyst
Typical Job Requirements: Transform and
manipulate large data sets to suit the
desired analysis for companies. For many
companies, this role can also include
tracking web analytics and analyzing A/B
testing. Data analysts also aid in the
decision-making process by preparing
reports for organizational leaders which
effectively communicate trends and
insights gleaned from their analysis.
Average Salary: $62, 453

11. THANK YOU!!
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