Without DATA you are just a OPINION :) A PPT on data science

1. Data Science

2. Overview
o Data ?
o What is Data Science?
o What’s the need of Data science?
o Where does this data come from?
o Who are Data Scientists
o Case study

3. Data :- is a collection of facts, such as
numbers, words, measurements, observations or
just descriptions of things.

8. What is Data Science?
Data science is the study of data. It involves
developing methods of recording, storing, and
analyzing data to effectively extract useful information.
The goal of data science is to gain insights and
knowledge from any type of data — both structured and
unstructured.
Data science is often confused with data mining.
However, data mining is a subset of data science. It
involves analyzing large amounts of data (such
as big data) in order to discover patterns and other
useful information. Data science covers the entire
scope of data collection and processing.
Data Science VS Data
Mining

9. ● IBM predicted that demand for data scientists will soar by 28% by 2022
● Data scientist roles have grown over 650% since 2012, but currently, 35,000 people in
the US have data science skills, while hundreds of companies are hiring for those
roles.
● Software engineering is a common starting point for professionals who are in
top five fasting growing jobs today. The career path to Machine Learning Engineer
and Big Data Developer begins with a solid software engineering background.
● Data Science gives you career flexibility
Why the hype Around Data
Science

10. 1. Why data science ?
2. Why do we need Data
science ?
3. What is Data Science
useful for?

11. The principal purpose of Data Science is to
find patterns within data. It uses various
statistical techniques to analyze and
insights from the data
Data Science is a very recent terminology .
Before Data Science, we had statisticians.
These statisticians experienced in
qualitative analysis of data and companies
employed them to analyze their overall
performance and sales.
1.

12. From business to the health industry, science to
our everyday lives, marketing to research, in fact,
for everything in a fraternity, data is required to
thrust the movement forward. Computer science
and information technology have taken over our
lives, and it is advancing with each passing day
with such velocity and variety that the operational
techniques used a few years back have now
become obsolete.
Every field of science and study or
organization, therefore, needs an updated
set of operational systems and technology
to keep up with the challenges of today
and tomorrow as well as to derive solutions
for unanswered questions.
2.

13. o Data is the key component for every business, as
businesses need it to analyze their current scenario based
on past facts and performance and make decisions for
future challenges.
o They need data to survive in today’s competitive market
and mature their decision-making power, which would
enhance their productivity and profitability.
o Today, data science is the requirement of every business
to make business forecasts and predictions based on facts
and figures, which are collected in the form of data and
processed through data science.
Data Science for Business
3.

14. Data Science for Medical
Research
• The medical science industry also thrives on data science as it
has also provided solutions for long-standing complexities. In
recent years, there has been an immense increase in deadly
disease outbreaks and new fatal viruses due to pollution,
unsafe and unhealthy practices, and improper diet, etc.
• The scientists can research new medicines and study their
possible outcomes on the human compositional basics. Data
science has powered the data to be turned into visualizations
and graphical presentations to study the patterns of behavior
and course of actions of many unseen components of the
human body. It helps scientists find a cure for diseases that
had no possible treatment in the past.

15. Data Science for Social
Media
Data science implications and integration on social media
websites and public socializing platforms have taken the process
of datification to another level. Most of the data of consumer
behavior, choices, and preferences are being collected through
online platforms, which help the business grow.

16. “Big Data” Sources
Every:
Click
Ad impression
Billing event
Fast Forward, pause,…
Server request
Transaction
Network message
Fault
…
User Generated (Web &
Mobile)
….
.
Internet of Things / M2M
Health/Scientific
Computing
It’s All Happening On-
line
Big Data is a
collection of data that
is huge in volume, yet
growing exponentially
with time.

17. “Data is the New Oil”
– World Economic Forum
2011

18. What can you do with the data?
Traffic Prediction and Earthquake Warning
18
Crowdsourcing + physical modeling + sensing + data assimilation
to produce:

19. Who are Data
Scientists?

20. A Data Scientist is
the Adult version
of kid who cant
stop Asking
“WHY?”
- Russ Thompson
Senior Research Scientist
at Alexa

21. • There are several definitions available on
Data Scientists. In simple words, a Data
Scientist is one who practices the art of
Data Science.
• Data scientists are those who crack
complex data problems with their strong
expertise in certain scientific disciplines.
They work with several elements related to
mathematics, statistics, computer science,
etc

25. Data Science: Case Study NETFLIX
One of the best ways to explain the benefits
of data science to people who don’t quite
grasp the industry is by using Netflix-focused
examples.
• Yes, Netflix is the largest internet-
television network in the world. But what
most people don’t realize is that, at its
core, Netflix is a customer-focused, data-
driven business.
• Founded in 1997 as a mail-order DVD
company, it now boasts more than 53
million members in approximately 50
countries.

26. Some Interesting Facts about
Netflix(source) —
•Despite more competition, Netflix still has
the largest subscriber count in 2020
•60 million US adults have a Netflix
subscription
•The company is older than most users
realize
•41% of Netflix users are watching without
paying thanks to password and account
sharing
•Netflix was one of the first streaming
services available as an app on different
devices
📺

28. Conclusion
• Data science is vital in almost every field. It needs to develop and
progress within its systems to handle emerging issues in every
industry, business, and organization. The system which solves
problems should be advanced enough to provide simple solutions
• This will also have the need for data scientists, data engineers, and
data analysts in the market. Data scientists will even be further high
demand. There is also the scope for the educational institutions to
provide expansion and planning to serve the vehement outburst of
interest in data science and design academic programs accordingly.

29. THANK
YOU
BY:- Deeksha Srivas