The document discusses data science, defining it as a field that employs techniques from many areas like statistics, computer science, and mathematics to understand and analyze real-world phenomena. It explains that data science involves collecting, processing, and analyzing large amounts of data to discover patterns and make predictions. The document also notes that data science is an in-demand field that is expected to continue growing significantly in the coming years.

1. “The Sexiest Job of the
21st Century”
By:
Harvard Business Review

2. Question
How many bikes I need to order
if there is a petrol hike in India?
What are the possible ways, processes, technology or
solution that can help us to get the solution ………..
By 2020, more than
80 % of the data will
be unstructured

3. We can have the
following ways to use or
apply for getting our
solution……..
Data Analytics
Business intelligence
Artifical intelegence
Big data
Macine learning
Data Engineering etc..

4. Data Science is the future of Artificial Intelligence.

5. WHAT ID DATA SCIENCE?
Data science is a "concept to unify statistics, data analysis, machine
learning and their related methods" in order to "understand and
analyze actual phenomena" with data.
It employs techniques and theories drawn from many fields within
the context of mathematics, statistics, information science,
and computer science.
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6. How it is Different?
 How is this different from what statisticians
have been doing for years?
 The answer lies in the difference
between explaining and predicting.
“Data Scientist is better at statistics than any software engineer and better
at software engineering than any statistician.”
― Josh Wills, Director of Data Engineering at Slack
Predictive causal analytics
Prescriptive analytics
ML for making predictions

8. Power of Data
Science(Netflix)

9. “Data science is everywhere”
Price Comparison
Websites
Airline Route Planning
Delivery logistics
Digital Advertisements
(Targeted Advertising and
re-targeting)
Self Driving Cars
Many more……….

10. How data science work ?
1.Understand the problem
2.Collect enough data
3.Procees the raw data
4.Explore the data
5.Analyse the data
6.Communicate the result

11. Live example….. 1.Collect the patient past history(Plasma glucose
concentration, Blood pressure, Body mass
index, Age, Number of times pregnant,
Diabetes pedigree function)
2. we need to clean and prepare the
data(Structured data)
3.Model planning:-Do some analysis.
4.Model Building:- the best fit for this kind of
problem is the decision tree
5.Operations:-we will run a small pilot project to
check if our results are appropriate
6.Communicate:-
Once we have executed the project successfully,
share the output for full deployment.

12. What is data science – the requisite
skill set
Data science is a blend of skills in three major areas:
1. Mathematics Expertise.
2. Technology Hacking skills.
3. Business/Strategy Acumen.
Good at statistics and mathematics to analyze and visualize data.
Machine Learning forms the heart of Data Science and requires you to be good at it.
Solid understanding of the domain you are working in to understand the business problems clearly.
Capable of implementing various algorithms which require good coding skills.
Able to deliver decisions to the stakeholders. So, good communication must be needed.

13. Various
tools for
Data
Science

14. Scope/Future &
Needs
 A report by McKinsey predicts “by
2020, there will be 40,000
exabytes of data collected.
Someone has to do something
with that data.”
 Attractive Package – Data
scientists have become one of
the hottest commodities around
the industries.
 It is predicted that by the end of
the year 2018, there will be a
need of around one million Data
Scientists
 Combination of knowledge and
money

15. Top Data Science
Companies
 Google
 Amazon
 Visa
 Facebook
 Apple
 IBM
 Netflix

16. SO,
Get ready for
the “Sexiest
Job of 21st
Century”