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DATA
SCIENCE
Mohit Dholakiya
ABOUT ME
Living a best qualitative life, also ready to serve for any
challenges. Moreover being a human being I also have
feelings for another living being exceptionally I also have hard
feelings for digital equipment too especially for my laptop. I
also write blogs and create proper knowledgeable stuffs.
Stay Healthy, Stay Safe!
D
A
T
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S
C
I
E
N
C
E
2
WHAT IS DATA SCIENCE?
It is nothing but a new term, in the same sense we can
say that as Columbus was discovered before 1000 years.
D
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S
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N
C
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3
It is a multi-disciplinary field of digital world which uses
scientific methods, processes, algorithms, and systems to
extract a valuable and knowledgeable data not only this
but also insights from structured and unstructured data.
Thousand years
-Empirical
Few Hundred years
-Theoretical
Last fifty years
-Computational
-”Query of the world”
Last twenty years
-eScience (Data Science)
-”Download the world”
4
WHAT IS DATA SCIENCE?
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I
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E
Data Science and
others
o Business Analytics
o Data(base) Management
o Visualization
o Data Mining
o Artificial intelligence
o Predictive Modelling
o Machine Learning
o Big data Analytics
Big Data Science
Tasks
o Netflix
o Amazon
o Google
o Linkedin
o Rozekta
o Microsoft
o Facebook
Regular Data Science
o Data Analysis
o Modelling Statistics
o Engineering/Prototyping 5
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WHAT DO PEOPLE LOOK
INTO A DATA SCIENTIST?
Broad Range
generalist
Deep expertise
Machine Learning Domain Knowledge
6
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N
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Statistics
WHAT DO PEOPLE LOOK
INTO A DATA SCIENTIST?
7
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C
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In some parallel space some another instance
of Mohit has stated that broad -range generalist
and deep experience is a T -shaped skillset
shown below:
Deep
Expertise
Broad-range generalist
APPLICATIONS
Security Sports
Banking and Finance Internet Search
8
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APPLICATIONS
Digital Advertisements Recommender System
Image processing Speech Recognition
9
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APPLICATIONS
Gaming Price Comparison
website
Airline route planning Fraud and Risk
detection
10
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APPLICATIONS
Internet of Things Health Care
Augmented Reality Robots
11
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IMPACTS
• Saving Energy
• Data-driven Hospitals
• A cleaner Environment
• Data-science driven organizations to volunteer with a
socially-oriented data
• Contribution to competitions
• Considerations of real world problems
• Become more professional
12
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IMPORTANCE OF
DATA SCIENCE?
Internet of things (IoT)
Artificial Intelligence
Machine Intelligence
Hyper Personalization Behavioral Analytics
Augmented Reality
Graph Analytics
Agile Data Science
The Experience Economy
THANK YOU
Mohit Dholakiya
hackingspot7799.blogspot.com
14
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Data science

  • 2. ABOUT ME Living a best qualitative life, also ready to serve for any challenges. Moreover being a human being I also have feelings for another living being exceptionally I also have hard feelings for digital equipment too especially for my laptop. I also write blogs and create proper knowledgeable stuffs. Stay Healthy, Stay Safe! D A T A S C I E N C E 2
  • 3. WHAT IS DATA SCIENCE? It is nothing but a new term, in the same sense we can say that as Columbus was discovered before 1000 years. D A T A S C I E N C E 3 It is a multi-disciplinary field of digital world which uses scientific methods, processes, algorithms, and systems to extract a valuable and knowledgeable data not only this but also insights from structured and unstructured data.
  • 4. Thousand years -Empirical Few Hundred years -Theoretical Last fifty years -Computational -”Query of the world” Last twenty years -eScience (Data Science) -”Download the world” 4 WHAT IS DATA SCIENCE? D A T A S C I E N C E
  • 5. Data Science and others o Business Analytics o Data(base) Management o Visualization o Data Mining o Artificial intelligence o Predictive Modelling o Machine Learning o Big data Analytics Big Data Science Tasks o Netflix o Amazon o Google o Linkedin o Rozekta o Microsoft o Facebook Regular Data Science o Data Analysis o Modelling Statistics o Engineering/Prototyping 5 D A T A S C I E N C E
  • 6. WHAT DO PEOPLE LOOK INTO A DATA SCIENTIST? Broad Range generalist Deep expertise Machine Learning Domain Knowledge 6 D A T A S C I E N C E Statistics
  • 7. WHAT DO PEOPLE LOOK INTO A DATA SCIENTIST? 7 D A T A S C I E N C E In some parallel space some another instance of Mohit has stated that broad -range generalist and deep experience is a T -shaped skillset shown below: Deep Expertise Broad-range generalist
  • 8. APPLICATIONS Security Sports Banking and Finance Internet Search 8 D A T A S C I E N C E
  • 9. APPLICATIONS Digital Advertisements Recommender System Image processing Speech Recognition 9 D A T A S C I E N C E
  • 10. APPLICATIONS Gaming Price Comparison website Airline route planning Fraud and Risk detection 10 D A T A S C I E N C E
  • 11. APPLICATIONS Internet of Things Health Care Augmented Reality Robots 11 D A T A S C I E N C E
  • 12. IMPACTS • Saving Energy • Data-driven Hospitals • A cleaner Environment • Data-science driven organizations to volunteer with a socially-oriented data • Contribution to competitions • Considerations of real world problems • Become more professional 12 D A T A S C I E N C E
  • 13. 13 D A T A S C I E N C E IMPORTANCE OF DATA SCIENCE? Internet of things (IoT) Artificial Intelligence Machine Intelligence Hyper Personalization Behavioral Analytics Augmented Reality Graph Analytics Agile Data Science The Experience Economy