Introduction to Data Science.pptx

INTRODUCTION TO
DATA SCIENCE
FOR-IAN V
. SANDOVAL
Asst. Professor II
Laguna State Polytechnic University

LEARNING OBJECTIVES
• Apprehend the field of Data Science impact and
importance in the society
• Reflect on its applications, importance and advantages

CONTENTS
• Why should study Data Science?
• How Does Data Science Impact Organizations?
• Application and Competitive Advantage of Data
Science in Organization
• Importance of Data Science to Society
• Road to Become a Data Scientist

WHY WE ARE TALKING ABOUT
DATA SCIENCE?
Source: https://bit.ly/31HBHuQ

WHAT IS DATA SCIENCE?
• “Data Science is a new term. But in the same sense as
Columbus was discovered NEW Continent 1000 years
ago.
”
- Hector Garcia-Molina
Professor in the Departments
of Computer Science and
Electrical Engineering of
Stanford University

• a multi-disciplinary field
that uses scientific
methods, processes,
algorithms and systems to
extract knowledge and
insights from structured
and unstructured data.
Source: https://bit.ly/30dekJB

• a "concept to unify statistics, data analysis, machine
learning and their related methods" in order to
"understand and analyze actual phenomena" with data.
• employs techniques and
theories drawn from many
fields within the context of
mathematics, statistics,
computer science, and
information science.
Source: https://bit.ly/2YTRQ3w

Fourth Paradigm of Science
• Thousand of years
- Empirical
• Few hundred of years
- Theoretical
• Last fifty years
- Computational
- “Query the world”
• Last twenty years
- eScience (Data Science)
- “Download the world”

Data Science and others
• Statistics
• Big Data Analytics
• Business Analytics
• Business Intelligence
• Data(base) Management
• Visualization
• Machine Learning
• Data Mining
• Artificial Intelligence
• Predictive Modelling

Big Data Science T
asks
• Facebooks
• Amazon
• Google
• Linkedln
• Netflix
• Rozetka
• Microsoft

Regular Data Science
• Data Analysis
• Modelling Statistics
• Engineering / Prototyping

What do people look for in a data scientist?

Data Science Roles

Roles Required in Data Science Project
Source: https://bit.ly/2z5sYqf

How to become a data scientist?
• Data Scientists need to know how to “CODE”

• Other languages, tools, platforms and visualization

Learning Data Science with Python - Libraries

Learning Data Science with Python - T
ools

• Learn to code

Data Scientist need to comfortable with:

to learning machine learning &
Data Scientist need
software engineering

Who are the Data Scientist?

https://bit.ly/2P4eyl0

APPLICATIONS OF DATA SCIENCE
• Security

• Sport
s

• Banking and Finance

• Internet Search

• Digital Advertisements

• Recommender System

• Image Processing

• Speech Recognition

• Gaming

• Price Comparison Websites

• Airline Routing Planning

• Fraud and Risk Detection

• Delivery Logistics

• Internet of Things (IoT)

• Health Care

• Augmented Reality

• Self-Driving Cars

• Robots

IMPACT OF DATA SCIENCE ON SOCIETY

IMPACT OF DATA SCIENCE ON
SOCIETY
• Saving Energy

SOCIETY
• Data-Driven Hospitals

SOCIETY
• A Cleaner Environment

SOCIETY
• V
olunteer with a socially-oriented data science
program/organization

SOCIETY
• Contribute via competitions

SOCIETY
• Consider solutions to real-world problems that you
encounter

SOCIETY
• Be thoughtful in professional work

IMPORTANCE OF DATA SCIENCE
1. Data science
customers in
manner.
helps brands to understand their
a much enhanced and empowered
2. It allows brands to communicate their story in such
a engaging and powerful manner.
3. Big Data is a new field that is constantly growing
and evolving.

IMPORTANCE OF DATA SCIENCE
4. Its findings and results can be applied to almost
any sector like travel, healthcare and education
among others.
5. Data science is accessible to almost all sectors.

Road to become a Data Scientist

REFERENCES
• https://slideplayer.com/slide/10398517/
• https://www.slideshare.net/ryanorban/how-to-become-a-data-scientist
• Dhar, V
. (2013). "Data science and prediction". Communications of the ACM. 56 (12): 64–73. doi:10.1145/2500499.
• Hayashi, Chikio (1 January 1998). "What is Data Science? Fundamental Concepts and a Heuristic Example". In
Hayashi, Chikio; Yajima, Keiji; Bock, Hans-Hermann; Ohsumi, Noboru; T
anaka, Yutaka; Baba, Yasumasa (eds.).
Data Science, Classification, and Related Methods. Studies in Classification, Data Analysis, and Knowledge
Organization. Springer Japan. pp. 40–51. doi:10.1007/978-4-431-65950-1_3. ISBN 9784431702085.
• Davenport, Thomas H.; Patil, DJ (October 2012), Data Scientist: The Sexiest Job of the 21st Century, Harvard
Business Review
• Jeff Leek (12 December 2013). "The key word in "Data Science" is not Data, it is Science". Simply Statistics.
• https://www.analyticsvidhya.com/blog/2015/09/applications-data-science/
• https://www.edureka.co/blog/data-science-applications/
• https://dutchdatascienceweek.nl/2018/04/05/the-impact-of-data-science-on-society/
• https://www.educba.com/data-science-and-its-growing-importance/

Introduction to Data Science.pptx

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