Week1

1. DSA – 105 Introduction to
Data Science
Week 1
Ferdin Joe John Joseph, PhD
Faculty of Information Technology
Thai‐Nichi Institute of Technology

2. Week 1 ‐ Orientation
Agenda
• Welcome
• Introduction
• What is Data Science
• Who is Data Scientist
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Technology
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3. Motivation https://youtu.be/YDCf_SAcgyA
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Technology
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4. Motivation https://youtu.be/MPE0OqS1TIk
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Technology
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5. DSA 105 – A Road Map
Attendance
(10%)
Mid Exam
(30%)
Assignments
and
Presentations
(20%)
Final Exam
(40%)
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Technology
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6. Textbooks and References
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7. Data Scientist
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8. Data
• Information, especially facts or numbers, collected to be examined
and considered and used to help decision‐making, or information in
an electronic form that can be stored and used by a computer.
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9. Types of Data
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• Ordinal
• Binary
• Nominal
Categorical
(Information that
is not measurable)
• Discrete – Numbers that never end like money, height,
weight etc.
• Continuous – Numbers that fall in a cycle like day,
hour, month etc.
Numerical
(Information that
is measurable)

10. Definition : Data Science
Data science is a multi‐disciplinary field that uses scientific methods,
processes, algorithms and systems to extract knowledge and insights
from structured and unstructured data.
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Technology
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11. Why Data Science
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12. Definition: Data Scientist
Data scientists are a new breed of analytical data expert who have the
technical skills to solve complex problems – and the curiosity to explore
what problems need to be solved. They're part mathematician, part
computer scientist and part trend‐spotter.
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13. Data Science
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14. Data Science Concepts
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15. Data Science
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Technology
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16. Faculty of Information Technology, Thai ‐ Nichi Institute of
Technology
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17. Data Scientist skills
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Technology
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18. Faculty of Information Technology, Thai ‐ Nichi Institute of
Technology
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19. Datasets
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Technology
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20. Data Scientist Job Market
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21. Next Week…
• Types of Data
• Primer on Predictive Analytics
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Technology
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