This document provides an overview of the introduction to data science course DSA-105 taught by Ferdin Joe John Joseph. The first week covers the course orientation, what is data science, who is a data scientist, types of data, and an introduction to key concepts. The course structure includes assignments, presentations, midterm and final exams. Data science is defined as using scientific methods and algorithms to extract knowledge from structured and unstructured data. Data scientists have technical, analytical, and problem-solving skills and use data to solve complex problems.

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
Faculty of Information Technology, Thai ‐ Nichi Institute of
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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5. DSA 105 – A Road Map
Attendance
(10%)
Mid Exam
(30%)
Assignments
and
Presentations
(20%)
Final Exam
(40%)
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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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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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16. Faculty of Information Technology, Thai ‐ Nichi Institute of
Technology
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17. Data Scientist skills
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18. Faculty of Information Technology, Thai ‐ Nichi Institute of
Technology
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19. Datasets
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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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