Introduction to Data Science (A)

Introduction to Data Science (A)

全学共通科目

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国際商経学部

1年

IACBG1GCA7

2単位

講義・演習 (Lecture/Seminar)

2025年度後期

(Fall semester)

稲垣 紫緒

School of Economics and Management

英語

目標9

After class in the classroom

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4-1◎／4-2〇

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【Course Objectives】
   To acquire fundamental knowledge of data science necessary for future specialized studies.


【Learning Outcome】
   To gain basic knowledge of various data analysis methods through hands-on exercises on a PC, ultimately enabling the application of analytical techniques.

Data Science，Microsoft Excel，Python

By experiencing and understanding data analysis through PC-based exercises, students will acquire fundamental knowledge that enables them to apply it.

#1      Orientation
        Course Overview
        ICT Services for Academic Learning on Campus (1)

#2      ICT Services for Academic Learning on Campus (2)
      -- Data Science in Modern Society --
        AI and machine learning

#3      Information Ethics
      -- Ethics in Data Science and AI Use --

#4      Information Security
      -- How to protect Data and Compliance Issues --

#5      Basic PC Operations
      -- Open, edit, save, and close files / Create folders --

#6      Excel (1)
      -- Create data files / Functions: SUM, AVERAGE --

#7      Excel (2)
      -- Assignment for Excel --

#8      Midterm exam

#9       Python (1)
      -- Python and Jupyter notebook Set-up --

#10      Python (2)
      -- Input and output --

#11      Python (3)
      -- Import data --

#12      Python (4)
      -- Visualization --

#13      Python (5)
      -- Iterative procedure: FOR statement --

#14      Python (6)
      -- Conditionals: IF statement --

#15      Comprehensive Report Assignment

Distribute materials as required.

Asakura Shoten, Publisher. Introduction to Data Science. Data Science with Python using business data
Kodansha. Data Science for Liberal Arts Students

The time required for preparation and review is generally as follows, but the details will be explained by the instructor as needed.

Preparation: 15 hours over 15 sessions to ensure students understand and review all content from previous sessions.
Review: Submission of assignments and reports for each session (16 hours for 8 sessions after the 8th session).
    Reviewing handouts and other materials distributed by the instructor:
        21 hours for 7 sessions up to the 7th session.
        8 hours for 8 sessions after the 8th session.

Not applicable

Absences without a valid reason, such as illness (unauthorized absences), are not permitted.
Grading will be based on quizzes (40%) and assignments (60%).

Feedback will be provided during class explanations or through the class profile function of UNIVERSAL PASSPORT. Details will be explained by the instructor as needed.

All classes in this course will be conducted in a hybrid format, combining face-to-face sessions and online participation via Zoom. Online access is available for students who are unable to enter Japan or need to stay at home for medical reasons.

For the online classroom, students will need a stable Wi-Fi connection and a PC with MS Office (desktop version) and the Zoom application installed.

Students who do not fully understand the class content or are unable to complete assignments should review the material, ask questions to the instructor, and submit their assignments accordingly.

Students who receive warnings for poor attendance—such as repeatedly entering and leaving lectures without reason, frequent unexcused absences, or engaging in private conversations—should be aware that they may be prohibited from attending further classes.

For more details, students should review the information provided during the orientation and the introduction of the first session before enrolling in the course.

Not applicable