授業の目的 【英語】
Goals of the Course [ENG] | | | 【Standardized across all programs】 The goal of this course is for students to acquire basic skills in data analysis using programming and computer tools based on the knowledge acquired in the lectures in order to acquire data analysis skills that will become the foundation for creating new values in various situations in the society. Students will execute the calculations and analysis methods learned in the lecture by themselves using R and Excel (Mostly for students in the humanities). |
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授業の達成目標 【英語】
Objectives of the Course [ENG] | | | Students will learn basic skills for statistic analysis and programming through Excel and R, based on the knowledge learned in the Introduction to Data Science course. |
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授業の内容や構成
Course Content or Plan | | Week 1 - Computer literacy and basic Excel operations
Week 2 - Visualizing and summarizing data with Excel
Week 3 - Data analysis with Excel: t-test, analysis of variance, regression analysis
Week 4 - Basic operation of R, basic operation of Google Collaboratory
Week 5 - Visualization and Summarization with R
Week 6 - Statistical estimation, tests, t-test, analysis of variance, chi-square test in R
Week 7 - Multivariate data analysis, regression analysis, and cluster analysis with R
Week 8 - Elementary programming with R |
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履修条件・関連する科目
Course Prerequisites and Related Courses | | | No prerequisites are required. |
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成績評価の方法と基準
Course Evaluation Method and Criteria | | Based on the submission and achievement of learning assignments. Grades of A, B, C, D, E, and F are assigned for each assignment. Students who have submitted at least 6 assignments with an average of "C" or higher will be considered to have passed the course.
No request for withdrawal is necessary when dropping this course. A “W” grade will be given. |
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教科書
Textbook | | |
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参考書
Reference Book | | | Any additional materials will be provided by the instructor. |
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課外学修等
Study Load (Self-directed Learning Outside Course Hours) | | | Learning assignments related to the content of each class will be assigned. |
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注意事項
Notice for Students | | | For this class, you will need to have access to a computer with Excel and a web browser (Firefox or Chrome recommended) in order to practice R using Excel and Google Colaboratory according to the on-demand video materials. A Google account is required to use Google Colaboratory and should be obtained in advance. |
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本授業に関するWebページ
Reference website for this Course | | |
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担当教員からのメッセージ
Message from the Instructor | | |
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実務経験のある教員等による授業科目（大学等における修学の支援に関する法律施行規則に基づくもの）
Courses taught by Instructors with practical experience | | |
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授業開講形態等
Lecture format, etc | | D-3）Remote course （Only remote classes including both simultaneous interactive and on-demand type）
* Classrooms for face-to-face classes can be found in Timetable B on the ILAS website. |
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