学部・大学院区分
Undergraduate / Graduate
学部
時間割コード
Registration Code
0055222
科目名 【日本語】
Course Title
[遠隔][G30]データ科学基礎演習A
科目名 【英語】
Course Title
[remote][G30]Data Science Exercise A
使用言語
Language Used in the Course
English
担当教員 【日本語】
Instructor
HAMLITSCH Nathan Jesse ○ 坪田 彩乃
担当教員 【英語】
Instructor
HAMLITSCH Nathan Jesse ○ TSUBOTA Ayano
単位数
Credits
1
開講期・開講時間帯
Term / Day / Period
春 金曜日 2時限
Spring Fri 2


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).
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.
教科書
Textbook
No textbook is required.
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.
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.
本授業に関するWebページ
Reference website for this Course
担当教員からのメッセージ
Message from the Instructor
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
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)