日本語

Course Code etc
Academic Year 2023
College College of Sociology
Course Code lottery registration
Theme・Subtitle Pythonを用いたID-POS分析/人工知能科学研究科とのコラボ科目
Class Format Face to face (all classes are face-to-face)
Campus Ikebukuro
Semester Spring Semester
DayPeriod・Room Wed.5・1102
Credit 2
Course Number CMS2430
Language Japanese
Notes 人数制限科目(社会学部生15名)
社会学部生以外は他学部生用の抽選科目で申し込むこと
Text Code DE205

【Course Objectives】

No day without hearing about DX news. However, there are still few successful DX cases. In this class, we will learn the latest cases of retail DX. Also, based on big data such as purchase data of ID-POS, learn analytical know-how using Python. Furthermore, the goal is to discover issues from the analysis results and make recommendations for improvement.

【Course Contents】

In this class, in addition to overseas DX cases such as Amazon and Walmart, we will learn the latest cases of domestic retail DX. In addition, with the cooperation of a certain drug store, we will analyze the latest ID-POS data using Python. After learning the basics of analysis, students are divided into groups, each decides an analysis theme, cooperates in analyzing big data, and makes a final presentation. Python beginners are supported by instructors and TA. We will also hold a presentation to the president of the drugstore that provided the data. This class is taught by a professor from the Graduate School of Artificial Intelligence Science and a lecturer who has been analysing ID-POS for many years at a major consumer goods manufacturer.

※Please refer to Japanese Page for details including evaluations, textbooks and others.