培養學生具備「行銷數據分析思維」的素養與「資料科學與資料分析」的基礎概念。課程內容結合理論與實務，包含資料蒐集與初步分析，實作部分會以商業案例引導學生進行程式實作；期許學生修畢課程後能夠懂得資料分析基本手法與初步的結果判讀。Cultivating students has the basic concepts of "marketing data analysis thinking" and "data science and data analysis". The course content is reasonable and practical, including data collection and preliminary analysis. The actual part will use business cases to guide students to perform program implementation; students may understand the basic methods of data analysis and preliminary results after the course is completed.
1.自編教材
2.大數據x資料探勘x智慧營運(作者：梁棟、張兆靜 、彭木根)出版社：崧燁文化事業有限公司
3.行銷資料科學｜大數據x市場分析x人工智慧(作者：羅凱揚、蘇宇暉、鍾皓軒)出版社：碁峰
1. Self-edited textbooks
2. Large data x data exploration x smart operation (author: Liang Qi, Zhang Zhaojing, Peng Mugen) Publishing House: Songhua Culture Industry Co., Ltd.
3. Marketing Data Science｜Big Data x Market Analysis x Artificial Intelligence (Author: Luo Kaiyan, Su Yuying, Long Haohao) Publisher: Qi Feng
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 課堂參與、作業與實作課堂參與、作業與實作 Class participation, work and practice |
50 | |
| 期中實作與報告期中實作與報告 Midterm implementation and report |
20 | |
| 期末實作與報告期末實作與報告 Final implementation and report |
30 |
