本課程專為非資訊專業領域的餐旅經理人設計，希望透過本課程，讓研習者能夠對於數據分析方法建立正確清楚的基本觀念，並進一步地瞭解數據機器學習分析方法在商管領域的應用策略和相關實務案例。人工智慧與資料科學分析已成為萬眾矚目的焦點，每個領域都需要專精的數據分析人才，以及對商業情報的高度敏銳度，找出企業問題並協調組織面對，將能成為最有價值的企業高階經理人才。提升EMBA學生在人工智慧技術與巨量資料分析的技能與優勢，更可以讓學生將公司相關數據資料帶入課堂，達成學以致用的最佳發揮舞台。
內容涵蓋資料科學分析中資料的解理與如何收集，實際案例於電商顧客分群、預測電商潛在客戶、開放資料運用與視覺化、工廠製程優化、財務金融、零售行銷、社群媒體、文字分析、智慧製造等領域之發展與應用與策略布局。課程兼具學術理論與企業實務，以科技化、數位化的方式，將大數據分析的知識傳遞給所有需要的人。This course is designed for restaurant and tourism managers in non-information professional fields. I hope that through this course, researchers can establish correct and clear basic concepts for data analysis methods, and further understand the application of data machine learning analysis methods in the business management field. Strategy and related practical cases. Artificial intelligence and data science analysis have become the focus of all publics. Each field requires specialized data analysis talents and a high degree of sensitivity to business information to find corporate problems and coordinate organizational aspects, which will become the most valuable. senior management talent in the enterprise. Improving EMBA students’ skills and advantages in artificial intelligence technology and huge data analysis can also allow students to bring company-related data into the classroom, achieving the best stage to apply what they have learned.
The content covers the clarification and how to collect data in data scientific analysis. The actual cases are divided into e-commerce customer groups, predict e-commerce potential customers, open data usage and visualization, factory process optimization, financial, retail marketing, social media, text Development, application and strategic layout in areas such as analysis and intelligent manufacturing. The course combines academic and corporate practice, and uses technological and digital methods to convey the knowledge of large-data analysis to everyone in need.
1.教師自行編輯講義。
2.統計學概論~大數據分析的領航員，謝邦昌編著。
3.吳萬益，2005，企業研究方法，華泰書局出版。
4.Big Data MBA.
5.資料科學的商業運用，碁峰書局。
6.統計學概論~大數據分析的領航員/謝邦昌編著。
1. The teacher edits the explanation by himself.
2. Overview of the statistics ~ The airman of large data analysis, edited by Xie Bangchang.
3. Wu Wanyi, 2005, Corporate Research Methods, published by Huatai Books Bureau.
4.Big Data MBA.
5. Commercial use of data science, Greefeng Books Bureau.
6. Overview of the Statistical Philosophy~Editor of Large Data Analysis/Editor Xie Bangchang.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 課程參與、出席率課程參與、出席率 Course participation, attendance |
20 | |
| 期中報告期中報告 Midterm Report |
40 | |
| 期末報告期末報告 Final report |
40 |
