| 課程大綱 Syllabus |
學生學習目標
Learning Objectives |
單元學習活動
Learning Activities |
學習成效評量
Evaluation |
備註
Notes |
序
No. | 單元主題
Unit topic |
內容綱要
Content summary |
| 1 | 大數據行銷概述(Introduction to big data marketing) |
課程規劃介紹與評分標準說明(Course overview and grading criteria) |
了解大數據行銷的基本概念(Introduction to big data marketing) |
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| 2 | 為大數據行銷做好準備(Get ready for big data marketing) |
1.為何市場行銷過時
2.數據毛球
3.大數據特性
4.大數據行銷意涵
(Why is marketing antiquated, data hairball, the characteristics of big data, the definition of big data marketing) |
了解大數據特性、大數據行銷等相關定義(Understanding the characteristics of big data and the definition of big data marketing) |
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| 3 | 數據驅動型行銷5個步驟(The five steps to data-driven marketing and big data insights)I |
1.建置策略性戰略
2.打破隔閡
3.解開數據毛球
4.指標至上
5.流程當道
(step1:Get smart, get strategic, step2:Tear down the silos, step3:untangle the data hairball, step4:make metrics your mantra, step5:process is the new black) |
了解數據驅動型行銷5個步驟(Understanding the five steps to data-driven marketing and big data insights ) |
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| 4 | 數據驅動型行銷5個步驟(The five steps to data-driven marketing and big data insights)II |
1.建置策略性戰略
2.打破隔閡
3.解開數據毛球
4.指標至上
5.流程當道
(step1:Get smart, get strategic, step2:Tear down the silos, step3:untangle the data hairball, step4:make metrics your mantra, step5:process is the new black) |
了解數據驅動型行銷5個步驟(Understanding the five steps to data-driven marketing and big data insights ) |
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| 5 | 實現大數據行銷價值(Realizing the value of big data marketing) |
1.有效行銷創造價值
2.顧客體驗
(Drive value through relevant marketing and customer experience) |
了解大數據行銷價值(Understanding the value of big data marketing ) |
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| 6 | 大數據行銷資料分析技術(big data marketing data analysis techniques) |
1.顧客終身價值分析
2.市場購物籃分析
3.新產品推薦系統
(Customer lifetime value, market basket analysis, new product recommendation system) |
了解大數據行銷資料分析技術(Understanding big data marketing data analysis techniques) |
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| 7 | 大數據行銷個案報告探討(Midterm Report ) |
大數據行銷個案報告探討(Looking for a big data marketing case, analyze its application and technology) |
進行大數據行銷個案報告探討(Midterm Report : looking for a big data marketing case, analyze its application and technology) |
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| 8 | 婦幼清明節放假(Ching Ming Festival) |
婦幼清明節放假(Ching Ming Festival) |
婦幼清明節放假(Ching Ming Festival) |
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| 9 | 期中考 (Midterm Exam) |
期中考 (Midterm Exam) |
期中考 (Midterm Exam) |
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| 10 | Python程式設計基礎I(Introduction to Python) |
1.變數
2.輸出輸入函數
3.條件判斷
(Variables, input and output function, condition adjustment) |
了解Python程式設計基礎(Introduction to Python) |
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| 11 | Python程式設計基礎II(Introduction to Python) |
1.資料讀取
2.資料處理
(data retrieval, data processing) |
了解Python程式設計基礎(Introduction to Python) |
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| 12 | 顧客價值分析實作(Using python to customer value analysis) |
顧客價值分析實作(Using python to customer value analysis) |
顧客價值分析實作(Using python to customer value analysis) |
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| 13 | 購物籃分析實作(Using python to market basket analysis) |
購物籃分析實作(Using python to market basket analysis) |
購物籃分析實作(Using python to market basket analysis) |
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| 14 | 推薦分析實作(Using python to recommendation analysis) |
推薦分析實作(Using python to recommendation analysis) |
推薦分析實作(Using python to recommendation analysis) |
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| 15 | 趨勢預測實作(Using python to prediction analysis) |
趨勢預測實作(Using python to prediction analysis) |
趨勢預測實作(Using python to prediction analysis) |
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| 16 | 顧客分群實作(Using python to clustering analysis) |
顧客分群實作(Using python to clustering analysis) |
顧客分群實作(Using python to clustering analysis) |
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| 17 | 大數據行銷專題展示(Final project demonstration) |
大數據行銷專題展示(Final project demonstration) |
大數據行銷專題展示(Final project demonstration) |
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| 18 | 期末考 (Final Exam) |
期末考 (Final Exam) |
期末考 (Final Exam) |
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