About this Course
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Beginner Level

Approx. 20 hours to complete

Suggested: 9 hours/week...

Chinese (Traditional)

Subtitles: Chinese (Traditional)

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 20 hours to complete

Suggested: 9 hours/week...

Chinese (Traditional)

Subtitles: Chinese (Traditional)

Syllabus - What you will learn from this course

Week
1
2 hours to complete

課程簡介

7 videos (Total 68 min), 6 readings
7 videos
1-2-2 想到大數據,你會想到什麼?4m
1-2-3 為什麼需要大數據?大數據生活中的應用、大數據比你更瞭解你自己20m
1-2-4 產學之間真的有落差嗎?10m
1-2-5 直播提問解答8m
6 readings
NTU MOOC 課程問題詢問與回報機制1m
學習指引10m
課程教師與製課團隊介紹10m
課程學習目標10m
參考書目:<1小時就能看懂 圖解大數據:巨大數據湧出金流!>10m
參考書目:<數據、謊言與真相>10m
Week
2
2 hours to complete

數據分析在金融及財務上的應用

14 videos (Total 71 min), 5 readings, 2 quizzes
14 videos
2-1-3 金融服務數據分析的目的2m
2-2-1 保險實例(一):決策樹之應用,瞭解客戶的行為模式10m
2-2-2 保險實例(二):關聯分析之應用,瞭解客戶及商品之間的關聯性5m
2-2-3 保險實例(三):將客戶有效分群,瞭解客戶的分佈特性6m
2-3-1 四種常用的股市分析方法與股市資料種類7m
2-3-2 從股票數據分析延伸出的三種應用2m
2-3-3 如何利用新聞等外部資訊評估企業風險6m
2-3-4 如何利用內外部資料進行股價趨勢預測14m
2-4-1 延伸問題(一):新興金融服務有哪些風險與法規限制?2m
2-4-2 延伸問題(二):自己練習做股票分析,可以使用哪些現有的資源?1m
2-4-3 老師分享:大數據如何改變組織分工?1m
5 readings
本週課程教師簡介:楊立偉老師10m
金融創新服務:無現金交易10m
金融創新服務:P2P借貸10m
金融創新服務:群眾集資10m
認識 WEKA10m
2 practice exercises
第二週課程測驗(選擇題,計分)10m
第二週課程測驗(進階題,不計分)
Week
3
2 hours to complete

數據分析在行銷與零售上的應用

17 videos (Total 72 min), 2 readings, 2 quizzes
17 videos
3-1-3 行銷與零售數據分析的目的4m
3-2-1 常用在行銷與零售上的四種資料分析方法簡介5m
3-2-2 深入介紹關聯分析(一):共同出現的概念4m
3-2-3 深入介紹關聯分析(二):透過指標檢驗找出關聯性2m
3-2-4 大型書籍零售賣場案例(一):尋找常被一起購買的不同商品4m
3-2-5 大型書籍零售賣場案例(二):尋找會員基本資料與購買商品間的關聯性4m
3-2-6 零售賣場案例(一):聯合促銷3m
3-2-7 零售賣場案例(二):目標行銷5m
3-3-1 電商的業績計算方式與優化目標9m
3-3-2 透過會員分群擬定行銷策略7m
3-3-3 Amazon案例:個人化推薦的侷限性與平衡方法3m
3-4-1 延伸問題(一):傳統的市場區隔理論隨時代演進有哪些改變?2m
3-4-2 延伸問題(二):如何分析新的零售策略所帶來的附加價值?3m
3-4-3 老師分享:企業導入資料分析方法時會產生的顯性與隱性成本1m
2 readings
本週課程教師簡介:楊立偉老師10m
參考書目:<大數據玩行銷>10m
2 practice exercises
第三週課程測驗(選擇題,計分)22m
第三週課程測驗(計算題,不計分)
Week
4
2 hours to complete

社群媒體之輿情分析

15 videos (Total 97 min), 2 readings, 2 quizzes
15 videos
4-2-2 群落偵測方法:聚合法9m
4-2-3 群落偵測方法:拆解法12m
4-2-4 如何產生網路?顯性與隱性網路2m
4-3-1 引言:社群媒體創造了新的發言方式3m
4-3-2 如何評估社群媒體上的影響力:Page rank方法8m
4-3-3 解決 Page rank 衍生的問題: Random walk 概念介紹9m
4-3-4 解決 Random walk 的收斂問題:Teleport 概念介紹10m
4-3-5 PageRank 總結與其他細部問題10m
4-4-1 延伸問題(一):完成分群後如何知道不同群體分別適合怎樣的服務?1m
4-4-2 延伸問題(二):實務上是否有判斷「文風相似」的客觀標準?2m
4-4-3 延伸問題(三):尋找意見領袖 - 新興的意見領袖如何找尋?2m
4-4-4 延伸問題(四):尋找意見領袖 - 在大數據中如何辨識灌水與分身?3m
2 readings
本週課程教師簡介:陳建錦老師10m
教師建議先修課程10m
2 practice exercises
第四週課程測驗(選擇題,計分)14m
第四週課程測驗(問答題,不計分)2m
4.5
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Top reviews from 大數據分析:商業應用與策略管理 (Big Data Analytics: Business Applications and Strategic Decisions)

By LCJun 16th 2019

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By GLOct 18th 2018

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Instructors

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魏志平

教授兼系主任 (Professor and Chair)
資訊管理學系 (Department of Information Management)
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李正國

玉山金控數位金融長暨副總經理
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楊立偉

兼任助理教授 (Adjunct Assistant Professor)
工商管理學系與資訊管理學系合聘 (Department of Business Administration and Information Management)
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陳建錦

教授 (Professor)
資訊管理學系 (Department of Information Management)

About National Taiwan University

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Frequently Asked Questions

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