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魏志平, 李正國, 楊立偉, and 陳建錦

本課程是為非資料科學專業者設計的大數據領域入門課程,偏商管應用,非資訊技術教學。透過修習本課程,學員將能對資料科學商管領域的範疇與分類建立基本的觀念,並且瞭解其在商管領域的各種應用。在學的學生可藉此為職涯做準備,在職的社會人士則可拓展自己對資料科學的想像,進一步思考在自身工作場域應用資料科學的可能性。

本課程共計六週,第一週為學界與業界對談,透過直播企劃呈現大數據應用的議題,作為課程的開端,二到五週由臺灣大學教授進行授課,分別就金融、行銷、社群媒體、輿情分析、行銷智慧等議題,介紹大數據在領域的應用,課程以闡述應用為主,但不會花很多時間在演算法的技術細節。第六週則由玉山金控李正國數位金融長主講,帶入玉山金控積極應用大數據於銀行業的策略,產學合作課程確實結合學界與業界的專家,就資料科學的商管應用做不同面向的介紹。

課程設計中安排一位主持人的課前提問、單元介紹引言、延伸提問等等,引導學生學習與思考,各週授課教師與課程主題概述如下:

第一週:臺灣大學資訊管理學系魏志平教授、玉山金控李正國數位金融長 -- 課程簡介、與大數據的午餐約會直播活動

第二週:臺灣大學工商管理學系與資訊管理學系合聘楊立偉教授 -- 資料分析在金融及財務上的應用

第三週:臺灣大學工商管理學系與資訊管理學系合聘楊立偉教授 -- 資料分析在零售及行銷上的應用

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本課程是為非資料科學專業者設計的大數據領域入門課程,偏商管應用,非資訊技術教學。透過修習本課程,學員將能對資料科學商管領域的範疇與分類建立基本的觀念,並且瞭解其在商管領域的各種應用。在學的學生可藉此為職涯做準備,在職的社會人士則可拓展自己對資料科學的想像,進一步思考在自身工作場域應用資料科學的可能性。

本課程共計六週,第一週為學界與業界對談,透過直播企劃呈現大數據應用的議題,作為課程的開端,二到五週由臺灣大學教授進行授課,分別就金融、行銷、社群媒體、輿情分析、行銷智慧等議題,介紹大數據在領域的應用,課程以闡述應用為主,但不會花很多時間在演算法的技術細節。第六週則由玉山金控李正國數位金融長主講,帶入玉山金控積極應用大數據於銀行業的策略,產學合作課程確實結合學界與業界的專家,就資料科學的商管應用做不同面向的介紹。

課程設計中安排一位主持人的課前提問、單元介紹引言、延伸提問等等,引導學生學習與思考,各週授課教師與課程主題概述如下:

第一週:臺灣大學資訊管理學系魏志平教授、玉山金控李正國數位金融長 -- 課程簡介、與大數據的午餐約會直播活動

第二週:臺灣大學工商管理學系與資訊管理學系合聘楊立偉教授 -- 資料分析在金融及財務上的應用

第三週:臺灣大學工商管理學系與資訊管理學系合聘楊立偉教授 -- 資料分析在零售及行銷上的應用

第四週:臺灣大學資訊管理學系陳建錦教授 -- 社群媒體之輿情分析

第五週:臺灣大學資訊管理學系魏志平教授 -- 社群媒體分析與行銷智慧

第六週:玉山金控李正國數位金融長 -- 大數據的商業應用策略

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What's inside

Syllabus

課程簡介
本單元首先由課程引言人引導此門課程學習的脈絡,接著由魏志平老師簡介此課程。課程簡介還有一個特別的部分,是以直播方式與大家互動的。與大數據的午餐約會直播是已在 2018/4/13 ,透過直播的方式,在NTUMOOC Facebook 粉絲團呈現(Facebook 搜尋:NTUTI - 臺大創新教學組(MOOCs/翻轉教育)) ,引入大數據生活應用的議題、談論產學之間的落差,作為此門課程的開頭。2018/4/13 沒有收看到直播的同學也別擔心,直播的影片已剪輯完畢,在此週呈現,學習者依然可以透過 Discussion Forums 向老師提問並與同學互動。
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
適合作為商務決策者使用資料科學的入門課程。
由臺灣大學教授與玉山金控高階主管講授,具備業界與學界的觀點。
涵蓋金融、行銷、社群媒體等領域,貼近商務應用。

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Reviews summary

商業應用導向的大數據入門

根據學員表示,這門名為「大數據分析:商業應用與策略管理」的課程,是為非技術背景的學員所設計的良好入門。課程偏重商業應用與策略,而非艱澀的技術細節,這點被許多來自商管領域的學習者認為是實用且貼近實務的優點。內容涵蓋金融、行銷、社群媒體等多個領域的案例,且包含業界專家的分享(特別提到玉山金控的實戰經驗)。不過,也有部分學員指出,課程的技術實作部分較少,對於希望學習實際程式碼或分析工具操作的學員來說,可能深度不足,需要額外補充學習。
涵蓋金融、行銷、社群等領域
"課程內容涵蓋了金融、行銷、社群媒體等多個領域,讓我了解大數據應用的廣度。"
"對大數據在不同商業場景的應用有了更全面的認識。"
"我很喜歡課程分領域介紹大數據的應用,這對我很有幫助。"
包含玉山金控實戰經驗分享
"最後一週玉山金控數位金融長的分享很精彩,貼近業界實際運作,非常有啟發性。"
"能聽到業界專家的實務經驗分享,我覺得這是課程很大的價值所在。"
"業界案例讓我更能理解大數據在現實中如何應用,而不只是學術理論。"
"特別喜歡業界講師的部分,讓課程內容更加豐富和有深度。"
為非技術背景者打基礎
"作為大數據的入門課程來說,這門課非常合適,讓我這個商管背景的人對大數據有了初步的認識。"
"老師們講解很清楚,即使沒有技術背景也能聽懂大數據的基本概念和應用。"
"對於剛接觸大數據領域的人來說,這門課提供了一個很好的概覽和基礎。"
"我覺得這門課的定位很精準,就是給像我這樣完全不懂技術但想了解大數據用途的人上的。"
強調商業案例與管理策略
"這門課如課程簡介所言,非常偏重在商業應用面,我覺得非常符合我的需求,不是那種硬梆梆的技術課程。"
"對於想了解大數據在商業領域如何應用的經理人或非技術人員來說,這門課提供了很好的觀點。"
"課程案例非常實用,特別是金融和行銷的部分,讓我能理解大數據如何幫助商業決策。"
"很清楚的讓我知道大數據能為公司帶來什麼價值,以及有哪些應用方向。"
程式碼或實作練習不多
"課程內容偏向理論和案例介紹,如果想學習實際的程式碼操作或工具使用,這門課的深度可能不太夠。"
"希望能有更多實際操作的練習或範例,只有聽老師講,對實作能力幫助有限。"
"對於完全沒有技術背景的人可能剛好,但如果想動手做分析,需要自己找額外資源學習。"
"雖然知道課程定位是非技術導向,但還是希望能有一點點基本的實作指引會更好。"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in 大數據分析:商業應用與策略管理 (Big Data Analytics: Business Applications and Strategic Decisions) with these activities:
尋找資料科學領域的導師
導師可以提供指導、建議和支持,幫助學生在資料科學領域成長和發展。
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  • 詢問老師或同學推薦資料科學領域的專業人士。
  • 透過 LinkedIn 或其他專業人脈網站搜尋潛在的導師。
  • 聯繫你感興趣的導師,說明你的背景和求導師的原因。
彙整課程相關資源
彙整課程相關資源可以幫助學生快速找到和使用所需的材料,增強學習效率。
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  • 蒐集課程講義、教材、影片和網站等學習資源。
  • 將這些資源整理到一個資料夾或雲端空間中。
  • 建立一個目錄或說明文件,說明每項資源的用途和相關性。
參與討論區並與同學交流
參與討論區可以讓學生交流想法,提問並獲得同學和老師的協助,促進學習和理解。
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  • 每週瀏覽討論區,閱讀同學的發文和回覆。
  • 提出你的問題或想法,並回應其他同學的發文。
  • 與同學組成小組,共同討論特定的主題或專題。
Show all three activities

Career center

Learners who complete 大數據分析:商業應用與策略管理 (Big Data Analytics: Business Applications and Strategic Decisions) will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst uses data to solve business problems. This course provides an overview of data analytics and its applications in business. It also covers data analysis techniques and tools that are essential for Data Analysts. Taking this course will help you build a foundation in data analytics and prepare you for a career as a Data Analyst.
Data Scientist
A Data Scientist uses data to build predictive models and make predictions about the future. This course provides an overview of data science and its applications in business. It also covers data science techniques and tools that are essential for Data Scientists. Taking this course will help you build a foundation in data science and prepare you for a career as a Data Scientist.
Machine Learning Engineer
A Machine Learning Engineer builds and deploys machine learning models. This course provides an overview of machine learning and its applications in business. It also covers machine learning techniques and tools that are essential for Machine Learning Engineers. Taking this course will help you build a foundation in machine learning and prepare you for a career as a Machine Learning Engineer.
Business Analyst
A Business Analyst uses data to help businesses make better decisions. This course provides an overview of business analytics and its applications in business. It also covers business analytics techniques and tools that are essential for Business Analysts. Taking this course will help you build a foundation in business analytics and prepare you for a career as a Business Analyst.
Market Research Analyst
A Market Research Analyst conducts research to understand consumer behavior and market trends. This course provides an overview of market research and its applications in business. It also covers market research techniques and tools that are essential for Market Research Analysts. Taking this course will help you build a foundation in market research and prepare you for a career as a Market Research Analyst.
Financial Analyst
A Financial Analyst uses data to make financial decisions. This course provides an overview of financial analysis and its applications in business. It also covers financial analysis techniques and tools that are essential for Financial Analysts. Taking this course will help you build a foundation in financial analysis and prepare you for a career as a Financial Analyst.
Risk Analyst
A Risk Analyst uses data to identify and assess risks. This course provides an overview of risk analysis and its applications in business. It also covers risk analysis techniques and tools that are essential for Risk Analysts. Taking this course will help you build a foundation in risk analysis and prepare you for a career as a Risk Analyst.
Data Engineer
A Data Engineer builds and maintains data pipelines. This course provides an overview of data engineering and its applications in business. It also covers data engineering techniques and tools that are essential for Data Engineers. Taking this course will help you build a foundation in data engineering and prepare you for a career as a Data Engineer.
Database Administrator
A Database Administrator manages and maintains databases. This course provides an overview of database administration and its applications in business. It also covers database administration techniques and tools that are essential for Database Administrators. Taking this course will help you build a foundation in database administration and prepare you for a career as a Database Administrator.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course provides an overview of software engineering and its applications in business. It also covers software engineering techniques and tools that are essential for Software Engineers. Taking this course will help you build a foundation in software engineering and prepare you for a career as a Software Engineer.
Project Manager
A Project Manager plans, executes, and closes projects. This course provides an overview of project management and its applications in business. It also covers project management techniques and tools that are essential for Project Managers. Taking this course will help you build a foundation in project management and prepare you for a career as a Project Manager.
Business Development Manager
A Business Development Manager develops and executes business plans. This course provides an overview of business development and its applications in business. It also covers business development techniques and tools that are essential for Business Development Managers. Taking this course will help you build a foundation in business development and prepare you for a career as a Business Development Manager.
Product Manager
A Product Manager plans, develops, and launches products. This course provides an overview of product management and its applications in business. It also covers product management techniques and tools that are essential for Product Managers. Taking this course will help you build a foundation in product management and prepare you for a career as a Product Manager.
Marketing Manager
A Marketing Manager plans, executes, and evaluates marketing campaigns. This course provides an overview of marketing and its applications in business. It also covers marketing techniques and tools that are essential for Marketing Managers. Taking this course will help you build a foundation in marketing and prepare you for a career as a Marketing Manager.
Sales Manager
A Sales Manager plans, executes, and evaluates sales strategies. This course provides an overview of sales and its applications in business. It also covers sales techniques and tools that are essential for Sales Managers. Taking this course will help you build a foundation in sales and prepare you for a career as a Sales Manager.

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in 大數據分析:商業應用與策略管理 (Big Data Analytics: Business Applications and Strategic Decisions).
Provides a comprehensive overview of statistical learning. It is written in a clear and concise style and is suitable for readers with some prior knowledge of mathematics and statistics.
這本書介紹了機器學習的原理和方法。對於想要學習如何使用機器學習進行數據分析的讀者來說,這本書是一個很好的選擇。
本書係由資深教授及業界專家共同規劃編寫,以應用為導向,由淺入深地介紹大數據概念,主要探討資料科學與商務分析的觀念、技術與應用案例。適合商務人士及大數據領域相關從業人員閱讀。
Provides a comprehensive overview of big data analytics, including the technologies, techniques, and applications. It is written in a non-technical style and is suitable for readers with little or no prior knowledge of big data.
Provides a comprehensive overview of Python for data analysis. It covers all the major topics in data analysis, including data manipulation, data visualization, and machine learning.
Provides a comprehensive overview of R for data science. It covers all the major topics in data science, including data manipulation, data visualization, and machine learning.
Provides a comprehensive overview of machine learning algorithms and techniques. It is written in a practical style and is suitable for readers with some prior knowledge of programming.
Provides a hands-on introduction to data science. It is written in a clear and concise style and is suitable for readers with little or no prior knowledge of data science.
Provides a comprehensive overview of deep learning techniques for natural language processing. It is written in a clear and concise style and is suitable for readers with some prior knowledge of deep learning.
Provides a gentle introduction to data analytics. It is written in a clear and concise style and is suitable for readers with little or no prior knowledge of data analysis.
這本書提供了社會媒體行銷的全面介紹。對於想要了解社會媒體行銷的讀者來說,這本書是一個很好的選擇。

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