本課程是什麼?本課程的宗旨為培養企管系學生具備「行銷數據分析思維」的素養,目的是訓練學生成為「商務分析師」。本課程不會也不想訓練學生成為資科科學家或資料工程師!其實務目標是讓學生修畢一學期的課程之後,即有能力與資料科學家或資料工程師「對話」。課程會以提升學生對於程式邏輯的理解與跨領域溝通能力為主,期望學生將來能與程式設計師溝通、進而換位思考,以增加企業管理系學生畢業後的職場競爭力。
What is this course? The purpose of this course is to cultivate students in the Department of Business Administration to have the quality of "marketing data analysis thinking", and the purpose is to train students to become "business analysts". This course does not and does not intend to train students to become data scientists or data engineers! Its practical goal is to enable students to have the ability to "dialogue" with data scientists or data engineers after completing a one-semester course. The course will focus on improving students' understanding of program logic and cross-domain communication skills. It is expected that students will be able to communicate with programmers in the future and then think from their perspective, so as to increase the career competitiveness of business management students after graduation.
徐聖訓(2019)。《一行指令學Python:用Pandas掌握商務大數據分析》。全華圖書
Yoon Hyup Hwang(2020)。《行銷資料科學實務:使用Python與R》。碁峰
Kotler and Keller (2019)。《行銷管理(第15版)》。華泰文化
Solomon(2016)。消費者行為(三版)。高立圖書(葉凱莉譯)
麥爾荀伯格、庫基耶(2013)。《大數據》。天下文化
Naomi Ceder(2019)。《Python 技術者們:練功!老手帶路教你精通正宗 Python 程式》。旗標
Sinan Ozdemir and Divya Susarla(2020)。《特徵工程不再難》。博碩
Foster Provost & Tom Fawcett(2016)。《資料科學的商業運用》。碁峯
Xu Shengxun (2019). "Learn Python with One Line of Instructions: Master Business Big Data Analysis with Pandas". Quanhua Books
Yoon Hyup Hwang (2020). "Marketing Information Science in Practice: Using Python and R". Qi Feng
Kotler and Keller (2019). "Marketing Management (15th Edition)". Huatai Culture
Solomon (2016). Consumer Behavior (3rd ed.). Gao Li Books (translated by Kelly Ye)
Meerschenberg, Cukier (2013). "Big Data". Tianxia Culture
Naomi Ceder (2019). "Python Techies: Practice!" Veterans will lead the way and teach you how to master authentic Python programming." flag
Sinan Ozdemir and Divya Susarla (2020). "Feature Engineering Isn't Hard Anymore". Master's degree
Foster Provost & Tom Fawcett (2016). "Business Applications of Data Science." Qi Feng
評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
---|---|---|
作業作業 Homework |
20 | |
專題專題 Topics |
50 | |
期中考期中考 midterm exam |
30 |