2012年10月《哈佛商業評論》（Harvard Business Review）將能透過電腦演算分析資料、解讀意義的資料科學家（data scientist）稱為「21世紀最性感的工作」（Data Scientist: The Sexiest Job of the 21st Century），這是因應大數據(Big Data)、或巨量資料潮流所造就的新職種中，最具代表性的。《哈佛商業評論》曾為資料科學家下了一個定義：「資料科學家是懂得從今日如海嘯般非結構化資訊中，撈出重要商業問題解答的一群人。」事實上，資料科學家不只是要像哥倫布般，在茫茫大海中打開探照燈，找出有用的資料，還要如偵探小說家愛倫坡一樣，審視手上的資料，推理出問題的答案。
近幾年來，在大數據分析的基礎之上，人工智慧(Artificial Intelligence, or AI)與相關應用也已愈趨成熟與普及，並已在不同領域中發揮其無限的潛力與功效。
緣此，本課程旨在帶領公共事務碩士在職專班學生進入大數據與決策分析、人工智慧的理論與實務殿堂，提供學生一場域，藉由Python程式語言為工具、以議題分析為導向，結合跨領域專長的專題形式，學習有關大數據資料科學與循證(evidence-based)公共決策、AI結合的基礎概念與相關技術等，也為同學將來成為資料科學家或AI專家做準備。課程內容主題包括：政府開放資料（Open Data）、大數據與資料分析（Big Data Analysis）、Python程式語言、機器學習。The October 2012 "Harvard Business Review" will be the most representative of the new jobs created by computer calculations and data scientists who can analyze data and interpret meanings through computer calculations. "Harvard Business Review" once gave a definition for data scientists: "Data scientists are a group of people who know how to answer important business questions from today's non-structured information like a sea." In fact, data scientists should not only open search lights in the vast ocean like Colembo and find useful information, but also examine the data in their hands and infer the answers to questions like the detective novelist Love Lenpo.
In recent years, based on large data analysis, artificial intelligence (Artificial Intelligence, or AI) and related applications have become increasingly mature and popularized, and have developed its infinite potential and efficacy in different fields.
In this way, this course aims to lead public affairs masters in professional course students into the halls of large data and decision analysis, theory and practice of artificial intelligence, and provide a student field, which combines cross-border through Python programming language as a tool and topic analysis as a direction. The specialized form of the field, learning about large data science and evidence-based public decisions, basic concepts and related technologies of AI integration, is also a preparation for students to become data scientists or AI experts. The subjects of the course include: Open Data, Big Data Analysis, Python programming language, and machine learning.
1. 第一次學 Python 就上手！。作者：陳惠貞。出版社：旗標。出版日期：2018/9。
2. 中、英文書籍與期刊論文。
1. Get started with Python for the first time! . Author: Chen Huiqian. Publisher: Flag mark. Publication date: 2018/9.
2. Chinese and English books and journals.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 上課參與和討論上課參與和討論 Participate in and discuss in class |
10 | |
| 平時讀書報告與作業平時讀書報告與作業 Reading reports and operations on the fly |
20 | |
| 個人專題1（口頭15%；書面20%）個人專題1（口頭15%；書面20%） Personal topic 1 (15% of mouth; 20% of book) |
35 | |
| 個人專題2（口頭15%；書面20%）個人專題2（口頭15%；書面20%） Personal topic 2 (15% mouth; 20% book) |
35 |
