2012年10月《哈佛商業評論》（Harvard Business Review）將資料科學家（data scientist）稱為「21世紀最性感的工作」（Data Scientist: The Sexiest Job of the 21st Century），這是因應大數據潮流所造就的新職種中，最具代表性的，能透過電腦演算分析資料、解讀意義。資料科學家是未來職場中最炙手可熱的明星職業，根據資料軟體相關業者指出，具備資料蒐集與分析的碩士畢業生，「起薪起碼44Ｋ起跳！」如果有一年至兩年經驗的資料探勘人才，平均月薪甚至領到七萬元，都不是問題，換句話說，當上資料科學家，等於擁有一張年薪百萬元的入場券。
《哈佛商業評論》給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。
無論是在台灣與世界其他地區，以議題為導向、結合跨領域專長的專題形式課程，已經是現在趨勢。議題導向的專題式課程，讓學生在自動自發尋求答案的過程中，自動自發學習需要的知識。因此，本課程旨在帶領已有Python程式語言設計基礎與經驗的同學，進入大數據(Big Data)、問題解決與決策分析的理論與實務殿堂，提供學生一場域，以議題為導向、結合跨領域專長的專題形式，學習有關資料科學與循證公共決策結合的基礎概念、與相關技術等，也為同學將來成為資料科學家做準備。In October 2012, Harvard Business Review called data scientist "Data Scientist: The Sexiest Job of the 21st Century". This was in response to the trend of big data. Among the new job types created, the most representative one is able to analyze data and interpret its meaning through computer calculations. Data scientists are the hottest star profession in the future workplace. According to data software related industry experts, graduates with a master's degree in data collection and analysis, "the starting salary starts at least 44K!" If data exploration talents have one to two years of experience, the average A monthly salary of even 70,000 yuan is not a problem. In other words, becoming a data scientist is equivalent to having a ticket to an annual salary of one million yuan.
"Harvard Business Review" gives a definition of data scientists: "Data scientists are a group of people who know how to extract answers to important business questions from today's tsunami of unstructured information." In fact, data scientists are not just like Columbus Like turning on a searchlight in the vast sea to find useful information, like the detective novelist Edgar Allan Poe, he also examined the information at hand and deduced the answer to the question.
Both in Taiwan and other parts of the world, topic-based courses that are topic-oriented and combine cross-field expertise are already a trend. Topic-oriented thematic courses allow students to automatically and spontaneously learn the knowledge they need in the process of automatically seeking answers. Therefore, this course aims to lead students who already have Python programming language design foundation and experience into the theoretical and practical palace of big data (Big Data), problem solving and decision-making analysis, and provide students with a field that is issue-oriented and combines cross-disciplinary In the special topic format of field expertise, students can learn basic concepts and related technologies related to the integration of data science and evidence-based public decision-making, and also prepare students to become data scientists in the future.
跨領域學 Python：資料科學基礎養成。施威銘研究室，臺北市：旗標，2020/11。
其他補充講義。
Learning Python across fields: Developing the basics of data science. Shi Weiming Research Laboratory, Taipei City: Qibiao, 2020/11.
Other supplementary handouts.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 個人專題一（書面報告）個人專題一（書面報告） Personal topic one (written report) |
30 | 以授課教師提供的資料分析；簡報與書面報告大綱—背景、欲解決的問題、資料內容與來源、資料處理與分析、分析結果、對政策的啟示。 |
| 個人專題二（書面報告）個人專題二（書面報告） Personal Topic 2 (Written Report) |
30 | 自行蒐集資料與訂定主題，單一資料集應有超過100,000筆資料。簡報與書面報告大綱，如個人專題一。 |
| 任一個人專題之口頭簡報任一個人專題之口頭簡報 Oral presentation on any individual topic |
20 | |
| 作業與出席作業與出席 Homework and Attendance |
20 |
