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(Big Data)、或巨量資料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。
因此，本課程旨在帶領學生進入運算思維、公共資料、資料科學、程式語言設計的理論與實務殿堂，為學生將來學習以議題為導向、結合跨領域專長的循證(evidence-based)公共決策之知識與技能做準備。
The Harvard Business Review in October 2012 called data scientists "Data Scientist: The Sexiest Job of the 21st Century", the most representative of the new jobs created by big data or huge data trends, can analyze data and interpret ideas through computer calculations. Data scientists are the most popular celebrity careers in the future. According to data software-related professionals, a graduating student with data collection and analysis, "starting salary starts at 44K!" If a data exploration talent with one year to two years experience has an average monthly salary of even 70,000 yuan, it is not a problem. In other words, being a data scientist is equivalent to having an entry voucher with an annual salary of one million yuan.
"Harvard Business Review" gives data scientists a definition: "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.
Therefore, this course aims to lead students into the theories and practice halls of computing thinking, public data, data science, and programming language design, and prepare students to learn knowledge and skills that are directed by topics and combine cross-domain experts' knowledge and skills.
1. R語言-邁向 Big Data之路 (最新版)。洪錦魁、蔡桂宏，二版，台北市：深石數位，出版日期：2017.07。(必備)
2. 中、英文書籍與期刊論文。
1. R Language - The Road to Big Data (Latest Edition). Hong Jinkui and Cai Guihong, Second Edition, Taipei City: Shenshi Digital, Publication Date: 2017.07. (Required)
2. Chinese and English books and journals.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 作業與出席作業與出席 Work and attendance |
40 | |
| 期中考試期中考試 Midterm exam |
30 | |
| 學期考試學期考試 Period exam |
30 |
