此課程為線上課程
大數據（Big data）、人工智慧（Artificial Intelligent），以及機器學習（machine learning）時代的來臨，如何從龐大的資料中挖掘出有用的資訊（information），進而產生知識（knowledge），讓我們更有智慧（intelligent）。如何從巨量資料中搜尋（collect）資料，並加以分析（analysis）找出其樣式（pattern），將它用於做出決策。
當今用於Big data的程式語言計有Python與R語言。這兩種語言各有其使用的對象，統計學派的人會用R語言，而具有程式設計背景的人會用Python來撰寫程式，以達到其目的。若你問我這兩種語言的差異，我會告訴你R好比是已做好的西裝，若袖長、肩寬或腰圍不合身，便加以修改，而Python語言則是量身定做，完成會符合你的需求。
This course is an online course
With the advent of the era of big data, artificial intelligence, and machine learning, how to mine useful information from huge amounts of data and then generate knowledge will allow us to be more Intelligent. How to collect data from huge amounts of data, analyze it to find its pattern, and use it to make decisions.
Today's programming languages used for Big data include Python and R language. Each of these two languages has its own uses. People who are in the statistics school will use R language, while people with a programming background will use Python to write programs to achieve their goals. If you ask me the difference between these two languages, I will tell you that R is like a suit that has been made. If the sleeve length, shoulder width or waistline does not fit, it is modified, while the Python language is tailor-made, and the completion will Meet your needs.
Python 3.x 程式語言特訓教材
講義
Python 3.x programming language special training materials
Handouts
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中考期中考 midterm exam |
30 | |
| 期末報告期末報告 Final report |
30 | |
| 作業與討論點名作業與討論點名 Assignment and discussion roll call |
40 |
