本課程教授 Python 資料科學相關套件的使用，從資料處理、資料分析、視覺化、資料與檔案讀寫、正規表達式、網頁資料擷取等處理步驟。課程內容除了介紹各種套件的函式庫，講解多種資料科學應用實例的程式設計與處理分析，以訓練與協助同學在未來可實作深入進階的資料科學專案。This course teaches the use of Python data science-related suites, from data processing, data analysis, visualization, data and file reading, formal expression, web data extraction and other processing steps. In addition to introducing various suites of libraries, the course content explains the programming and processing analysis of various data science application examples, so as to train and help students to make in-depth data science projects in the future.
本課程目標為教導統計系大學部學生如何以資料科學(Data Science)的方式來萃取知識與情報，並訓練學生具備統計、程式設計與專業領域等方面的整合技能，以培養學生成為可解決跨領域應用的資料科學家。
The purpose of this course is to teach students in the university department of the Department of Statistics to extract knowledge and information through Data Science, and train students to integrate skills in disciplines, programming and professional fields to cultivate learning generation as a solution-based cross-span Data scientists in the field of application.
教科書：
※ 課程使用的教科書於開學後會另行通知。
Textbook:
※ The textbooks used in the course will be notified separately after the start of study.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 出席出席 Attend |
20 | 如後說明。 |
| 程式作業程式作業 Programming |
80 | 約 4~6 次作業，每次作業配分另行公布。 |
