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 packages, from data processing, data analysis, visualization, data and file reading and writing, regular expressions, web page data extraction and other processing steps. In addition to introducing the function libraries of various packages, the course content also explains the programming and processing analysis of various data science application examples to train and assist students in implementing in-depth and advanced 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 goal of this course is to teach undergraduate students of the Department of Statistics how to extract knowledge and information through data science, and to train students to have integrated skills in statistics, programming and professional fields, so as to train students to become data scientists who can solve cross-field applications.

教科書：
※ 本課程使用自編教材。

參考書：
1."資料科學基礎數學 (Essential Math for Data Science)"，Thomas Nield 著 楊新章 譯，歐萊禮，2023
2."資料科學的建模基礎 : 別急著 coding！你知道模型的陷阱嗎？"，江崎貴裕 著 王心薇 譯，旗標，2021
3."文科生也看得懂的資料科學"，Annalyn Ng & Kenneth Soo著，碁峰，2018
4."Python資料科學實戰教本: 爬蟲、清理、資料庫、視覺化、探索式分析、機器學習建模, 數據工程一次搞定!"，陳會安著，旗標，2022
5."一行指令學 Python－用 Pandas 掌握商務大數據分析(二版)"，徐聖訓著，全華圖書，2022

Textbook:
※ This course uses self-compiled teaching materials.

Reference books:
1. "Essential Math for Data Science", written by Thomas Nield and translated by Yang Xinzhang, O'Reilly, 2023
2. "Basics of Modeling in Data Science: Don't rush to code! Do you know the traps of models?", written by Takahiro Ezaki and translated by Wang Xinwei, Banner, 2021
3. "Data Science that Liberal Arts Students Can Understand", by Annalyn Ng & Kenneth Soo, Qi Feng, 2018
4. "Python data science practical textbook: crawlers, cleaning, databases, visualization, exploratory analysis, machine learning modeling, data engineering is done in one go!", by Chen Hui'an, Banner, 2022
5. "Learn Python with One Line of Instructions - Master Business Big Data Analysis with Pandas (Second Edition)", written by Xu Shengxun, Quanhua Books, 2022