1595 - Python資料科學與應用
Applied Data Science with Python
教育目標 Course Target
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.
課程概述 Course Description
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.
參考書目 Reference Books
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 semester starts.
評分方式 Grading
評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
---|---|---|
出席 Attend |
20 | 如後說明。 |
程式作業 Programming |
80 | 約 4~6 次作業,每次作業配分另行公布。 |
授課大綱 Course Plan
點擊下方連結查看詳細授課大綱
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相似課程 Related Courses
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 1595
- 學分 Credit: 0-3
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上課時間 Course Time:Tuesday/5,6,7[M007]
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授課教師 Teacher:余心淳
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修課班級 Class:統計系2-4
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選課備註 Memo:有修過Python程式設計相關課程方可修課,大數據資料群組(109-113適用)
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