課程大綱

課程資訊
學年期 Semester	1142	課程代碼 Course Code	MA5101701
課程名稱 Course Title	大數據分析 Big Data Analysis
學分數 Credits	3	選必修 Required/Elective	選修 /半學年
上課時間教室 Time/Location	F2(TR-509) F3(TR-509) F4(TR-509)
先修課程 Prerequisite(s)
授課教師 Lecturer	何建韋 HO, CHIEN-WEI
專業核心能力 Core Professional Competencies	具備解決問題的能力

以下課程內容資料由授課教師提供
課程相關網址 Course Website	http://
課程宗旨 Objective of The Course	This course is designed for graduate students with little or no programming background who want to develop practical data analytics skills using Python and SQL. Students will learn fundamental programming logic, data manipulation, exploratory data analysis (EDA), visualization, and basic modeling.
課程大綱 Outline of Lectures	Introduction Fundamental Basic data type (Boolean, integer, floating, string) Data framework (list, tuple, dict, and set) Data structure (control flow, such as if-else) Data structure (function) Module and package (ex. tkinter to build the GUI; graphical user interface) Data processing and data analysis Pandas Numpy scipy.stats sklearn.linera_model scikit-learn Data visualization Matplotlib Databased (DB) SQL(structured query language)
教科書 Textbook
參考書目 References	Learning Python, O’Reilly Python for Data Analysis, O’Reilly
修課學生須知 Notice of course enrollment
評量方式 Grading	Mid-term exam (25%) Final group project (40%) Assignment or quiz (10%) Normal grades – homework, class performance and attendance record (25%)
備註說明 Note