109年第2學期-6020 財金大數據分析 課程資訊
評分方式
評分項目 | 配分比例 | 說明 |
---|---|---|
Assignments/Participation | 30 | |
Term Project | 30 | |
Quizzes/Exams | 40 |
選課分析
本課程名額為 70人,已有43 人選讀,尚餘名額27人。
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教育目標
Big data is a term that describes the large volume of data - both structured and unstructured. Big data can be analyzed for insights that lead to better decisions and strategic business moves. In this course, we provide introductory and advanced knowledge to use SAS software for financial big data analysis. We will introduce the essential methodology using SAS for data analytics, business analytics and financial research, with the focus on the application of business and financial analysis. Students are expected to learn the basic SAS programming techniques, as well as financial data analysis skills using SAS SAS windowing environment throughout the course.
課程資訊
基本資料
選修課,學分數:0-3
上課時間:四/5,6,7[M025]
修課班級:財金系3,4,碩1
修課年級:年級以上
選課備註:電腦教室上課
教師與教學助理
授課教師:傅郁芬
大班TA或教學助理:尚無資料
Office HourBy Appointment
M318
授課大綱
授課大綱:開啟授課大綱(授課計畫表)
(開在新視窗)
參考書目
SAS Programming 1: Essentials
SAS Programming 2: Data Manipulation Techniques
Instructor’s Lecture Notes
Learning SAS by Example: A Programmer's Guide, 2007, by Ron Cody
The Little SAS Book, 2012, Fifth Edition, by Lora D. Delwiche, Susan J. Slaughter
Cody's Data Cleaning Techniques Using SAS, Second Edition, 2008, 2nd Edition, by Ron Cody
SAS Statistics by Example, 2012, by Ron Cody
Using SAS in Financial Research, 2002, by Ekkehart Boehmer and John Paul Broussard
Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner: A Beginner's Guide, 2014, by Olivia Parr-Rud
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