105年第1學期-6050 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 |
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選課分析
本課程名額為 70人，已有16 人選讀，尚餘名額54人。
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授課教師
傅郁芬教育目標
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 Enterprise Guide and SAS Enterprise Miner throughout the course.
課程資訊
基本資料
選修課，學分數：3-0
上課時間：三/6,7,8
修課班級：財金碩1,2
修課年級：年級以上
選課備註：
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 HourM318, 10:00-12:00, Tuesday
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 Essentials: Mastering SAS for Data Analytics, 2015, by Alan C. Elliott (Author), Wayne A. Woodward.
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
Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT: Theory and Applications,by Iain L. J. Brown
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