本課程主要目標在於介紹一些在業界或學術界常用之統計軟體，因應大數據時代統計分析的需求及應用
我們課程將著重於這些軟體包括Ｒ、SAS、Python。課程主要涵蓋如何利用這些軟體所提供之相關統計方法來做實際資料分析。The main goal of this course is to introduce some statistical software commonly used in industry or academia to meet the needs and applications of statistical analysis in the era of big data.
Our courses will focus on these software including R, SAS, and Python. The course mainly covers how to use the relevant statistical methods provided by these software to conduct actual data analysis.
本課程主要目標在於介紹一些在業界或學術界常用之統計軟體，這些軟體包括Splus、SAS、SPSS以及Excel。課程主要涵蓋如何利用這些軟體所提供之相關統計方法來做實際資料分析。
The main goal of this course is to introduce some statistical software commonly used in industry or academia, including Splus, SAS, SPSS and Excel. The course mainly covers how to use the relevant statistical methods provided by these software to conduct actual data analysis.
1. 輕鬆學習R語言：從基礎到應用，掌握資料科學的關鍵能力 (作者： 郭耀仁 出版社：碁峰)
2. SAS 123(第八版) (作者： 彭昭英, 唐麗英 出版社：儒林)
1. Learn R language easily: from basics to application, master the key capabilities of data science (Author: Guo Yaoren Publisher: Qi Feng)
2. SAS 123 (Eighth Edition) (Author: Peng Zhaoying, Tang Liying Publisher: Rulin)
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| Attendance Attendance attendance |
10 | |
| 上課練習上課練習 Practice in class |
30 | |
| Midterm ExamMidterm Exam midterm exam |
30 | |
| Final ExamFinal Exam final exam |
30 |
