本課程旨以廣義線性模型之應用為主軸，探討一些重要的統計分析方法，主要是讓學習者能選擇適當的統計模型來進行數據分析及詮釋結果，以SAS為主輔以Splus做為資料分析之用。另一方面，本課程亦將就近年來方興未艾的大數據分析與統計資料分析之異同做一簡要介紹。This course aims to focus on the application of generalized linear models and explore some important statistical analysis methods. It mainly enables learners to choose appropriate statistical models for data analysis and interpretation of results. It uses SAS as the main method and Splus as the main method for data analysis. Use. On the other hand, this course will also give a brief introduction to the similarities and differences between big data analysis and statistical data analysis, which have been booming in recent years.
本課程旨以廣義線性模型之應用為主軸，探討一些重要的統計分析方法，主要是讓學習者能選擇適當的統計模型來進行數據分析及詮釋結果，以SAS為主輔以Splus做為資料分析之用。另一方面，本課程亦將就近年來方興未艾的大數據分析與統計資料分析之異同做一簡要介紹。
This course aims to focus on the application of generalized linear models and explore some important statistical analysis methods. It mainly enables learners to choose appropriate statistical models for data analysis and interpretation of results. It uses SAS as the main method and Splus as the main method for data analysis. Use. On the other hand, this course will also give a brief introduction to the similarities and differences between big data analysis and statistical data analysis, which have been booming in recent years.
相關參考書及學術網路上之教材
Relevant reference books and teaching materials on academic websites
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中考期中考 midterm exam |
25 | |
| 作業作業 Homework |
25 | |
| 期末報告及課堂參與期末報告及課堂參與 Final report and class participation |
50 |
