使學生具有應對各類型資料之處理能力與分析技能，並培養學生能熟悉撰寫Ｒ語言。課程涵蓋機率論、統計推論、線性迴歸和統計學習等概念。To enable students to have the processing and analysis skills to deal with various types of data, and to develop students to be familiar with writing R language. The course covers concepts such as probability theory, statistical inference, linear regression, and statistical learning.
1. Rafael A. Irizarry (2019). Introduction to data science: Data analysis and prediction algorithms with R. CRC Press.
2. Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani (2021). An Introduction to Statistical Learning: with Applications in R. 2nd edition. Springer.
1. Rafael A. Irizarry (2019). Introduction to data science: Data analysis and prediction algorithms with R. CRC Press.
2. Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani (2021). An Introduction to Statistical Learning: with Applications in R. 2nd edition. Springer.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 課堂參與課堂參與 class participation |
25 | |
| 作業作業 Homework |
25 | |
| 期中考期中考 midterm exam |
25 | |
| 期末考期末考 final exam |
25 |
