使學生對各類型資料之處理與分析有基本的了解。課程涵蓋資料收集、探索、建模、推論與預測等核心內容。
Enable students to have a basic understanding of the processing and analysis of various types of data. The course covers core content such as data collection, exploration, modeling, recommendation and prediction.
1. Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani (2021). An Introduction to Statistical Learning:with Applications in R. 2nd edition. Springer.
2. Rafael A. Irizarry (2019). Introduction to data science: Data analysis and prediction algorithms with R. CRCPress.
1. Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani (2021). An Introduction to Statistical Learning:with Applications in R. 2nd edition. Springer.
2. Rafael A. Irizarry (2019). Introduction to data science: Data analysis and prediction algorithms with R. CRCPress.
| 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 Action |
25 | |
| 期中考期中考 Midterm exam |
25 | |
| 期末考期末考 Final exam |
25 |
