1. Introduction R introduction
2. Data visualization Data visualization Lab MDS Ch 2-7, 14, 17 and wrangling
3. Statistical foundation Data wrangling Lab MDS Ch. 9
and Modeling ISLR Ch.2
4. Regression for Linear regression Lab MDS Appendix E.,
continuous outcome ISLR Ch. 3
5. GLM and GLM and MDS Ch. 10
resampling method resampling method Lab ISLR Ch. 5
6. Regularization Regularization Lab MDS Ch11.5
ISLR Ch. 6
7. Classification 1 (Na¨ıve bayes, Classification 1 Lab PSDS Ch.5
LDA, logistic regression) MDS Ch.10
8. Classification 2 Classification 2 Lab PSDS Ch.5
(MLE, confusion matrix) MDS Ch.10
9. 중간고사
10. Splines & GAM Spline& GAM Lab ISLR Ch. 7
11. Geospatial Data Geospatial Data Lab MDS Ch 17, 18
12. Text data Text data Lab MDS Ch 19,
TMwR Ch 1-6
13. Network data Network data Lab MDS Ch 20
Og2016, 2018
14. 기말 프로젝트