This course will cover theories and applications of basic (statistical) data mining techniques including regression, classification and unsupervised learning.
1) Hastie, T., Tibshirani, R. and Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. (2nd edition). Springer.
2) James, G., Witten, D., Hastie, T. and Tibshirani, R. (2013). An Introduction to Statistical Learning: with Applications in R. Springer.