Actuarial data and analysis subject presents statistical learning and its application to analyze financial, mortality, health or insurance data. The analysis results will help managers to evaluate insurance premium, quantify risk level and make better decision. The statistical learning algorithms covered in this subject include regression, classification, re-sampling, decision tree, SVM, clustering and some other supervised and unsupervised techniques. This subject also introduces criteria for model selection.