Schedule (tentative)

Monday, January 10: 
Introduction to data mining and predictive analytics (approach, concepts, applications)
Statistics vs. data mining
Interactive data visualization (software introduction, concepts, and hands-on experience)

Wednesday, January 12:
Supervised learning: Prediction and Classification
Evaluating predictive power

Thursday, January 13:
Supervised learning - cont.
Unsupervised learning (dimension reduction, clustering, association rules)