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)