The course introduces the subject of automatic/semi-automatic knowledge discovery from data. It gives an overview of the principles and applications of supervised/unsupervised learning, and reinforces the concepts with hands-on experience using some state-of-the-art software. The students will learn to apply different learning algorithms and evaluate them with appropriate statistical performance metrics and techniques that avoid overfitting. Students will also learn how corporations manage their data with dimensional models and OLAP for simple and fast data analysis.