This course teaches advanced data mining techniques using the Weka software, focusing on classification, clustering, association rules, and attribute selection. Students will learn how to apply these techniques to real-world datasets and evaluate the performance of different algorithms. The course is suitable for individuals with basic knowledge of data mining and Weka who want to deepen their understanding and skills in the field. The teaching method includes video lectures, readings, quizzes, and hands-on assignments to reinforce learning.