Professor
Dr. Azadeh Shakery
Content
This course provides a comprehensive introduction to leading data mining techniques for deriving insights from data. Core topics covered draw from the textbook "Data Mining: Concepts and Techniques" (Han, Kamber, Pei, 2022) and include:
- Data exploration and visualization
- Data warehousing
- Online analytical processing (OLAP)
- Frequent pattern mining
- Classification models
- Clustering analysis
- Deep learning, and outlier detection
Equal emphasis is placed on underlying theory and practical application using Python across domains like business, research, and public policy. Through real-world projects and assignments, students gain abundant hands-on experience leveraging these essential data mining approaches to uncover intelligence and inform data-driven decision making.
