Data Mining - Spring 2020

Explore comprehensive data mining techniques and methodologies through this university-level course from the University of Utah's Data Science program. Master fundamental concepts including data preprocessing, pattern recognition, classification algorithms, clustering techniques, association rule mining, and predictive modeling. Learn to extract meaningful insights from large datasets using various statistical and computational approaches. Develop skills in data visualization, feature selection, and model evaluation while working with real-world datasets. Gain hands-on experience with popular data mining tools and algorithms such as decision trees, neural networks, support vector machines, and ensemble methods. Understand the ethical considerations and best practices in data mining applications across different industries. Build proficiency in handling structured and unstructured data, implementing dimensionality reduction techniques, and interpreting mining results for business intelligence and research purposes. The course culminates with a poster session where students present their data mining projects, demonstrating practical application of learned concepts and methodologies.