- Specialization: Data Mining Foundations and Practice
- Instructor: Dr. Qin (Christine) Lv, Associate Professor of Computer Science
- Prior knowledge needed: Basic familiarity with Python, data structure and algorithms
This module provides an introduction to data mining and data mining pipeline, including the four views of data mining and the key components in the data mining pipeline.
This module covers data understanding by identifying key data properties and applying techniques to characterize different datasets.
This module explains why data preprocessing is needed and what techniques can be used to preprocess data.
This module covers the key characteristics of data warehousing and the techniques to support data warehousing.
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