INFS 762 - Data Warehousing and Data Mining

3 credits

This course first offers an understanding of the main concepts, components, architectures, and design of Data Warehouses. It also introduces data warehousing related repositories including data marts, data lakes and data reservoirs. The course then provides an understanding of data mining/machine learning methodology as well as hands-on experience with applying the methodology to extract insights from data stored in various repositories. Different aspects of data mining such as data import, data exploration, feature transformation and selection, data partitioning, model building, and model assessment will be covered. Prerequisite(s): INFS 605 and INFS 760 Corequisite(s): INFS 760

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INFS 762 - Data Warehousing and Data Mining