CIS 490
Introduction Data Science · 3 credits · Fall 2026
Requirements
Prerequisite: CIS 395 or department permission
About this course
This course introduces the fundamentals of managing large unstructured datasets that are in a variety of formats. The topics include the concept of big data, its characteristics (volume, velocity, variety, veracity); its data models (key value, graph etc.); its storage technologies (Hadoop); its processing tools (NoSQL, ETL, MapReduce) and its role in analytics.
Seat status as of Oct 3, 12:03 AM ET. Seats can change between refreshes.
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