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COSCĀ 6335. Big Data Analytics. 3 Hours.

Students examine advanced analytic techniques, methodologies, and tools for processing big data whose volume, velocity, and variety are unconventional. Topics include types and characteristics of big data, flexible data storage and cost-effective data processing techniques and methodologies, trends and research directions, and hands-on practices for collecting, storing, manipulating, visualizing, and analyzing big data. Particularly, students acquire hands-on big data analytics and data science skills with open-source computing platforms and tools.
Prerequisite: Graduate Standing.