Course Description
Definitions and applications; Market trends; Data analytics lifecycle; Data exploration and preprocessing; Data visualization; Theory, tools and methods; Introduction to Big data management, warehousing and processing. This course has practical assignments and term project. (3 Credit Hours)
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