Common Learning Outcomes
07. [DL] Technological and digital literacy

The course introduces students to foundational components of data science and analytics. Topics include data acquisition, wrangling, cleaning, visualization, dataset organization and management, and algorithms for data analytics.
Prerequisite(s): DA 301 and CIS 310 (May also be taken as a corequisite); Corequisite(s): CIS 310 (May also be taken as a prerequisite); Course Rotation: Fall

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