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Visual Analytics for Business Intelligence (IS428)

Course description

Data analysis and communications can be fun!  With visual analytics techniques and tools, everyday data analysts from various disciplines such business, economic, sociology, political science and public policy can now synthesize information and derive insight from massive, dynamic, ambiguous, and often conflicting data without having to deal with complex statistical formulas and programming.  Many companies and organization took notice when Gartner cited visual analytics as one of the top fiv...


Seminar Required

Graded, 1.0 Credit Units

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