DATA 350 - Business Data Analytics II

3 credit(s)
In this course, we study data using operational and statistical analysis, and optimization techniques. Topics include data inspection, preparation, transformation, summary, visualization, statistical inference, regression analysis, and data mining. It provides analytical tools and alternative methods that help business communication, performance evaluation, output prediction, and decision-making. For each of the analysis techniques, the methodology will be developed and applied in a real business context. Real data from all business disciplines will be used to emphasize problem description, definition, and formulation. Python language will be used extensively throughout the course, primarily by using available programs to perform the calculations after the problem has been correctly formulated. Emphasis will be placed on the interpretation and implementation of results.
Prerequisite(s): DATA 230.

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