MDATA 520 - Predictive Modeling Algorithms and Data Products

Credits: (3)
This course focuses primarily on the data product portion of the data science lifecycle, and the associated modeling algorithms. Topics are selected from statistical inference, regression, classification, machine learning, natural language processing, and neural network models. The course seeks to examine the assumptions, capabilities, limitations, and advantages of these models within the context of application areas. The R computing environment continues to be leveraged along with expansion to other key skills such as advanced data visualization including higher dimensional data. Projects throughout course provide opportunity to demonstrate mastery of data model and data product concepts. Prerequisite(s): MDATA 510

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