DATA 337 - Predictive Analytics

5 CR

Previously ISIT 337.
In this course students learn to go beyond simply querying data to do predictive data mining analysis. Students learn to apply data mining algorithms to realistic organizational data to find previously undiscovered patterns and draw conclusions. Students use current software tools and hands-on exercises to learn theoretical concepts.

Prerequisite(s): DATA 330 or ISIT 330 with a C or better.

Course Outcomes

Analyze the role of predictive analytics in an organization
Analyze the differences between predictive analytics (data mining) and Data Query
Analyze the nature of both supervised and unsupervised learning
Create a variety of data mining models using predictive analytic software
Select appropriate data mining techniques/algorithms for organizational needs
Evaluate data mining models to assess their effectiveness
Make predictions of future outcomes based upon data mining models
Articulate the ethical issues surrounding data mining

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