Data Mining and Predictive Analytics
3.0
creditsAverage Course Rating
Many government agencies engage in data mining to detect unforeseen patterns and advanced analytics (such as classification techniques) to predict future outcomes. In this course, students will utilize IBM SPSS Modeler to investigate patterns and derive predictions in policy areas such as fraud, healthcare, fundraising, human resource and others. In addition, students will build segmentation models using clustering techniques in an applied manner. Integration with other statistical tools and visualization options will also be discussed. Prerequisite: 470.681 Probability and Statistics; Recommended: 470.709 Quantitative Methods
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