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statistical methods (e.g., HLM, SEM, non-linear dynamical systems) and programming skills (e.g., R, Python, MATLAB) as well as data mining techniques for analyzing performance outcomes, self-report measures
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, data conversions, and ERP development and database management. Utilizes statistical modeling and data mining techniques to analyze and report university data. Designs, codes, tests, debugs, integrates
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interpret graduate data by accessing institutional systems including Aurora, Pegasus Mine Portal, GradInfo, and PeopleSoft. Regularly monitor active student enrollment, candidacy progression, academic
Searches related to data mining
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