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ASRM 552 PA - Predictive Analytics

Campus: Urbana-Champaign


Focuses on financial and insurance applications of statistical learning techniques to build predictive models, with integrated case studies and training on computational software packages and effective communication of statistical results. Topics include the model building process, data preparation, model selection, refinement and validation. Course Information: Same as STAT 541. 4 graduate hours. No professional credit. Approved for Letter and S/U grading. Prerequisite: ASRM 401 or STAT 410.

Special Instructions:

Class meetings are strongly recommended but students in faraway time zones may watch recordings later

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Spring


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