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Course Description

This course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure. This course also discusses selecting variables and interactions, recoding categorical variables based on the smooth weight of evidence, assessing models, treating missing values, and using efficiency techniques for massive data sets. You learn to use logistic regression to model an individual's behavior as a function of known inputs, create effect plots and odds ratio plots, handle missing data values, and tackle multicollinearity in your predictors. You also learn to assess model performance and compare models.
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Enroll Now - Select a section to enroll in

Section Title
Predictive Modeling with Logistic Regression using SAS
Language of Delivery
English
Section Schedule
Date and Time TBA
Course Fee(s)
Course Fee non-credit $49.00
Drop Request Deadline
TBD
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