Skills you'll gain

There are 7 modules in this course

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.

Understanding Predictive Modeling

Fitting the Model

Preparing the Input Variables, Part 1

Preparing the Input Variables, Part 2

Measuring Model Performance

SAS Certification Practice Exam - Statistical Business Analysis Using SAS®9: Regression and Modeling

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