Predictive Modeling with Logistic Regression using SAS
By Coursera
on Coursera
· Data Science
About 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.
Instructor
Marc Huber
Frequently Asked Questions
How much does Predictive Modeling with Logistic Regression using SAS cost?
Visit the Predictive Modeling with Logistic Regression using SAS course page for current pricing and available discounts.
Who teaches Predictive Modeling with Logistic Regression using SAS ?
Predictive Modeling with Logistic Regression using SAS is taught by Marc Huber, SAS.
What skill level is Predictive Modeling with Logistic Regression using SAS for?
This course is designed for all levels learners.