This course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure.
Modelers, analysts and statisticians who need to build predictive models, particularly models from the banking, financial services, direct marketing, insurance and telecommunications industries
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.
Led by an expert instructor who can virtually look over your shoulder. Discuss, share, exchange ideas with students from different countries
Classroom training options include courses offered in our regional training centers or via our Live Web classroom.
Taught by certified instructors at high-tech facilities across the country
SAS e-Learning courses do not include SAS software. You must have SAS software installed to complete the practice exercises.
Before attending this course, you should
This course addresses SAS/STAT software.
Predictive Modeling
Fitting the Model
Preparing the Input Variables
Classifier Performance