Predictive Modeling Using Logistic Regression

Register* for Upcoming Training

December 13 - 14, 2018

*Please Note: Completing the registration form will result in the generation of an invoice. Payment is expected within 30 days of course completion. Cancellation less than two weeks prior to class start date will result in a cancellation fee equal to 50% of the registration cost. No Exceptions.

Course Overview

TThis 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.

This course can help prepare you for the following certification exam(s): SAS Statistical Business Analysis Using SAS 9: Regression and Modeling, SAS Advanced Predictive Modeling.

Learn how to

• use logistic regression to model an individual's behavior as a function of known inputs
• create effect plots and odds ratio plots using ODS Statistical Graphics
• handle missing data values
• tackle multicollinearity in your predictors
• assess model performance and compare models.

Who should attend
Modelers, analysts and statisticians who need to build predictive models, particularly models from the banking, financial services, direct marketing, insurance and telecommunications industries.

Prerequisites

Before attending this course, you should 

• have experience executing SAS programs and creating SAS data sets, which you can gain from the SAS Programming 2: Data Manipulation Techniques course 
• have experience building statistical models using SAS software 
• have completed a statistics course that covers linear regression and logistic regression, such as the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course.

This course addresses SAS/STAT software. 

Pricing

Predictive Modeling Using Logistic Regression: $1,600

Course Outline

Note: This course will last all day for the length of the course. Most classes will start at 9:00AM and end at 5:00PM.