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Predictive Modeling with Logistic Regression using SAS
This course is part of SAS Statistical Business Analyst Professional Certificate.
Course Cost
Free course
Intermediate
Skill Level
14 Hours
Self-paced lessons
This intermediate course focuses on developing predictive models using logistic regression in SAS/STAT software, with particular emphasis on the LOGISTIC procedure. Students learn a comprehensive approach to building effective classification models for predicting binary outcomes. The curriculum covers the entire modeling workflow, beginning with fundamental concepts of predictive modeling and understanding the logistic regression framework. Students learn to handle common data challenges including missing values, categorical predictors with many levels, redundant variables, and nonlinear relationships. The course teaches advanced techniques such as smoothed weight-of-evidence coding, variable clustering to reduce redundancy, and various methods for variable selection including stepwise selection and best-subsets approaches. Students also learn how to detect and incorporate interactions between variables. The course places significant emphasis on model assessment, covering ROC curves, confusion matrices, profit-based performance measures, and methods for comparing multiple models. Throughout the course, students work with real business scenarios such as target marketing for a bank, providing hands-on experience with practical applications of logistic regression.
7,887 Enrolled
English
What you'll learn
Apply logistic regression to model binary outcomes in business scenarios
Handle missing values through imputation techniques with appropriate indicators
Transform categorical variables using methods like collapsing and weight-of-evidence coding
Reduce redundancy among predictors using variable clustering methods
Identify and address nonlinear relationships between predictors and response
Select optimal variables and interactions using stepwise and best-subsets selection
Evaluate model performance using ROC curves, confusion matrices and profit measures
Compare multiple models to select the most effective for deployment
Skills you'll gain
This course includes:
5.5 Hours PreRecorded video
40 assignments
Access on Mobile, Desktop, Tablet
FullTime access
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There are 7 modules in this course
This comprehensive course teaches predictive modeling with logistic regression using SAS software. It begins with fundamentals of predictive modeling, exploring business scenarios and analytical challenges. Students then learn the concepts of logistic regression, including odds ratios, maximum likelihood estimation, and scoring new cases. The course dedicates significant attention to preparing input variables, covering techniques for handling missing values, dealing with categorical predictors, reducing redundancy through variable clustering, and addressing nonlinear relationships. Advanced variable selection methods are taught, including stepwise selection, backward elimination, and best-subsets selection, along with techniques for detecting and modeling interactions. The final sections focus on model performance assessment using various metrics such as ROC curves, confusion matrices, and profit-based measures. Throughout the course, students work with practical business scenarios, learning both the theoretical foundations and the hands-on implementation using SAS procedures.
Course Overview and Logistics
Module 1 · 1 Hours to complete
Understanding Predictive Modeling
Module 2 · 1 Hours to complete
Fitting the Model
Module 3 · 2 Hours to complete
Preparing the Input Variables, Part 1
Module 4 · 3 Hours to complete
Preparing the Input Variables, Part 2
Module 5 · 4 Hours to complete
Measuring Model Performance
Module 6 · 2 Hours to complete
SAS Certification Practice Exam - Statistical Business Analysis Using SAS®9: Regression and Modeling
Module 7 · 1 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: SAS Statistical Business Analyst Professional Certificate
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
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