Logistic Regression using SAS - Indepth Predictive Modeling
What you'll learn
- Learn model development
- Understand the science behind model development
- Understand the SAS program required for various steps
- Get comfortable with interpretation of SAS program output
- See the step by step model development
Requirements
- Basic knowledge of SAS
Description
What is this course all about?
This course is all about credit scoring / logistic regression model building using SAS. It explains
There course promises to explain concepts in a crystal clear manner. It goes through the practical issue faced by analyst. Some of the discussion item would be
- How to clarify objective and ensure data sufficiency?
- How do you decide the performance window?
- How do you perform data treatment
- How to go for variable selection? How to deal with numeric variables and character variables?
- How do you treat multi collinerity scientifically?
- How do you understand the strength of your model?
- How do you validate your model?
- How do you interpret SAS output and develop next SAS code accordingly?
- Step by step workout - model development on an example data set
What kind of material is included?
It consists of video recording of screen (audio visual screen capture), pdf of presentations, Excel data for workout, word document containing code and Excel document containing step by step model development workout details
How long the course will take to complete?
Approximately 30 hours
How is the course structured?
It has seven sections, which step by step explains model development
Why Take this course?
The course is more intended towards students / analytics professionals to
- Get crystal clear understanding
- Get jobs in this kind of work by clearing interview with confidence
- Be successful at their statistical or analytical profession due to the quality output they produce
Who this course is for:
- Students
- Analysts / Analytics professional
- Modelers / Statisticians
Instructor
I am a seasoned Analytics professional with 20+ years of professional experience. I have industry experience of impactful and actionable analytics, data science, decision strategy and enterprise wise data strategy.
I am a keen trainer, who believes that training is all about making users understand the concepts. If students remain confused after the training, the training is useless. I ensure that after my training, students (or partcipants) are crystal clear on how to use the learning in their business scenarios.
My expertise is in Credit Card Business, Scoring (econometrics based model development), score management, loss forecasting, business intelligence systems like tableau /SAS Visual Analytics, MS access based database application development, Enterprise wide big data framework and streaming analysis.
Please refer to my course for
- SAS / R program details (syntax and options)
- SAS / R output deep dive
- Practical usage in Industrial situation