Learn logistic regression modeling in 1 week

Master predictive modeling through hands-on training. Learn to develop and validate logistic regression models with real-world project experience.

  • Overview
  • Curriculum
  • Instructor
  • Review

Brief Summary

This course is a super hands-on dive into predictive modeling. You’ll learn all about creating and understanding logistic regression models while working on real-world projects, with plenty of support and cool SAS tools to guide you along the way.

Key Points

  • Hands-on training for predictive modeling skills
  • Focus on developing and validating logistic regression models
  • 6-step modeling process for real-world projects
  • Extensive demos on SAS code development and outputs
  • Access to all SAS codes used in the course

Learning Outcomes

  • Develop a logistic regression model from scratch
  • Interpret and understand modeling results clearly
  • Present modeling findings effectively to others

About This Course

A hands-on, project-based training to help you quickly learn predictive modeling skills through real-world project work.

This is a hands-on training class for those of you who want to learn or improve predictive modeling skills. We will focus on developing and validating a logistic regression model in this class.

We will walk you through our 6-step modeling process step-by-step. Together, we will solve a real-world modeling project with real-world data. We will provide extensive demo on SAS code development, running SAS codes, and explaining SAS outputs. We will also provide you all the SAS codes used in this course.

At the end of the class, you should be able to develop a logistic regression model independently.

  • Learn how to develop a logistic regression model from the beginning to the end

  • Learn how to interpret modeling results

  • Learn how to present modeling results to others

Instructor

Profile photo of Predictive Analytics
Predictive Analytics

15+ years of professional experience on predictive modeling in different industries. Specialized in logistic regression, linear regression, generalized regression, survival analysis, decision tree, discriminant analysis, cluster analysis, and other advanced analytic. In-depth knowledge and experiences in customer acquisition, retention, and credit risk management. Developed training classes and taught classes to graduate students and other working professionals.

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Review
4.9 course rating
4K ratings
ui-avatar of Ken Wong
Ken W.
1.0
6 years ago

The delivery totally ignores the core concepts that the learners need to understand prior to showing the scripts. Furthermore, the instructor merely showed what the scripted stuff without explanation on the reason why certain steps were used. It took me one day to finish it without understanding anything on what the instructor was doing.

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ui-avatar of Harvey Goldhersz
Harvey G.
1.5
8 years ago

The instruction is very good. But I can't download the data and related files because the links are no longer working.

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ui-avatar of Lee Collins
Lee C.
3.0
8 years ago

For future SAS related courses, please consider using SAS Studio for your examples. Remember that most of your students are just that, students, who may not have access to SAS EG, but do hsve access to SAS Studio. Do this, and I'll bet that you get even more positive recommendations, as well as folks intersted in this course.

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