courses

Logistic Regression using SAS – Indepth Predictive Modeling free download

Logistic Regression using SAS - Indepth Predictive Modeling free download
This course will teach you how to use SAS to build credit scoring and logistic regression models . SAS understanding is required . There is a promise that the course will explain concepts in a clear and concise manner, as well as go over practical issues that analysts face . Some of the topics that will be discussed include: Examine the model’s evolution in detail. Learn how to read SAS program output and interpret it. Use SAS to develop models using science. Discover how to build models. Examine models’ evolution and examine them in detail . Use the SAS program to understand and interpret the output of the model. Use this information to help you understand and understand your data.

What you’ll learn in Logistic Regression using SAS – Indepth Predictive Modeling

  1. Discover how to develop models.
  2. Find out just how to establish designs utilizing scientific research.
  3. For numerous actions, you’ll need to recognize the SAS program.
  4. Learn just how to check out SAS program result and also interpret it.
  5. Analyze the design’s evolution thoroughly.

  • SAS understanding is called for.

Description

What will you discover in this program?
This course will educate you exactly how to use SAS to develop credit scoring as well as logistic regression designs.
There is an assurance that the course will certainly clarify principles in a clear and concise way, in addition to go over sensible issues that experts face. Some of the topics that will certainly be gone over consist of:

Who this course is for:

  • Students
  • Analysts / Analytics professional
  • Modelers / Statisticians
File Name :Logistic Regression using SAS – Indepth Predictive Modeling free download
Content Source:udemy
Genre / Category:Business
File Size :3.23 gb
Publisher :Gopal Prasad Malakar
Updated and Published:02 Feb,2022

You may also like

Leave a reply

Your email address will not be published.

More in courses