Regression Methods Using SAS Viya
This course covers nine regression methods. The models include linear, logistic, quantile, generalized linear, generalized additive, mixed, survival, nonlinear, and partial least squares. The applications, strengths, and weaknesses of each method are discussed, along with how the methods are implemented in SAS Viya. A comparison of the SAS Viya procedures and SAS/STAT procedures for each method is also shown. Examples in the course show applications in banking, financial services, direct marketing, insurance, telecommunications, medical, and academic fields.
The self-study e-learning includes:
Who should attendBusiness analysts, social scientists, epidemiologists, and statisticians who want to see what SAS Viya has to offer in regression methods
Before attending this course, you should:
This course addresses SAS Viya software.
Introduction to SAS Viya
|Title||Duration||Access Period||Language||Fee||Add to Cart|
|Regression Methods Using SAS Viya (2020.1) (PDF + 20 virtual lab hours)||14.0 hours||180 days from order date||English||616 GBP|