This outline is provisional and subject to change.
This short course provides an introduction for experienced R and Python users who want to apply their existing skills and extend them to the SAS environment. Emphasis is placed on programming and not statistical theory or interpretation.
Please note: This is a taster course providing an overview of the listed SAS tool(s) and capabilities. For more comprehensive training, please consider the SAS Viya and R Integration for Machine Learning course and/or SAS Viya and Python Integration for Machine Learning course. Attendees who complete this short course and wish to complete the associated comprehensive training may be eligible for a discount.
This outline is provisional and subject to change.
Students should have knowledge of plotting, manipulating data, iterative processing, and creating and applying functions. They should also have knowledge of linear models, generalized linear models, mixed models, stepwise model selection, matrix algebra, and statistical simulations.
This outline is provisional and subject to change.