This course introduces the users to the programming environment in SAS Life Science Analytics Framework 5.4.

Learn how to

• Use the SAS and R Program Editors to write and debug code.
• Create, run, and schedule jobs in the workspace and repository.
• Use relative paths and setup programs.
• Check job health status.
• Create a shared workspace.
• Manage SAS and R sessions.

Who should attend

Anyone in the organization who will use the SAS Life Science Analytics Framework solution for SAS or R programming

Formats available	Standard Duration
Classroom:	1 day

Before attending this course, you should have completed the SAS® Life Science Analytics Framework Essentials course.

This course addresses SAS Life Science Analytics Framework software.

Getting Started with the SAS Life Science Analytics Framework Programming Environment

• Introduction to the Life Science Analytics Framework programming environment.
• Using the SAS Program Editor in Life Science Analytics Framework.
• Executing a program.
• LIBNAME and FILENAME statements.
• System macro variables.
• Programming practices in Life Science Analytics Framework.

Working with Jobs

• Introduction to jobs.
• Transient workspace.
• Creating a job.
• Job parameters.
• Job execution: batch and interactive.
• Job manifest.
• Published job execution.
• Published history.
• Impact analysis.
• Running a job as the owner.
• Scheduling a job.
• Job subscriptions.

Advanced Programming Topics

• Setup/config programs.
• Relative paths.
• Sessions.
• Job of jobs.
• SAS API macros.
• Best practices.