SAS® Life Science Analytics Framework Programming
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SAS® Life Science Analytics Framework Programming
Duration: 7.0 hours
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
    Prerequisites
    Before attending this course, you should have completed the SAS(R) Drug Development Essentials course.
    SAS Products Covered
    SAS Drug Development;SAS Life Science Analytics Framework
    Course Outline
    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.
    		•
    THIS COURSE IS PART OF

    SAS Health and Life Sciences Learning Subscription



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