This course is for users who want to learn how to write SAS programs. It is the entry point to learning SAS programming and is a prerequisite to many other SAS courses. If you do not plan to write SAS programs and you prefer a point-and-click interface, you should attend the SAS® Enterprise Guide® 1: Querying and Reporting course.

• Navigate the SAS Studio programming environment.
• Navigate the SAS Enterprise Guide programming environment.
• Navigate the SAS windowing environment.
• Read various types of data into SAS data sets.
• Create SAS variables and subset data.
• Combine SAS data sets.
• Create and enhance listing and summary reports.

Quem poderá participar

Formatos disponíveis	Duração
Sala de Aula Virtual:	6 sessão(ões) de meio período
e-Learning:	21 horas/180 Dia licença

Before attending this course, you should have experience using computer software. Specifically, you should be able to:

• Understand file structures and system commands on your operating systems.
• Access data files on your operating systems.

No prior SAS experience is needed.

Este curso aborda Base SAS software.

This course also addresses SAS/ACCESS Interface to PC Files. This course is appropriate for students who are using SAS 9 software.

• Overview of SAS Foundation.
• Course logistics.
• Course data files.

• Introduction to SAS programs.
• Submitting a SAS program.
• SAS program syntax.

• Examining SAS data sets.
• Accessing SAS libraries.

• Subsetting report data.
• Sorting and grouping report data.
• Enhancing reports.

• Using SAS formats.
• Creating user-defined formats.

• Reading a SAS data set.
• Customizing a SAS data set.

• Reading spreadsheet data.
• Reading database data.

• Introduction to reading raw data files
• Reading standard delimited data.
• Reading nonstandard delimited data.
• Handling missing data.

• Using SAS functions.
• Conditional processing.

• Concatenating data sets.
• Merging data sets one to one.
• Merging data sets one to many.
• Merging data sets with nonmatches.

• Using the FREQ procedure.
• Using the MEANS and UNIVARIATE procedures.
• Using the Output Delivery System.

• SAS resources.
• Next steps.