SAS® Programming 1: Essentials
Training duration: 24 academic hours (3 days)
Target audience: Anyone getting started writing SAS programs.
Prerequisites:
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.
The training is held in cooperation with our partner QA.
Contents of this training
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.
Introduction
- overview of SAS Foundation
- course logistics
- course data files
SAS Programs
- introduction to SAS programs
- submitting a SAS program
- SAS program syntax
Accessing Data
- examining SAS data sets
- accessing SAS libraries
Producing Detail Reports
- subsetting report data
- sorting and grouping report data
- enhancing reports
Formatting Data Values
- using SAS formats
- creating user-defined formats
Reading SAS Data Sets
- reading a SAS data set
- customizing a SAS data set
Reading Spreadsheet and Database Data
- reading spreadsheet data
- reading database data
Reading Raw Data Files
- introduction to reading raw data files
- reading standard delimited data
- reading nonstandard delimited data
- handling missing data
Manipulating Data
- using SAS functions
- conditional processing
Combining Data Sets
- concatenating data sets
- merging data sets one-to-one
- merging data sets one-to-many
- merging data sets with nonmatches
Creating Summary Reports
- using the FREQ procedure
- using the MEANS and UNIVARIATE procedures
- using the Output Delivery System
Learning More
-
- SAS resources
- next steps
Intended outcome
At the end of the course attendees will be able to:
- navigate the SAS windowing environment
- navigate the SAS Enterprise Guide programming 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
- validate SAS data sets.
Price includes:
- virtual training;
- course materials;
- certificate.
Täienduskoolituse õppekavarühm: informatsiooni- ja kommunikatsioonitehnoloogia interdistsiplinaarne õppekavarühm
Trainer
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QA official trainer