SAS Programming 2: Data Manipulation Techniques

Kursarrangør: SAS Institute
Sted: SAS Institute
          Oslo, Frogner
Kursadresse: Parkveien 55, 0256 Oslo (kart)
Type:Nettkurs og nettstudie
Undervisningstid: Ta kontakt for informasjon
Varighet: 2 dager
Pris: 12.600
Neste kurs: 26.02.2024 | Vis alle kursdatoer

We arrange the course SAS Programming 2: Data Manipulation Techniques live web. This course is for those who need to learn data manipulation techniques using the SAS DATA step and procedures to access, transform, and summarize data.

The course builds on the concepts that are presented in the SAS Programming 1: Essentials course and is not recommended for beginning SAS software users.

Learn how to
• Understand and control DATA step processing.
• Create an accumulating column and process data in groups.
• Manipulate data with functions.
• Convert column type.
• Create custom formats.
• Concatenate and merge tables.
• Process repetitive code.
• Restructure tables.

Who should attend
Business analysts and SAS programmers


Before attending this course, you should be able to do the following:
• Write DATA step code to subset rows and columns, compute new columns, and process data conditionally.
• Sort tables using the SORT procedure.
• Apply SAS formats.

This course addresses Base SAS software.

Course Outline

Controlling DATA Step Processing

• Setting up for this course.
• Understanding DATA step processing.
• Directing DATA step output.

Summarizing Data
• Creating an accumulating column.
• Processing data in groups.

Manipulating Data with Functions
• Understanding SAS functions and CALL routines.
• Using numeric and date functions.
• Using character functions.
• Using special functions to convert column type.

Creating Custom Formats
• Creating and using custom formats.
• Creating custom formats from tables.

Combining Tables
• Concatenating tables.
• Merging tables.
• Identifying matching and nonmatching rows.

Processing Repetitive Code
• Using iterative DO loops.
• Using conditional DO loops.

Restructuring Tables
• Restructuring data with the DATA step.
• Restructuring data with the TRANSPOSE procedure.