SAS(R) Programming 2: Data Manipulation Techniques

Course code: PG2V2

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.
1 080 EUR

1 307 EUR including VAT

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Course dates

Starting date: Upon request

Type: E-learning

Course duration: 21 hours

Language: en

Price without VAT: 1 080 EUR

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Starting date: Upon request

Type: Upon request

Course duration: 17h 30min

Language: en

Price without VAT: 1 800 EUR

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date
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Type Course
duration
Language Price without VAT
Upon request E-learning 21 hours en 1 080 EUR Register
Upon request Upon request 17h 30min en 1 800 EUR Register
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Target group

Business analysts and SAS programmers

Course structure

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.

Prerequisites

Before attending this course, you should have knowledge equivalent to having completed the SAS Programming 1: Essentials course. Specifically, 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.
  • Do you need advice or a tailor-made course?

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