This course is intended for experienced SAS Enterprise Guide users who want to learn more about advanced SAS Enterprise Guide techniques. It focuses on using the Query Builder within SAS Enterprise Guide, including manipulating character, numeric, and date values; converting variable type; and building conditional expressions using the Expression Builder. This course also addresses efficiency issues, such as joining tables and using a single query to group, summarize, and filter data.
Learn How To
Use tasks to transpose, stack, rank, and create a random sample of your data.Use functions to convert the data type from character to numeric and from numeric to character.Use conditional logic in the Query Builder to create new columns.Use multiple value prompts.Who Should Attend
Non-programmers with SAS Enterprise Guide experience, as well as experienced programmers with SAS Enterprise Guide experience
Prerequisites
Before attending this course, students should understand how to do the following: ;
Navigate the SAS Enterprise Guide environment. Create projects. Add data sources. Use tasks to accomplish basic analysis and reporting. Create queries. ;You can gain this knowledge by taking the SAS Enterprise Guide 1: Querying and Reporting course or by completing the Getting Started tutorial in SAS Enterprise Guide. No SAS or SQL programming experience is required.SAS Products Covered
SAS Analytics Pro;SAS Enterprise Guide;SAS Visual Data Discovery
Course Outline
Working with Data in a Project
Working with projects.Accessing data.Transforming SAS TablesAppend Tables task.Split Columns task.Stack Columns task.Random Sample task.Sort Data task.Manipulating Data ValuesIntroduction to SAS functions.Manipulating numeric values.Manipulating character values.Converting data type.Prompting and Conditional ProcessingMultiple values prompts.Range prompts.Conditional processing of project steps.Recoding Data ValuesRecoding values.Recoding values based on a condition.Writing CASE expressions.Creating and applying custom formats.Grouping and FilteringGrouping and summarizing data.Including detail and summarized data.Filtering summarized data in groups.
Live Instructor Dates