Discover how to apply your understanding of R—the language of big data—in the SAS environment.
Overview
Syllabus
Introduction
- Welcome
- Introduction to SAS and SAS Studio
- Demo: Working in SAS Studio
- Demo: Writing a program in SAS Studio
- Demo: Using tasks and snippets in SAS Studio
- Demo: Bayesian Logistic Regression
- Demo: Poker simulation
- Demo: Determining power using simulation
- Demo: Calling R from SAS
- SAS libraries and user-defined libraries
- SAS procedure syntax
- Getting programming help
- Demo: Navigating the online documentation
- Creating datasets manually in the DATA step
- Demo: Creating and viewing the data table
- Importing raw data files
- Demo: Importing data
- Reporting data
- Enhanced reporting: Labels and formats
- The FORMAT statement
- Demo: Labels, formats, and informats
- Creating new variables and conditional processing
- Conditionally creating variables with a DO group
- Using SAS functions
- Using SAS functions on character data
- Demo: SAS function documentation
- Creating functions for the DATA step
- Subsetting data
- Concatenating data sets
- Match-merging data sets
Taught by
Jordan Bakerman
