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Learning the SAS Viya Platform

Getting Started with the SAS Viya Platform

Accessing Data

Understand how to start a CAS session, and how to import your data to the CAS server

Exploring Data

Get to know your data and discover any anomalies

Preparing Data

Collect, clean, and transform your data prior to analysis

Analyzing and Reporting Data

Create summaries or reports based on the data that you prepared

Exporting Data

Send your SAS data to a data store, such as an Excel or a CSV file

Essential Programming Tasks

Programming Languages

CASL Programming

Accessing Data

Create and read a SAS data set

Assign a libref to access data in SAS libraries

Import a comma-delimited file

Exploring Your Data

Examine the data in three data sets before combining them

View information about a library

Preparing Data

Convert variable types using the PUT and INPUT functions

Replace, prevent, and create missing variable values

Change variable attributes using the ATTRIB statement

Concatenate two data sets into a new SAS data set

Combine two or more SAS data sets by interspersing their rows with one another based on common BY variable values

Analyzing Your Data

Group observations using BY variables

Compute the descriptive statistics for specified variables

Separate the analysis for the combination of class variables within BY values

Create an output data set that contains the frequencies, percentages, and expected cell frequencies of a two-way table

Reporting Data and Creating Output

Create HTML output

Use the ODS WORD statement to create output in a Word document

Exporting Data

Use the XLSX LIBNAME engine to create Excel data from a SAS data set

Create Excel data from a SAS data set

Learning SAS

The Basics of the SAS Viya Platform

SAS Viya Platform: Overview

SAS Viya Platform: Getting Started

SAS Programmer's Guide

CAS Fundamentals

Getting Started with SAS Viya Machine Learning

Other Learning Resources

Free SAS Training

Machine Learning Using SAS Viya from Coursera

Using SAS Viya REST APIs with Python and R from Coursera

Last updated: April 21, 2023