Welcome to the CASL Programming for Distributed Computing in SAS Viya course. SAS Viya is an AI, analytic and data management platform running on a scalable, distributed, cloud-native architecture.
CASL Programming for Distributed Computing in SAS® Viya®
CASL Programming for Distributed Computing in SAS® Viya®
This course is part of Distributed Programming in SAS® Viya® for Data Analysts Specialization
Instructors: Peter Styliadis
Included with 
Gain insight into a topic and learn the fundamentals.
Advanced level
Recommended experience
35 hours to complete
3 weeks at 11 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Connect to the CAS server to access and manage data.
Use CASL to prepare and analyze data.
Create reports and visualizations using SAS Viya.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
1 quiz, 61 assignments
Taught in English
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This course is part of the Distributed Programming in SAS® Viya® for Data Analysts Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 7 modules in this course
In this module you
What's included
2 videos3 readings1 app item
In this module you examine some basic concepts, beginning with an overview of SAS Viya and the two main servers available for processing data: the SA Compute Server and the SAS Cloud Analytics Services (or CAS) server. Then you learn about caslibs, the mechanism for accessing data within the CAS server. Lastly, you will explore the SAS Studio environment and connect to the CAS server.
What's included
8 videos2 assignments
In this module you will learn the fundamentals of SAS's new scripting language called the CAS language, or CASL for short. You will learn about how CASL is very different from the traditional SAS programming language. Then you will learn dive into detail about its four main components: variable data types, statements, functions, and CAS actions.
What's included
27 videos1 reading1 quiz14 assignments1 app item
In this module you will learn to connect to the CAS server and access it's data. You will begin by making a connection to CAS and exploring the connection options. Then you will begin to learn more about Caslibs by exploring their attributes, data source files and in-memory tables and creating a user defined Caslib. Lastly you will learn about managing in-memory tables by loading, saving, promoting and deleting tables.
What's included
22 videos1 reading9 assignments1 app item
In this module you will learn about exploring and validating data using a variety of CAS actions and CASL techniques. You will begin by exploring a CAS table's structure by viewing the column attributes, previewing the table rows, working with the results of an action and more. Then you will learn about charactering data by finding the distinct and missing values in each column. Lastly, you learn about validating data by removing duplicate rows and creating a new CAS table that identifies bad data.
What's included
18 videos2 readings13 assignments1 app item
In this module you will learn about Preparing Data in CAS. You will begin by executing some common data manipulation using CAS actions techniques such as updating a table in place, creating a new table with computed columns, performing conditional processing, filtering rows and columns, converting column types, working with dates, imputing missing values, restructuring data, and even executing DATA step code in CAS. Lastly you will learn about how to execute fedSQL statements in the CAS server.
What's included
29 videos2 readings13 assignments1 app item
In this module you will learn about Analyzing and Summarizing Data in CAS. You will begin by understanding the benefits and considerations of using the CAS server with the compute server for your data processing needs. Then you will execute a variety of actions to obtain summary statistics, frequency and crosstabulation reports. Lastly you will learn about how to process the results of the CAS server by using the SAS Output Delivery System (ODS) on the smaller summarized results to create data visualizations, or output to an external file types like PowerPoint, Word, Excel and PDF.
What's included
18 videos2 readings10 assignments1 app item
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Recommended if you're interested in Data Analysis
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