Preparing for the SAS® Viya® Programming Certification Exam (Coursera)

Offered by SAS,
Preparing for the SAS® Viya® Programming Certification Exam (Coursera)

Welcome to the Preparing for the SAS Viya Programming Certification Exam course. This is the third and final course in the Coursera SAS Programmer specialization. You will apply what you have learned in the first two courses by writing code to execute in SAS Cloud Analytic Services and practicing for the SAS certification exams.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

This is an advanced course, intended for learners who have completed the first two courses in the Coursera SAS Programmer specialization: SAS Programming for Distributed Computing in SAS Viya and CASL Programming for Distributed Computing in SAS Viya.
By the end of the course, you be prepared to take either of these SAS credential exams:

  • SAS® Viya® Programming Associate
  • SAS® Viya® Programming Specialist

Course 3 of 3 in the Distributed Programming in SAS® Viya® for Data Analysts Specialization.

Syllabus

WEEK 1
Course Overview and Logistics
In this module you set up your practice data for this course.
Practice what you Learned in SAS Programming for Distributed Computing in SAS Viya
In this module you practice you what you learned in the SAS Viya Programming course by using the software to complete programming tasks.

WEEK 2
Practice what you Learned in CASL Programming for Distributed Computing in SAS Viya
In this module you practice what you learned in the CASL Programming course by using software to perform tasks.
Take a SAS Certification Practice Exam
In this module you learn how to get certified in SAS Viya Programming and take one or both SAS Certification practice exams.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Regression Modeling in Practice (Coursera) Coursera
Wesleyan University

Regression Modeling in Practice (Coursera)

This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors of your outcome and be able to identify confounding variables, which can tell a more compelling story about your results. You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your regression model. Throughout the course, you will share with others the regression models you have developed and the stories they tell you.

Jul 31st 2026
4 Weeks
Introduction to Genomic Technologies (Coursera) Coursera
Johns Hopkins University

Introduction to Genomic Technologies (Coursera)

This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed.

Aug 17th 2026
4 Weeks
CASL Programming for Distributed Computing in SAS® Viya® (Coursera) Coursera
SAS

CASL Programming for Distributed Computing in SAS® Viya® (Coursera)

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. In this course you will learn how how to use the native CAS programming language (CASL) to leverage SAS Cloud Analytics Services (CAS), the high-performance, in-memory analytics and distributed computing engine in SAS Viya . You will learn how to use CASL to access, explore, prepare, analyze, and summarize data in the CAS server's massively parallel processing environment.

Jan 6th 2025
5-12 Weeks
Data Analysis Tools (Coursera) Coursera
Wesleyan University

Data Analysis Tools (Coursera)

In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed. Throughout the course, you will share your progress with others to gain valuable feedback and provide insight to other learners about their work.

Jul 27th 2026
4 Weeks
Data Management and Visualisation (Coursera) Coursera
Wesleyan University

Data Management and Visualisation (Coursera)

Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before. Based on existing data, you will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present your results clearly.

Jun 29th 2026
4 Weeks
Predictive Modeling with Logistic Regression using SAS (Coursera) Coursera
SAS

Predictive Modeling with Logistic Regression using SAS (Coursera)

This course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure. This course also discusses selecting variables and interactions, recoding categorical variables based on the smooth weight of evidence, assessing models, treating missing values, and using efficiency techniques for massive data sets. You learn to use logistic regression to model an individual's behavior as a function of known inputs, create effect plots and odds ratio plots, handle missing data values, and tackle multicollinearity in your predictors. You also learn to assess model performance and compare models.

Aug 3rd 2026
5-12 Weeks
Principles of fMRI 1 (Coursera) Coursera
Johns Hopkins University

Principles of fMRI 1 (Coursera)

Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s).

Aug 17th 2026
4 Weeks
Business Intelligence and Visual Analytics (Coursera) Coursera
University of California, Irvine

Business Intelligence and Visual Analytics (Coursera)

Building on “Data Warehousing and Business Intelligence,” this course focuses on data visualization and visual analytics. Starting with a thorough coverage of what data visualization is and what type of visualization is good for a given purpose, the course quickly dives into development of practical skills and knowledge about visual analytics by way of using one of the most popular visual analytics tools: SAS Viya, a cloud-based analytics platform. An overview of cloud architecture, automation, and machine learning is also provided.

Jul 27th 2026
4 Weeks