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SAS Viya

Title Level Training Formats
Faculty Development Program: Shaping a Business Analytics Curriculum
The Faculty Development Program (FDP) teaches you fundamental concepts and relevant techniques in self-service data preparation, business visualization, and modeling using a powerful mix of point-and-click visual SAS tools. The course also enables you to explore academic and collaborative opportunities with SAS in the area of advanced analytics for designing better curriculum and effective pedagogy.

Please note: This FDP is only for eligible Professors and members of Academic Institutions.

0 No level Live Web Classroom
Faculty Development Program: Shaping an Analytics and Machine Learning Curriculum
The Faculty Development Program (FDP) teaches you fundamental concepts and relevant techniques in analytics and machine learning using a powerful mix of point-and-click visual SAS tools, including visual analytics, visual data mining and machine learning, and text analytics. The course also enables you to explore academic and collaborative opportunities with SAS in the area of advanced analytics for designing better curriculum and effective pedagogy.

Please note: This FDP is only for eligible Professors and members of Academic Institutions.

0 No level Live Web Classroom
Faculty Development Program: Shaping an Analytics Curriculum (A SAS & Open Source Approach)
The Faculty Development Program (FDP) teaches you fundamental concepts and relevant techniques in analytics and machine learning using a powerful mix of SAS and open-source programming languages. The course also enables you to explore academic and collaborative opportunities with SAS in the area of advance analytics for designing better curriculum and effective pedagogy.

Please note: This FDP is only for eligible Professors and members of Academic Institutions.

0 No level Live Web Classroom
Faculty Development Program: Shaping a Data Science Curriculum: Data Management, Machine Learning and Artificial Intelligence
This Faculty Development Program (FDP) supports developing a data science program that covers a variety of topics and enables students to acquire the skills that industry is looking for their employees to have. The FDP helps universities develop a pool of talent with the range of analytical and technology skills to work in a data-rich business environment.

Please note: This FDP is only for eligible Professors and members of Academic Institutions.

1 Beginner Live Web Classroom
Visualization with SAS
This short course provides an introduction to data preparation, data discovery, and report creation in SAS Visual Analytics.

Please note: This is a taster course providing an overview of the listed SAS tool(s) and capabilities. For more comprehensive training, please consider the SAS Visual Analytics 1 for SAS Viya: Basics course. Attendees who complete this short course and wish to complete the associated comprehensive training may be eligible for a discount.

1 Beginner Live Web Classroom
Machine Learning Leadership and Practice – End-to-End Mastery Business Knowledge Series
  • Accessible to business learners and yet vital to techies as well

  • A vendor-neutral, universally applicable curriculum

  • Equivalent to a full-semester MBA or graduate-level course

Machine learning is booming. It reinvents industries and runs the world. According to Harvard Business Review, machine learning – also known as predictive analytics – is “the most important general-purpose technology of our era.”

But while there are so many how-to courses for hands-on techies, there are practically none that also serve the business leadership of machine learning. This is a striking omission since success with machine learning relies on a very particular project leadership practice just as much as it relies on adept number crunching. Without that leadership, most machine learning projects fail.

By filling that gap, this course empowers you to generate value with machine learning, whether you are a techie, a business leader, or some combination of the two. It delivers the end-to-end expertise that you need, covering both the core technology and the business-side practice.

Why cover both sides? Because both sides need to learn both sides! Everyone leading or participating in the deployment of machine learning must study them both.

Beyond the core tech. As with most machine learning courses, you'll learn how the technical methods work “under the hood” – in an accessible way that's understandable to all learners. But you'll also continue beyond that to master critical business-side best practices that are usually omitted.

1 Beginner e-Learning
SAS Viya Administration: Getting Started Free e-learning
This course provides an overview of administering SAS Viya.

The self-study e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual lab time to practice.

1 Beginner e-Learning
SAS Viya Overview
This course provides an introduction to the applications in SAS Viya and discusses how each application is used in each phase of the SAS Analytics Life Cycle: Data, Discovery, Deployment, and Orchestration.

1 Beginner Classroom Live Web Classroom e-Learning
Building SAS Studio Flows in SAS Viya
This course is for users who do not have SAS programming experience but need to access and prepare data, and present summarized results. This course focuses on using flows, a point-and-click tool in SAS Studio that visualizes data transformation processes.

1 Beginner Classroom Live Web Classroom e-Learning
SAS Viya: Overview for Beginners and SAS9 Users
Are you already using elements of SAS 9 and would like to know what innovations and advantages SAS Viya offers?

You know SAS Viya from hearsay and want to get an understanding of the usage and architecture of this modern, cloud-enabled part of the SAS Platform?

This course is aimed at users who want to gain insight into the SAS Viya world in a short time. During the course, you learn the elements of the SAS Viya architecture and SAS Viya applications, create interactive analyses and reports, and get to know the new way of programming with the CAS language. At the appropriate points, the interaction between SAS 9 and SAS Viya, as well as the differences, are discussed.

2 Fundamental Live Web Classroom
SAS Visual Investigator: Building the Interface
This course teaches you how to develop an application interface for monitoring financial crimes.

2 Fundamental Live Web Classroom e-Learning
SAS Viya Operations
This course introduces SAS administrators to SAS Viya 2021. This course provides an overview of the new SAS Viya architecture and shows how to perform essential SAS administration tasks like backups, monitoring, and logging using SAS Environment Manager, the command line interface, Kubernetes, and other open-source applications.

The self-study e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual lab time to practice.

2 Fundamental Live Web Classroom e-Learning
System Tuning Using SAS Enterprise Session Monitor
This course is a one-day introduction to SAS Enterprise Session Monitor. SAS Enterprise Session Monitor brings visibility to complex analytic workloads, enabling SAS administrators and developers to keep business-critical SAS servers and applications stable and performing well, control cloud costs, and enable optimal efficiency at scale.

The self-study e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual lab time to practice.

2 Fundamental Classroom Live Web Classroom e-Learning
SAS Data Management in SAS Viya 4: Fast Track
In this course, you explore the visual interfaces and learn the programming techniques for loading and preparing your data in SAS Viya. Both the interfaces, SAS Data Preparation (SAS Data Studio) and SAS Studio flows, can be used to create jobs that prepare and load data in CAS. SAS Data Preparation focuses on in-memory data preparation and data wrangling done by the business analyst. SAS Studio flows can be used for other data management use cases like ETL (Extract, Transform, and Load) processing of data on the SAS server where data is first loaded to SAS data sets or a databases before making data available in-memory in CAS. The course also introduces SAS programming techniques to load data in SAS Viya and ways to migrate your Base SAS programs to make use of new capabilities in the DATA step, FedSQL, and procedures to enable fast, parallel in-memory processing in SAS Viya. When explaining the core concepts of data management in SAS Viya, we introduce you to the data architecture of SAS Viya and the CAS data life cycle. CAS IO in SAS Viya introduces you to ways to improve load-processing time using techniques like parallel and multi-node loading. In discussing physical data modeling in CAS, several techniques are discussed to improve the size and performance of in-memory tables. Finally, a discussion of data processing in CAS presents the data manipulation techniques using common procedures, CAS actions, SAS DS2, FedSQL, and data quality algorithms.

3 Intermediate Classroom
SAS Viya and Python Integration for Machine Learning
In this course, you learn to use the Python API to take control of SAS Cloud Analytic Services (CAS) actions from Jupyter Notebook. You learn to upload data into the in-memory distributed environment, analyze data, and create predictive models in CAS using familiar Python functionality via the SWAT (SAS Wrapper for Analytics Transfer) package. You then learn to download results to the client and use native Python syntax to compare models.

3 Intermediate Live Web Classroom
SAS Viya and R Integration for Machine Learning
In this course, you learn to use the R API to take control of SAS Cloud Analytic Services (CAS) actions from Jupyter Notebook. You learn to upload data into the in-memory distributed environment, analyze data, and create predictive models in CAS using familiar R functionality via the SWAT (SAS Wrapper for Analytics Transfer) package. You then learn to download results to the client and use native R syntax to compare models.

3 Intermediate Live Web Classroom
Data Preparation with SAS
This short course provides an overview of the analytic data preparation capabilities of SAS Data Preparation in SAS Viya.

Please note: This is a taster course providing an overview of the listed SAS tool(s) and capabilities. For more comprehensive training, please consider the &DIDIP22 course. Attendees who complete this short course and wish to complete the associated comprehensive training may be eligible for a discount.

3 Intermediate Live Web Classroom
Model Building with SAS
This short course introduces SAS Visual Statistics for building predictive models in an interactive, exploratory way. Exploratory model fitting is a critical step in modeling big data.

Please note: This is a taster course providing an overview of the listed SAS tool(s) and capabilities. For more comprehensive training, please consider the SAS Visual Statistics in SAS Viya: Interactive Model Building course. Attendees who complete this short course and wish to complete the associated comprehensive training may be eligible for a discount.

3 Intermediate Live Web Classroom
Getting Started with SAS Viya Programming
This short course provides an introduction for users who want to modify existing Base SAS programs that will execute in SAS Viya. This short course leverages the power of SAS Cloud Analytic Services (CAS) to access, manage, and manipulate in-memory tables. This course is not intended for beginning SAS software users.

Please note: This is a taster course providing an overview of the listed SAS tool(s) and capabilities. For more comprehensive training, please consider the Programming for SAS Viya course. Attendees who complete this short course and wish to complete the associated comprehensive training may be eligible for a discount.

3 Intermediate Live Web Classroom
CURSUS CERTIFICATION: SAS Viya Administration

La certification SAS est la reconnaissance que vous maîtrisez parfaitement et êtes reconnus expert sur un domaine de compétences déterminé. Les certifications SAS sont reconnues dans le monde entier !

Grâce à nos cursus de certifications, formez-vous sur une thématique donnée et devenez certifié ! Ce cursus certification combine la formation fast track, la formation e-learning, la préparation en PDF, examen blanc et passage de la certification.

Le cursus Viya Administration vise à vous former sur tous les sujets en administration SAS Viya via des démonstrations et cours donnés par nos experts. Vous utiliserez différents outils comme SAS Environment Manager, le mode CLI (Command Line Interface) et les API RESTs.

Le cursus combine le programme suivant à réaliser à votre rythme sous 3 à 6 mois :
  • SAS Viya Administration Fast Track
  • SAS Viya Administration : Fast Track en e-learning
  • <
  • Préparation à la certification administration Viya
  • Examen blanc
  • Passage de la certification SAS Viya administration

  • 3 Intermediate e-Learning
    Using SAS Viya REST APIs with Python and R
    In this course, you learn to use the R and Python APIs to take control of SAS Cloud Analytic Services (CAS) and submit actions from Jupyter Notebook. You learn to upload data into the in-memory distributed environment, analyze data, and create predictive models on CAS using familiar open-source functionality via the SWAT (SAS Wrapper for Analytics Transfer) package.

    3 Intermediate e-Learning
    Risk Modeling Add-on for SAS Visual Machine Learning: Using Credit Scoring Nodes
    This course provides an overview of the Risk Modeling nodes in SAS Visual Data Mining and Machine Learning. It prepares members of your organization to develop scorecards. The course includes hands-on demonstrations and teaches you key concepts, terminology, and base functionality that are integral to visual risk modeling.

    3 Intermediate e-Learning
    Large-Scale Forecasting Using SAS Viya: A Programming Approach
    This course teaches students to develop and maintain a large-scale forecasting project using SAS Visual Forecasting tools. For the course project, students build and then refine a large-scale forecasting system. Emphasis is initially on selecting appropriate methods for data creation and variable transformations, model generation, and model selection. Students are then asked to improve overall baseline forecasting performance by modifying default processes in the system.

    3 Intermediate e-Learning
    Machine Learning Using SAS Viya
    This course discusses the theoretical foundation for techniques associated with supervised machine learning models. A series of demonstrations and practices is used to reinforce all the concepts and the analytical approach to solving business problems. In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, and model assessment and deployment. This course is the core of the SAS Viya Data Mining and Machine Learning curriculum. It uses Model Studio, the pipeline flow interface in SAS Viya that enables you to prepare, develop, compare, and deploy advanced analytics models. You learn to train supervised machine learning models to make better decisions on big data.

    3 Intermediate Live Web Classroom e-Learning
    Deep Learning Using SAS Software
    This course introduces the pivotal components of deep learning. You learn how to build deep feedforward, convolutional, recurrent networks, and variants of denoising autoencoders. The neural networks are used to solve problems that include traditional classification, image classification, and sequence-dependent outcomes. The course contains a healthy mix of theory and application. Hands-on demonstration and practice problems are included to reinforce key concepts. Hyperparameter search methods are described and demonstrated to find an optimal set of deep learning models. Transfer learning is covered because the emergence of this field has shown promise in deep learning. Lastly, you learn how to customize a SAS deep learning model to research new areas of deep learning.

    3 Intermediate Live Web Classroom e-Learning
    Supervised Machine Learning Procedures Using SAS Viya in SAS Studio
    This course covers a variety of machine learning techniques that are performed in a scalable and in-memory execution environment. The course provides hands-on experience with SAS Visual Data Mining and Machine Learning through SAS Studio, a user interface for SAS programming. The machine learning techniques include logistic regression, decision tree and ensemble of trees (forest and gradient boosting), neural networks, support vector machine, factorization machine, and Bayesian networks.

    The self-study e-learning includes:

    • Annotatable course notes in PDF format.
    • Virtual lab time to practice.

    3 Intermediate Live Web Classroom e-Learning
    SAS Viya Administration: Fast Track (3.5)
    This course is a four-day immersion into a SAS Viya 3.5 environment. This course provides essential topics for SAS Viya 3.5 administration and demonstrates how to perform administration tasks using SAS Environment Manager, the command-line interface, and REST APIs.

    The self-study e-learning includes:

    • Annotatable course notes in PDF format.
    • Virtual lab time to practice.

    3 Intermediate Live Web Classroom e-Learning
    Self-Service Data Preparation in SAS Viya
    This course provides an overview of the analytic data preparation capabilities of SAS Data Preparation in SAS Viya. These self-service data preparation capabilities include bringing data in from a variety of sources, preparing and cleansing the data to be fit for purpose, analyzing data for better understanding and governance, and sharing the data with others to promote collaboration and operational use.

    The e-learning course covers SAS Data Preparation on SAS Viya 3.5.

    3 Intermediate Live Web Classroom e-Learning
    Network Analysis and Network Optimization in SAS Viya
    This course provides a set of network analysis (graph theory) and network optimization solutions using the NETWORK and OPTNETWORK procedures in SAS Viya. Real-world applications are emphasized for each algorithm introduced in this course, including using network analysis as a stand-alone unsupervised learning technique, as well as incorporating network analysis and optimization to augment supervised learning techniques to improve machine learning model performance through input/feature creation.

    The self-study e-learning includes:

    • Annotatable course notes in PDF format.
    • Virtual lab time to practice.

    3 Intermediate Live Web Classroom e-Learning
    SAS Visual Statistics in SAS Viya: Interactive Model Building
    This course introduces SAS Visual Statistics for building predictive models in an interactive, exploratory way. Exploratory model fitting is a critical step in modeling big data. This course is appropriate for users of SAS Visual Analytics in SAS Viya.

    3 Intermediate Live Web Classroom e-Learning
    Working with SAS Viya Jobs
    This course provides information about how to create, design, manage, and run SAS Viya jobs from SAS Studio.
    This e-learning course includes virtual lab time to practice.

    3 Intermediate Live Web Classroom e-Learning
    SAS Viya Administration
    This course is an introduction to the SAS Viya environment. This course provides essential topics for SAS Viya administration and demonstrates how to perform administration tasks using SAS Environment Manager, the command-line interface.

    The self-study e-learning includes:

    • Annotatable course notes in PDF format.
    • Virtual lab time to practice.

    3 Intermediate Live Web Classroom e-Learning
    SAS Viya Administration Fast Track
    This course is a four-day immersion into a SAS Viya environment. This course provides essential topics for SAS Viya administration and demonstrates how to perform administration tasks using SAS Environment Manager, the command-line interface, and basic Kubernetes commands to administer a SAS Viya Environment.

    The self-study e-learning includes:

    • Annotatable course notes in PDF format.
    • Virtual lab time to practice.

    3 Intermediate Live Web Classroom e-Learning
    SAS Health Cohort Builder
    This course explores the features and functionality specific to SAS Health: Cohort Builder in SAS Viya 4. Students gain competence in identifying patient cohorts of interest using simple or compound expressions, augmenting the patient cohort data with analysis variables, and leveraging templated analytics to gain knowledge and insights.

    3 Intermediate Live Web Classroom e-Learning
    Developing Custom Steps with SAS Studio Analyst
    This course teaches you how to develop custom steps to create a user interface on top of your own code that can be shared, reused, and executed in SAS Studio flows.

    3 Intermediate Live Web Classroom e-Learning
    SAS Viya and Python Integration Fundamentals
    In this course, you learn to use the SWAT (SAS Wrapper for Analytics Transfer) package to take advantage of the SAS Cloud Analytic Services (CAS) engine in SAS Viya for massively parallel processing (MPP) using familiar Python syntax. You learn about SAS Viya and the CAS engine, how to leverage the strengths of the CAS engine and your local Python client, how to connect Python to CAS, and how to access and load data into CAS's MPP environment. You then learn to explore, analyze, and prepare the data on the CAS server, taking advantage of the distributed processing power using familiar Pandas API and CAS actions from the SWAT package. Lastly, you learn how to return summarized results from the CAS server to your local Python client for additional processing and visualization using native Python packages.

    3 Intermediate Live Web Classroom e-Learning
    Neural Networks: Essentials
    This course covers the essential components of a neural network architecture and details how to modify the structure as needed. Modifying the neural network’s error functions, activation functions, and hidden units is discussed. You learn how to programmatically build a neural network, implement early stopping, build autoencoders for a predictive model, and perform an intelligent search of the model hyperparameter values. The course finishes with an introduction to deep learning. The NEURAL procedure from SAS 9.4 and the NNET procedure from SAS Viya are used throughout the course.

    3 Intermediate Classroom Live Web Classroom e-Learning
    High-Performance Data Processing with CASL in SAS Viya
    In this course, you learn how to leverage SAS Cloud Analytics Services (CAS), the high-performance, in-memory analytics and distributed computing engine in SAS Viya. You learn how to access, explore, prepare, analyze, and summarize data using the native CAS programming language (CASL). CASL is a new scripting language designed to support the entire analytics life cycle.

    3 Intermediate Classroom Live Web Classroom e-Learning
    Programming for SAS Viya
    This course is for users who need to modify existing Base SAS programs that will execute in SAS Viya. This course leverages the power of SAS Cloud Analytic Services (CAS) to access, manage, and manipulate in-memory tables. This course is not intended for beginning SAS software users.

    3 Intermediate Classroom Live Web Classroom e-Learning
    High-Performance Data Manipulation with SAS DS2
    This course focuses on learning DS2, a fourth-generation SAS language for advanced data manipulation. DS2 blends DATA step and SQL syntax with modern programming structures, and enables parallel processing in Base SAS as well as massively parallel processing environments such as Hadoop and SAS Viya Cloud Analytic Services (CAS). A brief introduction to SAS Viya is included.

    4 Expert Live Web Classroom
    Tree-Based Machine Learning Methods in SAS Viya
    Decision trees and tree-based ensembles are supervised learning models used for problems involving classification and regression. This course covers everything from using a single tree to more advanced bagging and boosting ensemble methods in SAS Viya. The course includes discussions of tree-structured predictive models and the methodology for growing, pruning, and assessing decision trees, forest and gradient boosting models. The course also explains isolation forest (an unsupervised learning algorithm for anomaly detection), deep forest (an alternative for neural network deep learning), and Poisson and Tweedy gradient boosted regression trees. In addition, many of the auxiliary uses of trees, such as exploratory data analysis, dimension reduction, and missing value imputation, are examined, and running open source in SAS and running SAS in open source are demonstrated.

    The self-study e-learning includes:

    • Annotatable course notes in PDF format.
    • Virtual lab time to practice.

    4 Expert Live Web Classroom e-Learning
    Regression Methods Using SAS Viya
    This course covers nine regression methods. The models include linear, logistic, quantile, generalized linear, generalized additive, mixed, survival, nonlinear, and partial least squares. The applications, strengths, and weaknesses of each method are discussed, along with how the methods are implemented in SAS Viya. A comparison of the SAS Viya procedures and SAS/STAT procedures for each method is also shown. Examples in the course show applications in banking, financial services, direct marketing, insurance, telecommunications, medical, and academic fields.

    The self-study e-learning includes:

    • Annotatable course notes in PDF format.
    • Virtual lab time to practice.

    4 Expert Classroom Live Web Classroom e-Learning