SAS Viya

標題 等級 培訓格式
SAS Viya Enablement Free e-learning
The SAS Viya Enablement training provides access to information about SAS Viya and the related products. This free e-learning provides access to a collection of information, including videos and documentation as well as links to additional product information. This is not a traditional e-learning course.

1 Beginner e-Learning
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 Administration: Fundamentals
This course introduces SAS administrators to SAS Viya 3.1. In this release of SAS Viya, SAS administrators can perform administrative tasks as well as monitor their SAS Viya environment. The course provides an overview of the architecture and shows how to perform essential SAS administration functions using SAS Studio and CAS Server Manager, as well as operating system commands.

3 Intermediate Classroom
Supervised Machine Learning Procedures Using SAS Viya in SAS Studio New
This course combines data exploration, visualization, data preparation, feature engineering, sampling and partitioning, model training, scoring, and assessment. It covers a variety of statistical, data mining, and machine learning techniques performed in a scalable and in-memory execution environment. The course provides theoretical foundation and hands-on experience with SAS Visual Data Mining and Machine Learning through SAS Studio, a user interface for SAS programming. The course includes predictive modeling techniques such as linear and logistic regression, decision tree and ensemble of trees (forest and gradient boosting), neural networks, support vector machine, and factorization machine.

3 Intermediate Classroom Live Web Classroom e-Learning
SAS Visual Statistics on SAS Viya: Interactive Model Building
本課程為SAS 商業智慧進階課程,介紹如何利用SAS Viya上的SAS Visual Statistics 進行高互動性探索式模型建置。探索式模型建置是巨量資料建模中的一個重要環節。

3 Intermediate Classroom Live Web Classroom e-Learning
FDP - Shaping a Business Analytics Curriculum
This outline is provisional and subject to change.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.

0 No level Live Web Classroom
FDP - Shaping an Analytics and Machine Learning Curriculum
This outline is provisional and subject to change.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.

0 No level Live Web Classroom
FDP - Shaping an Analytics Curriculum (A SAS & Open Source Approach)
This outline is provisional and subject to change.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.

0 No level Live Web Classroom
SAS Platform Administration: Getting Started Free e-learning
This course provides an overview of SAS Viya and SAS 9.4, the SAS Platform.

1 Beginner e-Learning
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: 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 Viya Administration: Enhanced Tasks
This course explores ongoing tasks that SAS administrators might need to perform in their SAS Viya environment. This course provides an overview of SAS Viya deployment topologies and shows how to perform ongoing SAS administration tasks using SAS Environment Manager and 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 Classroom
SAS Viya and Python Integration for Machine Learning New
本課程介紹如何在Jupyter Notebook 上利用Python 程式進行CAS 的操作,包含透過SWAT 套件上傳資料到分散式記憶體環境、分析資料、建立預測模型,以及把結果下載到本機端利用Python 原生語法進行模型比較。

3 Intermediate Classroom Live Web Classroom
SAS Viya and Python Integration for Machine Learning
本課程介紹如何在JupyterNotebook 上利用Python 程式進行CAS 的操作,包含透過SWAT 套件上傳資料到分散式記憶體環境、分析資料、建立預測模型,以及把結果下載到本機端利用Python 原生語法進行模型比較。

3 Intermediate Classroom Live Web Classroom
SAS Risk Modeling: Using the Solution
SAS Risk Modeling enables you to quickly and efficiently create analytical base tables that are used for developing credit scoring models. In this course, you learn how to create analytical base tables by calculating variables from different sources. Using SAS Model Studio to develop an application scorecard is demonstrated and practiced. By the end of this course, you will be comfortable working in Risk Modeling workspaces that are used for implementing models and monitoring their performance.

3 Intermediate e-Learning
SAS Infrastructure for Risk Management: Solution Overview
This course introduces the user to SAS Infrastructure for Risk Management. It covers topics such as job flow instances, job flows, and federated areas.

The self-study e-learning includes:

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

3 Intermediate e-Learning
Risk Modeling Add-on for SAS Visual Machine Learning: Using Credit Scoring Nodes (multi-version course) (+10 virtual lab hours)
This course provides an overview of the Risk Modeling nodes in SAS Visual 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.

The e-learning course covers Risk Modeling Add-on for SAS Visual Machine Learning, including previous versions.

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.


This course provides access to SAS Viya for Learners, which enables students to use the software to complete the practices.

3 Intermediate 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 e-Learning
Network Analysis and Network Optimization in SAS Viya
This course provides a set of algorithms to perform both network analysis and network optimization. Practical demonstrations and exercises emphasize the theory, and business case studies illustrate the possible outcomes from such techniques. Hands-on activities are based on the NETWORK and OPTNETWORK procedures in SAS Viya.

Network analysis includes graph theory algorithms that can augment data mining and machine learning. In many practical applications, pairwise interaction between the entities of interest in the model often plays an important role. Network analysis goes beyond traditional clustering and predictive models to identify patterns in business data, including entities’ behavior based on their relationships. Network analysis can be employed to avoid churn, diffuse products and services, detect fraud and abuse, identify anomalies, and many other applications, in a wide range of industries such as communications and media, banking, insurance, retail, utilities, and travel and transportation.

Network optimization includes graph theory algorithms that can augment more generic mathematical optimization approaches. Many practical applications of optimization depend on an underlying network. Networks also appear explicitly and implicitly in many other application contexts. Networks are often constructed from certain natural co-occurrence types of relationships, such as relationships among researchers who coauthor articles, actors who appear in the same movie, words or topics that occur in the same document, items that appear together in a shopping basket, terrorism suspects who travel together or are seen in the same location, and so on. In these types of relationships, the strength or frequency of interaction is modeled as weights on the links of the resulting network.

3 Intermediate 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.

3 Intermediate Live Web Classroom e-Learning
SAS Viya Administration: Fast Track
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
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
Programming for SAS Viya New
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
Neural Networks: Essentials New
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
Machine Learning Using SAS Viya
本課程為SAS Visual Data Mining and Machine Learning的核心課程,聚焦在監督式機器學習中不同方法的建模理論與實作。課程中利用Model Studio 的流程化界面,介紹分析生命週期中的各個階段,包含問題理解、資料準備、特徵萃取、建模、模型評估,與模型部署。

3 Intermediate Classroom Live Web Classroom e-Learning
Deep Learning Using SAS Software
本課程為深度學習的基礎課程,深度神經網路常用在分類問題、影像辨識或時間序列等問題上。課程中將介紹如何建立深度前饋神經網路,卷積神經網路以及遞迴神經網路;同時也會提到如何增強訓練資料集以提高模型效果的實用方法。在課程的最後,則會介紹如何有效率的找到適合的超參數設定值。

3 Intermediate Classroom Live Web Classroom e-Learning
High-Performance Data Manipulation with SAS DS2
本課程介紹如何利用第四代SAS 程式語言進行進階資料處理。DS2 語法混合 DATA step跟 SQL 語法,讓使用者在 SAS Base 上進行平行處理,或在MPP 架構下的 Hadoop 與Viya CAS 中做平行運算。

4 Expert Classroom 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 e-Learning