SAS Viya
| 標題 | 等級 | 培訓格式 |
|---|---|---|
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Advanced Topics in Authentication on SAS Viya
This course covers advanced topics in authentication for SAS Viya. Authentication into, within, and out of the platform will be covered. Third-party protocols will be dealt with initially in separate lessons with follow-on lessons detailing how the third-party protocols are leveraged by SAS Viya. |
4 Advanced |   |
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Advanced Topics in Encryption on SAS Viya
This workshop covers advanced topics in encryption for the SAS Viya environment. Both encryption in-motion and at-rest will be covered. A general background in encryption protocols and objects is provided before showing how these are applied to the SAS Viya environment. This workshop will provide the details of how encryption can be leveraged in SAS Viya. You will practice implementing changes to the encryption options in a hands-on environment. |
4 Advanced | |
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Applying Updates on SAS Viya
This case study provides an outline of various update scenarios typically expected of a SAS Administrator for maintenance of a SAS Viya deployment. It provides hands-on exercises for an opportunity to work through practical examples of the update scenarios, which include: applying patch updates to a Viya deployment, switching from one cadence to another, and updating SAS Viya software to a later version. The accompanying workshop environment includes the SAS Deployment Operator, which is the recommended tool for applying updates to a SAS Viya environment. |
4 Advanced | |
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Architecture and Administration for SAS Workload Management on SAS Viya
This course provides an overview of SAS Workload Management on SAS Viya. The workshop examines SAS Workload Orchestrator software and outlines general concepts and usage scenarios, architecture and deployment considerations and administration and monitoring functions. Hands-on exercises are provided for the student to explore SAS Workload Management tasks and features in a SAS Viya environment deployed on Kubernetes. |
4 Advanced | |
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Building an Interface with SAS Visual Investigator
This course teaches you how to develop an application interface for monitoring financial crimes. |
1 Beginner |  |
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Building SAS Studio Flows in SAS Viya
本課程重點介紹如何透過點選工具，視覺化數據轉換過程。過程類似於Enterprise Guide中的處理流程。 |
1 Beginner |  |
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CAS Data Management on the SAS Viya Platform
This course provides an in-depth look at the features and functionality of SAS Viya Data Management architecture, design, lifecycle, and programming. |
4 Advanced | |
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Data Management on SingleStore on the SAS Viya Platform
Introducing a true database management system into Viya opens the door to several new possibilities including easily managing data change. SingleStore’s UPSERT capability quickly and easily propagates source data change to the database that CAS reads directly. In this course, we continuously ingest data files that are dropped in real-time in a cloud object storage location (ADLS), load/update a SingleStore table accordingly and see if SAS Visual Analytics can capture those updates seamlessly. |
3 Intermediate | |
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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 | |
Developing Custom Steps with SAS Studio Analyst 
The course teaches you how to develop custom steps to create a user interface to dynamically customize SAS code that can then be shared, reused, and executed in SAS Studio. |
3 Intermediate | |
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Developing the Future Workforce: Designing an AI & Analytics curricula
This Faculty Development program 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. This program will help universities to develop a pool of talent with the range of analytical and technology skills to work in a data-rich business environment. |
3 Intermediate | |
Explore and Visualize: Getting Started 
This journey will help you get started using SAS Visual Analytics fast. We have provided a collection of free assets in a variety of formats to help you bring in your data, build reports with tips and tricks from working with multiple data sources, individual object examples, to recommendations on how to create beautiful interactive reports. |
1 Beginner | |
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FDP - Shaping a Data Analytics Curriculum for Financial Services Industry
This Faculty Development Program (FDP) supports developing a data analytics program which can help prepare business students for analytics-intensive jobs in multiple industries like Marketing and Financial services |
0 No level | |
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FDP-Shaping a Data Science Curriculum
This 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. |
1 Beginner | |
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FDP -Shaping an AI & ML curriculum for Business
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 | |
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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 | |
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Generative AI Using SAS
Generative Artificial Intelligence (GenAI) is a rapidly developing area of machine learning, with application across business, government, and academia. In this course, you will learn about different types of GenAI and see examples of how SAS can enhance your efforts to make the most of these techniques. This course will be released several lessons at a time until all lessons are available. We expect that each lesson can be completed in about an hour, and you can work at your own pace to complete the material. As we release new lessons, you might lose progress through the material that you have completed, so please make a note of where you are leaving off before exiting the course. |
3 Intermediate | |
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Getting Started with SAS and Kubernetes
This course teaches the fundamentals of SAS on Kubernetes. |
1 Beginner | |
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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 Advanced | |
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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 | |
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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 | |
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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 | |
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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 | |
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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 | |
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SAS Container Runtime: Architecture and Deployment on Azure Cloud
This course aims to provide key details for architecture and deployment of SAS Container Runtime on Azure based technology. |
4 Advanced | |
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SAS Data Management in SAS Viya: 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 | |
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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 | |
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SAS Viya: Cloud Data Exchange
The SAS Cloud Data Exchange enables SAS users to connect and access data from a co-located database or from an on-premises database. The Cloud Data Exchange enables users to securely exchange on-premises data from behind a firewall to the SAS Viya platform in the cloud. All data transfer/exchange occurs on secured standard-based communications along with sophisticated authentication and authorization. The on-premises data center requires a single port opened through the firewall to facilitate the data exchange. |
4 Advanced | |
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SAS Viya: Data Management on Azure Cloud
This course prepares you to use Azure data sources with SPRE/SAS and SAS Viya/CAS. Topics include the Azure Eco system, Azure Data Lake Storage Gen2 (ADLS2), MS SQL Server, Azure Synapse, and connecting SAS and CAS to Azure data sources. The course provides practical hands-on exercises to fortify the material. |
4 Advanced | |
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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. |
1 Beginner | |
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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 and the command-line interface. The self-study e-learning includes:
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1 Beginner | |
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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:
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3 Intermediate | |
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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:
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3 Intermediate | |
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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 | |
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SAS Viya Administration: Getting Started
Get started on your journey to becoming a SAS Viya platform administrator by spending a bit of time each day with a new aspect of SAS Viya administration. Over the course of three weeks, you'll get a good idea of the skills you may need to develop and the tasks that will be needed to manage and maintain a well-functioning deployment. At the end of your journey be sure to explore formal enablement opportunities you can take advantage of to continue your quest in becoming a SAS Viya administrator. |
1 Beginner | |
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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. |
3 Intermediate | |
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SAS Viya and Python Integration for Machine Learning
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 | |
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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 | |
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SAS Viya Architecture
This workshop introduces various architecture topics and identifies architecture recommended practices and considerations when preparing for a software deployment on the SAS Viya platform. |
4 Advanced | |
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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:
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1 Beginner | |
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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 | |
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Self-Service Data Preparation in SAS Viya
This course provides an overview of the data preparation capabilities of SAS Data Preparation in SAS Viya. These data preparation capabilities include bringing data in from a variety of sources, assessing the structure and quality of data, preparing and cleansing the data to be fit for purpose, exploring and monitoring the relationships between objects in your environment, and sharing the data with others to promote collaboration and operational use. |
3 Intermediate | |
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Statistics You Need to Know for Machine Learning
When it comes to using data, there are two main camps, traditional statistics and machine learning, and the two camps complement each other. Statistics remains highly relevant, irrespective of the "bigness" of data. Its role remains what it has always been, but it is even more important now. There is a need to transition from traditional statistical modeling to the machine learning world. This course introduces the statistical background necessary for machine learning using SAS Viya. Knowledge of statistics relevant to machine learning will prepare you to become a data scientist. The course prepares you for future instruction on doing machine learning (including its underlying methodology that has statistical foundations) and enables you to develop a deeper understanding of machine learning models. This course is a prerequisite to many of the courses in the data science curriculum. A more advanced treatment of machine learning occurs in the courses Machine Learning Using SAS Viya, SAS Visual Data Mining and Machine Learning on SAS Viya: Interactive Machine Learning, SAS Visual Statistics on SAS Viya: Interactive Model Building, and Supervised Machine Learning Procedures Using SAS Viya in SAS Studio. For students interested in statistics for inference and explanatory analysis used in scientific and medical research, Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression is an appropriate foundational course. |
1 Beginner | |
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Supervised Machine Learning Procedures Using SAS Viya in SAS Studio
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 | |
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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:
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2 Fundamental | |
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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:
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4 Advanced | |
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Using Azure DevOps and Azure Pipelines in SAS Viya
Learn how Azure DevOps supports, enhances, and accelerates the Analytics lifecycle in SAS Viya. |
3 Intermediate | |
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Using SAS Data Preparation in SAS Viya
This course provides training on SAS Data Preparation. It covers the SAS Viya applications of SAS Drive, SAS Data Explorer, SAS Data Studio, SAS Environment Manager: Jobs and Flows, and SAS Lineage. |
3 Intermediate | |
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Using SAS Studio Flows and Custom Steps in SAS Viya
This course provides training on SAS Studio Flow in SAS Viya. It also covers how to create Custom Steps. |
4 Advanced | |
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Using the Report Components Library in the SAS Viya SDK for JavaScript
This course describes how to embed SAS Visual Analytics content into your custom web pages and applications using the SAS Viya SDK for JavaScript. |
3 Intermediate | |
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Viya Integration with SingleStore: Architecture and Deployment Guidance
This course provides content and examples to convey architecture concepts and considerations for the SAS Viya with SingleStore software offering. Hands-on exercises are provided to guide the student to deploy SAS Viya with SingleStore to a Microsoft Azure cloud environment. |
4 Advanced | |
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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 | |