SAS Visual Analytics

Title Level Training Formats
SAS Viya Administration: Essentials
This essentials course introduces administrators to SAS Viya 3.5. The course provides an overview of the SAS Viya architecture and shows how to perform essential administration tasks using SAS Environment Manager and the command line interface.

The self-study e-learning includes:

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

3 Intermediate Classroom
SAS Learning Conference for SAS Visual Analytics Users
We would like to invite you to a different way of learning SAS.

We do it in shorter time, covering more topics, lot's of hands-on exercises and get closer to your specific SAS-challenges.

Experts at Your Service
The instructors at the event are some of our most experienced colleagues in the Nordics, with many years of experience using SAS.

The learning day has two tracks and the possibility to Ask-the-experts.

In the first two we have shorter presentations of approximately one hour with handouts and hands-on exercises for selected sessions to underpin that you can bring the main points with you home. For the Ask-the-experts sessions, you can bring you own issues and get help on your specific questions.

This day is the ultimate possiblility for Tips & Tricks in SAS Visusal Analytics.

0 No level Classroom
SAS Visual Analytics: Administering a Non-Distributed Deployment on Windows
This course teaches you how to administer a SAS Visual Analytics non-distributed environment on Windows.

1 Beginner Classroom
Data Can Be Beautiful: Crafting a Compelling Story with SAS Visual Analytics
Do your reports effectively communicate the message you intended? Are your reports aesthetically pleasing? An attractive report does not ensure the accurate delivery of a data story, nor does a logical data story guarantee visual appeal. This course provides guidance for report designers to facilitate the creation of compelling data stories with SAS Visual Analytics. The primary goal of a report is to enable readers to quickly and easily get answers to their questions. Achieving this goal is strongly influenced by the choice of visualizations for the data, the quantity and arrangement of the information that is included, and the use or misuse of color.

During the morning session tips will be provided on how to express quantitative data using the most appropriate graphs; instructs report designers about the meaning of colors. A thoughtfully designed report can educate the viewer without compromising visual appeal. After the lunch you will learn how to use the SAS Visual Analytics Designer to facilitate the creation of reports that are both informative and beautiful.

1 Beginner Classroom
SAS Visual Analytics: Transitioning from SAS 9 to SAS Viya
This course examines features in SAS Visual Analytics 8.5 and shows how to access the same features in SAS Visual Analytics 2020.1. This course also uses SAS Visual Analytics 2020.1 to illustrate how SAS Visual Analytics Explorer and Designer have been combined in a single application.

1 Beginner Classroom
SAS Visual Analytics in SAS Viya: Fast Track
This course provides an introduction and advanced features to data preparation, data discovery, and report creation in SAS Visual Analytics.

3 Intermediate Classroom
Administration in SAS Plattform and SAS Visual Analytics New
This intensive training course provides accelerated learning for those students who will administer the platform for SAS Business Analytics. This course is for individuals who are comfortable with learning large amounts of information in a short period of time. The SAS Platform Administration 2: Security and SAS Platform Administration 1: Essentials courses are available to provide the same type of information in a more detailed approach over a longer period of time. The last part of this course teaches how to administer SAS Visual Analytics environment deployed on Linux.

4 Advanced Classroom
Analytics Value Training


Program description
The Analytics Value Training (AVT) is in its essence a software and technology agnostic/independent program, that helps to transform organizations to be more data-driven and obtain business value with analytics. The program objectives are to establish a mindset for analytics, understand the business value and develop critical skills to succeed in the organization’s interdepartmental analytics efforts. Attendees can bring their own cases and benefit from the expertise of an ecosystem of industry thought leaders.
The program will be delivered in 14 virtual workshop sessions during 12 months. The learning consists of learning lessons and hand-on sessions.

Program outcomes and Learning Objectives
Knowledge
  • Define value created by analytics in organizations
  • Identify suitable advanced analytical techniques for their tasks
  • Recognize necessary data for each task
  • Match relevant data for specific analytics
  • Skills
  • Apply analytical techniques for analytics
  • Develop analytical models
  • Perform business analytics
  • Compare different solutions/models
  • Abilities
  • Communicate analytics value in different context
  • Present solutions in a clear manner
  • Define analytics problem clearly
  • 1 Beginner Classroom Live Web Classroom
    SAS Visual Analytics 7.5 for SAS9: Fast Track
    This course describes data preparation (including advanced features), data discovery, analytics, and report creation in SAS Visual Analytics.

    1 Beginner Classroom Live Web Classroom
    SAS Visual Analytics for SAS Viya: Fast Track
    This course describes data preparation (including advanced features), data discovery, analytics, and report creation in SAS Visual Analytics. This course is available as instructor-led training and combines topics from SAS Visual Analytics 1 for SAS Viya: Basics and SAS Visual Analytics 2 for SAS Viya: Advanced.

    1 Beginner Classroom Live Web Classroom
    SAS Visual Analytics 1 for SAS9: Basics
    This course provides an introduction to data preparation, data discovery, and report creation in SAS Visual Analytics.

    1 Beginner Classroom Live Web Classroom e-Learning
    Graphing Data Effectively and Avoiding Common Pitfalls
    The human mind is geared to look at patterns and attach immediate explanation to the patterns, consciously or subconsciously, and sometimes that conclusion or explanation might not be apt. This course discusses the common fallacies and paradoxes in statistics and data analysis, as well as common pitfalls in data visualization. The course also teaches general guidelines that help you avoid those pitfalls to ensure a fair and accurate representation of facts.

    1 Beginner Classroom Live Web Classroom 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
    SAS Visual Analytics 1 for SAS Viya: Basics
    This course provides an introduction to data preparation, data discovery, and report creation in SAS Visual Analytics.

    1 Beginner Classroom Live Web Classroom e-Learning
    SAS Visual Analytics for SAS 9: Administering a Distributed Deployment
    This course teaches how to administer a SAS Visual Analytics environment deployed on Linux.

    The self-study e-learning includes:

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

    3 Intermediate Classroom Live Web Classroom e-Learning
    Strategies and Concepts for Data Scientists and Business Analysts
    To be effective in a competitive business environment, analytics professionals need to use descriptive, predictive, and prescriptive analytics to translate information into decisions. An effective analyst also should be able to identify the analytical tools and data structures to anticipate market trends.

    In this course, you gain the skills that data scientists and statistical business analysts must have to succeed in today's data-driven economy. Learn about visualizing big data, how predictive modeling can help you find hidden nuggets, the importance of experiments in business, and the kind of value you can gain from unstructured data.

    This course combines scheduled, instructor-led classroom or Live Web sessions with small-group discussion, readings, and hands-on software demonstrations, for a highly engaging learning experience.

    The self-study e-learning includes:

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

    3 Intermediate Classroom Live Web Classroom e-Learning
    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 Classroom Live Web Classroom e-Learning
    Mapping and Esri Integration on the SAS Viya Platform
    This course describes how to use geographic data on the SAS Viya platform and how to create and enhance geo maps in SAS Visual Analytics with Esri services and other tools.

    3 Intermediate Classroom Live Web Classroom e-Learning
    SAS Visual Analytics 2 for SAS9: Advanced
    This course describes advanced features of data preparation, analytics, and report creation in SAS Visual Analytics.

    4 Advanced Classroom Live Web Classroom e-Learning
    SAS Visual Analytics 2 for SAS Viya: Advanced
    This course describes advanced features of data preparation, analytics, and report creation in SAS Visual Analytics.

    The e-learning course covers SAS Visual Analytics 2023.03 LTS in SAS Viya. Students with Visual Analytics 8.5 and other versions of SAS Viya can also take the course.

    4 Advanced Classroom Live Web Classroom e-Learning
    Introduction to Web Design
    This course provides an introduction to web design using HTML, CSS, Bootstrap, and JavaScript. This course can help you prepare for the Using the Report Components Library in the SAS Viya SDK for JavaScript course.

    1 Beginner e-Learning
    Explore and Visualize: Getting Started Free e-learning
    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 e-Learning
    Introduction to Data Science
    The goal of this course is to make analytics approachable and comprehensible. After completing this course, you will be able to perform the main data-related tasks for the citizen data scientist using the point-and-click capabilities of SAS Visual Analytics and SAS Visual Statistics: accessing and manipulating data, exploring data using analytics, and building predictive models.

    1 Beginner Live Web Classroom
    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 Live Web Classroom
    Summer Fast Track: Accessible Analytics
    This course is for those who are working with big data and want to prepare their data, explore their data, and model their data in a visual way. Results will be presented in an interactive report. SAS Visual Analytics and SAS Visual Statistics are the tools that are used in the training. This fast track combines the courses SAS Visual Analytics 1 for SAS Viya: Basics, SAS Visual Analytics 2 for SAS Viya: Advanced, and SAS Visual Statistics in SAS Viya: Interactive Model Building.

    1 Beginner Live Web Classroom