SAS Studio

Название Уровень Форматы обучения
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 Live Web Classroom
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 Live Web Classroom
Essential Data Analysis Using SAS Studio Tasks: A Point-and-Click Approach
In this course, you gain introductory knowledge into exploratory data analysis using SAS Studio tasks that execute the FREQ, MEANS, and UNIVARIATE procedures. The course focuses on the differences among these procedures as well as output interpretation. Introductory statistics terminology is also discussed.

2 Fundamental Live Web Classroom
Программирование на SAS Viya
Данный курс предназначен для тех, кому необходимо изменить существующие программы на языке SAS Base для их выполнения в SAS Viya. Этот курс использует возможности SAS Cloud Analytic Services (CAS) для доступа, управления и манипулирования таблицами в памяти.

3 Intermediate Classroom Live Web Classroom
Exploring SAS Studio for SAS Programmers
This course provides an introduction to SAS Studio for experienced SAS programmers. SAS Studio is an interface that enables users to write and submit SAS programs and use snippets and tasks to generate SAS code.

The self-study e-learning includes:

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

3 Intermediate Live Web Classroom e-Learning
Time Series Modeling Essentials
This course discusses the fundamentals of modeling time series data. The course focuses on the applied use of the three main model types used to analyze univariate time series: exponential smoothing, autoregressive integrated moving average with exogenous variables (ARIMAX), and unobserved components (UCM).

The e-learning format of this course includes Virtual Lab time to practice.

3 Intermediate Live Web Classroom e-Learning