Struktura kurzu
Includes the following on-demand courses:
- 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.
- 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.
- 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.
- Transitioning SAS Enterprise Guide Projects to SAS Studio Flows
This course enables experienced SAS Enterprise Guide users to understand how to transition SAS Enterprise Guide projects to SAS Studio Flows.
- Exploring SAS Studio for SAS Analytics Pro
This course demonstrates how the functionality and features of SAS Studio for SAS Analytics Pro in SAS Viya can enable SAS programmers to save time by coding more efficiently.
- 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 Supervised Machine Learning Pipelines Using SAS(R) Viya(R), Interactive Machine Learning in SAS® Viya®, SAS® Visual Statistics in SAS® Viya®: Interactive Model Building, and Supervised Machine Learning Using SAS(R) Viya(TM) .
For students interested in statistics for inference and explanatory analysis used in scientific and medical research, Statistics I: Introduction to ANOVA, Regression, and Logistic Regression is an appropriate foundational course.
- 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.
- Writing a Custom Task for SAS Studio
This course is for SAS Studio users who want to edit or create their own tasks.
