SAS Visual Statistics

Cím Szint Képzési forma
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
SAS Visual Statistics: Interactive Model Building
This course introduces SAS Visual Statistics for building predictive models in an interactive, exploratory way. Exploratory model fitting is a critical step in modeling big data. This course is appropriate for users of SAS Visual Analytics 7.2, 7.3, and 7.4.

3 Intermediate Classroom
SAS Visual Statistics in SAS Viya: Interactive Model Building
This course introduces SAS Visual Statistics for building predictive models in an interactive, exploratory way. Exploratory model fitting is a critical step in modeling big data.

The classroom and Live Web course is appropriate for users of SAS Visual Analytics in SAS Viya 3.5. In e-learning, there is a course for users of SAS Visual Analytics in SAS Viya 3.5, and there is also a course for users of SAS Visual Analytics in SAS Viya 2020.1.

3 Intermediate Live Web Classroom e-Learning
Strategies and Concepts for Data Scientists and Business Analysts Business Knowledge Series
Note: This course does not provide comprehensive training on software products, but you do use SAS Visual Statistics, SAS Enterprise Miner, and SAS Text Miner software to complete class assignments. Prior knowledge of these software products is not required.

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.

3 Intermediate Classroom Live Web Classroom