Self-Service Data Preparation in SAS Viya
This course provides an overview of the analytic data preparation capabilities of SAS Data Preparation in SAS Viya. These self-service data preparation capabilities include bringing data in from a variety of sources, preparing and cleansing the data to be fit for purpose, analyzing data for better understanding and governance, and sharing the data with others to promote collaboration and operational use.Learn how to
Who should attendBusiness and data analysts, data miners, data scientists, citizen data scientists, statisticians, and others who interact with data from a variety of sources to perform data discovery, wrangling, blending, and manipulation to ensure that the data is fit for purpose in analytical models, explorations, and reports
No SAS experience or programming experience is required, although you should have some computer experience. Specifically, you should be able to:
This course addresses SAS Viya software.
Data Management in the Analytics Economy
|Title||Duration||Access Period||Language||Fee||Add to Cart|
|Self-Service Data Preparation in SAS Viya(2021.2.2 ) (+20 virtual lab hours)||14.0 hours||180 days from order date||English||858 EUR|