This course provides an overview of the data preparation capabilities of SAS Data Preparation in SAS Viya. These data preparation capabilities include bringing data in from a variety of sources, assessing the structure and quality of data, preparing and cleansing the data to be fit for purpose, exploring and monitoring the relationships between objects in your environment, and sharing the data with others to promote collaboration and operational use.
Learn how to
- Ingest and blend data from a variety of data sources.
- Visually assess and profile data with multiple tools for better understanding of quality issues.
- Restructure and cleanse data without using code.
- Write SAS code to perform custom processing on your data.
- Examine relationships between data to assess impact and aid in governance.
- Create and schedule repeatable workflows to automate time-consuming data preparation tasks.
Who should attend
Business 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:
- Log on and off a computer and use a keyboard or mouse.
- Use a web browser to access information.
This course addresses SAS Viya software.