This course provides an overview of the analytic data preparation capabilities of SAS Data Preparation on the SAS Viya platform. 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
- ingest and blend data from a variety of data sources
- visually analyze and profile data for better understanding of quality issues
- collaborate and share data on data management projects
- wrangle data in a self-service data preparation environment with no coding skills
- leverage custom SAS code preparing analytic-driven 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 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.
