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.
Apprendre à
- 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 when 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.
A qui s’adresse cette formation ?
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
Formats de formation disponibles | Durée standard (peut varier selon les sessions. Se référer au calendrier) | | |
Formations à distance: |
4 sessions d'une demi-journée chacune |
e-Learning: |
14 heures/180 jour licence |
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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.
Cette formation concerne SAS Viya logiciel
