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.
Course Overview
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
Learning Outcomes
Learn how to use SAS Visual Analytics 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 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.
Course Outline Course Outline (PDF)
Module 1: Introduction to SAS Viya and SAS Data Preparation
Module 2: Discover, Ingest, and Explore Data
Module 3: Self-Service Data Preparation for Analytics-Ready Data
Module 4: Transform Data into Analytics-Ready Data
Module 5: Data Governance and Lineage
Class Schedule 2026
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Feb
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May
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Aug
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Sep
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Dec
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