The workflow validates the dataset by applying multiple checks such as identifying outliers, verifying column value ranges, checking for null, minimum, and maximum values, and confirming positive or non-negative entries. It also ensures primary key uniqueness, validates data patterns using regular expressions, confirms data presence, and checks that column values belong to defined sets. These combined checks help maintain high-quality and reliable data for analysis.