Data quality is a large and complex field with many dimensions. Every data quality practitioner needs a foundation of concepts, principles, and terminology that are common in quality management. Building upon that foundation, they need to understand how quality management concepts and principles are applied to data, as well as the language and terminology that specifically apply to data quality. This course provides an overview of the field of data quality with the goal of building strong foundational knowledge.

• basic concepts, principles, and practices of quality management
• general quality management terminology
• data-specific quality management terminology
• how quality management principles are applied to data

• are getting started in the data quality field
• are preparing for in-depth study of data quality and needs to start with the basics
• work with DQ professionals and needs to understand what they do
• need to “speak the data quality language”