High-quality data is the foundation of reliable analytics, operational efficiency, and responsible AI. A systematic approach to data quality governance is essential for supporting organizational priorities, complex data landscapes, and evolving technology environments. This course, instructed by data management expert Irina Steenbeek applies a structured methodology to translate data quality principles into practical governance capabilities. 

Participants work through the definition of a data quality management capability map, the establishment of governance artifacts and standards, and the clarification of processes and RACI-based role responsibilities. The curriculum also addresses tool requirements, maturity assessment, KPI development, and the data quality considerations specific to AI systems—enabling consistent measurement and continuous improvement of data quality performance across the organization. 

Course Highlights  

• Tailored data quality governance frameworks for organizational needs. 
• Data quality dimensions, rules, and controls for robust management. 
• Role, process, and policy alignment through RACI models. 
• Data quality considerations for AI systems. 
• Maturity and performance measurement using KPIs. 

Pricing and Credits  

• Individual Course Price: $99 
• Learning Plan Price: $749 
• Course CEUs: 2.5 hours 

By the End of This Course, You’ll Be Able To:  

• Build a data quality capability map aligned to business needs. 
• Define quality checks, standards, and governance artifacts. 
• Assign clear ownership across data quality roles. 
• Assess maturity and track data quality performance. 

Why Take This Course?  

This course offers a structured approach to data quality governance, covering frameworks, standards, roles, and processes. It equips organizations to improve trust, ensure consistency, and make more reliable, data-driven decisions at scale. 

Is This Course Right for You or Your Team?  

This course is ideal for:  

• Data and analytics leaders 
• Business and enterprise architects 
• Data governance and quality professionals 
• Product owners and AI stakeholders 

No technical experience is required. This course is designed for business-focused professionals seeking to establish practical, organization-wide data quality governance that supports analytics and AI initiatives. 

This Course Includes:  

• A 110-minute educational training video  
• A 17-question content-based practice exam  
• “Check for Understanding” quizzes after each section  
• Downloadable presentation slides , templates, and exercises
• Self-paced, on-demand access with progress tracking  
• Unlimited course access