About Course

The Certificate Course in Data Quality Assessment equips learners with the knowledge and practical skills to assess, monitor, and improve the quality of health and organizational data. Participants will learn internationally recognized data quality assessment (DQA) methodologies to ensure data is accurate, complete, timely, consistent, and reliable for informed decision-making.

Designed for healthcare professionals, public health practitioners, monitoring & evaluation (M&E) officers, data managers, researchers, programme managers, and development professionals, this course combines global best practices with practical exercises and real-world case studies.

What Will You Learn?

  • Understand the principles of data quality assessment.
  • Assess data accuracy, completeness, consistency, and timeliness.
  • Apply internationally recognized DQA frameworks.
  • Conduct data verification and validation.
  • Identify and resolve data quality issues.
  • Develop data quality improvement plans.
  • Strengthen data governance and reporting.
  • Apply DQA tools through practical case studies.

Course Content

Module 1: Introduction to Data Quality

  • Data Quality Fundamentals
  • Data Quality Dimensions
  • Common Data Quality Challenges
  • DQA Frameworks

Module 2: Data Quality Assessment Methods

Module 3: Data Collection & Verification

Module 4: Data Analysis & Reporting

Module 5: Data Quality Improvement

Module 6: Digital Tools & Standards

Module 7: Practical Applications