Data Quality for
Certification
Data Quality for Certification
Course Duration: 2 Days
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This course is for all Data Management and Data Quality professionals
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The Data Quality for Certification course covers all aspects of a Data Quality Professional’s responsibilities, as well as preparing them to confidently take the CDMP Data Quality Specialist exam. The course explains the Data Quality chapter in the DMBOK Version 2 Revised Edition, including use cases and examples, as well as connecting concepts to the related aspects in the other Data Management Functions.
DMBOK Chapter 13 is covered in detail, as well as extra information not in the DMBOK to enable a Practitioner or Master pass.
Course Outline
Day 1Â Introduction
- DQ Pre-Assessment
- Data Quality – DMBOK Chapter 13
- Business Drivers, Goals and Principles, DQ Thought Leaders, Essential Concepts including Criticality and DQ Dimensions, DQ Activities, Tools and Techniques for Data Quality, Â
- Preventative and Corrective Actions, Basic Statistics, Implementation
- Data Quality and other Knowledge Areas
- Data Quality Governance
- Data Strategy, Practice Definition, Policy Management
Day 2Â Data Quality Tools
- Data Quality Frameworks / Methodology Review
- Data Quality Assessment Methods and Tools
- Practical doing the initial Data Quality Assessment using Power BI
- DQ CDMP Exam Review and Sample Questions
- DQ Post-Assessment
Benefits of attending the Data Quality Course are
Stay Compliant: Learn how to manage data in line with business goals and regulations to reduce risk and ensure compliance.
Make Better Decisions: Understand how data quality affects decision-making and helps improve business performance.
Clarify Roles: Define clear responsibilities for managing data, improving teamwork between business and IT.
Promote Data Excellence: Build skills to support a culture of good data practices and continuous quality improvement
Who should attend?
All Data Professionals
Data Quality professionals
Anyone wishing to write the CDMP Data Quality specialist exam
