How long is the Data Quality Management course?

The course runs approximately 31 hours across 8 modules and 16 lessons, completed online at your own pace.

How much does Data Quality Management cost?

The training fee is KES 15,000, with M-Pesa, card and Paystack payment options and lifetime access.

Is Data Quality Management certified?

Yes. On passing the final assessment you receive a GLI-branded certificate with QR verification. CCS is NITA-accredited.

Data Quality Management | CCS Online Learning

Name: Data Quality Management
Price: 15000 KES

Build practical, job-ready capability in data quality management for Kenya's dynamic business environment. This professional course combines proven international frameworks with African case studies and real workplace application.

What You Will Learn

✓Apply the core principles and frameworks of data quality management
✓Lead practical tools to real workplace challenges
✓Align and improve current practices in their organisation
✓Design and implement effective approaches with measurable outcomes
✓Analyse data analytics practice with organisational strategy
✓Apply risk, compliance and governance considerations

Modules

Lessons

31 hours

Duration

🎍 Certificate & NITA Accreditation

On passing the final exam (50 MCQs, 70% pass mark, unlimited retakes) you receive a GLI-branded PDF certificate with QR verification. CCS is NITA-accredited — eligible employers can claim NITA levy reimbursement for this course.

Course Curriculum

8 modules · 16 lessons · Interactive quizzes · Study notes · Practical exercises · Final exam

Module 1: Foundations and Key Concepts

2 lessons · 80 min · 3 hours

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Understanding the Fundamentals

40 min

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Key Concepts and Terminology

40 min

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📝 Study Notes

KEY TAKEAWAYS — Foundations and Key Concepts • Data Quality Management requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Foundations and Key Concepts". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 2: Strategic Context and Environment

2 lessons · 104 min · 4 hours

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Reading the Operating Environment

63 min

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Aligning with Organisational Strategy

41 min

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📝 Study Notes

KEY TAKEAWAYS — Strategic Context and Environment • Data Quality Management requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Strategic Context and Environment". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 3: Core Frameworks and Tools

2 lessons · 95 min · 4 hours

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Essential Frameworks and Models

50 min

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Practical Tools and Techniques

45 min

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📝 Study Notes

KEY TAKEAWAYS — Core Frameworks and Tools • Data Quality Management requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Core Frameworks and Tools". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 4: Planning and Design

2 lessons · 105 min · 4 hours

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Planning for Success

48 min

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Designing the Approach

57 min

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📝 Study Notes

KEY TAKEAWAYS — Planning and Design • Data Quality Management requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Planning and Design". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 5: Implementation and Execution

2 lessons · 107 min · 4 hours

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Executing Effectively

56 min

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Managing Delivery and Stakeholders

51 min

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📝 Study Notes

KEY TAKEAWAYS — Implementation and Execution • Data Quality Management requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Implementation and Execution". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 6: Measurement and Performance

2 lessons · 119 min · 4 hours

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Metrics, KPIs and Dashboards

61 min

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Continuous Improvement

58 min

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📝 Study Notes

KEY TAKEAWAYS — Measurement and Performance • Data Quality Management requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Measurement and Performance". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 7: Risk, Governance and Compliance

2 lessons · 108 min · 4 hours

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Managing Risk and Compliance

44 min

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Governance and Accountability

64 min

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📝 Study Notes

KEY TAKEAWAYS — Risk, Governance and Compliance • Data Quality Management requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Risk, Governance and Compliance". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 8: Leadership, Culture and Sustainability

2 lessons · 117 min · 4 hours

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Leading People and Culture

54 min

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Sustaining Results Long-Term

63 min

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📝 Study Notes

KEY TAKEAWAYS — Leadership, Culture and Sustainability • Data Quality Management requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Leadership, Culture and Sustainability". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Who Should Attend

▸Managers and supervisors responsible for data analytics
▸Professionals seeking to advance their careers in data analytics
▸Team leaders and officers in the public and private sectors
▸Anyone transitioning into a data analytics role
▸Consultants, advisors and practitioners in the field

No prior qualification is required. This course is delivered 100% online and is suitable for professionals across Kenya and the wider African region.

Learning Outcomes

By the end of this course, participants will be able to:

✓Apply the core principles and frameworks of data quality management
✓Lead practical tools to real workplace challenges
✓Align and improve current practices in their organisation
✓Design and implement effective approaches with measurable outcomes
✓Analyse data analytics practice with organisational strategy
✓Apply risk, compliance and governance considerations

Quick Details

Duration31 hours

Modules8 modules

Lessons16 lessons

LevelProfessional

PriceKES 15,000

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Data Quality Management

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Course Curriculum

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