Prosperas Skills Center

data management and governance training

Data Management, Warehousing and Governance Training 2026

Duration: 5 Days

Location: Nairobi

Course Overview

Data is one of the most valuable assets an organization holds. But without the right systems, policies, and governance, it quickly becomes unreliable, inaccessible, or a compliance risk. This course teaches you how to manage data properly from the ground up.

You will learn how to design and implement data warehouse models, build governance frameworks, and maintain data quality across systems. The course covers data lifecycle management, ETL processes, dimensional modeling, metadata management, and how to align data practices with business intelligence and analytics goals.

Compliance is woven throughout the course. You will learn how to apply data protection standards including GDPR and the Data Protection Act, and how to set up accountability structures that keep your organization’s data practices audit-ready.


Course Objectives

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

  • Understand the key components of effective data management.
  • Design and implement data warehousing solutions.
  • Apply data governance frameworks and organizational data policies.
  • Ensure data quality, consistency, and security across systems.
  • Align data practices with business intelligence and analytics goals.
  • Support regulatory compliance and responsible data stewardship.

Who Should Attend

This course is for professionals who manage, store, or rely on data to support organizational decisions and compliance.

  • Data Managers and Data Stewards
  • ICT Officers and Database Administrators
  • Systems Analysts and Data Architects
  • Compliance Officers and Risk Managers
  • Business Intelligence and Analytics Professionals
  • Professionals Involved in Data Strategy, Storage, and Utilization

How the Training Works

The course combines expert instruction with hands-on design exercises and real-world data scenarios.

  • Expert-led sessions and live demonstrations of data systems and tools.
  • Data architecture design workshops.
  • Governance framework development exercises.
  • Case study analysis on data management challenges and solutions.
  • Peer collaboration and best practice sharing sessions.

What You Will Walk Away With

After this course, you will have the skills to build and maintain data systems that are reliable, secure, and fit for purpose.

  • The ability to design and implement data warehouse models for your organization.
  • A working governance framework with clear data ownership and accountability structures.
  • Practical techniques for data profiling, cleaning, and quality assurance.
  • A clear understanding of GDPR, DPA, and other data compliance requirements.
  • Skills to align data management with business intelligence and organizational strategy.

Course Modules

Module 1: Principles of Data Management

  • Data lifecycle management from creation to disposal.
  • Metadata, master data, and reference data explained.
  • Roles and responsibilities in data stewardship.

Module 2: Designing and Implementing Data Warehousing

  • Data warehousing concepts and architecture options.
  • ETL (Extract, Transform, Load) processes and best practices.
  • Dimensional modeling and star schema design.

Module 3: Data Governance Frameworks

  • Data governance principles and maturity models.
  • Developing and rolling out data governance policies.
  • Data ownership, accountability structures, and stewardship roles.

Module 4: Data Quality and Compliance

  • Data profiling and cleansing techniques.
  • Ensuring accuracy, completeness, and timeliness of data.
  • Compliance with GDPR, the Data Protection Act, and other standards.

Module 5: Business Intelligence and Strategic Use of Data

  • Integrating data analytics and reporting into decision-making.
  • Dashboards, KPIs, and decision support tools.
  • Aligning data management strategy with organizational goals.

Course General Information

This course is delivered by qualified and experienced trainers with extensive expertise in their respective fields. Our training approach combines interactive theory sessions, hands-on practical activities, group work, and case studies, ensuring a dynamic and impactful learning experience.

Training Location

The sessions will be held at PROSPERAS SKILLS CENTER, Nairobi, Kenya. We also offer tailor-made group training at client-requested locations upon prior arrangement.

Certification

Upon successfully completing the training, participants will be awarded a certificate from PROSPERAS SKILLS CENTER.

Fees and Inclusions

Covers tuition, training materials, lunch, and venue. Accommodation and airport transfers can be arranged upon request.

Payment Details

Payment must be made to our bank account prior to the commencement of training. Please forward proof of payment to: trainings@prosperasskillscenter.com

For Further Inquiries

Contact us via email: trainings@prosperasskillscenter.com

Data Management, Warehousing and Governance Training 2026

Start Date End Date Online Fee (USD) In-Person Fee (USD) Register
17 Nov, 2025 21 Nov, 2025 1000 1500 Enroll
24 Nov, 2025 28 Nov, 2025 1000 1500 Enroll
01 Dec, 2025 05 Dec, 2025 1000 1500 Enroll
15 Dec, 2025 19 Dec, 2025 1000 1500 Enroll
05 Jan, 2026 09 Jan, 2026 1000 1500 Enroll
12 Jan, 2026 16 Jan, 2026 1000 1500 Enroll
19 Jan, 2026 23 Jan, 2026 1000 1500 Enroll
26 Jan, 2026 30 Jan, 2026 1000 1500 Enroll
02 Feb, 2026 06 Feb, 2026 1000 1500 Enroll
09 Feb, 2026 13 Feb, 2026 1000 1500 Enroll
23 Feb, 2026 27 Feb, 2026 1000 1500 Enroll
23 Feb, 2026 27 Feb, 2026 1000 1500 Enroll
02 Mar, 2026 06 Mar, 2026 1000 1500 Enroll
09 Mar, 2026 13 Mar, 2026 1000 1500 Enroll
23 Mar, 2026 27 Mar, 2026 1000 1500 Enroll
13 Apr, 2026 17 Apr, 2026 1000 1500 Enroll
20 Apr, 2026 24 Apr, 2026 1000 1500 Enroll
04 May, 2026 08 May, 2026 1000 1500 Enroll
11 May, 2026 15 May, 2026 1000 1500 Enroll
18 May, 2026 22 May, 2026 1000 1500 Enroll
08 Jun, 2026 12 Jun, 2026 1000 1500 Enroll
15 Jun, 2026 19 Jun, 2026 1000 1500 Enroll
22 Jun, 2026 26 Jun, 2026 1000 1500 Enroll
29 Jun, 2026 03 Jul, 2026 1000 1500 Enroll
06 Jul, 2026 10 Jul, 2026 1000 1500 Enroll
13 Jul, 2026 17 Jul, 2026 1000 1500 Enroll
20 Jul, 2026 24 Jul, 2026 1000 1500 Enroll
27 Jul, 2026 31 Jul, 2026 1000 1500 Enroll
03 Aug, 2026 07 Aug, 2026 1000 1500 Enroll
10 Aug, 2026 14 Aug, 2026 1000 1500 Enroll
17 Aug, 2026 21 Aug, 2026 1000 1500 Enroll
31 Aug, 2026 04 Sep, 2026 1000 1500 Enroll
07 Sep, 2026 11 Sep, 2026 1000 1500 Enroll
14 Sep, 2026 18 Sep, 2026 1000 1500 Enroll
21 Sep, 2026 25 Sep, 2026 1000 1500 Enroll
28 Sep, 2026 02 Oct, 2026 1000 1500 Enroll
12 Oct, 2026 16 Oct, 2026 1000 1500 Enroll
26 Oct, 2026 30 Oct, 2026 1000 1500 Enroll
02 Nov, 2026 06 Nov, 2026 1000 1500 Enroll
09 Nov, 2026 13 Nov, 2026 1000 1500 Enroll
16 Nov, 2026 20 Nov, 2026 1000 1500 Enroll
23 Nov, 2026 27 Nov, 2026 1000 1500 Enroll
30 Nov, 2026 04 Dec, 2026 1000 1500 Enroll
07 Dec, 2026 11 Dec, 2026 1000 1500 Enroll
14 Dec, 2026 18 Dec, 2026 1000 1500 Enroll