Golad Academy
March 2027 cohort
- Starts Mon, 1 March 2027 · 12 weeks
- Live online
Fee: £99Apply now
Applications close 26 February 2027.
Golad Academy · Training Services
Data Governance & Management
This Data Management course introduces essential concepts and practices for organizing, storing, and securing data effectively. Learners will explore database systems, data quality, governance, and compliance while gaining practical skills for handling structured and unstructured data. Designed for beginners and professionals, the course builds a strong foundation for data-driven decision-making.
- Duration:12 weeks
- Skill level:Beginner to Intermediate
- Next cohort:1 March 2027
- Course price:£99
Learning outcomes
What you will be able to do
- Design a data governance operating model with clear owners, stewards and custodians
- Write data policies and standards aligned to UK GDPR and the DAMA-DMBOK
- Measure and improve data quality with rules, profiling and dashboards
- Implement metadata management, data catalogues and lineage
- Plan master and reference data management
- Prepare audit-ready governance and compliance reporting
12 core modules
Curriculum
01Module 1Introduction to Data Governance
- What is Data Governance? Importance in Modern Organizations
- Key Roles and Responsibilities: Data Steward, Data Owner, Data Custodian
- Data Governance Frameworks: DAMA DMBOK, ISO 38500
- Organizational Structure for Governance: Councils, Committees, RACI Charts
02Module 2Data Strategy & Policy
- Aligning Data Strategy with Business Objectives
- Policy Development: Data Privacy, Security, and Quality Standards
- Regulatory Compliance: GDPR, CCPA, HIPAA
- Defining Measurable Objectives and KPIs for Governance Programs
03Module 3Data Architecture & Modeling
- Data Architecture Fundamentals: Logical vs Physical Models
- Data Flow Diagrams and System Integration Mapping
- Data Lineage and Impact Analysis
- Best Practices for Scalable, Secure, and Efficient Data Architecture
04Module 4Data Quality Management
- Understanding Data Quality Dimensions: Accuracy, Completeness, Consistency, Timeliness
- Profiling and Monitoring Data Quality
- Data Cleansing and Enrichment Techniques
- Implementing Data Quality (DQ) Rules and Automated Checks
05Module 5Master & Reference Data Management
- Concepts of Master Data and Reference Data
- Data Harmonization and Standardization Processes
- Golden Record Creation and MDM Best Practices
- Governance Policies for Master and Reference Data
06Module 6Metadata & Data Cataloging
- Importance of Metadata for Governance and Analytics
- Types of Metadata: Business, Technical, Operational
- Implementing Data Catalogs for Discoverability and Lineage
- Tracking Data Usage and Stewardship Responsibilities
07Module 7Privacy, Security & Compliance
- Data Privacy Principles: Consent, Anonymization, Pseudonymization
- Security Controls: Encryption, Access Management, Auditing
- Regulatory Compliance: GDPR, CCPA, HIPAA, SOX
- Privacy Impact Assessments and Risk Evaluation
08Module 8Cloud Data Platforms & Modern Architectures
- Cloud Data Storage Concepts: Data Lakes vs Data Warehouses
- Cloud Governance: Security, Access Control, Cost Management
- ELT/ETL Pipelines in Cloud Environments
- Best Practices for Hybrid and Multi-Cloud Architectures
09Module 9Data Lifecycle Management
- Understanding the Stages of the Data Lifecycle: Creation → Usage → Archival → Disposal
- Data Retention Policies and Legal Considerations
- Archiving Strategies and Backup/Recovery Plans
- Automating Lifecycle Management Processes
10Module 10Governance for BI & AI
- Ensuring Data Consistency for BI Reporting and Analytics
- Governance Considerations for AI/ML Models: Bias, Explainability, Ethics
- Implementing Data Validation and Model Monitoring
- Best Practices for Dashboards and Decision-Making Accuracy
11Module 11Operating the Data Governance Program
- Establishing Governance Councils and Committees
- Tracking Metrics and KPIs for Governance Effectiveness
- Audit Readiness and Compliance Reporting
- Continuous Improvement and Stakeholder Engagement
12Module 12Capstone Project & Career Workshop
- Capstone: Design a Full Data Governance Framework for a Sample Organization
- Implement Data Quality Rules, Master Data Strategy, and Cataloging
- Prepare Reports, Dashboards, and Governance Playbooks
- Career Workshop: Resume, LinkedIn, and Interview Preparation for Data Governance Roles
Industry extension
Optional advanced modules
Self-paced on GADLE alongside the core programme, so your skills keep pace with where the field is heading — including AI.
AI Governance & Data Ethics in Practice
- • The EU AI Act and UK AI regulatory principles
- • Model risk, documentation (model cards) and accountability
- • Data provenance, consent and training-data governance
- • Embedding ethics reviews into delivery
Data Mesh, Data Products & Modern Platforms
- • Data mesh principles and federated governance
- • Defining data products, data contracts and SLAs
- • Governance features of lakehouse platforms (Microsoft Fabric, Databricks, Snowflake)
- • Automating governance with policy-as-code
Benefits of Data Governance & Management
What you’ll gain from this course
- Improved Decision-Making
- Enhanced Data Quality
- Regulatory Compliance
- Operational Efficiency
Tools you’ll use
- Microsoft Purview
- Collibra
- Informatica
- Alation
- Azure Data Catalog
- SQL Server & SSIS
- Power BI
- Excel
Prepares you for
- DAMA® Certified Data Management Professional (CDMP) — Associate
- DAMA-DMBOK® v2 knowledge areas
- Microsoft Purview and data governance learning paths
Career paths
- Data Governance Analyst
- Data Steward
- Data Quality Analyst
- Master Data Analyst
- Data Protection / Privacy Analyst
- Metadata Manager
Certification exams are set and awarded by their own bodies; our curriculum covers their knowledge areas. Trademarks belong to their owners.
Open for applications
Choose your start date
Apply online in about five minutes. An advisor will review your application and contact you.
Questions
Can’t find your answer? Contact us.
When does the next cohort start?
The next cohort for every Golad Academy programme starts on 1 March 2027. Apply online and an advisor will confirm your place.
How much does the course cost?
The course price is £99. Employers can sponsor a place and ask us for an invoice.
Do I need experience?
No. Programmes are designed for beginners to intermediate learners. An advisor reviews every application and will recommend the right starting point.
How is the course delivered?
Through live, instructor-led online classes with real-world projects. Between classes you learn on GADLE, our learning platform, where you will find recordings, lessons and assignments.
What are the industry-extension modules?
Two optional advanced modules, completed on GADLE alongside the twelve core modules, that keep the programme aligned with how the field is changing — including AI.
Get in touch
Ready to Start Your Learning Journey?
Ask an advisor about the programme, fees and the next intake.