The Data Governance Fundamentals course is a structured, interactive program designed to provide a comprehensive foundation in data governance practices. The course is divided into distinct modules, each focusing on key elements of data governance and delivered through engaging sessions designed for practical application.

Module 1: Introduction to Data Governance

• Overview of data governance and its role in effective data management
• Understanding key terminology and concepts in data governance
• Exploring the strategic importance of data governance in today’s organizations

Module 2: Data Governance Frameworks

• Designing and implementing a data governance framework aligned with organizational goals
• Key principles and best practices for successful framework development
• Understanding the roles and responsibilities of data governance stakeholders

Module 3: Data Security and Privacy

• Best practices for safeguarding sensitive data and mitigating risks
• Overview of data privacy regulations and compliance requirements
• Strategies for ensuring data security across the organization

Module 4: Ensuring Data Quality

• Techniques for assessing, monitoring, and improving data quality
• Processes for data profiling, cleansing, and validation
• Methods to ensure data accuracy, completeness, and consistency

Module 5: Data Governance in Practice

• Real-world case studies demonstrating the application of data governance
• Hands-on exercises for designing governance policies and resolving challenges
• Exploring the impact of effective governance on business outcomes

Module 6: Data Governance Tools and Technologies

• Overview of tools and technologies that support data governance initiatives
• Strategies for evaluating, selecting, and implementing governance solutions
• Leveraging technology to streamline governance processes and enhance compliance

This course equips participants with the knowledge and skills to design, implement, and manage robust data governance frameworks, ensuring data quality, security, and compliance. With practical insights and actionable strategies, the Data Governance Fundamentals program empowers professionals to drive value and innovation through effective governance practices.

The Data Governance Fundamentals course is designed for professionals involved in data governance, management, or compliance, as well as those seeking to establish effective governance frameworks to ensure data quality and security. The target audience includes:

• Data Governance Professionals: Individuals responsible for designing, implementing, and maintaining governance frameworks, ensuring compliance with regulations, and overseeing data policies and practices within their organizations.
• Data Stewards: Professionals who manage specific datasets, ensuring their quality, integrity, and security throughout their lifecycle while supporting governance objectives.
• Data Managers and Analysts: Those tasked with overseeing data management practices or analyzing data to support organizational decision-making, who need to understand the role of governance in ensuring reliable, high-quality data.
• IT and Security Professionals: Individuals involved in maintaining the infrastructure, security, and integration of data systems who require an understanding of governance frameworks to align technical practices with organizational policies.
• Compliance Officers: Professionals who work to ensure adherence to data privacy regulations, industry standards, and organizational policies, and who need to understand the role of governance in regulatory compliance.
• Business Leaders and Decision Makers: Managers, executives, and leaders seeking to understand how effective data governance supports strategic decision-making, operational efficiency, and regulatory compliance.
• Anyone Interested in Data Governance: Individuals from any industry or role who want to develop foundational knowledge in data governance principles, tools, and best practices to support their professional growth.

This course is ideal for professionals at any stage of their career who are looking to strengthen their knowledge of data governance, whether to enhance their organization’s governance strategies or advance their own expertise in managing data effectively.

The Data Governance Fundamentals course culminates in an official APMG examination, designed to assess participants’ understanding of core data governance concepts. This structured evaluation ensures that learners have acquired the foundational knowledge needed to confidently design and implement effective data governance frameworks. Below are the key details of the examination:

• Material Allowed: This is a closed-book exam. No study materials, including the course guide, are permitted during the examination.
• Exam Duration: The exam duration is 60 minutes. For candidates taking the exam in a language other than their native or working language, an additional 25% of time is provided, extending the duration to 75 minutes.
• Marks and Scoring: The exam comprises 40 multiple-choice questions, each worth 1 mark. There is no negative marking, and unanswered questions do not earn marks. To pass, participants must score at least 26 marks (65%). A higher pass mark of 30 marks (75%) is required for individuals aiming to become certified trainers.
• Complexity: The questions range across Bloom’s Levels 1, 2, and 3. Level 1 focuses on recalling basic facts and definitions, such as identifying key components of a governance framework. Level 2 involves understanding and explaining concepts, like differentiating data governance from data management. Level 3 assesses the ability to apply knowledge in practical scenarios, such as recommending tools for improving data quality.

This examination validates that participants have developed a solid foundation in data governance, equipping them to apply their knowledge effectively in organizational contexts and advance their careers as data governance professionals.