The Data Governance Learner Education Pathway is structured to supply individuals with essential knowledge in data governance.  Divided into four distinct levels, each pathway offers a carefully selected series of courses that facilitate a progressive understanding of topics commonly encountered within organizations and integral to career advancement. 

These Education Pathways are designed for anyone pursuing a conceptual comprehension of data governance across various fields and industries, with the goal of stimulating critical thinking and demonstrating how to better leverage any organization’s data and information resources.

Each pathway consists of 3.25 – 4.25 hours of standard course content, supplemented by practice exams after each course. Upon successful completion of the courses within a Pathway, participants will be awarded certificates for both the individual courses and the entire Pathway. Each Pathway also consists of 2.5 – 5.0 hours of elective content for more in-depth study.

Data Governance Learner Education Pathway (Level 1):

This Education Pathway provides learners with a comprehensive understanding of data governance principles, frameworks, and best practices, beginning with an introduction to the basic concepts and importance of data governance, covering benefits and challenges associated with implementing a data governance program in an organization. It dives into the core components of a data governance operating model, and the roles and responsibilities, processes, and tools needed to establish a governance structure.

Additionally, courses within this Pathway highlights practical insights and strategies for ensuring data quality, compliance, and effective data management, as well as the essential elements of a data governance policy and how to develop and enforce it within an organization, allowing participants to gain a well-rounded understanding of data governance.

Electives within this Pathway offer learners insights on engaging employees and grass roots efforts, balancing agility with governance, gaining executive support, and leveraging real-world case studies.

Each Course Includes:

• A 28- to 55-minute educational training video
  • Total standard course time: 3.45 hours
  • Total elective course time: 4.43 hours
• A 7- to 17-question review exam
• “Check for Understanding” quizzes after each course section
• Self-paced and on-demand e-learning
• Unlimited course access
• Pathway CEUs: 10.5 hours

Required Courses within this Education Pathway:

• What is Data Governance? (Anthony Algmin)
• DG1: Getting Started Governing Data – The Data Governance Framework (Kelle O’Neal)
• DG2: Creating a Data Governance Operating Model (Kelle O’Neal)
• DG6: Data Governance Best Practices (Kelle O’Neal)
• DG5: Data Governance Policy (Kelle O’Neal)

Elective Courses within this Pathway:

• EDW Fall 23: Grass Roots Data Governance (Roy Schmidt)
• EDW 24 – Agility vs Governance – Finding the Balance (Vanessa Lam)
• EDW 24: Data Governance Build in A Box (Michael Colbert)
• DGIQ-W23: Becoming a Data Governance Enabler – Case Study (Chantal Marcoux)
• EDW 24 – How Do We Help Executives get Data Governance (Tim Goswell)
• EDW Fall 23: Providing Leadership in Data Governance (Theresa Ancick)

Applicable Job Roles/Functions:

Data governance staff, data governance office members, business unit leaders, data and information architects, enterprise architects, data modelers, systems architects, system owners, data stewards, DBAs, data managers, business and data analysts, data engineers, enterprise data council members, IT managers, compliance officers, privacy/data protection officers, data quality managers and leads, MDM staff and leads, career development/career change learners, and other similar roles.