Learn data governance frameworks (DAMA, DCAM, Data Mesh), implementation strategies, roles, and organizational models
As you know, Data governance is one of the most in-demand skills in business today, and for good reason. Organizations are sitting on massive amounts of data, but without the right frameworks to manage, protect, and leverage it, that data becomes a liability rather than an asset.
What you’ll learn
- Understand data governance fundamentals including DAMA, DCAM, and Data Mesh frameworks, and evaluate which model best fits your organization’s needs..
- Implement a complete data governance program from strategy definition to execution, including policies, procedures, and operational frameworks..
- Define governance structures with clear roles and responsibilities including CDO, Data Owners, Data Stewards, and establish effective committees..
- Choose and implement appropriate operating models (centralized, decentralized, or federated) and select the right governance tools for your company..
- Develop a corporate data strategy with comprehensive roadmaps combining short, medium, and long-term actions aligned with business objectives..
- Build a strong data culture across your organization by establishing policies, standards, and processes that ensure data quality and consistency..
- Evaluate and select data governance tools like Collibra, Talend, Informatica, and Alation based on your specific organizational requirements..
- Solve common data governance challenges including data silos, quality issues, lack of ownership, and resistance to change in your organization..
Course Content
- Fundamentals of Data Governance –> 7 lectures • 20min.
- Standards, Frameworks and Modern Perspectives –> 5 lectures • 16min.
- Corporate Data Strategy –> 8 lectures • 18min.
- The Data Governance Operating Model –> 9 lectures • 21min.
- Governance Bodies, Structure and Roles –> 7 lectures • 25min.
- Implementing a Data Governance Model –> 9 lectures • 17min.
- Data Governance Tools –> 4 lectures • 11min.
- Full Practical Cases –> 4 lectures • 18min.
- Self-Assessment Questions –> 2 lectures • 7min.
Requirements
As you know, Data governance is one of the most in-demand skills in business today, and for good reason. Organizations are sitting on massive amounts of data, but without the right frameworks to manage, protect, and leverage it, that data becomes a liability rather than an asset.
This course gives you a complete foundation in data governance, whether you’re just getting started or looking to formalize knowledge you’ve picked up along the way.
You’ll master industry-standard frameworks like DAMA and DCAM while exploring newer approaches like Data Mesh. More importantly, you’ll understand why organizations choose different structures and when each one makes sense.
The course goes beyond theory. You’ll learn how corporate data strategies actually get built, how governance committees function day to day, and what roles like Chief Data Officer, Data Owner, and Data Steward really involve. We’ll compare centralized, decentralized, and federated governance models so you can recommend the right approach for any organization.
On the practical side, you’ll get familiar with leading tools in the market, including Collibra, Talend, Informatica, and Alation. Real-world case studies show how companies tackle data quality problems, roll out governance frameworks, and build cultures that actually use data to make decisions.
This course works for students preparing to enter the field, professionals moving into governance roles, and experienced practitioners who want structured, formal knowledge.
No programming background needed. Just a willingness to learn.