The Complete Guide to Data Management DMBOK2 Revised CDMP
Requirements
- Basic understanding of business operations or IT systems is helpful, but not essential
- Interest in data governance, data quality, or enterprise data strategy will enhance your learning experience
- No prior certification or data management experience is required — this course is beginner-friendly and starts from the ground up
Description
This course is currently offered for free while it’s under development!
I'm actively building out the full content, and I’d love your feedback along the way. Your input will help shape the final version of the course and ensure it delivers maximum value. If you find something helpful—or if something’s missing—please leave a comment or review. Thank you for being part of the journey!
The Complete Guide to Data Management Using the DAMA-DMBOK2 (Revised Edition)
Are you ready to become a true data management professional? Whether you're preparing for the Certified Data Management Professional (CDMP) exam or aiming to build practical, job-ready skills in data governance, quality, architecture, and more—this is the course for you.
This comprehensive course is a chapter-by-chapter walkthrough of the DAMA-DMBOK2 Revised Edition, the globally recognized standard for data management. You’ll gain a deep understanding of the 11 Knowledge Areas (including Data Governance, Metadata, Data Quality, and more), as well as supporting topics like data ethics, big data, and organizational change.
Designed by an experienced instructor with decades of industry expertise, this course doesn’t just teach theory—it bridges the gap between certification content and real-world data management practice.
What you’ll learn:
The complete DAMA-DMBOK2 framework, explained clearly and in depth
How to prepare for and pass the CDMP exam with confidence
How to apply data management principles to real-life business scenarios
Best practices in data governance, architecture, quality, security, and more
How to build and support enterprise data strategies aligned with business goals
Who this course is for:
- Aspiring Certified Data Management Professionals (CDMP) preparing for the DAMA certification exam
- Data analysts, data stewards, and business analysts looking to deepen their knowledge of enterprise data management
- Managers and team leads responsible for data governance, data quality, or digital transformation initiatives
- Anyone working with data who wants to understand the best practices, standards, and roles involved in managing data as a valuable business asset
Instructor
- 4.7 Instructor Rating
- 5 Reviews
- 701 Students
- 1 Course
Kelvin Tsang is a seasoned data and AI leader with over 20 years of experience transforming data into strategic assets across global financial institutions. Holding prestigious certifications including PMP, CFA, CDMP, and an MBA in Finance, Kelvin combines technical depth with business acumen to help organizations unlock the value of their data.
As the current Manager of Data Quality and Stewardship at a leading Canadian investment management firm, Kelvin leads enterprise-wide initiatives involving data governance, metadata management, and AI-powered data quality solutions. Previously, he served as Vice President in JPMorgan’s Chief Data Office, where he spearheaded APAC-wide data strategy and modernization efforts.
Kelvin is a Certified Data Management Professional (CDMP) and a contributing advocate for data literacy. He has mentored professionals, led international workshops, and even created internal video series on data management best practices for JPMorgan’s global teams. A graduate of MIT’s course on Designing and Building AI Products, Kelvin is passionate about applying innovation to real-world data challenges.
In this course, he distills insights from the DAMA-DMBOK2 framework into practical lessons, sharing field-tested strategies that professionals can apply immediately—whether you’re building a data governance program, designing data quality metrics, or launching your career in data management.