UNDT0: Understanding Data Learning Plan
Turning raw data into reliable, actionable insights is a critical challenge for organizations today. The Understanding Data Learning Plan, instructed by Michel Hebert, provides professionals with the knowledge and practical skills to meet this challenge. Empowering organizations and individuals to transform raw information into trusted, actionable insights, the program offers learners a clear understanding of how to define, structure, govern, and leverage data.

Program Overview
In today’s fast-paced, data-driven environment, organizations often struggle with fragmented, inconsistent, or poorly understood data. These challenges can limit strategic insight, reduce operational efficiency, and create risk in decision-making. The Understanding Data Learning Plan, instructed by Michel Hebert, addresses this critical issue by providing a comprehensive framework for understanding how data works, how it is managed, and how it generates value across the enterprise.
This learning plan builds fluency in the essential language, tools, and principles of data management. Learners explore how data is organized, traced, and classified, gaining practical skills in metadata, data modeling, and master and reference data management. Through real-world frameworks and examples, the plan emphasizes how clear definitions, structured models, and reliable master data improve communication between business and technical teams while supporting effective governance and operational consistency.
Beyond theory, the curriculum equips professionals to make data an actionable, high-value asset. It provides strategies to enhance data quality, establish authoritative sources, and create governance practices that drive trust, transparency, and alignment across organizations. By the end of the plan, learners are prepared to apply these skills to support smarter decisions, strengthen collaboration, and unlock the full potential of data in achieving organizational goals.
Program Highlights
This 4-course learning plan and accompanying intro course offers:
- Over six hours of expert-led video instruction
- Four total courses (including the elective course) covering data management, governance, metadata, data quality, master data, data security, and communication
- Knowledge checks after each module and a final exam
- Real-world examples and applied frameworks that connect theory to practice
Pricing and Credits
- Learning Plan Price: $329
- Individual Course Price: $99
- CEUs: 9.5 hours
How It Works
This learning plan includes four on-demand, self-paced courses that can be taken individually or as a complete certification pathway. Each course includes:
- 65- to 123 -minute instructional video
- Section-level Check-for-Understanding quizzes
- A 17- to 28-question content-based practice test per course
- Downloadable presentation slides and study materials
- Unlimited access and progress tracking
Courses in the Learning Plan
- Overview of Data
- Metadata Management
- Data Modeling
- Master and Reference Data
By the End of the Understanding Data Learning Plan, You’ll Be Able To:
- Explain foundational data concepts and articulate its role as a strategic asset
- Document, classify, and trace data using metadata best practices
- Create, read, and interpret business information and relational data models
- Understand and apply principles for managing master and reference data
- Recognize how data management practices enhance organizational value, governance, and decision-making
Why the Understanding Data Learning Plan?
Benefits:
- Gain clarity on how data is structured, defined, and managed across its lifecycle
- Build practical skills in metadata, data modeling, and master and reference data management
- Enhance the ability to communicate and collaborate between business and technical teams
- Learn frameworks and best practices that support data quality, governance, and interoperability
- Strengthen organizational capability to generate value from data
Is This Learning Plan Right for You or Your Team?
This program is ideal for:
- Business professionals, analysts, and managers who work with data in any capacity
- Data stewards, architects, and governance leaders responsible for reliable information
- Project managers and decision-makers collaborating with technical teams
- Professionals seeking to strengthen their organization’s data literacy and management practices
This learning plan is designed for professionals developing end-to-end data management capabilities. Build the skills and confidence needed to understand, organize, govern, and leverage data effectively across an organization.
Private Team Training
Bring your team up to speed when you take advantage of our private in-person or virtual courses tailored to your organization’s needs. DATAVERSITY offers custom team training and bulk licensing options to ensure consistency and scalability in your data management initiatives.
We offer several bulk licensing options for corporate and group use.
Contact us for a follow-up discussion!
Email: [email protected]
Backed by Industry Leader
Developed and delivered by DATAVERSITY®, a globally respected leader in data governance education, known for delivering trusted training, influential conferences, and deep industry insights.
Complete All 4 Understanding Data Learning Plan Courses
1. UNDT1: Overview of Data
required
Data is everywhere, but understanding it as an asset requires more than tools and dashboards. This course, taught by Michel Hebert, introduces the foundations of data, its organization and lifecycle, how its managed, and its role in driving informed decision-making and organizational value.
View Details2. UNDT2: Metadata Management
required
Behind every trusted report, dashboard, and decision lies well-managed metadata. This course, instructed by Michel Hebert, examines how metadata defines, connects, and brings meaning to data through business glossaries, data lineage, and classification practices. Learners gain a clear foundation for using metadata to support effective and reliable data management.
View Details3. UNDT3: Data Modeling
required
Data modeling turns complex information into clear, structured representations that communicate business needs and support effective data management. This course, instructed by Michel Hebert, explores relational, dimensional, and alternative modeling approaches. Learners gain practical skills to create, read, and interpret business information models.
View Details4. UNDT4: Master and Reference Data
required