UNDT3: Data Modeling

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.

Data models are more than diagramsthey are essential tools that bridge business needs and technical implementation, helping teams clarify complex information and make informed decisions. Structured representations, from business information models to relational and alternative paradigms such as dimensional, object-oriented, and graph-based approaches, make data understandable and actionable. This course, instructed by Michel Hebert, explores how these models support decision-making, improve collaboration, and reduce ambiguity through practical examples and exercises. 

Providing hands-on guidance in creating and interpreting business information models, the course helps learners translate these models into logical and physical structures while applying principles such as normalization and keys. Exploring schema-less databases, NoSQL approaches, and unified modeling frameworks, participants gain the skills to select the most appropriate modeling approach for different business contexts and communicate data effectively across teams. 

Course Highlights 

  • Understanding of data models as tools for communication and decision-making 
  • Application of skills to build and interpret business information and relational models 
  • Overview of alternative modeling approaches: dimensional, NoSQL, graph, UML 
  • Practice in normalization, keys, and logical-to-physical translation 

Pricing and Credits 

  • Individual Course Price: $99 
  • Learning Plan Price:  $329 
  • Course CEUs: 3.0 hours 

By the End of This Course, You’ll Be Able To: 

  • Explain the purpose and value of data modeling 
  • Create and read clear business information models 
  • Apply relational modeling principles and normalization 
  • Recognize alternative modeling methods for different data needs 
  • Understand how data models support effective data management and collaboration 

Why Take This Course? 

This course provides practical skills to represent and communicate complex data clearly. Learners gain the ability to model information that improves understanding, governance, and collaboration across the organization. 

Is This Course Right for You or Your Team? 

This course is ideal for:  

  • Business professionals working with or managing data 
  • Analysts and data stewards seeking modeling skills 
  • Project managers collaborating with technical teams 
  • Anyone needing to communicate complex data clearly 

No technical experience is required. This course is designed for business-focused professionals looking to build core competency in representing, interpreting, and communicating data through practical modeling techniques. 

This Course Includes: 

  • A 123-minute educational training video  
  • A 28-question content-based practice exam  
  • “Check for Understanding” quizzes after each section  
  • Downloadable presentation slides  
  • Self-paced, on-demand access with progress tracking  
  • Unlimited course access  
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