Data Modeling Fundamentals Course Overview

Data Modeling Fundamentals Course Overview

Immerse yourself in the Data Modeling Fundamentals course, perfect for IT professionals aiming to master practical techniques in data analysis and modeling. Over 8 hours, you'll learn to build Data models using both Classic entity-relationship and Crow’s foot notations. The course covers essential topics such as Entities, Attributes, Relationships, and Hierarchies. By the end, you'll confidently convert conceptual Data models to logical and physical Data models. Engaging hands-on assignments ensure you grasp key principles for real-world application. Mastering these fundamentals will equip you to handle complexities and utilize Data modeling software effectively, enhancing your Data management lifecycle skills.

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575

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Course Fee 575
Total Fees
575 (USD)
  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
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  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

Prerequisites for Data Modeling Fundamentals Course

To ensure you gain the most from the Data Modeling Fundamentals course, it is recommended that you have:


  • Basic Understanding of Database Concepts: Familiarity with fundamental database concepts and terminologies, such as tables, columns, and basic SQL, will be helpful.
  • General IT Knowledge: A general understanding of IT principles and practices will aid in comprehending the broader context of data modeling within the IT lifecycle.
  • Analytical Skills: Basic analytical skills are useful for understanding and creating data models effectively.

These prerequisites are designed to ensure that you can maximize your learning experience and confidently engage with the course content. If you meet these requirements, you will be well-prepared to succeed in this course!


Target Audience for Data Modeling Fundamentals

Introduction: The Data Modelling Fundamentals course equips IT professionals with essential techniques for analyzing and modeling data, crucial for effective data management. Ideal for those involved in data-related roles.


Target Audience and Job Roles:


  • Data Analysts


  • Data Scientists


  • Database Administrators


  • Data Engineers


  • Business Intelligence Analysts


  • Data Architects


  • IT Consultants


  • Systems Analysts


  • Software Developers


  • Business Analysts


  • Project Managers (in data-related projects)


  • Data Governance Professionals


  • IT Managers


  • MIS (Management Information Systems) Professionals


  • Enterprise Architects




Learning Objectives - What you will Learn in this Data Modeling Fundamentals?

Introduction: The Data Modeling Fundamentals course at Koenig Solutions equips IT professionals with essential techniques for analyzing and modelling data. Through hands-on assignments and best practice methodologies, learners will master the transition from conceptual to physical data models.

Learning Objectives and Outcomes:

  • Techniques needed to build data models
  • Creating semantic data models with entities, attributes, relationships, and hierarchies
  • Applying key data modelling design principles using classic entity-relationship and crow’s foot notation
  • Converting conceptual data models to logical and physical data models
  • Understanding the basic concepts and terminology in data modelling
  • Differentiating between transactional and analytical data modelling
  • Navigating various methodologies, techniques, and notations in data modelling
  • Addressing real-world complexities to entities, attributes, and relationships
  • Harmonizing different data modelling levels and understanding relational database normalization
  • Utilizing data modelling software tools effectively for building data models

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