Develop practical skills for understanding, structuring, organising and managing data in modern digital and business environments.
Learn how data can be represented through effective models, managed consistently and prepared for use in databases, software applications, reporting and data-driven technologies.
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Effective data management is essential to modern organisations and technology systems.
This programme develops practical knowledge of how data is analysed, structured, modelled, stored and managed.
Learners explore how data requirements can be identified and represented using appropriate models, while developing an understanding of data quality, relationships, standards, security and governance.
Depending on programme level, learning can include conceptual, logical and physical data models, relational structures, data quality, metadata, data management processes and practical data projects.
This programme can be suitable for:
Computing and IT students
Data and database learners
Software development students
Aspiring data professionals
Learners developing database knowledge
IT professionals
Career changers
Business and technology staff
Employers developing data capability
Education and training providers
Organisations working with structured data
Understand the role of data within modern organisations, systems and applications.
Learn how to identify and analyse the data requirements of a system or organisation.
Explore how information can be organised into appropriate structures.
Develop an understanding of how models represent data, entities, attributes and relationships.
Explore high-level representations of organisational data and its relationships.
Translate requirements into more detailed structures that can support database implementation.
Understand how logical designs can be translated into implementable database structures.
Explore relationships, identifiers, primary keys and foreign keys within data models.
Understand accuracy, consistency, completeness and other factors that contribute to useful data.
Explore processes and practices for storing, maintaining, organising and using data effectively.
Understand the importance of consistent definitions, documentation and data structures.
Explore fundamental principles for protecting data and managing its use responsibly.
Tekelezan focuses on applying data concepts to realistic technology and organisational scenarios.
Learners can work through:
Data requirement analysis
Entity identification
Attribute definition
Relationship modelling
Data modelling exercises
Conceptual and logical models
Database structure planning
Data quality activities
Data classification exercises
Data documentation
Practical datasets
Data management scenarios
Project-based activities
The aim is to help learners understand not only how data is structured, but how effective data management supports real-world systems.
Training can be delivered through:
Classroom-based learning
Online learning
Blended delivery
Practical workshops
Guided modelling exercises
Technical laboratories
Project-based learning
Intensive programmes
Employer-focused training
Bespoke organisational programmes
To be confirmed
Programme duration will depend on the level, delivery model and learning objectives.
Programmes can be designed for different levels of experience.
Introductory programmes may require no previous data modelling experience.
Basic computing, database or data knowledge can be useful.
Previous database, SQL, programming or data experience may be recommended depending on programme level.
Specific entry requirements will be confirmed for each programme.
Learners may require:
A suitable laptop or computer
Internet access
Data modelling or diagramming tools
Database software where applicable
Spreadsheet or data analysis tools where appropriate
Learning materials
Practical datasets and project resources
Specific requirements will depend on the programme.
Data modelling and data management skills can support progression into a range of technology and data-related areas.
Potential progression pathways include:
Database Design & Development
SQL
Data Analysis
Software Development
Python Programming
Business Intelligence
Artificial Intelligence
Machine Learning
Further study in computing and data
A programme completion certificate may be provided where applicable.
Develop data modelling and management skills through practical activities.
Apply concepts to realistic business and technology scenarios.
Understand how effective data models support database design.
Develop an understanding of how organisations can improve the quality and consistency of their data.
Build a foundation for further development in databases, software, data and AI.
Training can be adapted for individuals, employers and partner organisations.
Yes. Introductory programmes can be designed for learners with little or no previous data modelling experience.
Not necessarily. The programme can introduce the fundamental concepts required to understand data modelling.
SQL can be useful but is not necessarily required for introductory data modelling programmes.
Data modelling is the process of representing data, its structures and relationships in a way that supports effective system and database design.
Yes. Practical modelling exercises can form part of the programme.
Yes. Data quality and effective data management can form important parts of the programme.
Database concepts can be included, particularly where the programme focuses on relational data modelling.
A suitable laptop or computer is normally recommended for practical learning.
This programme is not currently specified as an external examination programme. Any external certification arrangements will be confirmed where applicable.
A programme completion certificate may be provided where applicable.
Yes. Tekelezan can discuss employer-focused and bespoke data modelling and management training.
Yes. Tekelezan can discuss specialist technology training and delivery partnerships.
Use the REGISTER YOUR INTEREST button or contact Tekelezan to discuss the programme and current delivery options.
Database Design & Development
Develop practical skills for designing and implementing relational databases.
SQL
Build practical skills for querying and working with relational database data.
Python Programming
Develop programming skills that can support data processing and automation.
Software Development
Build wider software development and application development capability.
Machine Learning
Explore how structured data can support machine learning applications.
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Whether you are developing your database knowledge, working with organisational data, progressing towards software or data roles, or looking for training for your organisation, Tekelezan can help you build practical data capability.
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