SFU-003 - Module 5 (Learning Outcomes)

Learning Outcomes

Here are six learning outcomes tailored for the work simulation you’ve just completed. These learning objectives focus on building practical skills in database design, data structuring, and ensuring effective data retrieval, key competencies for roles in data management and analysis.

Data Collection and Structuring Skills

Database Design and Modelling

Understanding Entity Relationships

Data Integrity and Optimisation

Business Case Application

Reflection and Improving

Business Case Application

Develop the skills to align database design with specific business goals, ensuring the structure supports key functions like reporting, customer tracking, and data visualisation for decision-making purposes.

Understanding Entity Relationships

Gain the ability to identify and define one-to-one, one-to-many, and many-to-many relationships between key entities in a dataset, and apply this understanding to create an efficient and scalable database structure.

Database Design and Modelling

Enhance proficiency in designing well-structured database diagrams using diagramming tools, ensuring normalisation and optimal relationships between entities for efficient data management and retrieval.

Data Integrity and Optimisation

Learn to implement data integrity constraints (primary keys, foreign keys) and use normalisation techniques to avoid data redundancy, optimise query performance, and maintain database integrity.

Data Collection and Structuring Skills

Develop the ability to identify and categorise relevant entities in a chosen dataset or business scenario (e-commerce, CRM) and organise these entities into a structured database format.

Reflection and Improvement

Improve the ability to critically reflect on database design decisions, identifying areas of strength and potential improvements to support future data visualisation and business intelligence projects.