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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Protecting Data | 5% | - Data protection principles - Ethical use of data |
| Topic 2: Analysing Data for Decision-Making | 25% | - Sourcing datasets
- Validating and cleansing datasets
- Identifying meaningful relationships
|
| Topic 3: Defining Data Requirements | 15% | - Data definitions - Data quality - Domain definitions - Normalisation
|
| Topic 4: Obtaining and Recording Data | 10% | - Data navigation diagrams - CRUD matrix validation - Identifying sources of data - Data navigation paths |
| Topic 5: Introduction to Data | 10% | - The data lifecycle - Data modelling and data models
|
| Topic 6: Modelling Data Using Class Diagrams | 35% | - Class diagrams - Attributes - Generalisation - Naming conventions - Associations and multiplicity
- Aggregation and composition |
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