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| Section | Weight | Objectives |
|---|---|---|
| Analysing Data for Decision-Making | 25% | - Data validation, outliers, bias, consistency - Data visualisation and reporting - Analysis techniques and interpretation |
| Introduction to Data | 10% | - Context and purpose of data analysis - Definitions: data, data analysis, model, information, business intelligence |
| Data Modelling Concepts | 20% | - Entity relationship modelling - Class diagrams, attributes, relationships, generalisation - Data normalisation: 1NF, 2NF, 3NF, keys |
| Data Protection and Ethics | 10% | - Ethics in data usage - Legal and regulatory requirements - Data security and privacy principles |
| Obtaining and Recording Data | 10% | - CRUD matrix validation - Data navigation paths - Data sources and sampling methods |
| Defining Data Requirements | 15% | - Metadata and domain definitions - Data rationalisation - Data quality characteristics |
| Validation and Verification | 10% | - Review and verification processes - Model validation techniques |
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