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BCS DA01 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Introduction to Data10%- Initial concepts and terminology
  • 1. Information versus data
    • 2. Data analysis versus data analytics
      - Data modelling and data models
      • 1. Conceptual, logical and physical data models
        • 2. Static and dynamic views of data
          - Structured and unstructured data
          - The data lifecycle
          Topic 2: Modelling Data Using Class Diagrams35%- Classes and objects
          - Aggregation and composition
          - Generalisation
          - Naming conventions
          - Associations and multiplicity
          • 1. One-to-one relationships
            • 2. Multiple roles
              • 3. Many-to-many relationships
                • 4. Resolving many-to-many relationships
                  • 5. One-to-many relationships
                    - Attributes
                    - Class diagrams
                    Topic 3: Analysing Data for Decision-Making25%- Interpreting results
                    - Dataset calculations
                    • 1. NULL values
                      • 2. Median
                        • 3. Probability
                          • 4. Maximum and minimum
                            • 5. Mode
                              • 6. Counting
                                • 7. Totalling
                                  • 8. Mean
                                    - Identifying meaningful relationships
                                    • 1. Time-series analysis and forecasting
                                      • 2. Regression analysis
                                        • 3. Correlation and causation
                                          - Validating and cleansing datasets
                                          • 1. Outliers
                                            • 2. Sampling
                                              • 3. Confirmation bias
                                                • 4. Consistency
                                                  - Sourcing datasets
                                                  • 1. Data lineage
                                                    - Data analytics process
                                                    Topic 4: Defining Data Requirements15%- Domain definitions
                                                    - Metadata
                                                    • 1. Descriptive metadata
                                                      • 2. Statistical metadata
                                                        • 3. Structural metadata
                                                          - Normalisation
                                                          • 1. First normal form
                                                            • 2. Third normal form
                                                              • 3. Third normal form model
                                                                • 4. Un-normalised form
                                                                  • 5. Second normal form
                                                                    - Data quality
                                                                    - Data definitions
                                                                    - Relational data theory
                                                                    • 1. Foreign keys
                                                                      • 2. Compound and concatenated keys
                                                                        • 3. Two-dimensional structures
                                                                          • 4. Primary keys
                                                                            Topic 5: Obtaining and Recording Data10%- CRUD matrix validation
                                                                            - Data navigation paths
                                                                            - Identifying sources of data
                                                                            - Data navigation diagrams
                                                                            Topic 6: Protecting Data5%- Data protection principles
                                                                            - Ethical use of data

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