BCS DA01 Q&A - in .pdf

  • DA01 pdf
  • Exam Code: DA01
  • Exam Name: BCS Professional Certificate in Data Analysis
  • Updated: Aug 13, 2026
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  • Exam Code: DA01
  • Exam Name: BCS Professional Certificate in Data Analysis
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BCS DA01 Q&A - Testing Engine

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  • Exam Code: DA01
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DA01 exam dumps

BCS DA01 Exam Syllabus Topics:

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