BCS DA01 exam - in .pdf

DA01 pdf
  • Exam Code: DA01
  • Exam Name: BCS Professional Certificate in Data Analysis
  • Updated: Aug 19, 2026
  • Q & A: 0 Questions and Answers
  • PDF Price: $888.00
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  • Exam Code: DA01
  • Exam Name: BCS Professional Certificate in Data Analysis
  • Updated: Aug 19, 2026
  • Q & A: 0 Questions and Answers
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BCS DA01 exam - Testing Engine

DA01 Testing Engine
  • Exam Code: DA01
  • Exam Name: BCS Professional Certificate in Data Analysis
  • Updated: Aug 19, 2026
  • Q & A: 0 Questions and Answers
  • Software Price: $888.00
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BCS DA01 Exam Syllabus Topics:

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

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