DA01 Exam Dumps
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| Certification Provider: | BCS |
|---|---|
| Exam Code / Number: | DA01 |
| Exam Name: | BCS Professional Certificate in Data Analysis |
| Exam Questions: | 0 |
| Corresponding Certification: | BCS Other Certification |
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The BCS DA01 exam covers a wide range of topics such as data collection, cleaning and preparation, data visualization, statistical analysis, and predictive modeling. DA01 exam is designed to test the candidate's understanding of the principles and techniques used in data analysis, and their ability to apply them in real-world scenarios. DA01 exam is conducted online and consists of 40 multiple-choice questions, with a time limit of 60 minutes.
BCS DA01 Certification Exam is ideal for individuals who want to enhance their skills in data analysis and take their career to the next level. BCS Professional Certificate in Data Analysis certification is suitable for data analysts, data scientists, business analysts, and anyone who works with data. BCS Professional Certificate in Data Analysis certification is also suitable for individuals who are new to data analysis and want to learn the fundamentals of the field.
BCS DA01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Protecting Data | 5% | - Data protection principles - Ethics and data handling |
| Topic 2: Defining Data Requirements | 15% | - Data quality aspects - Data normalisation (1NF, 2NF, 3NF) - Metadata and domain definitions |
| Topic 3: Modelling Data using Class Diagrams | 35% | - Associations, multiplicity, aggregation/composition - Interpreting class diagrams - Class concepts and notation |
| Topic 4: Introduction to Data | 10% | - Structured vs unstructured data - Data lifecycle stages - Terms and concepts (data, information, business intelligence) |
| Topic 5: Analysing Data for Decision-Making | 25% | - Data validation and cleansing - Dataset calculations and interpretation - Data analytics concepts (context, source, lineage) |
| Topic 6: Obtaining and Recording Data | 10% | - Validating data models (CRUD matrix) - Data navigation paths - Data sources (surveys, records, sampling) |