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Understanding CompTIA DA0-001 Exam Topics
Mining data
Visualizing and reporting data
Manipulating data
Applying basic statistical methods
Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
Reference: https://www.comptia.org/training/books/data-da0-001-study-guide
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CompTIA DA0-001 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Governance, Quality, and Controls | 14% | - Summarize important data governance concepts - Compare and contrast types of data controls - Explain key aspects of data quality |
| Data Concepts and Environments | 15% | - Compare and contrast different data types - Identify basic concepts of data schemas and dimensions - Compare and contrast common data structures and file formats |
| Data Mining | 25% | - Identify common reasons for cleansing and profiling datasets - Explain data acquisition concepts - Given a scenario, execute techniques for data manipulation - Explain common techniques for data manipulation and optimization |
| Data Analysis | 23% | - Summarize types of analysis and key analysis techniques - Given a scenario, apply the appropriate descriptive statistical methods - Explain the purpose of inferential statistical methods |
| Visualization | 23% | - Given a scenario, apply the appropriate type of visualization - Compare and contrast types of reports - Given a scenario, translate business requirements to support data-driven decisions - Given a scenario, use appropriate methods for dashboard development - Explain important aspects of a report that tell a data story |







