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