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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
Manipulating data
Visualizing and reporting data
Applying basic statistical methods
Mining data
Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
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CompTIA DA0-001日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Concepts and Environments | 15% | - Compare and contrast common data structures and file formats - Identify basic concepts of data schemas and dimensions - Compare and contrast different data types |
| Data Mining | 25% | - Explain common techniques for data manipulation and optimization - Identify common reasons for cleansing and profiling datasets - Explain data acquisition concepts - Given a scenario, execute techniques for data manipulation |
| 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 Analysis | 23% | - Summarize types of analysis and key analysis techniques - Explain the purpose of inferential statistical methods - Given a scenario, apply the appropriate descriptive statistical methods |
| Visualization | 23% | - 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 - Given a scenario, apply the appropriate type of visualization - Compare and contrast types of reports |
