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Last Updated: Aug 16, 2026
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Reference: https://www.comptia.org/training/books/data-da0-001-study-guide
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The techniques report sample for free control structures descriptive hoc translate cleansing schemas common acquisition profiling requirements with the real pdf analytics design scenario.
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Mining data
Applying basic statistical methods
Visualizing and reporting data
Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
Manipulating data
| Section | Weight | Objectives |
|---|---|---|
| Data Mining | 25% | - Explain data acquisition concepts - Explain common techniques for data manipulation and optimization - Given a scenario, execute techniques for data manipulation - Identify common reasons for cleansing and profiling datasets |
| Visualization | 23% | - Compare and contrast types of reports - Given a scenario, apply the appropriate type of visualization - 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 Governance, Quality, and Controls | 14% | - Compare and contrast types of data controls - Summarize important data governance concepts - Explain key aspects of data quality |
| Data Concepts and Environments | 15% | - Compare and contrast common data structures and file formats - Compare and contrast different data types - Identify basic concepts of data schemas and dimensions |
| Data Analysis | 23% | - Explain the purpose of inferential statistical methods - Summarize types of analysis and key analysis techniques - Given a scenario, apply the appropriate descriptive statistical methods |
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