CompTIA Data+ (DA0-002)

Objectives in this domain

• Explain data concepts: database types, data structures, file extensions, and data types.
• Identify data sources: databases, APIs, website data, files, logs, and repositories.
• Recognize infrastructure concepts: cloud, on-premises, storage, and containerization.
• Identify data tools: coding environments, BI software, and analysis platforms.
• Understand AI concepts: AI models, natural language processing, and robotic automation. ([comptia.org](https://www.comptia.org/en/certifications/data/v2/))

Objectives in this domain

• Use data acquisition methods to gather and combine data (e.g., integration and queries).
• Perform data exploration to find missing values, duplication, redundancy, and outliers.
• Apply data transformation: cleansing, merging, parsing, and formatting. ([comptia.org](https://www.comptia.org/en/certifications/data/v2/))

Objectives in this domain

• Communicate analysis results using methods appropriate to the audience.
• Select and apply basic statistical techniques to data.
• Troubleshoot analysis issues using tools and resources. ([comptia.org](https://www.comptia.org/en/certifications/data/v2/))

Objectives in this domain

• Create effective visuals such as charts, maps, tables, and other design elements.
• Deliver dashboards or summaries using appropriate methods.
• Validate report accuracy and resolve reporting issues. ([comptia.org](https://www.comptia.org/en/certifications/data/v2/))

Objectives in this domain

• Explain data management practices such as documentation, versioning, and data lineage.
• Summarize compliance requirements including retention, audits, and regulations.
• Compare privacy and protection strategies: access control, encryption, and masking.
• Implement quality assurance via profiling, monitoring, and testing for data quality. ([comptia.org](https://www.comptia.org/en/certifications/data/v2/))