CompTIA Data+: Data Analysis
The provider lists this domain at 24% of the exam.
In plain English
The largest domain: choosing a suitable statistical method, applying it correctly, explaining the answer to the people who need it, and fixing problems when numbers do not add up.
What the provider lists under it
- Communicating analysis results to different audiences
- Selecting basic statistical methods
- Troubleshooting analysis issues
Terms worth knowing
- Overfitting: When a model learns its training data too closely and does badly on new data.
- Supervised vs unsupervised learning: Supervised learning trains on labelled examples. Unsupervised learning looks for structure in unlabelled data.
Quick answers
How much of the CompTIA Data+ exam is Data Analysis?
The provider lists it at 24% of the exam, according to the CompTIA Data+ certification page (DA0-002).
What topics are in Data Analysis?
Communicating analysis results to different audiences; Selecting basic statistical methods; Troubleshooting analysis issues.
The other CompTIA Data+ domains
- Data Concepts and Environments (20% of the exam)
- Data Acquisition and Preparation (22% of the exam)
- Visualization and Reporting (20% of the exam)
- Data Governance (14% of the exam)
Test yourself
Full-length CompTIA Data+ practice tests with an explanation for every answer option.
Browse the CompTIA Data+ practice testsAll domainsDomain names, weights and topic lists come from the CompTIA Data+ certification page (DA0-002), checked 2 November 2026. Providers change their outlines, so confirm the current version before you book. The plain-English explanations are ours, not the provider’s. Not affiliated with, endorsed by or sponsored by any certification vendor or exam body. Certification names, exam codes and product names are trademarks of their respective owners and are used only to identify the exam a practice product prepares for. Our questions are original and are not actual exam questions.