CompTIA Data+ (exam code DA0-002) is one of the few entry-level data certifications that explicitly doesn't require you to write code. That single fact puts it in a different lane from Google's Data Analytics Certificate or IBM's data science path — and it explains why hiring managers at government contractors and enterprise IT shops specifically request it. The exam costs $246, takes 90 minutes, and covers five domains: data concepts, data mining, data analysis, visualization, and data governance. What it does not cover: Python, SQL beyond basic querying, or machine learning. If that tradeoff makes sense for your situation, read on.
What CompTIA Data+ Actually Tests
The DA0-002 exam has 90 questions (multiple choice plus some performance-based items) and a passing score of 675 on a 100–900 scale. CompTIA recommends 18–24 months of IT experience before attempting it, though that's a suggestion, not a gate. The five domains break down like this:
- Data Concepts and Environments (15%): Data types, file formats, relational vs. non-relational databases, data lifecycle basics. This is the "know what you're talking about" section.
- Data Mining (25%): Querying techniques, data collection methods, data profiling, and working with structured vs. unstructured data. The heaviest domain by weight.
- Data Analysis (23%): Statistical methods, hypothesis testing, regression analysis, time-series analysis, anomaly detection. Conceptual, not computational.
- Visualization (23%): Chart selection, dashboard design, storytelling with data, reporting tools. Again conceptual — you won't be graded on Tableau clicks.
- Data Governance (14%): Data quality, compliance frameworks, data privacy regulations (GDPR, CCPA), data lineage. This section matters more than people expect for government and healthcare roles.
The performance-based questions — where you manipulate a simulated interface — trip up candidates who only studied flashcards. Budget extra time for those in your prep.
Is CompTIA Data+ Worth It in 2026?
The honest answer depends on your starting point and target role.
CompTIA Data+ is worth it if: you're already in an IT support or sysadmin role and want to move laterally into a data analyst position at the same organization; you're targeting federal government contracts where DoD 8570/8140 compliance matters; or you need a vendor-neutral credential to satisfy a hiring requirement rather than demonstrate technical depth.
CompTIA Data+ is probably not worth it as a standalone credential if you're coming from outside IT entirely. Employers in commercial tech companies generally care more about demonstrated SQL and Python skills than this cert. A Coursera Google Data Analytics certificate plus a portfolio of three real projects will outperform Data+ on most commercial job boards. The cert adds the most value on top of existing IT experience, not as a first-step into tech.
Salary data from CompTIA's own State of the Tech Workforce 2024 report puts entry-level data analyst roles between $55,000–$75,000 in the US, with the certification correlating to roughly $5,000–$8,000 premium over uncertified candidates in the same role tier. That math works out if you're already employed and the cert costs you $246 plus study time.
How CompTIA Data+ Compares to Other Entry-Level Options
There are four credentials people typically consider alongside Data+:
- Google Data Analytics Certificate (Coursera, ~$200): Heavier on SQL and Tableau hands-on. Better recognized by non-IT employers. Weaker on governance and compliance content.
- IBM Data Analyst Professional Certificate (Coursera, ~$200): Python-forward. Better for candidates who want to move toward ML. No proctored exam.
- Microsoft PL-300 (Power BI Data Analyst): Vendor-specific but highly demanded. If your target org runs Microsoft stack, PL-300 edges out Data+.
- Certified Analytics Professional (CAP): Senior-level, requires a degree plus experience. Not comparable as an entry credential.
CompTIA Data+ occupies the "vendor-neutral, governance-heavy, DoD-aligned" niche. It's not trying to compete with Google's cert on commercial appeal — it's competing on institutional credibility. Know which environment you're targeting before you choose.
Top Courses for CompTIA and Data Certification Prep
The courses below are some of the highest-rated CompTIA exam prep resources available. While several focus on Security+ and other CompTIA tracks, they demonstrate the quality of instruction available in the CompTIA ecosystem — useful context if you're building out your certification path beyond Data+.
CompTIA Security+ (SY0-701) Exam Prep 2026 - For Beginners
Rated 9.5 on Udemy. Many Data+ candidates pursue Security+ next as part of a broader CompTIA pathway — this course is consistently flagged by instructors as having the clearest coverage of exam-style question structure, which transfers directly to how you should study DA0-002.
CompTIA Security+ (SY0-701) 1,000+ Practice Questions 2026
Rated 9.5. Drilling practice questions is the single highest-ROI study method for any CompTIA exam — the question formats and distractors follow predictable patterns. This library shows you how CompTIA constructs "best answer" traps before you hit them on exam day.
CompTIA A+ Core 1 (220-1201) 6 Practice Tests [2026]
Rated 9.4. If you're building toward a full CompTIA stack (A+ → Data+ → Security+), this is the foundation. The practice-test format here mirrors exactly what CompTIA's exam engine feels like — timed, adaptive, with the same UX you'll face in a proctored environment.
CompTIA SecurityX (CAS-005) 6 Practice Exams
Rated 9.0. Advanced-level CompTIA practice — worth bookmarking for the future. SecurityX is the natural ceiling cert for IT professionals who start with Data+ and want to move into security architecture over time.
What Jobs Does CompTIA Data+ Actually Lead To?
The job titles most associated with Data+ in job postings (per CompTIA's own role mapping and LinkedIn search patterns):
- Data Analyst I / Junior Data Analyst: The primary target role. Expect $52,000–$72,000 depending on location and industry vertical.
- Reporting Analyst: Business intelligence-adjacent. Often found in healthcare, insurance, and government. Data+ governance content aligns well here.
- Data Technician: More operational — data pipelines, quality checks, ingestion. Less strategy, more execution. Often a stepping stone role.
- IT Business Analyst: Hybrid role in enterprise IT. Data+ plus some project management experience (or a PMP) opens this path.
- Database Administrator (junior): CompTIA maps this as a Data+ role, though in practice, DBA postings usually want SQL Server or Oracle experience first.
Federal contractors and defense sector employers are the strongest market for Data+ specifically. Job postings at Booz Allen, SAIC, Leidos, and similar firms often list it as a qualifying credential for data roles that require clearance eligibility.
FAQ
How hard is the CompTIA Data+ exam?
The pass rate isn't officially published, but community data from Reddit's r/CompTIA and TechExams.net suggests a first-attempt pass rate around 60–70% for candidates who studied 4–8 weeks using dedicated materials. The data analysis and statistics domain is where people most often get caught — particularly candidates from purely IT support backgrounds who haven't touched statistics since school. Don't skip the statistical methods section.
Do I need to know SQL or Python for CompTIA Data+?
SQL appears at the conceptual level — you need to understand SELECT queries, JOIN logic, and the difference between relational and non-relational storage. You are not writing code on the exam. Python is not tested. This is one of the defining characteristics of Data+ versus other data certifications and is either the right fit or the wrong fit depending on your career goals.
How long does it take to prepare for CompTIA Data+?
Most successful candidates report 4–8 weeks of study at 1–2 hours per day. If you already have IT experience (especially in a data-adjacent role), lean toward 4 weeks. If data concepts are new to you, budget 8 weeks and prioritize the data analysis domain, which has the steepest learning curve for non-technical candidates.
Is CompTIA Data+ recognized by employers?
Recognized, yes. Sought-after, it depends on the sector. CompTIA certifications have strong brand recognition in IT departments, managed service providers, and government contracting. In pure analytics, data science, or tech product companies, hiring managers often care more about demonstrated skills (portfolio, GitHub, take-home assessments) than vendor-neutral certs. The cert signals "studied the fundamentals seriously" — it doesn't substitute for project experience.
Does CompTIA Data+ expire?
Yes. The certification is valid for three years from your exam date. Renewal requires earning 60 Continuing Education Units (CEUs) within that window, either by taking higher-level CompTIA exams, completing approved courses, or attending CompTIA events. You don't re-sit the exam to renew.
What's the difference between CompTIA Data+ and DataSys+?
CompTIA DataSys+ (DS0-001) is a separate certification focused on database administration — SQL management, database maintenance, physical storage, and backup/recovery. Data+ (DA0-002) focuses on analytics and reporting. They target different job roles: DataSys+ is for DBAs, Data+ is for analysts. There's some domain overlap in data concepts and governance, but they're not the same credential and don't substitute for each other.
Bottom Line
CompTIA Data+ is a defensible credential for a specific type of candidate: someone already inside an IT organization who wants a structured, exam-backed way to transition into data work, particularly in sectors where vendor-neutral certifications carry institutional weight. At $246 and 4–8 weeks of study time, the risk is low if you're in that category.
If you're starting from outside IT, or you're targeting commercial tech companies, put that $246 toward a Coursera subscription and build a SQL portfolio first. The cert will mean more once you have something to hang it on. If you're planning to pursue Security+ or the broader CompTIA certification stack anyway, adding Data+ makes the pathway coherent — the exam mechanics and study approach transfer directly.
Check the full certifications guide if you're still deciding between credential tracks, or browse data analyst courses to find hands-on prep that pairs with exam study.