CompTIA Data+
Foundation Level
Master data analytics and empower data-driven decisions in 2026.
CompTIA Data+ (DA0-001) validates the practical skills required to collect, prepare, analyze, interpret, and present data that supports business decisions. The vendor-neutral certification covers data environments, data acquisition, statistical analysis, visualization, reporting, governance, quality, and emerging technologies.
Designed for data analysts, business intelligence analysts, reporting analysts, operations analysts, and other data-focused professionals, Data+ demonstrates the ability to convert raw information into clear and actionable insights.
Are you ready to prove that you can turn data into measurable business value?
What will you learn from CompTIA Data+:
Your gateway to data mastery and analytics excellence. This 5-day hands-on training program prepares participants for the CompTIA Data+ Certification exam (DA0-001).
CompTIA Data+ is a vendor-neutral, ISO-accredited certification designed for early-career data analysts. It proves you have hands-on skills in collecting, preparing, analyzing, visualizing, and managing data—helping you support business decision-making.
This top data analytics credential is recognized by employers, aligns with real-world data analyst job requirements, and is mapped to the NICE Framework Data Analyst role (IO-WRL-001). Data+ can help you stand out for entry-level positions and launch your data analytics career.
Level up in 2026:
- CompTIA Training and Certifications page
- Guide to Top CompTIA certifications in 2026 blog post
CompTIA Data+
Exam Code:
DA0-002
Exam Description:
The CompTIA Data+ exam will certify the successful candidate has the knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle.
Exam Duration:
90 minutes
Exam Format:
Maximum of 90 questions; multiple choice and performance-based
Language Offered:
English, Japanese, Thai
Recommended Experience:
CompTIA recommends 18–24 months of experience in a report/business analyst job role, exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience
Launch Date:
October 14th, 2025
Retirement:
Usually three years after launch
Passing Score:
675 (on scale of 100–900)
Testing Provider:
Pearson VUE testing center or online proctored exam
What are the key skills measured:
Data Concepts and Environments:
- 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-premise, storage, and containerization.
- Identify data tools: Coding environments, BI software, and analysis platforms.
- Understand AI concepts: Identify AI models, natural language processing, and robotic automation.
Data Governance:
- Explain data management practices: Documentation, versioning, and data lineage.
- Summarize compliance requirements: Retention, audits, and regulations.
- Compare privacy and protection strategies: Access control, encryption, and masking.
- Implement quality assurance: Profiling, monitoring, and testing for data quality.
Data acquisition and preparation:
- Use data acquisition methods: Data integration and queries to gather and combine data.
- Perform data exploration: Find missing values, duplication, redundancy, or outliers.
- Apply data transformation: Cleansing, merging, parsing, and formatting data.
Visualization and Reporting:
- Create effective visuals: Use charts, maps, tables, and design elements.
- Deliver reports: Provide dashboards or summaries using appropriate methods.
- Validate reporting accuracy: Apply validation and review to solve reporting issues
Data Analysis:
- Communicate analysis results: Select methods for different audiences.
- Select statistical methods: Apply basic statistical techniques to data.
- Troubleshoot analysis issues: Use tools and resources to resolve problems.
Who is this for?
- AI Engineer
- Sales/Marketing Professionals
- Business Analysts
- Line-of-business/IT Managers
Turn raw data into powerful insights with CompTIA Data+ and stay ahead in the digital economy!
Over the past 12 months, employers have listed over 1 million job postings seeking candidates with skills in data analysis, data mining, or data visualization.
The New CompTIA Data+: Your Questions Answered
The New CompTIA Data+: Your Questions Answered
Exploring Data Career Pathways With CompTIA Certifications
Master the Full Data Lifecycle:
CompTIA Data+ covers data mining, manipulation, visualization, and governance, ensuring you can handle real-world data challenges. You’ll learn to collect, clean, and interpret data to generate meaningful business insights, making you a valuable asset in any data-driven organization.
Industry-Recognized:
Gain skills across multiple industries and platforms. Whether you’re working with SQL databases, Excel, or Python-based analytics, this certification proves your ability to analyze and interpret data effectively.
The Perfect Certification for Aspiring Data Analysts:
CompTIA Data+ provides a structured learning path to help entry-level professionals transition into data analyst, reporting analyst, and business intelligence roles. It validates essential skills like data visualization, statistical analysis, and governance, making it an ideal first step for anyone pursuing a career in analytics.
Cost-Effective Alternative to Expensive Data Certifications:
Many advanced data analytics certifications require years of experience and costly training programs. CompTIA Data+ offers an affordable, globally recognized alternative that prepares you for high-demand data analytics roles without requiring prior coding experience.
Why choose Trainocate?
Trainocate is a trusted CompTIA authorized training provider with a proven track record of delivering high-quality, industry-recognized IT and data analytics training. Our certified instructors offer hands-on, practical learning experiences, ensuring you gain the skills and confidence needed to pass the CompTIA Data+ exam and excel in real-world data analytics roles.
With flexible learning options, post-training support, and a high exam success rate, Trainocate is your ideal partner for upskilling and career growth in data analytics
Ready to build career-ready data analytics skills?
Ready to start building AI solutions on Microsoft Azure?
Frequently Asked Questions (FAQs)
1. Why Are Data and Analytics Skills Important?
Data-related jobs are among the fastest-growing fields, with roles like data scientists expected to grow 5x faster than other occupations. Over 1 million job postings in the past year required skills in data analysis, mining, or visualization. CompTIA Data+ helps develop these in-demand skills.
2. What is the Role of Data Analytics?
Data analytics transforms raw data into valuable insights. The process includes:
✔ Collection & Storage: Gathering data from transactions, social media, and sensors.
✔ Processing & Organization: Cleaning, structuring, and securing data.
✔ Analysis & Visualization: Using reports, dashboards, and predictive analytics to drive decisions.
3. Why Is Data Analytics Important?
Companies collect vast amounts of data, but without proper management and analysis, its value is lost. Data analytics enhances business decisions, eliminates silos, and integrates data from multiple sources for a holistic view of operations.
4. Is CompTIA Data+ worth my time and money?
Yes. CompTIA Data+ provides immediate career value and excellent ROI for data professionals. CompTIA Data+ holders earn an average salary of US $154,719, making it one of the top-paying certifications in the 2025 market. Strong choice for IT pros and analysts seeking higher pay and career mobility in data roles.
5. Who should take the CompTIA Data+ certification?
CompTIA Data+ is designed for professionals in business, IT, and operations who need to collect, analyze, and interpret data to make informed decisions. It’s especially suitable for early-career professionals in roles like business analyst, marketing analyst, financial operations, and IT support where data handling is frequent. This certification is also ideal for cross-functional employees transitioning into data roles without a formal analytics background. CompTIA states Data+ is intended for “professionals tasked with developing and promoting data-driven business decision-making,” making it suitable even for those transitioning from non-technical backgrounds.
If you’re handling spreadsheets, dashboards, or reports—even in HR, sales, or ops—Data+ helps you build real-world data fluency and become indispensable to your organization.
6. Is CompTIA Data+ suitable for learners new to Data Analytics?
Yes. CompTIA Data+ offers an accessible, vendor-neutral foundation in data analytics, with no need for coding or advanced mathematics. The certification exam covers core concepts such as data mining, visualisation, governance, and basic statistics in a way that’s friendly to beginners.
US Bureau of Labor Statistics projects a 23% increasein demand for data-related roles between 2023 and 2033, greatly outpacing the 4% average across all occupations.
✅ The certification helps you align with industry demand and begin a career in data analytics at entry-level.
