📊 CompTIA DataAI (formerly DataX)

Exam Code: DY0-001
ISBN: 978-1-64274-540-5

CompTIA DataAI is the premier, vendor-neutral certification for highly experienced professionals seeking to validate expert-level competency in data science.

Formerly known as DataX, DataAI reflects the certification’s expanded focus on advanced analytics, machine learning, and AI-driven data interpretation. The rebrand does not affect existing DataX holders — active certifications remain fully valid under the new name.

DataAI equips you to confidently work with complex datasets, implement data-driven solutions, and translate analytical insights into measurable business impact.

🧪 DataAI CertMaster Labs (V1)

Exam Code: DY0-001
ISBN: 978-1-64274-605-1

DataAI CertMaster Labs provides a browser-based, hands-on lab environment designed to help you apply your knowledge, build confidence, and strengthen practical data science skills aligned with the CompTIA DataAI certification.

Work directly in real-world technical environments and see the immediate impact of your actions as you complete structured lab exercises.

Why DataAI Matters

CompTIA DataAI validates expert-level data science skills independent of specific vendor platforms.

It demonstrates capability in:
• Data mining and transformation
• Statistical analysis and modeling
• Machine learning implementation
• Data visualization and reporting
• AI-driven analytics

The certification is ISO/ANSI National Accreditation Board (ANAB) accredited, ensuring compliance with global certification standards and strengthening credibility across industries.

Who Should Earn DataAI

DataAI is designed for experienced professionals, including:

• Data Analysts
• Data Scientists
• Business Intelligence Professionals
• Machine Learning Engineers
• IT Managers overseeing analytics teams

It is ideal for individuals responsible for complex data interpretation and strategic decision-making.

Exam Information

The CompTIA DataAI (V1) exam:

• Evaluated on a pass/fail basis (no scaled score)
• Available at Pearson VUE testing centers or via online proctoring
• Valid for three years from the certification date
• Renewable through the CompTIA Continuing Education (CE) program

CompTIA complies with U.S. OFAC regulations and applicable international laws, which may affect product availability in certain regions.

Exam Domains Overview

Mathematics and Statistics (17%)

Statistical testing, regression metrics, probability modeling, linear algebra, calculus, and temporal models.

Modeling, Analysis, and Outcomes (24%)

Exploratory data analysis, feature engineering, validation, model selection, and visualization best practices.

Machine Learning (24%)

Supervised and unsupervised learning, ensemble models, deep learning concepts, regularization, cross-validation, and bias-variance tradeoff.

Operations and Processes (22%)

Data pipelines, governance, lifecycle management, DevOps/MLOps, deployment environments, and business integration.

Specialized Applications (13%)

Optimization, NLP, computer vision, anomaly detection, reinforcement learning, graph analysis, and more.

Certification Outcome

By earning CompTIA DataAI, you demonstrate the ability to:

• Design and evaluate advanced data models
• Apply machine learning techniques across domains
• Communicate insights effectively to stakeholders
• Implement data science solutions aligned with business objectives
• Operate within modern MLOps and deployment frameworks

Advance your career with expert-level data science validation through CompTIA DataAI.