Course Overview
CompTIA DataAI is an expert-level certification designed for experienced data professionals ready to work at the intersection of data science, AI, and enterprise operations.
The certification targets senior data analysts, data scientists, data engineers, and IT professionals who are already working with analytics, cloud platforms, and AI-enabled tools—and who want to move into more advanced, AI-infused roles.
Aligned with CompTIA’s Xpert Series, DataAI reflects how advanced data roles have evolved. Statistical rigor, machine learning, MLOps, and business outcomes are no longer separate concerns. The certification confirms that a professional can move beyond analysis into building trustworthy, scalable AI systems that deliver measurable results.
What are the skills covered
CompTIA DataAI ensures learners have skills around:
- Mathematics and Statistics: Apply mathematical and statistical methods appropriately and understand the importance of data processing and cleaning, statistical modelling, linear algebra, and calculus concepts.
- Modeling, Analysis and Outcomes: Utilize appropriate analysis and modeling methods and make justified model recommendations.
Machine Learning: Apply machine learning models and understand deep learning concepts. - Operations and Processes: Understand and implement data science operations and processes.
- Specialized Applications of Data Science: Demonstrate understanding of industry trends and specialized data science in various fields.
Who should attend this course
This course is designed for data science professionals who are seeking to validate and expand their skillsets. Primary job roles:
- Data Scientists
- Quantitative Analyst
- Machine Learning Engineer/Specialist
- Predictive Analyst
- Artificial Intelligence (AI) Engineer
Course Curriculum
Course Modules
Exam & Certification
CompTIA DataAI (DY0-001)
The CompTIA DataAI exam was developed to meet an industry need ––bridge gaps in training and knowledge for data science professionals. The exam objectives include real-world scenarios where learners apply their knowledge, ensuring they are prepared for various challenges they may face in their careers as data scientists.
Based on extensive input from experienced data scientists, DataAI validates successful candidates can properly utilize and analyze vast amounts of data, extract meaning and generate actionable insights. Successful DataAI candidates gain the skills and knowledge required to:
- Understand and implement data science operations and processes.
- Apply mathematical and statistical methods appropriately and understand the importance of data processing and cleaning, statistical
modeling, linear algebra and calculus concepts. - Apply machine learning models and understand deep learning concepts.
- Utilize appropriate analysis and modeling methods and make justified model recommendations.
- Demonstrate understanding of industry trends and specialized data science applications.
