CompTIA DataX
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CompTIA DataX Course Overview and Modules
- Work through complex data scenarios and translate them into analysis steps
- Use structured problem solving to support data driven decisions
- Evaluate results, assumptions, and limitations with professional judgement
- Communicate insights clearly for technical and non technical audiences
- Build confidence for advanced data credential expectations through practice
Prerequisites
Strong experience with data science concepts is recommended, typically including professional work with complex datasets. It is designed for experienced practitioners demonstrating advanced capability.
Certification Alignment
Aligned with the official objectives for CompTIA DataAI, formerly known as DataX, focusing on advanced data science and applied problem solving.
Practical Application
Includes advanced data science scenarios, modelling and evaluation exercises, applied machine learning workflows, and decision focused case studies.
Skills You Will Gain
Apply advanced data analysis and modelling approaches, evaluate and communicate results with professional judgement, and demonstrate expertise in solving complex data driven challenges.
What you will learn in CompTIA DataX Certification
A carefully structured overview of the core concepts, technical domains, and practical competencies you will master to build confidence and certification readiness.
Apply Advanced Data Science Problem Solving
Use advanced approaches to solve complex data problems and justify decisions with evidence.
Build and Evaluate Predictive Models
Select modelling approaches and evaluate performance to support real business outcomes.
Work with Complex Data and Feature Engineering
Handle complex datasets and create meaningful features that improve model performance.
Communicate Findings with Professional Judgement
Translate analysis into clear insights and recommendations for technical and business audiences.
Consider Ethics, Bias, and Responsible Use
Recognise bias and ethical concerns and apply responsible practices in data driven work.
Demonstrate End to End Data Capability
Show strong capability across data preparation, modelling, evaluation, and communication.
CompTIA DataX Course Statistics
Everything you need to know about this certification, including exam details, delivery modes, duration, and pricing.
Certification
CompTIA DataX
Certification Level
Course Duration
Training Mode
Category
Certification Vendor
Exam Code
DY0-001
Starting from
£1,695
Not sure which format works best for you? Contact us for free advice and we’ll help design a tailored training plan to match your goals. Whether you need flexible course duration, online or on-site delivery, or a customised schedule, our advisors will guide you every step of the way.
Who This Course Is For
Certification & Exam Information
Certification
CompTIA DataAI (formerly DataX)
Exam
- Exam code: DY0-001
- Level: Advanced
- Delivery: Proctored exam via Pearson VUE (test centre or online)
- Validity: Valid for 3 years (follow CompTIA renewal policy)
- Exam details: Exam duration, question count, and passing score are defined in the official exam details for this version
Skills Measured
- Data science foundations
- Data preparation and modelling
- Applied analytics and AI concepts
- Evaluation and communication of insights
Official Preparation Resources
- Official CompTIA exam objectives and study resources
- Practice questions and performance-based question guidance (where applicable)
Notes
CompTIA DataAI is the updated name for the DataX credential. This course aligns to the current DataAI objectives.
CompTIA DataX Careers & Salaries in the UK
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Frequently Asked Questions – CompTIA DataX
We understand that choosing the right course is important. Below are answers to common questions about training, certification, exams, and career outcomes.
What is CompTIA DataX and what does it validate?
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Related Data Science and Analytics Courses
Looking to build on this certification? These related courses can help you deepen your expertise and expand your career opportunities.
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