CompTIA DataX Expert Level Certification
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CompTIA DataX: Mastering Advanced Data Science, Machine Learning, and MLOps Skills
Summary
Pay in full or spread the cost evenly over 18 months
- Certification of Completion - Free
- CompTIA DataX (included in price)
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Overview
Certificates
Certification of Completion
Digital certificate - Included
Assessment details
CompTIA DataX
Included in course price
Description
Expert-Level Data Science and Machine Learning Training
The CompTIA DataX certification course is designed for experienced data professionals ready to validate and deepen their expertise across the entire data science lifecycle. This hands-on, performance-based training builds advanced competencies in statistics, machine learning, data operations, and specialised applications such as natural language processing (NLP), optimisation, and anomaly detection.
Unlike foundational certifications, DataX is tailored for senior-level practitioners who already work with complex data systems and are responsible for building scalable, ethical, and production-ready models. Through real-world labs and practical use cases, you’ll gain the skills to lead strategic data initiatives and drive impactful business outcomes.
What You'll Learn
Advanced statistics, probability, and mathematical modelling (e.g. distributions, entropy, AIC/BIC)
Machine learning model development and evaluation, including classical and deep learning techniques
MLOps workflows: CI/CD pipelines, containerisation (e.g. Docker), version control, and monitoring
Application of NLP, anomaly detection, and data optimisation methods
Ethical data science practices and stakeholder communication
Key Learning Outcomes
By the end of the course, you will be able to:
Analyse complex datasets using statistical and mathematical frameworks
Design, tune, and validate high-performance machine learning models
Deploy scalable, production-grade models using modern MLOps best practices
Communicate results through clear, ethical, and actionable visualisations
Apply advanced techniques in time series forecasting, NLP, and optimisation
Who is this course for?
This course is designed for experienced data professionals looking to validate and expand their expertise in advanced data science, machine learning, and MLOps. It’s ideal for individuals who already work with complex data systems and want to transition into more senior, strategic, or specialist roles.
Suitable for:
Senior Data Scientists aiming to formalise their advanced skill set
Machine Learning Engineers responsible for model deployment and optimisation
MLOps or DevOps professionals supporting AI/ML infrastructure
Data Analysts with 5+ years’ experience ready to move into more technical roles
Technical team leads or consultants seeking a recognised expert-level credential
Whether you're advancing within your current role or positioning yourself for leadership, CompTIA DataX gives you the competitive edge to move forward confidently.
Requirements
While there are no strict formal prerequisites, CompTIA strongly recommends the following:
5+ years of hands-on experience in one or more of the following roles:
Data Scientist
Machine Learning Engineer
Data Analyst (advanced level)
AI/ML Ops or DevOps professional with data pipeline experience
Familiarity with Python or R for data modelling and machine learning tasks
Solid working knowledge of data processing frameworks, cloud environments, and CI/CD pipelines
Career path
Entry-Level (£30,000 - £45,000)
- Junior Data Scientist
- Data Analyst
- ML/AI Assistant
Mid-Level (£50,000 - £65,000)
- Data Scientist
- Machine Learning Engineer
- Data Engineer
Senior-Level (£70,000 - £95,000)
- Senior Data Scientist
- ML Specialist
- MOPs Engineer
- Data Science Team Lead
Leadership/Strategic Roles (£100,000 - £130,000+)
- Head of Data Science
- AI Solutions Architect
- Principal Data Scientist
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This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.