CompTIA DataX Certification Training Course
Length
5 days
Price
$2399
Cities
Melbourne, Sydney, Brisbane, Adelaide, Canberra, Perth
Learn More
Why Choose This Course
CompTIA DataX certification training is designed for experienced data professionals who want to validate advanced skills across the entire data science lifecycle. This course covers complex statistical and mathematical methods, exploratory data analysis, feature engineering, machine learning, deep learning, and operational deployment through MLOps. It aligns with the official CompTIA DataX exam objectives, ensuring participants gain practical, exam-focused knowledge.
The program emphasises real-world application, including building and optimising data pipelines, managing data operations, and applying ethical and governance principles in data projects. With the growing demand for data-driven decision-making across industries, CompTIA DataX provides a globally recognised credential that demonstrates expertise in advanced analytics and model deployment.
Whether you work in Melbourne, Sydney, Brisbane, Perth or Canberra, this training helps you prepare for certification and equips you with the skills to lead complex data initiatives. A certificate of course attendance is included.
Prerequisites
- Recommended: 5+ years of experience in data analytics or data science
- Strong understanding of Python, SQL and data modelling concepts
Exam
Candidates can achieve thi certification by passing the following exam(s).
DY0-001- CompTIA DataX
Books
CompTIA DataX course material included.
Delivery
- Instructor-led Classroom Training at our premises
- Live Virtual Online Training attend in real-time from anywhere
- In-House Training at your premises (4+ participants)
Skills Gained
Apply advanced statistical and mathematical techniques for data analysis.
Perform exploratory data analysis and feature engineering.
Build and optimise machine learning and deep learning models.
Implement data pipelines and manage operational workflows.
Apply MLOps principles for model deployment and monitoring.
Ensure data governance, ethics, and compliance in analytics projects.
Evaluate model performance and apply optimisation strategies.
Integrate data solutions into cloud and hybrid environments.
Use automation tools for scalable data operations.
Communicate insights effectively to stakeholders.
Audience
- Data engineers and data scientists
- Cloud architects and IT professionals
- Professionals seeking to validate AWS data analytics skills
- Individuals with experience designing, building, maintaining analytics solutions on AWS (2+ years) and general data experience (5+ years)
Objectives
- Understand advanced statistical and mathematical techniques for data analysis and decision-making.
- Gain expertise in exploratory data analysis, feature engineering and data preparation for complex models.
- Learn to build, optimise and evaluate machine learning and deep learning models for real-world applications.
- Develop skills to design and manage data pipelines and implement MLOps for model deployment and monitoring.
- Apply best practices in data governance, ethics and compliance across analytics projects.
- Integrate data solutions into cloud and hybrid environments while ensuring scalability and security.
Outline
Introduction to CompTIA DataX and certification scope
Advanced statistical and mathematical foundations
Exploratory data analysis techniques
Feature engineering and data preparation
Machine learning algorithms and evaluation
Deep learning concepts and neural networks
Data pipeline design and optimisation
MLOps principles and practices
Model deployment and lifecycle management
Data governance and ethical considerations
Cloud integration for data solutions
Automation and orchestration tools
Performance monitoring and optimisation
Security and compliance in data operations
Communication and reporting best practices
Case studies and real-world applications
Exam preparation and practice exercises
Price
| Category | Full-Time (Weekdays) | Part-Time (Weeknights) | Part-Time (Weekends) |
|---|---|---|---|
| Days | Monday to Wednesday | Mondays and Tuesdays | Saturdays only |
| Time | 9:30 am to 5:00 pm | 6:00 pm to 9:00 pm | 10:00 am to 5:00 pm |
| Duration | 5 days | 5 weeks | 5 weeks |
| Price | $2399 | $2399 | $2399 |
Terms & Conditions
The supply of this course is governed by our terms and conditions. Please read them carefully before enrolling, as enrolment is conditional on acceptance of these terms and conditions. Proposed course dates are given, course runs subject to availability and minimum registrations.
Frequently Asked Questions (FAQ's)
What is CompTIA DataX certification?
It is an advanced-level certification for experienced data professionals, covering the full data science lifecycle from analysis to deployment.
Who should take this course?
Data scientists, engineers, analysts and machine learning specialists seeking to validate advanced skills and gain a globally recognised credential.
What topics are covered in the training?
The course includes advanced statistics, machine learning, deep learning, data pipelines, MLOps, governance and cloud integration.
Can I take this course online or only in person?
Yes, the training is relevant for data professionals in Melbourne, Sydney, Brisbane, Perth and Canberra.
Our Partnership
We are proud to collaborate with Telstra, one of Australia’s leading technology and telecommunications providers, to offer the CompTIA DataX certification training course. This partnership supports learners in developing advanced data science and analytics capabilities across the full data lifecycle. The course covers key areas such as statistical analysis, machine learning, deep learning, data pipeline optimisation, and MLOps—equipping professionals with the skills to build scalable, secure data solutions and drive data-informed decision-making across industries.
$125,000
Average annual salary for senior data professionals in Australia, reflecting strong demand for advanced analytics and MLOps expertise.
74%
Employers report that advanced data certifications like CompTIA DataX are preferred or required for senior data science and engineering roles.
10.2%
Year-on-year growth in job opportunities for professionals with advanced data analytics and machine learning skills.
85,000+
Active advanced-level data certification holders worldwide, showcasing global recognition of specialist credentials.
4,500+
Australian organisations employ or seek professionals with advanced data analytics and operational deployment skills.
98%
Student satisfaction rate from our advanced data training programs, highlighting quality and practical relevance.
Our Accreditations
