CompTIA DataX
CompTIA DataX (DY0-001) is the premier skills development program for highly experienced professionals seeking to validate competency in the rapidly evolving field of data science.
Ideal For
Recommended Experience:
5+ years of experience in data science or a similar role is recommended.
Recommended Experience:
5+ years of experience in data science or a similar role is recommended.
Recommended Experience:
5+ years of experience in data science or a similar role is recommended.
What to Expect
SKILL LEVEL
Difficult
DURATION
1 exam, Maximum of 90 questions, 165 minutes
CERTIFICATION
After Completion
LANGUAGE
English
Skills You Will Learn
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.
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.
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.
Specialised Applications of Data Science Demonstrate understanding of industry trends and specialised data science applications.
Operations and Processes Understand and implement data science operations and processes.
Specialised Applications of Data Science Demonstrate understanding of industry trends and specialised data science applications.
Operations and Processes Understand and implement data science operations and processes.
Specialised Applications of Data Science Demonstrate understanding of industry trends and specialised data science applications.
Module
Expand All +
Pre-Work: Preparatory Lessons
Module Title 1
Module Title 2
Module
Expand All +
Pre-Work: Preparatory Lessons
Module Title 1
Module Title 2
Course Outcome
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.
Utilise appropriate analysis and modeling methods and make justified model recommendations.
Demonstrate understanding of industry trends and specialized data science applications.
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.
Utilise appropriate analysis and modeling methods and make justified model recommendations.
Demonstrate understanding of industry trends and specialized data science applications.
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.
Utilise appropriate analysis and modeling methods and make justified model recommendations.
Demonstrate understanding of industry trends and specialized data science applications.
Course Intake
9 September 2025 → 18 November 2025
Tuesday and Thursday | 8PM → 10PM
Content Provider
CompTIA (The Computing Technology Industry Association) is the leading provider of vendor-neutral IT certifications in the world. With more than 2 million IT certifications issued worldwide, CompTIA is dedicated to helping IT professionals lead the charge in our digitally connected world.
For more than 20 years, CompTIA has developed training and certification exams for computing support, networking, security, open-source (Linux) development, cloud and mobility. Our regular review and updates of exams ensure that CompTIA certifications continue to address the needs of today’s technology challenges.
CompTIA (The Computing Technology Industry Association) is the leading provider of vendor-neutral IT certifications in the world. With more than 2 million IT certifications issued worldwide, CompTIA is dedicated to helping IT professionals lead the charge in our digitally connected world.
For more than 20 years, CompTIA has developed training and certification exams for computing support, networking, security, open-source (Linux) development, cloud and mobility. Our regular review and updates of exams ensure that CompTIA certifications continue to address the needs of today’s technology challenges.
CompTIA (The Computing Technology Industry Association) is the leading provider of vendor-neutral IT certifications in the world. With more than 2 million IT certifications issued worldwide, CompTIA is dedicated to helping IT professionals lead the charge in our digitally connected world.
For more than 20 years, CompTIA has developed training and certification exams for computing support, networking, security, open-source (Linux) development, cloud and mobility. Our regular review and updates of exams ensure that CompTIA certifications continue to address the needs of today’s technology challenges.
Module
Expand All +
Pre-Work: Preparatory Lessons
Module Title 1
Module Title 2
Module
Expand All +
Pre-Work: Preparatory Lessons
Module Title 1
Module Title 2
