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Course overview
DataX represents the latest and greatest in data science. It is a premier certification specifically designed for experienced data science professionals looking to solidify their standing in this dynamic field.
This course covers everything from core operations and machine learning to specialised data applications. It’s ideal for those ready to advance their careers by demonstrating their mastery of advanced-level data science skills.
Alternatively, our Data Analyst Career Programme is the preferred route for students looking to kickstart their careers and thrive as Data Analysis Professionals.
Job outcomes
- Data Scientist
- Quantitative Analyst
- Machine Learning Engineer/Specialist
- Computer & Information Research Scientist
What you'll learn
The main learning objective of the CompTIA DataX course is to equip experienced professionals with advanced data science skills, enabling them to confidently apply complex methods, drive data-driven decisions, and validate their expertise with a globally recognised certification.
This course focuses on mastering complex data science operations, applying mathematical and statistical methods, implementing advanced machine learning models, and understanding specialised applications like natural language processing (NLP) and computer vision.
Recognition
Study method
- Online
- Blended
- In-class
Awards
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Duration study load
- Unlimited, 12-month access to the official CompTIA DataX Course
Entry requirements
CompTIA requires that you have a minimum of 5+ years’ experience in data science or a similar role.
Course features
- Diagnostic Pre-Test to determine your exam readiness and pinpoint areas to improve.
- Hands-on practical exercises that reflect the challenges you’ll face on the job.
- Study material that covers every objective of the exam, ensuring you’re fully prepared to demonstrate your expertise.
- Consultation with a Career Consultant to corroborate your course choice.
- Unlimited, 12-month access to the official CompTIA DataX Course
- Official CompTIA DataX Exam
- Certified Tutor to help with course queries.
- Access to a full Support Team for assistance with examination, notes, and study queries
- Official CompTIA learning portal with access to videos, flash cards, and performance-based questions (PBQs) to maximise your chance of success.
- A professional, industry-oriented CV rewrite*
- A LinkedIn profile overhaul to maximise your new networking opportunities*
Who's it for?
If you’ve got over five years of experience in data science or a related field and are ready to validate and expand your skillset, this course is for you. Whether you’re a Data Scientist, Machine Learning Engineer, or Quantitative Analyst, or Computer & Information Research Scientist CompTIA DataX will set you apart.
FAQs
What experience is required?
You should have at least five years of experience in data science or a similar field.
What is the exam format?
The exam includes performance-based questions that test your ability to apply advanced data science concepts in real-world scenarios.
How does the certification compare to others?
CompTIA DataX stands out as the leading vendor-neutral certification, offering the flexibility, recognition, and comprehensive assessment that sets you apart from the crowd.
What does it mean to be a “high stakes” exam?
An extraordinarily high level of rigor is employed in developing CompTIA certifications. Each question created for a CompTIA exam undergoes multiple layers of quality assurance and thorough psychometric statistical validation, ensuring CompTIA exams are highly representative of knowledge, skills and abilities required of real job roles. This is why CompTIA certifications are a requirement for many professionals working in technology. Hiring managers and candidates alike can be confident that passing a CompTIA certification exam means confidence on the job.
What does it mean to be a “vendor-neutral” certification?
All CompTIA certification exams are vendor neutral. This means each exam covers multiple technologies, without confining the candidate to any one platform. Vendor neutrality is important because it ensures IT professionals can perform important job tasks in any technology environment. IT professionals with vendor-neutral certifications can consider multiple solutions in their approach to problem solving, making them more flexible and adaptable than those with training to just one technology.
Subjects
The CompTIA DataX course equips experienced professionals with advanced data science skills, enabling them to confidently apply complex methods, drive data-driven decisions, and validate their expertise with a globally recognised certification.
- Given a scenario, apply the appropriate statistical method or concept.
- Explain probability and synthetic modelling concepts and their uses.
- Explain the importance of linear algebra and basic calculus concepts.
- Compare and contrast various types of temporal models.
- Given a scenario, apply foundational machine-learning concepts.
- Given a scenario, apply appropriate statistical supervised machine-learning concepts.
- Given a scenario, apply tree-based supervised machine-learning concepts.
- Explain concepts related to deep learning.
- Explain concepts related to unsupervised machine learning.
- Explore cutting-edge topics like natural language processing (NLP) and computer vision.
- Given a scenario, use the appropriate exploratory data analysis (EDA) method or process.
- Given a scenario, analyse common issues with data.
- Given a scenario, apply data enrichment and augmentation techniques.
- Given a scenario, conduct a model design iteration process.
- Given a scenario, analyse results of experiments and testing to justify final model recommendations and selection.
- Given a scenario, translate results and communicate via appropriate methods and mediums.
- Explain the role of data science in various business functions.
- Explain the process of and purpose for obtaining different types of data.
- Explain data ingestion and storage concepts.
- Given a scenario, implement common data-wrangling techniques.
- Given a scenario, implement best practices throughout the data science life cycle.
- Explain the importance of DevOps and MLOps principles in data science.
- Compare and contrast various deployment environments.
About ITonlinelearning
Located in Sittingbourne, Kent in the United Kingdom, ITonlinelearning was founded by Jeremy Dargie in 2007. Our aim is to help both aspiring and seasoned professionals gain internationally recognised, accredited certifications that enable them to begin and develop their careers and develop into sought-after and well-versed professionals.
We are able to tailor your courses to your specific needs, giving you the opportunity to study courses on offer from world-leading companies such as PeopleCert, CompTIA, Axelos, APM, APMG, BCS, DMI and CMI, to name but a few. These certifications will help you, like thousands of others, reach your certification goals and beyond, ensuring that you develop your chosen career into a lucrative and rewarding profession.
