Overview

The CompTIA DataX certification is designed for professionals with over five years of experience in data science, computer science, or similar fields.

This two-day instructor-led course supports learners in preparing for the DataX certification exam. Delivered through the CompTIA CertMaster Perform platform, the course combines theoretical concepts with practical activities to build a comprehensive understanding of critical data science tools and techniques.

Key topics covered include:

  • Mathematics and statistics: Learn to apply mathematical and statistical methods effectively, including data processing, cleaning, statistical modelling, linear algebra, and calculus concepts.
  • Modelling, analysis, and outcomes: Use appropriate analysis methods, apply modelling techniques, and make justified recommendations.
  • Operations and processes: Understand and implement essential data science operations and processes.
  • Specialised applications of data science: Explore industry trends and the application of specialised data science practices.
  • Machine learning: Gain insights into machine learning models, including deep learning concepts.
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Prerequisites

Important Note: Training is delivered through the CompTIA CertMaster Perform platform. Learners must complete an initial assessment, 2-4 weeks prior to the course start date.

  • A minimum of five years’ experience in data science, computer science, or a related role.
  • Interest in advancing data science skills within your organisation or becoming a data scientist.
Target audience
This course is tailored for experienced data scientists or computer scientists with a minimum of five years in the field.

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Delegates will learn how to

By the end of this course, learners will:
  • Understand and implement data science operations and processes.
  • Apply mathematical and statistical methods, focusing on data processing, cleaning, statistical modelling, linear algebra, and calculus concepts.
  • Use machine learning models and understand the fundamentals of deep learning.
  • Utilise modelling and analysis methods effectively, making justified model recommendations.
  • Demonstrate an understanding of industry trends and specialised data science applications.
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Outline

Mathematics and statistics:

  • Fundamentals of data processing and cleaning
  • Key statistical modelling techniques
  • Introduction to linear algebra and calculus in data science

Modelling and analysis:

  • Methods for data analysis
  • Modelling techniques and decision-making

Operations and processes:

  • Core operations in data science projects
  • Process implementation strategies

Specialised applications:

  • Industry trends and their implications
  • Emerging specialised applications in data science

Machine learning:

  • Overview of machine learning models
  • Introduction to deep learning concepts

Exam information

  • The DataX Certification Exam (DY0-001) includes:
  • Format: Mixed questions (multiple-choice and performance-based)
  • Duration: 165 minutes
  • Language: English
  • Pass/Fail score (not scaled)
  • Recommended experience: Five+ years in data science or a related role
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Why choose QA

Need to know

Frequently asked questions

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Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.

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All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.

When will I receive my joining instructions?

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When will I receive my certificate?

Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.

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