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CompTIA DataX (DY0-001)

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The CompTIA DataX exam was developed to meet an industry need ––bridge gaps in training and knowledge for data science professionals. The exam objectives include real-world scenarios where learners apply their knowledge, ensuring they are prepared for various challenges they may face in their careers as data scientists. Based on extensive input from experienced data scientists, DataX validates successful candidates can properly utilize and analyze vast amounts of data, extract meaning and generate actionable insights.

Successful DataX candidates gain the skills and knowledge required to: 

  • 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.
  • Utilize appropriate analysis and modeling methods and make justified model recommendations.
  • Demonstrate understanding of industry trends and specialized data science applications.

 

The CompTIA DataX certification is good for three years from the day of passing your exam.

Key Audiences

This certification is ideal for professionals beginning or advancing in data-driven roles.

  • Data+ will benefit the following job roles:

 

    • Data Analyst
    • Reporting Analyst
    • Service Desk Analyst
    • Business Intelligence Analyst
    • Marketing Analyst
    • Financial Analyst
    • Research Analyst

Example Learning Product Uses

  • CertMaster Perform to provide the complete experience of concept instruction, hands-on mastery with tasks on real machines, and assessments.
  • CertMaster Learn to fill gaps in knowledge and teach crucial concepts, with assessments and some hands-on mastery of critical skills.
  • CertMaster Labs provides hands-on mastery of critical data analyst tasks on virtual machines running popular data software.
  • CertMaster Practice provides certification exam readiness and personalized feedback on practice questions.
  • CertMaster Study contains all the instructional material to teach the course including text, images. There are also lesson reviews and module quizzes available for knowledge checks.

Learner Outcomes

CompTIA DataX (DYO-001) can broaden your knowledge for a diverse range of career paths creating opportunities for advancement and  specialization in the rapidly evolving data science industry. With CompTIA DataX, possible career paths include data scientist quantitative analyst machine learning engineer specialist predictive analyst and artificial intelligence engineer.

Example product Uses

  • Use CertMaster Perform in environments where value is attributed to learners working in actual software they will use on the job.
  • Use CertMaster Learn for a robust and comprehensive educational experience.
  • Use CertMaster Lab to apply what you learned and demonstrate the skills you’ve gained through a series of lab activities and quizzes.
  • Use CertMaster Practice for additional assessment practice to prepare for the certification exam.

Lesson Outline

  • Pre-assessment
  • 1.0 Illustrating the Data Science Lifecycle
  • 2.0 Analyzing Business Problems
  • 3.0 Collecting Data
  • 4.0 Cleaning and Preparing Data
  • 5.0 Describing Data Features
  • 6.0 Exploring Data
  • 7.0 Navigating the Model Selection Process
  • 8.0 Employing Machine Learning Methods
  • 9.0 Experimenting with Deep Learning
  • 10.0 Evaluating and Refining Data Models
  • 11.0 Communicating for Business Impact
  • 12.0 Deploying Data Models
  • 13.0 Discovering Specialized Data Science Applications
  • A.0 CompTIA DataX DY0-001 Practice Test
Exam Details
  • Number of questions – Maximun of 90 questions per exam
  • Type of questions – Multiple choidce 
  • Lendgth of test – 165 minutes
  • Passig score – Pass/Fail Only (No scaled score)
  • Data Concepts and Environments – 20%
  • Data Acquisition and Preparation – 22%
  • Data Analysis – 24%
  • Visualization and Reporting – 20%
  • Data Governance – 14%

Key Features

Training delivery options
  • Private cohort
  • Self-paced
  • Mentored learning
  • Instructor-led training
  • 5 days
  • 8 weeks
  • 13 weeks
  • Custom Options
  • CertMaster Perform

This course is designed for data science professionals who are seeking to validate and expand their skillsets. 

  • Data Scientist
  • Quantitative Analyst
  • Machine Learning
  • Engineer/Specialist
  • Predictive Analyst
  • Artificial Intelligence (AI) Engineer

Prerequisite courses / knowledge

Having a minimum of five years of hands-on experience as a data scientist or the equivalent knowledge is strongly recommended.

Réservez maintenant

Information importante :

Nos formations ne sont pas inscrites au Répertoire National des Certifications Professionnelles (RNCP), mais elles sont conformes aux exigences du Répertoire Spécifique (RS).

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ACG CyberAcademy collecte et utilise les données fournies via ce formulaire afin de traiter vos demandes d'inscription. Les champs marqués d’un * sont indispensables. Les autres informations nous permettent d’optimiser le suivi de votre demande ainsi que la qualité de notre relation client.
* Pour en savoir plus et exercer vos droits, consultez notre Politique Vie privée.