CompTIA DataX - eLearning (exam included)

650,00 EUR

  • 40 hours
eLearning

The CompTIA DataX (DY0-001) is an advanced-level certification designed for experienced professionals looking to demonstrate expertise in data science within a rapidly evolving industry. This certification broadens career opportunities, allowing professionals to specialize in various data-driven roles, such as data scientist, quantitative analyst, machine learning engineer, predictive analyst, or AI engineer.

About the course

Why Choose CompTIA DataX?

  • Vendor-Neutral Expertise: Validates advanced data science skills that can be applied across different tools and platforms.
  • Standardized Skill Set: Establishes a recognized and consistent level of expertise for certified data professionals.
  • Growing Industry Demand: As data continues to expand, organizations increasingly seek skilled data scientists to manage and analyze it.

The CompTIA DataX exam is designed for professionals with over five years of experience in data science, computer science, or related fields. It offers a structured learning framework, reinforcing essential data science concepts and tools to help individuals advance in their careers.


Key Features

Language

Understand how to model data, perform ingestion, replicate data, and shard data using the NoSQL database management system MongoDB

Level

Advanced level

Access

1 year access to the platform with 24/7 access

4 hours of videos course

12 video lessons with performance-based questions

Study time

40 hours study time recommended

1 official exam voucher

Certification of course completion

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Learning Outcomes

By taking this course, you will learn how to:

Mathematics and Statistics

Apply mathematical and statistical techniques effectively, including data processing, cleaning, statistical modeling, linear algebra, and calculus.

Modeling, Analysis, and Outcomes

Use suitable analysis and modeling methods, and provide well-supported recommendations for models.

Machine Learning

Implement machine learning models and grasp the fundamentals of deep learning.

Operations and Processes

Understand and execute essential data science operations and workflows.

Specialized Applications

Demonstrate knowledge of industry trends and advanced applications in data science.

Course timeline

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  1. Foundations of Data Science

    Lesson 1

    • Pre-assessment
    • Illustrating the Data Science Lifecycle
    • Analyzing Business Problems
  2. Data Collection and Preparation

    Lesson 2

    • Collecting Data
    • Cleaning and Preparing Data
  3. Data Exploration and Analysis

    Lesson 3

    • Describing Data Features
    • Exploring Data
  4. Model Selection and Machine Learning

    Lesson 4

    • Navigating the Model Selection Process
    • Employing Machine Learning Methods
    • Experimenting with Deep Learning
  5. Model Evaluation and Deployment

    Lesson 5

    • Evaluating and Refining Data Models
    • Deploying Data Models
  6. Communication and Business Impact

    Lesson 6

  7. Specialized Topics and Practice

    Lesson 7

    • Discovering Specialized Data Science Applications
    • CompTIA DataX DY0-001 Practice Test
comptia dataX

Who Should Enroll in this Program?

Prerequisites

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


Data Scientist

Quantitative Analyst

Machine Learning Engineer/Specialist

Predictive Analyst

Artificial Intelligence (AI) Engineer

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Exam details

  • Duration of 165 minutes
  • Multiple choice and performance-based exam (PBQs: Performance-based questions are exam items designed to test a candidate’s ability to solve problems in real-world settings and are delivered as either simulations or within virtual environments)
  • Maximum of 90 questions
  • Pass/Fail only (no scaled score)
  • Testing provider: Person Vue (Testing Center or Online Testing)

Equity Policy

CompTIA currently does not provide test accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.

Frequently Asked Questions

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