CompTIA DataX eLearning (Exam included)

CompTIA DataX eLearning (Exam included)

CompTIA DataX (DY0-001) Certification Overview

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.

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

• Course and material in English
• Advanced level
• 1 year access to the CompTIA CertMaster Learn (self-paced online course)

• 12 video lessons with performance-based questions (about 4 hours of videos)
• 40 hours study time recommended
• 1 official exam voucher
• Certification of course completion

Objectives

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.

Who it is aimed at

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

Contents

• Pre-assessment
• Illustrating the Data Science Lifecycle
• Analyzing Business Problems
• Collecting Data
• Cleaning and Preparing Data
• Describing Data Features
• Exploring Data
• Navigating the Model Selection Process
• Employing Machine Learning Methods
• Experimenting with Deep Learning
• Evaluating and Refining Data Models
• Communicating for Business Impact
• Deploying Data Models
• Discovering Specialized Data Science 

• Applications
• CompTIA DataX DY0-001 Practice Test

Prerequisites

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

Exam Format

• 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)

CompTIA DataX certification renewal

CompTIA DataX certificate expires three years from the date a candidate earned it and it must be renewed before its expiration date, through the CompTIA Continuing Education (CE) Program.

What is The differences between Data+, DataSys+, and DataX?

Data+, DataSys+, and DataX—cater to different levels of expertise and specializations within the data and IT fields:

1. CompTIA Data+: This is an entry-level certification aimed at individuals who want to start their careers in data analysis. It covers foundational skills such as data mining, visualization, governance, and statistical analysis. It's ideal for those seeking roles like data analysts or business analysts, as it focuses on using data to generate actionable insights and reports. Data+ is a good starting point for those new to the field, with about 18-24 months of relevant experience being recommended.
2. CompTIA DataSys+: This is a more advanced certification focused on data systems management. It covers topics such as database architecture, cloud integration, and data security. DataSys+ is geared towards professionals responsible for managing and securing data storage and processing systems. It's suitable for roles like database administrators, data architects, and IT security specialists, as it requires deeper expertise in managing data infrastructures.
3. CompTIA DataX: This is an expert-level certification for professionals with at least five years of experience in data science or related fields. DataX is part of the Xpert series and covers advanced concepts in mathematics, machine learning, and specialized data science applications. It targets seasoned professionals who want to validate their expertise in high-level data science operations. This certification is designed to demonstrate a comprehensive understanding of critical data science tools and concepts and is ideal for advanced roles such as data scientists.

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.