CompTIA DataX Certification Training

Price
$2,495.00 USD

Duration
5 Days

Delivery Methods
Virtual Instructor Led
Private Group

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Course Overview

Data science is transforming industries—and CompTIA DataX proves you're ready to lead. With over 1.05 million U.S. job postings requiring data science skills and a 35% projected job growth over the next decade, the demand for skilled professionals is only accelerating.

The CompTIA DataX Certification Training course is built for experienced professionals who want to validate high-level, vendor-neutral data science skills. This course prepares you for complex real-world tasks, from optimizing machine learning models to deploying data pipelines, and aligns directly with the performance-based CompTIA DataX certification exam (DY0-001). With labs, live exercises, and hands-on projects, you'll gain the confidence to solve meaningful business problems through data.

What Is Included

Expert-Led Instruction – Learn from senior instructors with real-world data science experience
90-Day Access to Recordings – Review critical concepts at your convenience
Guaranteed-to-Run – No canceled sessions—your training stays on track
Free Retake Option – Retake the course within 12 months (conditions apply)
Official CompTIA Course Materials – Get structured, vendor-approved resources aligned to the exam objectives
Practice Exam – Build confidence with sample questions aligned to the official exam objectives

Course Objectives

This course prepares experienced professionals seeking to validate their expertise in advanced data science. You’ll master practical skills, prepare for the CompTIA DataX certification exam, and gain confidence in deploying real-world solutions.

Apply mathematical and statistical techniques, including linear algebra and calculus, in business contexts
Navigate the data science lifecycle, from collection and transformation to communication and deployment
Build and refine predictive models using machine learning and deep learning techniques
Apply CI/CD, DevOps, and MLOps for enterprise-grade data processing workflows
Demonstrate your readiness for the CompTIA DataX DY0-001 certification exam

Who Should Attend?

This course is for data scientists, ML engineers, quantitative analysts, and other experienced professionals seeking to validate advanced data science skills. You should have at least five years of hands-on experience with data analysis, modeling, and deployment.

Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

What is the CompTIA DataX certification?

CompTIA DataX is a high-level certification for professionals seeking to validate competency in the rapidly evolving field of data. It is a vendor-neutral, performance-based exam designed to assess technical expertise across the full data science lifecycle.

Is CompTIA DataX training worth it?

Absolutely. The CompTIA DataX certification offers a rigorous, industry-recognized credential that distinguishes you as a senior-level data scientist. It’s ideal for roles that require deep technical knowledge, leadership, and decision-making in data-driven environments.

How does this course prepare me for deploying predictive models using CI/CD pipelines and monitoring model drift?

This course covers deployment methodologies, containerization, and MLOps. You’ll practice automating deployments, using version control, and monitoring models in production—all essential tasks for senior-level data professionals.

How does this course prepare me for the CompTIA DataX DY0-001 exam objectives?

This course is fully aligned with the official CompTIA DataX DY0-001 exam objectives, covering core domains like mathematics and statistics, machine learning, operations and processes, and specialized applications. You’ll build hands-on skills through labs and exercises that mirror the performance-based nature of the certification exam. While the exam voucher is not included by default, you can add it during registration to streamline your certification path.

What kind of salary can I expect with this certification?

According to the U.S. Bureau of Labor Statistics, the median annual salary for data scientists is $103,500. With a CompTIA DataX certification, you position yourself for higher-paying roles that demand validated expertise in data science and model deployment.

Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with New Horizons, you may use a portion of your agreement to pay for this class.

If you have questions about Learning Credits, please contact your Account Manager.

Corporate Tech Pass: Our Corporate Tech Pass includes unlimited attendance for a single person, in the following Virtual Instructor Led course types: Microsoft Office, Microsoft Technical, CompTIA, Project Management, SharePoint, ITIL, Certified Ethical Hacker, Certified Hacking Forensics Investigator, Java, Professional Development Courses and more. The full list of eligible course titles can be found at https://www.newhorizons.com/eligible.

If you have questions about our Corporate Tech Pass, please contact your Account Manager.

Course Prerequisites

5+ years of experience in data science, computer science, or a related field
Strong foundational knowledge in statistics, mathematics, and machine learning.

Agenda

Module 1: Illustrating the Data Science Lifecycle

CRISP-DM and other common lifecycle frameworks
Folder structures, APIs, and code quality
Intro to R/Python syntax
Live Lab: Exploring the DataX Environment
Module Quiz

Module 2: Analyzing Business Problems

Identifying business needs and solutions
Cost-benefit analysis and model selection
Privacy, masking, and ethical considerations
Challenge Lab: Predictive Cost Modeling
Module Quiz

Module 3: Collecting Data

Structured vs unstructured data
Synthetic data, lineage, and ingestion
Pipelines, storage, and error handling
Live Lab: Data Ingestion Optimization
Module Quiz

Module 4: Cleaning and Preparing Data

Wrangling, transformation, and feature engineering
Data processing infrastructure and scaling
Challenge Lab: EDA for Anomaly Detection
Module Quiz

Module 5: Describing Data Features

Time series, lag, seasonality, and granularity
Matrix/vectorization and multivariate issues
Challenge Lab: Feature Interpretation
Module Quiz

Module 6: Exploring Data

EDA tasks, visualization, and statistical analysis
Regression tests and probability distributions
Module Quiz

Module 7: Utilizing Unsupervised Learning

Clustering, dimensionality reduction, and heuristics
Live Lab: Cluster Analysis for User Behavior
Module Quiz

Module 8: Navigating Model Selection

Research reviews, constraints, and mathematical and statistical techniques
Apply linear algebra and calculus in modeling
Time series forecasting and survival analysis
Challenge Lab: Longitudinal Prediction
Module Quiz

Module 9: Employing Machine Learning Methods

Supervised, unsupervised, and ensemble learning
Drift monitoring and model tuning
Live Labs: Logistic Regression, Decision Trees, Random Forests
Module Quiz

Module 10: Experimenting with Deep Learning

Neural networks, layers, and activation functions
Embeddings, OCR, and image classification
Challenge Lab: Deep Learning Image Processing
Module Quiz

Module 11: Evaluating and Refining Data Models

Optimization, hyperparameter tuning, and benchmarking
Bandits, resource allocation, and prediction accuracy
Live Lab: Model Optimization
Module Quiz

Module 12: Communicating for Business Impact

Storytelling, stakeholder alignment, and data compliance
Challenge Lab: Reporting for Decision Makers
Module Quiz

Module 13: Deploying Data Models

CI/CD, virtualization, containerization, and monitoring
Infrastructure-as-Code and hybrid/edge deployments
Live Lab: Deploy ML Pipelines in AWS
Module Quiz

Module 14: Discovering Specialized Applications

Specialized applications: NLP, computer vision, graph analytics
Event detection, signal processing, edge AI
Module Quiz

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We can enroll multiple students in an upcoming class or schedule a dedicated private training event designed to meet your organization’s needs.