CompTIA DataX (DY0-001)

CompTIA DataX Certification Training Course

Apply mathematics and statistics, modeling, machine learning, MLOps processes, and specialized data science techniques — CompTIA DataX (DY0-001).

Course focus: Probability and linear algebra for data science, exploratory analysis and model evaluation, supervised and unsupervised machine learning, data wrangling and MLOps, and specialized applications such as NLP and computer vision awareness aligned to CompTIA DataX exam objectives.

Course Overview

Advanced data science skills — not entry-level data literacy alone.

Accumentum’s CompTIA DataX Certification Training Course prepares experienced data science practitioners for the CompTIA DataX exam (DY0-001). The credential validates end-to-end skills from mathematics and statistics through modeling, machine learning, operations, and specialized applications.

This course is advanced. CompTIA recommends five or more years in data science or a similar role. It is not CompTIA Data+; Data+ is a separate earlier data analytics credential.

Course Objectives

What you will be able to apply as a data science practitioner.

Mathematics and statistics

Probability, distributions, hypothesis testing concepts, linear algebra, calculus basics, and temporal models (17%).

Modeling and outcomes

EDA, data issues, feature engineering, model design/evaluation, and results communication (24%).

Machine learning

Supervised, unsupervised, tree-based, and deep learning foundations with loss and leakage awareness (24%).

Operations and specialized apps

Data wrangling, MLOps processes, and specialized applications of data science (22% + 13%).

Who Should Attend

Data scientists, ML engineers, and quantitative analysts preparing for CompTIA DataX.
Experienced practitioners with several years in data science or a similar role.
Analytics professionals moving from descriptive work into modeling and ML operations.
Learners who already hold foundational data credentials and need an advanced practitioner exam map.

Prerequisites

CompTIA recommends five or more years of experience in data science or a similar role.
Comfort with statistics, programming for data work, and common ML workflows is expected.
This training is not CompTIA Data+; Data+ is a separate analytics foundation credential.
Hands-on practice with modeling, evaluation, and MLOps supports DY0-001 exam readiness.

Pathway Map

Eight modules mapped to CompTIA DataX DY0-001 domains.

Exam domains: Mathematics and Statistics 17%; Modeling, Analysis, and Outcomes 24%; Machine Learning 24%; Operations and Processes 22%; Specialized Applications of Data Science 13%.

Toolkit and exam map

Mathematics and statistics

EDA, data issues, and enrichment

Model design and communicating results

Machine learning foundations

Deep learning and unsupervised methods

Operations, wrangling, and MLOps

Specialized applications of data science

Course Content

Statistical methods and hypothesis-testing concepts used in modeling.
Probability, distributions, skewness, kurtosis, PDF/PMF/CDF, sampling, and stratification.
Linear algebra and calculus concepts: matrices, eigenvalues, distance metrics, derivatives, logs.
Temporal models: time series, survival analysis, and causal inference awareness (domain 1.0 — 17%).

Course Features

Designed for CompTIA DataX practitioner work.

Exam-domain map

Eight modules aligned to CompTIA DataX DY0-001 domains and published weights.

Advanced scope

Math, modeling, ML, MLOps, and specialized applications — not Data+ analytics foundations alone.

Public exam facts

Maximum of 90 questions; multiple-choice and performance-based; 165 minutes; pass/fail. No invented scaled score.

Experience alignment

Built for practitioners with multi-year data science experience.

Certification Exam

Prepare for the official CompTIA DataX (DY0-001) exam.

DataX Exam Readiness

Accumentum DataX training prepares experienced practitioners for the CompTIA DataX certification exam (DY0-001).

The CompTIA DataX exam series code is DY0-001. Public facts: maximum of 90 questions; multiple-choice and performance-based; length of test 165 minutes; scoring is pass/fail.

Exam domains: Mathematics and Statistics (17%); Modeling, Analysis, and Outcomes (24%); Machine Learning (24%); Operations and Processes (22%); Specialized Applications of Data Science (13%).

Frequently Asked Questions

CompTIA DataX training with Accumentum: scope, audience, domains, and public exam facts.

Enrollment

Enroll in CompTIA DataX Certification Training with Accumentum.

Enroll in Accumentum’s CompTIA DataX Certification Training Course to prepare for exam DY0-001. For course dates and enrollment support, visit Accumentum’s registration page linked below.

Prepare for CompTIA DataX practitioner work.

Apply advanced data science across math, modeling, ML, and MLOps. Not Data+.