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COMPTIA CERTIFICATION

CompTIA DataX

DY0-001

Build professional-level data science skills across mathematics and statistics, modeling, machine learning, data operations, and specialized applications of data science.

CompTIA DataX Certification

CompTIA DataX is designed for professionals aiming to develop and validate advanced data science knowledge. The certification covers mathematical and statistical concepts, data modeling, analysis, machine learning, operations, and specialized data science applications.

The program focuses on applying data science concepts to real-world scenarios, including exploratory data analysis, model development, experimentation, machine learning, data wrangling, and communicating analytical outcomes.

CompTIA DataX provides a tool-agnostic approach to data science, helping professionals develop transferable knowledge across different technologies and environments.

Build Advanced Data Science Skills

01

Mathematics & Statistics

Develop knowledge of statistics, probability, modeling, linear algebra, calculus, and temporal models used in data science.

02

Data Modeling & Analysis

Apply exploratory data analysis, data enrichment, augmentation, experimentation, and model design techniques.

03

Machine Learning

Develop knowledge of supervised, tree-based, unsupervised, and deep learning concepts.

04

Data Operations

Understand data acquisition, ingestion, storage, data wrangling, lifecycle practices, and deployment environments.

05

DevOps & MLOps

Understand the role of DevOps and MLOps principles throughout the modern data science lifecycle.

06

Specialized Applications

Explore optimization, natural language processing, computer vision, and other specialized applications of data science.

Develop Professional Data Science Capabilities

The CompTIA DataX program covers the complete data science lifecycle, from obtaining and preparing data through analysis, modeling, machine learning, deployment, and communication of results.

Learners develop knowledge of exploratory data analysis, statistical methods, model design, supervised and unsupervised machine learning, deep learning, data wrangling, and data science operations.

The program also introduces specialized areas including natural language processing, computer vision, and optimization techniques.

CompTIA DataX Learning Path

01

Mathematics and Statistics

Apply appropriate statistical methods and concepts, understand probability and synthetic modeling, and explain linear algebra, calculus, and temporal models.

17%
02

Modeling, Analysis, and Outcomes

Apply exploratory data analysis, analyze data issues, perform enrichment and augmentation, design models, evaluate experiments, and communicate results.

24%
03

Machine Learning

Apply foundational machine-learning concepts including statistical supervised learning, tree-based learning, deep learning, and unsupervised learning.

24%
04

Operations and Processes

Understand data science across business functions, data acquisition, ingestion, storage, data wrangling, lifecycle practices, DevOps, MLOps, and deployment.

22%
05

Specialized Applications of Data Science

Explore optimization concepts together with natural language processing, computer vision, and other specialized applications of data science.

13%

Skills You Can Develop

Data Science
Data Literacy
Statistical Analysis
Exploratory Data Analysis
Data Modeling
Machine Learning
Deep Learning
Data Wrangling
Data Visualization
Data Governance

Career Opportunities

Data Analyst
Business Intelligence Analyst
Data Technician
Operations Analyst
Reporting Analyst
Data Support Specialist
Market Research Analyst
Junior Data Engineer
Financial Analyst

CompTIA DataX Exam Details

Certification CompTIA DataX
Exam Code DY0-001
Required Exam DY0-001
Number of Questions Maximum of 90
Question Type Multiple-Choice & Scenario-Based
Exam Duration 165 Minutes
Passing Score Pass / Fail Only
Languages English
Retirement Usually Three Years After Launch
Ticket Options
Class Room
$2,995.00
Virtual Live
$2,495.00
Total Price : Free
Attendee Information :   
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Choose from flexible instructor-led training options, including virtual sessions, classroom programs, on-site training, and one-to-one mentoring. Training dates, duration, session timing, and delivery format can be discussed based on your requirements.

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02 Classroom Group Training
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06 Customized Training Programs
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