CompTIA DataX (DY0-001)
Data skills refined. Certification earned. Career upgraded. All thanks to our CompTIA DataX training.
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14-Jul-2025
About This Course
This CompTIA DataX training is your all-access pass to the data analytics skills that get you hired.
Dive into data collection, exploration, and machine learning. Then, level up with neural networks, NLP, and real-world applications. From probability distributions to model deployment, get ready to pass the CompTIA DY0-001 exam.
Skills You’ll Get
- Data Science Fundamentals: Master core concepts, best practices, and real-world applications of data science.
- Statistical & Mathematical Mastery: Understand probability, inferential stats, linear algebra, and calculus for data analysis.
- Data Wrangling & Cleaning: Learn to collect, store, explore, and fix messy data.
- Machine Learning Modeling: Build, evaluate, and deploy supervised & unsupervised models (regression, clustering, neural networks, NLP).
- MLOps & Model Deployment: Validate models, communicate insights, and manage ML workflows in production.
Interactive Lessons
13+ Interactive Lessons | 226+ Exercises | 240+ Quizzes | 121+ Flashcards |
Gamified TestPrep
36+ Pre Assessment Questions | 2+ Full Length Tests | 180+ Practice Test Questions
Hands-On Labs
10+ LiveLab | 00+ Minutes
Introduction
- About the DataX Certification
- How This Course Is Organized
What Is Data Science?
- Data Science
- Data Science Best Practices
- Summary
- Exam Essentials
Mathematics and Statistical Methods
- Calculus
- Probability Distributions
- Inferential Statistics
- Linear Algebra
- Summary
- Exam Essentials
Data Collection and Storage
- Common Data Sources
- Data Ingestion
- Data Storage
- Managing the Data Lifecycle
- Summary
- Exam Essentials
Data Exploration and Analysis
- Exploratory Data Analysis
- Common Data Quality Issues
- Summary
- Exam Essentials
Data Processing and Preparation
- Data Transformation
- Data Enrichment and Augmentation
- Data Cleaning
- Handling Class Imbalance
- Summary
- Exam Essentials
Modeling and Evaluation
- Types of Models
- Model Design Concepts
- Model Evaluation
- Summary
- Exam Essentials
Model Validation and Deployment
- Model Validation
- Communicating Results
- Model Deployment
- Machine Learning Operations (MLOps)
- Summary
- Exam Essentials
Unsupervised Machine Learning
- Association Rules
- Clustering
- Dimensionality Reduction
- Recommender Systems
- Summary
- Exam Essentials
Supervised Machine Learning
- Linear Regression
- Logistic Regression
- Discriminant Analysis
- Naive Bayes
- Decision Trees
- Ensemble Methods
- Summary
- Exam Essentials
Neural Networks and Deep Learning
- Artificial Neural Networks
- Deep Neural Networks
- Summary
- Exam Essentials
Natural Language Processing
- Natural Language Processing
- Text Preparation
- Text Representation
- Summary
- Exam Essentials
Specialized Applications of Data Science
- Optimization
- Computer Vision
- Summary
- Exam Essentials
Mathematics and Statistical Methods
- Calculating Probabilities Using a PDF
- Calculating Skewness and Kurtosis in Data
- Exploring Discrete Probability Distributions Using the PMF
- Simulating the CLT
- Performing a Chi-squared Test of Independence
- Performing Two-Way ANOVA
- Performing a t-test for Two Samples
- Working With Matrices
Data Collection and Storage
- Generating Synthetic Data
Data Exploration and Analysis
- creating a box and whisker plot
Data Processing and Preparation
Modeling and Evaluation
Model Validation and Deployment
Unsupervised Machine Learning
Supervised Machine Learning
Neural Networks and Deep Learning
Natural Language Processing
Specialized Applications of Data Science
Issued by CompTIA, DataX is an expert-level credential validating expertise in data science, covering mathematics, machine learning, data operations, and specialized applications like NLP and computer vision. It’s designed for professionals with 5+ years of experience in data science or related fields.
The DataX DY0-001 exam focuses on:
- Mathematics & Statistics (calculus, probability, linear algebra)
- Data Processing (cleaning, exploration, lifecycle management)
- Machine Learning (supervised/unsupervised models, neural networks)
- Model Deployment & MLOps
- Specialized Applications (NLP, optimization, computer vision)
- Enroll in uCertify’s CompTIA DataX online course.
- Take our gamified practice tests.
- Challenge your knowledge with 50+ interactive question formats.
- Gain hands-on experience with real-world datasets and labs.
While not mandatory, 5+ years of data science experience is strongly recommended to take the CompTIA DataX certification exam.