CompTIA DataX (DY0-001): Expert Data Science Exam Prep

This course contains the use of artificial intelligence.

CompTIA DataX (DY0-001), also being rebranded by CompTIA as 'DataAI' under the same exam code, is a rigorous, vendor-neutral, expert-level credential for data scientists with roughly five or more years of hands-on experience. Unlike associate-level or single-vendor ML certifications, DataX tests deep statistical reasoning, model judgment, and end-to-end lifecycle thinking across five weighted domains: Modeling, Analysis, and Outcomes; Machine Learning; Operations and Processes; Mathematics and Statistics; and Specialized Applications of Data Science. This course walks through every domain with worked examples, executable code, and scenario-based reasoning rather than tool-specific tutorials, since the exam itself is tool-agnostic.

Across 13 chapters you will work through exploratory data analysis and data-quality triage, feature engineering, the full supervised and unsupervised ML toolkit, deep-learning architectures, MLOps and pipeline design, hypothesis testing and Bayesian reasoning, linear algebra and calculus foundations for optimization, and specialized applications including NLP, computer vision, recommender systems, and anomaly detection. Every chapter pairs concept explanations with a hands-on Python lab, exam-style practice questions with detailed rationale for each wrong answer, and a list of the specific traps experienced candidates fall into. The final chapter is a full 90-question, 165-minute exam simulation with a domain-by-domain time-management plan.

This course is created by Aseem Mankotia, drawing on real applied data-science practice to translate the DataX objectives into practical, exam-focused preparation. Because CompTIA periodically updates exam objectives, question counts, delivery format, fees, and scoring methodology, always confirm the current details on the official CompTIA DataX (DY0-001) page before registering.

AI content disclosure: This course was produced with the assistance of artificial intelligence tools. Lecture narration is AI-voice generated, and lecture scripts, slides, and practice questions were drafted with AI assistance, then reviewed and curated by the instructor for technical accuracy and alignment with the official DY0-001 exam guide.