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Certified: The CompTIA DataX Audio Course

by Dr. Jason Edwards

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Latest episodes

Episode 12 — Regression Evaluation: R², Adjusted R², RMSE, and Residual Intuition

January 24, 2026 · 20 min

This episode teaches how the exam expects you to evaluate regression models: not by memorizing metric names, but by understanding what each metric emphasizes and how to detect problems using residual thinking. You will define R² as the…
Episode 11 — Correlation and Association: Pearson vs Spearman vs “No Relationship”

January 24, 2026 · 19 min

This episode explains correlation and association in a way that helps you avoid common exam mistakes, especially confusing correlation strength with causation, and choosing the wrong correlation measure for the data. You will define…
Episode 10 — Selecting Tests: t-Test vs Chi-Squared vs ANOVA in Scenarios

January 24, 2026 · 19 min

This episode gives you a scenario-driven method for choosing among common statistical tests the exam expects you to recognize, focusing on what each test answers and what data conditions make it appropriate. You will learn to classify…
Episode 9 — Confidence Intervals: Interpretation, Width, and Common Traps

January 24, 2026 · 18 min

This episode teaches confidence intervals as an estimation tool, emphasizing interpretation and decision use rather than formula memorization, because DataX questions often test whether you understand what intervals do and do not claim…
Episode 8 — Type I vs Type II Errors and Why Power Matters in Decisions

January 24, 2026 · 19 min

This episode explains error types and statistical power as decision tradeoffs, which is exactly how the DataX exam tends to frame them: not as memorized definitions, but as consequences you must manage in a scenario. You will define a Type…

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Episode 7 — Hypothesis Testing Basics: Null, Alternative, and What p-Values Really Mean

January 24, 2026 · 18 min

This episode builds the hypothesis testing vocabulary and decision logic that appears repeatedly in DataX questions, especially when you must justify whether an observed effect is likely to be real or just sampling noise. You will define…
Episode 6 — Statistical Foundations: Populations, Samples, Parameters, and Estimates

January 24, 2026 · 17 min

This episode refreshes the statistical foundation that DataX scenarios assume you can use fluently: the distinction between populations and samples, what parameters represent, and how estimates are constructed and interpreted under…
Episode 5 — The Data Science Lifecycle at Exam Level: From Problem to Production

January 24, 2026 · 18 min

This episode covers the data science lifecycle as the exam expects you to understand it: an end-to-end sequence from defining the problem through deployment and ongoing monitoring, with clear responsibilities and failure points at each…
Episode 4 — Performance-Based Questions in Audio: How to Think Without a Keyboard

January 24, 2026 · 17 min

This episode prepares you for performance-based questions by teaching an internal, stepwise problem-solving method that works without typing, tooling, or visual aids. You will learn to treat PBQs as structured tasks that test process…
Episode 3 — Reading the Prompt Like an Analyst: Keywords, Constraints, and “Best Next Step”

January 24, 2026 · 18 min

This episode builds the analyst mindset for reading DataX prompts: extracting decision-driving keywords, honoring constraints, and selecting the best next step rather than the most impressive technique. You will define what counts as a…
Episode 2 — How CompTIA DataX Questions Are Built and What They Reward

January 24, 2026 · 16 min

This episode explains the mechanics behind CompTIA DataX question design so you can target what the exam actually rewards: disciplined interpretation, defensible tradeoffs, and correct method selection under constraints. You will learn to…
Episode 1 — Welcome to DataX DY0-001 and How This Audio Course Works

January 24, 2026 · 16 min

This episode orients you to the DataX DY0-001 exam and sets the operational approach for learning complex analytics and machine learning concepts through audio only. You will define what “exam readiness” means in this context: recognizing…

Full episode archive on Apple Podcasts →

About the show

This DataX DY0-001 PrepCast is an exam-focused, audio-first course designed to train analytical judgment rather than rote memorization, guiding you through the full scope of the CompTIA DataX exam exactly the way the test expects you to think. The course builds from statistical and mathematical foundations into exploratory analysis, feature design, modeling, machine learning, and business integration, with each episode reinforcing how to interpret scenarios, recognize constraints, select defensible methods, and avoid common traps such as leakage, metric misuse, and misaligned objectives. Concepts are explained in clear, structured language without reliance on visuals, code, or tools, making the material accessible during commutes or focused listening sessions while still remaining technically precise and exam-relevant. Throughout the series, emphasis is placed on decision-making under uncertainty, operational realism, governance and compliance considerations, and translating analytical results into business-aligned outcomes, ensuring you are prepared not only to answer DataX questions correctly, but to justify why the chosen answer is the best next step in real-world data and analytics environments.