Certified: The CompTIA DataX Audio Course
Teljes hossz:
12 h 26 min
Welcome to the DataX Audio Course
Certified: The CompTIA DataX Audio Course
01:08
Episode 1 — Welcome to DataX DY0-001 and How This Audio Course Works
Certified: The CompTIA DataX Audio Course
16:22
Episode 2 — How CompTIA DataX Questions Are Built and What They Reward
Certified: The CompTIA DataX Audio Course
16:03
Episode 3 — Reading the Prompt Like an Analyst: Keywords, Constraints, and “Best Next Step”
Certified: The CompTIA DataX Audio Course
18:05
Episode 4 — Performance-Based Questions in Audio: How to Think Without a Keyboard
Certified: The CompTIA DataX Audio Course
16:41
Episode 5 — The Data Science Lifecycle at Exam Level: From Problem to Production
Certified: The CompTIA DataX Audio Course
18:07
Episode 6 — Statistical Foundations: Populations, Samples, Parameters, and Estimates
Certified: The CompTIA DataX Audio Course
17:19
Episode 7 — Hypothesis Testing Basics: Null, Alternative, and What p-Values Really Mean
Certified: The CompTIA DataX Audio Course
18:20
Episode 8 — Type I vs Type II Errors and Why Power Matters in Decisions
Certified: The CompTIA DataX Audio Course
18:59
Episode 9 — Confidence Intervals: Interpretation, Width, and Common Traps
Certified: The CompTIA DataX Audio Course
18:15
Episode 10 — Selecting Tests: t-Test vs Chi-Squared vs ANOVA in Scenarios
Certified: The CompTIA DataX Audio Course
19:15
Episode 11 — Correlation and Association: Pearson vs Spearman vs “No Relationship”
Certified: The CompTIA DataX Audio Course
19:03
Episode 12 — Regression Evaluation: R², Adjusted R², RMSE, and Residual Intuition
Certified: The CompTIA DataX Audio Course
19:56
Episode 13 — Classification Evaluation: Confusion Matrix Thinking Under Pressure
Certified: The CompTIA DataX Audio Course
20:08
Episode 14 — Precision, Recall, F1, and When Accuracy Lies
Certified: The CompTIA DataX Audio Course
19:10
Episode 15 — Thresholding and Tradeoffs: ROC Curves, AUC, and Operating Points
Certified: The CompTIA DataX Audio Course
19:18
Episode 16 — Model Comparison Criteria: AIC, BIC, and Parsimony Without Hand-Waving
Certified: The CompTIA DataX Audio Course
20:20
Episode 17 — Central Limit Theorem: Why Averages Behave and When They Don’t
Certified: The CompTIA DataX Audio Course
19:20
Episode 18 — Law of Large Numbers: Stability, Variance, and Practical Implications
Certified: The CompTIA DataX Audio Course
19:39
Episode 19 — Probability Essentials: Events, Conditional Probability, and Independence
Certified: The CompTIA DataX Audio Course
19:42
Episode 20 — Bayes’ Rule in Plain English: Updating Beliefs With Evidence
Certified: The CompTIA DataX Audio Course
19:36
Episode 21 — Distribution Families: Normal, Uniform, Binomial, Poisson, and t-Distribution
Certified: The CompTIA DataX Audio Course
19:37
Episode 22 — Real-World Distributions: Skew, Heavy Tails, and Power Laws
Certified: The CompTIA DataX Audio Course
19:54
Episode 23 — Shape Descriptors: Skewness and Kurtosis as “Data Personality”
Certified: The CompTIA DataX Audio Course
20:15
Episode 24 — Variance Behavior: Homoskedasticity vs Heteroskedasticity and Why It Matters
Certified: The CompTIA DataX Audio Course
19:33
Episode 25 — PDF, PMF, and CDF: The Three Views of Probability You Must Recognize
Certified: The CompTIA DataX Audio Course
19:36
Episode 26 — Simulation Thinking: Monte Carlo for Uncertainty and Risk
Certified: The CompTIA DataX Audio Course
19:33
Episode 27 — Resampling Methods: Bootstrapping for Confidence Without New Data
Certified: The CompTIA DataX Audio Course
16:42
Episode 28 — Missing Data Types: MCAR vs MAR vs NMAR and Correct Responses
Certified: The CompTIA DataX Audio Course
19:33
Episode 29 — Sampling Strategies: Stratification, Oversampling, and Class Balance
Certified: The CompTIA DataX Audio Course
20:07
Episode 30 — Math for Modeling: Vectors, Matrices, and What Linear Algebra Enables
Certified: The CompTIA DataX Audio Course
18:53
Episode 31 — Matrix Operations You Must Understand: Multiply, Transpose, Invert, Decompose
Certified: The CompTIA DataX Audio Course
20:20
Episode 32 — Eigenvalues and Eigenvectors: The Intuition Behind “Important Directions”
Certified: The CompTIA DataX Audio Course
19:28
Episode 33 — Distance and Similarity Metrics: Euclidean, Manhattan, Cosine, and When to Use
Certified: The CompTIA DataX Audio Course
20:31
Episode 34 — Calculus for ML: Derivatives as “Slope,” Partial Derivatives, and the Chain Rule
Certified: The CompTIA DataX Audio Course
19:29
Episode 35 — Logs and Exponentials: Why They Show Up in Models and Transformations
Certified: The CompTIA DataX Audio Course
19:56
Episode 36 — Time Series Basics: Trend, Seasonality, Noise, and Stationarity
Certified: The CompTIA DataX Audio Course
19:32
Episode 37 — AR, MA, and ARIMA: Choosing the Right Time Series Family
Certified: The CompTIA DataX Audio Course
18:55
Episode 38 — Differencing and Lag Features: Fixing Non-Stationarity Without Overfitting
Certified: The CompTIA DataX Audio Course
19:35
Episode 39 — Survival Analysis Concepts: What “Time to Event” Modeling Solves
Certified: The CompTIA DataX Audio Course
20:30
