Exam Code: A00-480
Exam Name: SAS Certified Associate: Applied Statistics for Machine Learning
Updated: Jul 26, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Explanatory Modeling Using Linear Regression | 18-24% | - Interpretation of coefficients and output - Model assumptions and diagnostics - Simple and multiple linear regression - Goodness of fit measures |
| Statistical Foundations of Machine Learning | 18-24% | - Cross-validation techniques - Overfitting and model complexity - Model performance metrics - Bias-variance trade-off |
| Statistics and Machine Learning | 9-12% | - Relationship between statistical methods and machine learning |
| Fundamental Statistical Concepts | 17-21% | - Probability concepts - Descriptive statistics and distributions - Data types and measurement scales - Hypothesis testing and confidence intervals |
| Predictive Modeling Using Logistic Regression | 25-31% | - Model building and variable selection - Binary logistic regression model - Classification metrics and model evaluation - Interpretation of odds ratios |
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