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







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