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SASInstitute A00-480 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Fundamental Statistical Concepts17-21%- Hypothesis testing and confidence intervals
- Probability concepts
- Data types and measurement scales
- Descriptive statistics and distributions
Topic 2: Statistics and Machine Learning9-12%- Relationship between statistical methods and machine learning
Topic 3: Statistical Foundations of Machine Learning18-24%- Model performance metrics
- Bias-variance trade-off
- Cross-validation techniques
- Overfitting and model complexity
Topic 4: Explanatory Modeling Using Linear Regression18-24%- Interpretation of coefficients and output
- Goodness of fit measures
- Simple and multiple linear regression
- Model assumptions and diagnostics
Topic 5: Predictive Modeling Using Logistic Regression25-31%- Interpretation of odds ratios
- Model building and variable selection
- Binary logistic regression model
- Classification metrics and model evaluation

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