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SASInstitute A00-480 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Explanatory Modeling Using Linear Regression18–24%- Regression Techniques
  • 1. Simple and multiple regression models
  • 2. Model fit and selection methods
Topic 2: Fundamental Statistical Concepts17–21%- Descriptive and Inferential Statistics
  • 1. Confidence intervals and hypothesis testing
  • 2. Sampling and distributions
Topic 3: Predictive Modeling Using Logistic Regression25–31%- Logistic Regression
  • 1. Binary outcome modeling
  • 2. Assessment of model performance
Topic 4: Statistical Foundations of Machine Learning18–24%- Machine Learning Basics
  • 1. Supervised vs unsupervised learning
  • 2. Data preprocessing and feature scaling
Topic 5: Statistics and Machine Learning Fundamentals9–12%- Relevance of Statistics in Machine Learning
  • 1. Types of data and analysis
  • 2. Differences between machine learning and classical statistics

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