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SASInstitute A00-480 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Statistical Foundations of Machine Learning	18–24%	- Machine Learning Basics 1. Data preprocessing and feature scaling 2. Supervised vs unsupervised learning
Topic 2: Fundamental Statistical Concepts	17–21%	- Descriptive and Inferential Statistics 1. Sampling and distributions 2. Confidence intervals and hypothesis testing
Topic 3: Statistics and Machine Learning Fundamentals	9–12%	- Relevance of Statistics in Machine Learning 1. Differences between machine learning and classical statistics 2. Types of data and analysis
Topic 4: Predictive Modeling Using Logistic Regression	25–31%	- Logistic Regression 1. Binary outcome modeling 2. Assessment of model performance
Topic 5: Explanatory Modeling Using Linear Regression	18–24%	- Regression Techniques 1. Simple and multiple regression models 2. Model fit and selection methods