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SASInstitute A00-273 Exam Syllabus Topics:

Section	Weight	Objectives
SAS Visual Statistics Cross-Functional Tasks	18%	- Prepare data using SAS Visual Analytics - Perform model validation and goodness-of-fit assessment - Filter and subset data for modeling - Use interactive group-by and variable transformation
Building and Assessing Segmentation Models	32%	- Unsupervised segmentation using cluster analysis - Interpret and evaluate cluster results - Assess decision tree performance and splits - Supervised segmentation using decision trees
Building and Assessing Regression-Type Models	40%	- Perform generalized linear regression modeling - Explain linear model concepts - Perform logistic regression modeling - Assess model assumptions and results - Perform linear regression modeling
Model Comparison and Scoring	10%	- Generate and apply model score code - Interpret scoring outputs - Compare multiple models using fit statistics