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SAS Institute A00-225 Exam Reference
SASInstitute A00-225 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Logistic Regression | 30% | - Interpret ROC, lift and gains charts - Score new data using LOGISTIC and PLM procedures - Prepare input data and handle categorical variables - Variable screening and model selection |
| Neural Networks | 20% | - Use architectures for linear and non-linear modeling - Apply optimization methods for network training - Construct custom network architectures - Describe key concepts underlying neural networks |
| Predictive Analytics on Big Data | 40% | - Perform cluster analysis and principal component analysis - Build random forest models - Analyze categorical and interval targets using SAS Visual Statistics - Use PROC IMSTAT and high-performance analytics |
| Open Source Models in SAS | 10% | - Incorporate R programs into SAS Enterprise Miner - Incorporate Python programs into SAS Enterprise Miner |








