Description
Maximize your chances of success on the SAS Certified Specialist: Advanced Predictive Modeling certification exam with this comprehensive practice exam course. Featuring 150 expertly designed questions and in-depth explanations, this course will help you master the key concepts and techniques covered in the exam. Whether you're a seasoned data professional or just starting out in the field, this course will provide you with the knowledge and practice you need to excel on the exam. The course covers the following topics: Neural Networks - 20%Describe key concepts underlying neural networksUse two architectures offered by the Neural Network node to model either linear or non-linear input-output relationshipsUse optimization methods offered by the SAS Enterprise Miner Neural Network node to efficiently search the parameter space in a neural networkConstruct custom network architectures by using the NEURAL procedure (PROC Neural)Based upon statistical considerations, use either time delayed neural networks, surrogate models to augment neural networksUse the HP Neural Node to perform high-speed training of a neural networkLogistic Regression - 30%Score new data sets using the LOGISTIC and PLM proceduresIdentify the potential challenges when preparing input data for a modelUse the DATA step to manipulate data with loops, arrays, conditional statements and functionsImprove the predictive power of categorical inputsScreen variables for irrelevance and non-linear association using the CORR procedureScreen variables for non-linearity using empirical logit plotsApply the principles of honest assessment to model performance measurementAssess classifier performance using the confusion matrixModel selection and validation using training and validation dataCreate and interpret graphs (ROC, lift, and gains charts) for model comparison and selectionEstablish effective decision cut-off values for scoringPredictive Analytics on Big Data - 40%Build and interpret a cluster analysis in SAS Visual StatisticsExplain SAS high-performance computingPerform principal component analysisAnalyze categorical targets using logistic regression in SAS Visual StatisticsAnalyze categorical targets using decision trees in SAS Visual StatisticsAnalyze categorical targets using decision trees in PROC IMSTATAnalyze categorical targets using logistic regression in PROC IMSTATBuild random forest models with PROC IMSTATAnalyze interval targets with SAS Visual StatisticsAnalyze interval targets with PROC IMSTATAnalyze zero inflated models with HPGLM in Enterprise MinerOpen Source Models in SAS - 10%Incorporate an existing R program into SAS Enterprise MinerIncorporate an existing Python program into SAS Enterprise Miner Enroll now and take the first step towards achieving your SAS certification goals."
