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SASInstitute A00-255 Certification Exam consists of 70 multiple-choice and short-answer questions that must be completed within 2 hours and 30 minutes. A00-255 exam evaluates the candidate's knowledge of SAS Enterprise Miner and predictive modeling concepts such as data preparation, variable selection, model building, and model assessment.
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SAS Enterprise Miner is a powerful data mining tool that enables organizations to leverage data to gain insights into customer behavior, identify patterns, and predict future outcomes. The A00-255 certification exam covers a range of topics related to predictive modeling, including data preparation, variable selection, model building, model deployment, and model assessment. Candidates will be tested on their understanding of these topics and their ability to apply them in real-world scenarios.
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SASInstitute A00-255 exam consists of multiple-choice questions that cover various topics related to predictive modeling, including data preparation, variable selection, model assessment, and deployment. SAS Predictive Modeling Using SAS Enterprise Miner 14 certification program is suitable for data analysts, statisticians, and data scientists who want to enhance their skills in data mining and predictive modeling.
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| Section | Objectives |
|---|---|
| Topic 1: Exploratory Data Analysis | - Descriptive statistics and data profiling - Visualization techniques for pattern discovery |
| Topic 2: Data Understanding and Preparation | - Data cleaning and preprocessing - Feature selection and transformation - Handling missing values and outliers - Data collection and data source identification |
| Topic 3: Model Evaluation and Validation | - Validation and cross-validation techniques - Model comparison and selection - Model performance metrics |
| Topic 4: Model Implementation and Deployment | - Monitoring model performance in production - Model scoring and deployment in SAS Enterprise Miner |
| Topic 5: Business Understanding and Analytical Framework | - Translate business problems into data mining tasks - Define business objectives and analytics goals |
| Topic 6: Model Development | - Decision trees and ensemble methods - Regression modeling techniques - Neural networks and advanced modeling in SAS Enterprise Miner |
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