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The A00-240 certification is an excellent way to demonstrate one's proficiency in SAS statistical analysis and modeling. It is recognized globally and is highly valued in the industry. The SASInstitute offers several other certifications that build upon the skills and knowledge validated by the A00-240 exam, such as the SAS Certified Advanced Analytics Professional and the SAS Certified Data Scientist. These certifications allow individuals to demonstrate their expertise in specific areas of SAS and advance their careers in data science and analytics.
To prepare for the SASInstitute A00-240 certification exam, candidates should have a solid foundation in statistics and be familiar with SAS software. There are a variety of study materials available, including online courses, textbooks, and practice exams. Candidates may also want to consider attending a SAS training course to gain hands-on experience with the software.
SASInstitute A00-240 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Logistic Regression | 25% | - Interpret odds ratios and model coefficients - Score new datasets with LOGISTIC and PLM - Build models using PROC LOGISTIC - Select and optimize input variables |
| Topic 2: Linear Regression | 20% | - Conduct residual and diagnostic analysis - Interpret REG, GLM, and PLM procedure output - Perform model selection with GLMSELECT - Fit multiple linear regression models |
| Topic 3: Prepare Inputs for Predictive Modeling | 20% | - Identify data preparation challenges - Screen variables with CORR procedure and empirical logit plots - Manipulate data using DATA step - Transform categorical variables |
| Topic 4: Analysis of Variance (ANOVA) | 10% | - Perform post-hoc tests - Use PROC GLM for ANOVA - Analyze factor interactions - Assess ANOVA assumptions |
| Topic 5: Measure and Evaluate Model Performance | 25% | - Validate models with training/validation data - Apply honest assessment principles - Determine optimal decision cut-off values - Use confusion matrices and classification metrics - Create and interpret ROC, lift, and gains charts |
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