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According to SAS, SAS® Certified Statistical Business Analyst for SAS®9 this credentials signifies the upper echelon of SAS programmers who demonstrate a high level of proficiency in SAS® programming expertise.
A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam is a certification exam that is conducted by Google to validates candidate knowledge and skills of working as a Statistical Business Analyst in the Company.
A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling exam covers the basic and advanced concepts of variance analysis, linear and logistic regression, preparing inputs for predictive models and measuring model performance.
After passing this exam, candidates get a certificate from SAS that helps them to demonstrate their proficiency in A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling to their clients and employers.
Preparation Guide for A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam
Introduction
SAS (previously “Statistical Analysis System”) may be a package suite designed by SAS Institute for advanced analytics, variable analyses, business intelligence, knowledge management, and prognosticative analytics.
A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling exam is administered by SAS and Pearson VUE. has created a track for IT professionals to certify as business analyst on SAS. This certification program provides SAS professionals a way to demonstrate their skills. The assessment is based on a rigorous exam using industry standard methodology to determine whether a candidate meets SAS's proficiency standards.
SAS® Certified Statistical Business Analyst for SAS®9 this credential is for professionals who use SAS/STAT® software to conduct and interpret complex statistical data analysis.
In this guide, we will cover the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam, A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certified professional's salary and all aspects of the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification.
The SAS international Certification Program currently issues versioned accreditation that don't lapse.The version is indicated in the credential name.
The average salary of a A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certified Expert in
| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | SAS Statistical Business Analysis Using SAS 9: Regression and Modeling |
| Exam Number: | A00-240 |
| Available Languages: | Chinese (Simplified), English, Japanese |
| Passing Score: | 68% |
| Related Certifications: | SAS Certified Advanced Analytics Professional Using SAS 9 |
| Exam Price: | $180 USD |
| Exam Duration: | 110 minutes |
| Real Exam Qty: | 60-65 |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple Choice, Short Answer |
| Recommended Training: | SAS Statistical Business Analysis Using SAS 9: Regression and Modeling SAS Exam Content Guide A00-240 |
| Exam Registration: | Pearson VUE Registration SAS Certification Portal |
| Sample Questions: | SASInstitute A00-240 Sample Questions |
| Exam Way: | Computer-based testing at Pearson VUE centers or online proctored |
| Pre Condition: | No formal prerequisites; recommended knowledge of SAS programming and basic statistics |
| Official Syllabus URL: | https://www.sas.com/en_us/certification/credentials/advanced-analytics/statistical-business-analyst.html |
| Section | Weight | Objectives |
|---|---|---|
| Prepare Inputs for Predictive Modeling | 20% | - Manipulate data using DATA step - Transform categorical variables - Screen variables with CORR procedure and empirical logit plots - Identify data preparation challenges |
| Linear Regression | 20% | - Fit multiple linear regression models - Interpret REG, GLM, and PLM procedure output - Conduct residual and diagnostic analysis - Perform model selection with GLMSELECT |
| 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 |
| Measure and Evaluate Model Performance | 25% | - Apply honest assessment principles - Use confusion matrices and classification metrics - Validate models with training/validation data - Create and interpret ROC, lift, and gains charts - Determine optimal decision cut-off values |
| Analysis of Variance (ANOVA) | 10% | - Analyze factor interactions - Perform post-hoc tests - Use PROC GLM for ANOVA - Assess ANOVA assumptions |
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