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Who should take the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam
Individuals should pursue the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam if they want to demonstrate their expertise and ability to access and manage data to perform queries and analyses from A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification
- Business Analyst
- Anyone writing & interested in Statistical Business Analysis
- Stastical Analyst, or
The benefits of obtaining A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam Certification
Getting a professional certification in the SAS domain is indeed a wise decision as there are immense benefits of this credential.
- A00-240: Statistical Business Analysis improves reasoning power and promotes analytical thinking and research ability of appearing professional.
- A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling certified professionals will be confident and stand different from others as their skills are more trained than non-certified professionals.
- Learning SAS won't cause you to abandon the previous data formats acknowledged by you like Oracle and DB2.
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A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification Path
The A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification is one of the highest level of certification mainly focussing to the Advanced statistical analysis.
if you pass your exam and meet all requirements for a credential, you will receive an e-mail from SAS within 72 business hours with instructions providing access to your certificate and logo through the SAS Certification Manager. You will also receive an email from Acclaim with access to your digital badge. For questions regarding access to either of these, please visit SAS Website.
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SASInstitute A00-240 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: ANOVA and General Linear Models | - GLM procedures in SAS - One-way and multi-way ANOVA |
| Topic 2: Model Diagnostics and Validation | - Influence and leverage - Goodness-of-fit measures |
| Topic 3: Simple Linear Regression | - Residual analysis - Estimation and inference - Model assumptions and interpretation |
| Topic 4: Logistic Regression | - Model fit and diagnostics - Binary logistic regression |
| Topic 5: Multiple Regression | - Model building and selection - Interaction effects - Multicollinearity diagnostics |




