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How to Prepare For A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam

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.

SASInstitute A00-240 Exam Overview:

Certification Vendor:SAS Institute
Exam Name:SAS Statistical Business Analysis Using SAS 9: Regression and Modeling
Exam Number:A00-240
Certificate Validity Period:3 years
Exam Price:$180 USD
Related Certifications:SAS Certified Advanced Analytics Professional Using SAS 9
Exam Duration:110 minutes
Available Languages:Chinese (Simplified), Japanese, English
Passing Score:68%
Real Exam Qty:60-65
Exam Format:Short Answer, Multiple Choice
Recommended Training:SAS Statistical Business Analysis Using SAS 9: Regression and Modeling
SAS Exam Content Guide A00-240
Exam Registration:SAS Certification Portal
Pearson VUE Registration
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

A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certified Professional salary

The average salary of a A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certified Expert in

  • India - 8,42,327 INR
  • Europe - 45,347 EURO
  • United State - 70,247 USD
  • England - 46,632 POUND

Reference: https://www.sas.com/en_us/certification/credentials/advanced-analytics/statistical-business-analyst.html

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 Using SAS®9:Regression and Modeling Certification is distinguished among competitors. A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling certification can give them an edge at that time easily when candidates appear for employment interview, employers are very fascinated to note one thing that differentiates the individual from all other candidates.
  • As there's a worldwide requirement for SAS experts, you've got the selection to use for employment in many alternative locations round the world.
  • Freshers will get spectacular pay package and dealing professionals will get guaranteed profession advancement through the SAS accreditation courses.
  • Learning SAS won't cause you to abandon the previous data formats acknowledged by you like Oracle and DB2.
  • You'll simply connect with the worldwide network of SAS consultants and users to exchange knowledge and concepts.
  • A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam provide proven knowledge to use the tools to complete the task efficiently and cost effectively than the other non-certified professionals lack in doing so.
  • 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.
  • A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling certification has more useful and relevant networks that help them in setting career goals for themselves. A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling networks provide them with the correct career guidance than non certified generally are unable to get.
  • A00-240: Statistical Business Analysis improves reasoning power and promotes analytical thinking and research ability of appearing professional.

SASInstitute A00-240 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Analysis of Variance (ANOVA)10%- Analyze factor interactions
- Use PROC GLM for ANOVA
- Assess ANOVA assumptions
- Perform post-hoc tests
Topic 2: Logistic Regression25%- Build models using PROC LOGISTIC
- Select and optimize input variables
- Interpret odds ratios and model coefficients
- Score new datasets with LOGISTIC and PLM
Topic 3: Linear Regression20%- Interpret REG, GLM, and PLM procedure output
- Perform model selection with GLMSELECT
- Fit multiple linear regression models
- Conduct residual and diagnostic analysis
Topic 4: Prepare Inputs for Predictive Modeling20%- Screen variables with CORR procedure and empirical logit plots
- Transform categorical variables
- Identify data preparation challenges
- Manipulate data using DATA step
Topic 5: Measure and Evaluate Model Performance25%- Use confusion matrices and classification metrics
- Apply honest assessment principles
- Determine optimal decision cut-off values
- Create and interpret ROC, lift, and gains charts
- Validate models with training/validation data

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