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

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.

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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.

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

Topics of A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam

Candidates must know the exam topics before they start of preparation. because it will really help them in hitting the core. Our A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Dumps will include the following topics:

1. ANOVA - 10%

• Analyze differences between population means using the GLM and TTEST procedures
• Perform ANOVA post hoc test to evaluate treatment effect
• Detect and analyze interactions between factors
• Verify the assumptions of ANOVA

2. Linear Regression - 20%

• Assess the validity of a given regression model through the use of diagnostic and residual analysis
• Analyze the output of the REG, PLM, and GLM procedures for multiple linear regression models
• Use the REG or GLMSELECT procedure to perform model selection
• Fit a multiple linear regression model using the REG and GLM procedures

3. Logistic Regression - 25%

• Perform logistic regression with the LOGISTIC procedure
• Interpret the output of the LOGISTIC procedure
• Optimize model performance through input selection
• Score new data sets using the LOGISTIC and PLM procedures

4. Prepare Inputs for Predictive Model Performance - 20%

• Identify the potential challenges when preparing input data for a model
• Screen variables for irrelevance and non-linear association using the CORR procedure
• Use the DATA step to manipulate data with loops, arrays, conditional statements and functions
• Screen variables for non-linearity using empirical logit plots
• Improve the predictive power of categorical inputs

5. Measure Model Performance - 25%

• Model selection and validation using training and validation data
• Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection
• Assess classifier performance using the confusion matrix
• Apply the principles of honest assessment to model performance measurement
• Establish effective decision cut-off values for scoring

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