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SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 Practice Exam

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SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 Practice Exam

The SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 certification is designed for professionals who wish to demonstrate their proficiency in using SAS Visual Statistics for data visualization and predictive modeling. This certification validates the ability to build, validate, and interpret advanced models using visual analytics techniques. The ceyrtification assess your skills in the SAS Visual Statistics environment to explore data, create visualizations, and deploy statistical models effectively. The certification attests to your skill set in visual data analysis and modeling especially for data analysts, data scientists, and business intelligence professionals.
Why is SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 important?

  • Validates expertise in data visualization and predictive modeling using SAS Visual Statistics.
  • Enhances career opportunities in data analytics and business intelligence roles.
  • Demonstrates the ability to create impactful visual representations of data.
  • Recognizes proficiency in building, assessing, and interpreting advanced statistical models.
  • Provides a competitive edge in industries focused on data-driven insights and decision-making.

Who should take the SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 Exam?

  • Data Analyst
  • Business Intelligence Analyst
  • Data Scientist
  • Predictive Modeler
  • Analytics Consultant
  • Market Research Analyst

Skills Evaluated

Candidates taking the certification exam on the SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 is evaluated for the following skills:

  • Ability to use SAS Visual Statistics for data exploration and visualization.
  • Proficiency in building and validating predictive models.
  • Knowledge of statistical methods and visual analytics techniques.
  • Skills in interpreting model results and communicating findings effectively.
  • Understanding of data preparation and preprocessing for visual analytics.

SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 Certification Course Outline
The SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 Certification covers the following topics -

Module 1. SAS visual statistics cross-functional tasks

  • Prepare data using SAS Visual Analytics
  • Filter data used for a model
  • Use interactive group-by

Module 2. Building and assessing segmentation models

  • Perform unsupervised segmentation using cluster analysis
  • Analyze cluster results
  • Perform supervised segmentation using decision trees
  • Asses decision tree results

Module 3. Building and assessing regression-type models

  • Explain linear models
  • Perform linear regression modeling
  • Perform generalized linear regression modeling
  • Perform logistic regression modeling
  • Assess model results

Module 4. Model comparison and scoring

  • Compare Models
  • Score Models


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SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 Practice Exam

SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 Practice Exam

  • Test Code:10328-P
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  • $11.99

  • Ex Tax:$11.99


SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 Practice Exam

The SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 certification is designed for professionals who wish to demonstrate their proficiency in using SAS Visual Statistics for data visualization and predictive modeling. This certification validates the ability to build, validate, and interpret advanced models using visual analytics techniques. The ceyrtification assess your skills in the SAS Visual Statistics environment to explore data, create visualizations, and deploy statistical models effectively. The certification attests to your skill set in visual data analysis and modeling especially for data analysts, data scientists, and business intelligence professionals.
Why is SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 important?

  • Validates expertise in data visualization and predictive modeling using SAS Visual Statistics.
  • Enhances career opportunities in data analytics and business intelligence roles.
  • Demonstrates the ability to create impactful visual representations of data.
  • Recognizes proficiency in building, assessing, and interpreting advanced statistical models.
  • Provides a competitive edge in industries focused on data-driven insights and decision-making.

Who should take the SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 Exam?

  • Data Analyst
  • Business Intelligence Analyst
  • Data Scientist
  • Predictive Modeler
  • Analytics Consultant
  • Market Research Analyst

Skills Evaluated

Candidates taking the certification exam on the SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 is evaluated for the following skills:

  • Ability to use SAS Visual Statistics for data exploration and visualization.
  • Proficiency in building and validating predictive models.
  • Knowledge of statistical methods and visual analytics techniques.
  • Skills in interpreting model results and communicating findings effectively.
  • Understanding of data preparation and preprocessing for visual analytics.

SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 Certification Course Outline
The SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 Certification covers the following topics -

Module 1. SAS visual statistics cross-functional tasks

  • Prepare data using SAS Visual Analytics
  • Filter data used for a model
  • Use interactive group-by

Module 2. Building and assessing segmentation models

  • Perform unsupervised segmentation using cluster analysis
  • Analyze cluster results
  • Perform supervised segmentation using decision trees
  • Asses decision tree results

Module 3. Building and assessing regression-type models

  • Explain linear models
  • Perform linear regression modeling
  • Perform generalized linear regression modeling
  • Perform logistic regression modeling
  • Assess model results

Module 4. Model comparison and scoring

  • Compare Models
  • Score Models