SAS Certified Advanced Analytics Professional Using SAS 9 Practice Exam

The SAS Certified Advanced Analytics Professional Using SAS 9 certification is designed for individuals who have a strong foundation in analytics and wish to demonstrate their advanced skills in data analysis, predictive modeling, and data mining using SAS software. The certification assess your skills to perform complex analytical tasks, develop statistical models, and implement data-driven solutions. The SAS certification validates your skills in using SAS tools and techniques for deriving insights from data.
Why is SAS Certified Advanced Analytics Professional Using SAS 9 important?

• Validates advanced analytical skills using SAS software.
• Enhances career prospects in data science and analytics roles.
• Demonstrates proficiency in data mining, predictive modeling, and statistical analysis.
• Recognizes expertise in handling large datasets and deriving actionable insights.
• Provides a competitive edge in the job market, as SAS is widely used in various industries.

Who should take the SAS Certified Advanced Analytics Professional Using SAS 9 Exam?

• Data Scientist
• Business Analyst
• Analytics Consultant
• Statistician
• Data Analyst
• Research Scientist

Skills Evaluated

Candidates taking the certification exam on the SAS Certified Advanced Analytics Professional Using SAS 9 is evaluated for the following skills:

• Proficiency in data preparation and manipulation using SAS.
• Knowledge of advanced statistical methods and modeling techniques.
• Ability to implement machine learning algorithms and predictive models.
• Skills in data visualization and presentation of analytical findings.
• Understanding of data management and deployment of analytical solutions.

SAS Certified Advanced Analytics Professional Using SAS 9 Certification Course Outline
The SAS Certified Advanced Analytics Professional Using SAS 9 Certification covers the following topics -

Module 1. Predictive Modeling Using SAS® Enterprise Miner™ 7, 13, or 14 Exam

• Data Sources

• Building Predictive Models

• Predictive Model Assessment and Implementation

• Pattern Analysis

Module 2. SAS® Advanced Predictive Modeling Exam

• Neural Networks

• Logistic Regression

• Predictive Analytics on Big Data

• Open Source Models in SAS

Module 3. SAS® Text Analytics, Time Series, Experimentation and Optimization Exam

• Text Analytics

• Time Series

• Experimentation & Incremental Response Models

• Optimization