SAS Certified Advanced Analytics Professional

Certification Overview

The SAS Certified Advanced Analytics Professional credential validates a candidate’s ability to use a broad range of advanced statistical and machine learning techniques using SAS software. It is part of the SAS Certified Advanced Analytics Professional Program, which includes hands-on training and multiple certifications that collectively prove expertise in predictive modeling, text analytics, experimentation, and optimization.

This certification demonstrates that you can solve complex business problems, handle big data, and deploy models in real-world environments using the SAS platform.

Target Audience

• Data scientists and data analysts

• Statisticians and quantitative researchers

• Professionals working in finance, healthcare, marketing, or government analytics

• Anyone looking to prove advanced-level skills in applied analytics using SAS

Skills Validated

Candidates must demonstrate the ability to:

• Build and assess predictive models using logistic and linear regression, decision trees, and neural networks

• Perform model validation and selection

• Use unsupervised learning techniques like clustering and dimension reduction

• Apply text analytics and natural language processing (NLP)

• Conduct experimental design and optimization modeling

• Use time series forecasting and simulation methods

• Work with large-scale data using SAS Enterprise Miner and SAS Viya

Exams Required

The certification requires passing two core exams:

1. Predictive Modeling Using SAS Enterprise Miner (A00-255)

• Covers data exploration, predictive modeling, decision trees, regression, and model assessment

2. Advanced Predictive Modeling Using SAS® Enterprise Miner™ (A00-272)

• Includes ensemble models, gradient boosting, support vector machines, and model comparison

These exams may be bundled with instructor-led training or taken independently by experienced SAS users.

Recommended Training

SAS offers an Advanced Analytics Professional Learning Path, which includes 8 courses:

1. Applied Analytics Using SAS® Enterprise Miner

2. Predictive Modeling Using Logistic Regression

3. Neural Networks

4. Decision Trees

5. Text Analytics

6. Experimental Design

7. Optimization Techniques

8. Time Series Forecasting

Training is available online, in-person, or on-demand, depending on your region.

Exam Details

• Exam Format: Multiple-choice, interactive questions

• Delivery: Pearson VUE (online or test center)

• Cost: ~$180 USD per exam (varies by country)

• Prerequisites:

  • Prior experience using SAS

  • Understanding of statistics, regression, and data prep

Tools & Technologies Covered

• SAS Enterprise Miner

• SAS Viya

• SAS Studio

• Base SAS programming

• Machine learning models

• Optimization and forecasting procedures

Certification Benefits

• Globally recognized proof of advanced SAS analytics skills

• Qualifies you for senior-level roles in data science, analytics, and forecasting

• Demonstrates proficiency in data mining, machine learning, and modeling techniques

• Enhances your value to employers using SAS-based infrastructure

• Access to SAS’s exclusive certification community and job board

Career Paths It Supports

• Senior Data Scientist

• Advanced Analytics Consultant

• Predictive Modeler

• Business Intelligence Analyst

• Quantitative Researcher

• Risk Analyst in Finance, Insurance, or Healthcare

Next Steps

You may also consider:

• SAS Certified Data Scientist (includes both data manipulation and modeling)

• SAS Viya Programming Associate (for cloud-based SAS analytics)

• Certifications in Python/R/Machine Learning to complement SAS expertise