SAS Training in Oakbrook Terrace,

 

What is SAS

SAS (Statistical Analysis System) is a powerful and comprehensive software suite developed by SAS Institute for advanced analytics, multivariate analysis, business intelligence, data management, and predictive analytics. SAS is widely used across industries such as finance, healthcare, education, government, and manufacturing for its robust capabilities in data analysis and reporting.

 

Key Features of SAS

• Data Management:
  • SAS provides tools for data extraction, transformation, and loading (ETL).
  • It supports various data formats, including spreadsheets, databases, and cloud-based data sources.
• Statistical Analysis:
  • SAS is renowned for its advanced statistical capabilities, such as regression analysis, hypothesis testing, and predictive modeling.
  • It includes procedures for analyzing both structured and unstructured data.
• Data Visualization:
  • SAS offers graphical capabilities for creating charts, plots, and dashboards to represent data visually.
  • SAS Visual Analytics is a dedicated tool for interactive data exploration.
• Machine Learning and AI:
  • It provides tools for machine learning algorithms, natural language processing, and neural networks.
  • These features are crucial for building and deploying predictive models.
• Business Intelligence:
  • SAS delivers comprehensive reporting and analytics for business decision-making.
  • Its integration with other platforms, like Microsoft Office, enhances usability for business users.
• Data Security:
  • SAS ensures data integrity and security through user authentication and encryption.
  • It complies with global data protection regulations.
• Integration and Compatibility:
  • SAS integrates seamlessly with programming languages like Python and R.
  • It also works with modern cloud-based systems and APIs.

Use Cases of SAS

• Healthcare: Clinical trial analysis, patient outcome predictions.
• Banking and Finance: Risk management, fraud detection, customer segmentation.
• Retail: Sales forecasting, inventory management, customer behavior analysis.
• Government: Tax fraud detection, policy impact assessment.

Advantages of SAS

• Reliability and Scalability: Trusted by enterprises for handling large datasets efficiently.
• Comprehensive Support: Extensive documentation, training, and support from SAS Institute.
• Customizability: Users can write custom scripts for specific needs.

Disadvantages of SAS

• Cost: Licensing fees can be expensive compared to open-source alternatives like R or Python.
• Learning Curve: Steeper learning curve for beginners, although extensive training is available.

 

SAS Certifications Available in 2024

As of November 2024, SAS offers a comprehensive suite of globally recognized certifications designed to validate expertise across various domains, including programming, data science, advanced analytics, and more. Below is a detailed summary of the available certifications:

1. Programming Certifications:

• SAS Certified Associate: Programming Fundamentals Using SAS 9.4
  • Target Audience: Individuals new to SAS programming.
  • Focus: Basic programming concepts and data manipulation techniques.
• SAS Certified Specialist: Base Programming Using SAS 9.4
  • Target Audience: Professionals with foundational SAS programming skills.
  • Focus: Data manipulation, analysis, and reporting using SAS.
• SAS Certified Professional: Advanced Programming Using SAS 9.4
  • Target Audience: Experienced SAS programmers.
  • Focus: Advanced data manipulation techniques, macro programming, and SQL.

2. Data Science and Advanced Analytics Certifications:

• SAS Certified Specialist: Machine Learning Using SAS Viya
  • Target Audience: Data scientists and analysts.
  • Focus: Implementing machine learning models using SAS Viya.
• SAS Certified Professional: AI and Machine Learning
  • Target Audience: Advanced data science professionals.
  • Focus: Comprehensive AI and machine learning techniques.
• SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling
  • Target Audience: Statistical analysts.
  • Focus: Regression analysis and predictive modeling.

3. Data Management and Business Intelligence Certifications:

• SAS Certified Specialist: Visual Business Analytics
  • Target Audience: Business analysts.
  • Focus: Data visualization and business intelligence using SAS tools.
• SAS Certified Data Integration Developer for SAS 9
  • Target Audience: Data integration developers.
  • Focus: Data integration and ETL processes.

4. Administration Certifications:

• SAS Certified Platform Administrator for SAS 9
  • Target Audience: System administrators.
  • Focus: Managing and administering SAS environments.

5. Specialized Certifications:

• SAS Certified Model Risk Manager
  • Target Audience: Risk management professionals.
  • Focus: Model risk management practices.
• SAS Certified Specialist: Natural Language Processing and Computer Vision
  • Target Audience: AI specialists.
  • Focus: Implementing NLP and computer vision solutions.

For detailed information on each certification, including exam objectives, preparation materials, and scheduling, please visit the SAS Global Certification Program.

 

 

Jobs That Use SAS

1. Data Analyst

• Responsibilities:
• Extracting and cleaning data from databases using SAS.
• Performing statistical analysis to identify trends and insights.
• Preparing detailed reports and visualizations for stakeholders.

2. Clinical SAS Programmer

• Responsibilities:
• Developing and validating SAS programs for clinical trials.
• Preparing datasets according to clinical study protocols.
• Generating statistical outputs like tables, listings, and graphs.

3. Business Intelligence Analyst

• Responsibilities:
• Designing dashboards and reporting tools using SAS Visual Analytics.
• Analyzing business data to identify patterns and opportunities.
• Collaborating with business teams to support decision-making processes.

4. Data Scientist

• Responsibilities:
• Building predictive models using SAS and other tools.
• Working on machine learning algorithms for data-driven insights.
• Integrating SAS with big data platforms for advanced analytics.

5. Statistician

• Responsibilities:
• Applying statistical techniques to analyze experimental data.
• Conducting hypothesis testing and regression analysis using SAS.
• Providing statistical consultancy for academic or business projects.

6. Risk Analyst

• Responsibilities:
• Assessing financial risks by analyzing large datasets using SAS.
• Developing models to predict and mitigate risks.
• Reporting findings to support risk management strategies.

 

 

We offer live-instructor group training classes for your team.

Upskill your team from the comfort of your office or online.

Benefits of Group Training Include:

• Experienced Professional Instructor Trains Your Team
• Content Focused On Your Team's Needs
• Convenient Scheduling and Class Setup
• Significant Per/Student Cost Savings
• Online, On-Site and Blended Options Available

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