SAS Social and Behavioral Research​ Learning Subscription

For anyone who wants to gain behavioral analytics skills using SAS that can be applied in the areas of social and behavioral science disciplines like sociology, psychology, education, public policy, marketing, applied behavioral science, and social science.
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Purchase this digital subscription to:
Digital courses
Unlimited access to digital courses and books.
Prepare for certification
Unlimited access to certification preparation materials.
Hands-on learning and practice
Get Full access to SAS software to practice as you learn.

About this Subscription

The focus of this learning subscription is on learning how to apply various statistical methods, behavioral analytics, and SAS procedures to analyze human behavior and use past actions to make predictions for the future. Demand for these skills continues to grow and appeals to a wide range of organizations from government agencies, marketing, and financial institutions to major corporations.

Learn how to:

  • Apply a variety of multivariate statistical methods to research and business data and interpret the results.
  • Identify complex and dynamic patterns within multilevel data.
  • Analyze linear mixed models using SAS procedures.
  • Analyze observational data collected over time.
  • Apply SAS procedures for fitting statistical models.
  • Analyze data collected from complex probability surveys.
  • Apply structural equation modeling (SEM) to instances in fields where measurement error, latent variables, and uncertain causal conditions are commonly encountered like social, economic, and behavioral sciences.
  • Understand the results of your analysis and present your conclusions.

    • Before taking these courses, it is recommended that you take the SAS Programming 1: Essentials and Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression courses, which are available in instructor-led or free online e-learning formats. The Statistics 2: ANOVA and Regression course or equivalent knowledge is also helpful.

    Courses Included

    Modeling Techniques

    1

    • COURSE

      Multivariate Statistics for Understanding Complex Data
      SHOW LESS ︿


      ENROLL

    • COURSE

      Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS®
      SHOW LESS ︿


      ENROLL

    • COURSE

      Longitudinal Data Analysis Using Discrete and Continuous Responses
      SHOW LESS ︿


      ENROLL

    • COURSE

      Statistical Analysis with the GLIMMIX Procedure
      SHOW LESS ︿


      ENROLL

    • COURSE

      Probability Surveys 1: Design, Descriptive Statistics, and Analysis
      SHOW LESS ︿


      ENROLL

    • COURSE

      Structural Equation Modeling Using SAS®
      SHOW LESS ︿


      ENROLL

    Integration with Open Source

    2

    • COURSE

      Using Python and R with SAS® Viya® for Advanced Analytics
      SHOW LESS ︿


      ENROLL

    • COURSE

      SAS® Programming for R Users
      SHOW LESS ︿


      ENROLL

    Principles and Best Practices

    3

    • COURSE

      Responsible Innovation and Trustworthy AI
      SHOW LESS ︿
      This course is designed for anyone who wants to gain a deeper understanding about the importance of trust and responsibility in AI, analytics, and innovation. The content is especially geared to those who are making business decisions based on machine learning and AI systems and those who are designing and training AI systems.

      Whether you are a programmer, an executive, an advisory board member, a tester, a manager, or an individual contributor, this course helps you gain foundational knowledge and skills to consider the issues related to responsible innovation and trustworthy AI. Empowered with the knowledge from this course, you can strive to find ways to design, develop, and use machine learning and AI systems more responsibly.

      We expect that each module can be completed in under an hour, and you can work at your own pace to complete the material. As we release new modules, you might lose progress through the material that you have completed, so please make a note of where you are leaving off before exiting the course.

      ENROLL

    SAS Products Covered

    • SAS/STAT
    • SAS Viya
    • SAS Machine Learning
    • SAS/IML
    • Base SAS


    Digital Badges

    Earn a digital badge for each course that you complete and for each credential that you earn. Show off your achievements on your resume and in your social channels to highlight your skills and connect with potential employers.

    Certification Preparation

    This learning subscription is not currently associated with a SAS credential.

    “I think the self-paced training was the BEST I’ve ever taken. The videos were short and segmented correctly to keep my attention and the activities and quizzes were just enough to help my confidence.”

    Tony Mayo, SAS Customer