SAS Prescriptive Analytics​ Learning Subscription

Prescriptive analytics is a form of data analytics that tries to answer, “What do we need to do to achieve this?” It uses machine learning to help businesses decide a course of action based on predictions. These prescriptive analytics courses are ideal for those who want to develop the advanced knowledge and skills necessary to work as a data scientist.
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Unlock digital courses
Unlimited access to digital courses and books in this subscription.
Prepare for certification
Unlimited access to certification preparation materials.
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Earn a digital badge for each completed course.
Hands-on learning and practice
Get Full access to SAS software to practice as you learn.

About this Subscription

This learning subscription is designed to help SAS analysts cut through uncertainty by simulating the probability of various outcomes. Analysts can then assess the worst-case and best-case scenarios and adjust plans accordingly to prevent fraud, reduce risk, and increase efficiency.

Learn how to:

  • Solve linear, mixed integer linear, and nonlinear optimization problems using the OPTMODEL procedure.
  • Formulate and solve mathematical optimization models using the OPTMODEL procedure, from data selection to interpreting results and generating reports.
  • Incorporate network analysis and network optimization to provide solutions and solve real-world business challenges using the NETWORK and OPTNETWORK procedures on the SAS Viya platform.
  • Use matrix algebra, simulate data, write custom statistical analyses, or work with R from SAS/IML.
  • Use discrete-event simulation models as a way to understand and analyze complex real-world systems. The models can then be used to look at various changes to the processes to determine the impacts those changes might have.
  • Courses Included in Subscription

    Prescriptive Analytics

    1
    • COURSE

      Optimization Concepts for Data Science and Artificial Intelligence
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      This course focuses on linear, nonlinear, and mixed integer linear optimization concepts in SAS Viya. Students learn how to formulate optimization problems and how to make their formulations efficient by using index sets and arrays. The demonstrations in the course include examples of diet formulation and portfolio optimization. Learn the OPTMODEL procedure and open-source tools to formulate and solve optimization problems.

    • COURSE

      Optimization Concepts for Data Science
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      This course focuses on linear, nonlinear, and efficiency optimization concepts. You learn how to formulate optimization problems and how to make their formulations efficient by using index sets and arrays. The demonstrations in the course include examples of data envelopment analysis and portfolio optimization. The OPTMODEL procedure is used to solve optimization problems that reinforce concepts introduced in the course.

      The e-learning format of this course includes Virtual Lab time to practice.


    • COURSE

      Network Analysis and Network Optimization in SAS® Viya®
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      This course provides a set of network analysis and network optimization solutions using the NETWORK and OPTNETWORK procedures in SAS Viya. Real-world applications are emphasized for each algorithm introduced in this course, including using network analysis as a stand-alone unsupervised learning technique, as well as incorporating network analysis and optimization to augment supervised learning techniques to improve machine learning model performance through input/feature creation.

    • COURSE

      Operations Research with SAS® Optimization
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    • COURSE

      Programming with SAS/IML® Software
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      This course teaches you how to use the IML procedure via the programming language. You benefit from this course if you plan to use SAS/IML for manipulating matrices, simulating data, writing custom statistical analyses, or working with R. The programs in this course require SAS/IML 12.3 or later to run.

      The self-study e-learning includes:

      • Annotatable course notes in PDF format.
      • Virtual lab time to practice.


    • COURSE

      Discrete-Event Simulation with SAS® Simulation Studio
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      This course is for analysts who need to use discrete-event simulation in order to model complex systems that are difficult or impossible to model using traditional analytical techniques. Discrete-event simulation models dynamic systems whose state changes only when distinct, discrete events occur. The simulation models can then be used to look at various changes to the processes to determine the impacts that those changes might have.

      The self-study e-learning includes:

      • Annotatable course notes in PDF format.
      • Virtual Lab time to practice.


    SAS Products Covered

    • SAS Optimization
    • SAS/OR
    • SAS Viya
    • SAS/IML
    • SAS/STAT
    • SAS Simulation Studio


    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