SAS Advanced Analytics Professional Subscription

For analysts who want to expand their skillset by learning analytical modeling, machine learning, experimentation, forecasting, and optimization.
Purchase this digital subscription to:
Unlock digital courses
Unlimited access to digital courses and books in this subscription.
Prepare for certification
Unlimited access to certification preparation materials.
Shareable digital badges
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



The Advanced Analytics Professional program includes nine training courses. The paid learning subscription also includes 100 hours of cloud software access to practice and the ability to earn nine digital course badges in a 12-month license. You will learn a variety of machine learning and predictive modeling techniques as well as how to apply the techniques to big distributed and in-memory data sets. Experimentation in business, optimization, and time series forecasting is also addressed.

Learn how to:
  • Apply machine learning and predictive modeling techniques to big distributed and in-memory data sets.
  • Detect patterns in your data.
  • Set up and run business experiments.
  • Optimize your data.
  • Use time-series forecasting techniques.
  • Effectively communicate results and recommendations to executive-level management.


  • To enroll in the Advanced Analytics certification program, you need at least six months of programming experience in SAS or another programming language and at least six months of experience using mathematics or statistics (or both) in a business environment. A master's degree or higher in a quantitative or technical field is recommended but not required. We also recommend that you first complete the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course, which is available as an instructor-led or free online e-learning course.

    Courses Included in Subscription

    SAS Predictive Modeler Certification

    1
    • COURSE

      Applied Analytics Using SAS® Enterprise Miner™
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      This course covers the skills that are required to assemble analysis flow diagrams using the rich tool set of SAS Enterprise Miner for both pattern discovery (segmentation, association, and sequence analyses) and predictive modeling (decision tree, regression, and neural network models). This course is appropriate for SAS Enterprise Miner 5.3 up to the current release.

    • CERTIFICATION PREP

      Practice Exam: Predictive Modeling Using SAS Enterprise Miner 14
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    SAS Advanced Predictive Modeling Certification

    2
    • COURSE

      Predictive Modeling Using Logistic Regression
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      This course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure. This course also discusses selecting variables and interactions, recoding categorical variables based on the smooth weight of evidence, assessing models, treating missing values, and using efficiency techniques for massive data sets.

    • COURSE

      Neural Network Modeling
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      This course helps you understand and apply two popular artificial neural network algorithms: multi-layer perceptrons and radial basis functions. Both the theoretical and practical issues of fitting neural networks are covered. Specifically, this course teaches you how to choose an appropriate neural network architecture, how to determine the relevant training method, how to implement neural network models in a distributed computing environment, and how to construct custom neural networks using the NEURAL procedure.

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

    • COURSE

      Data Mining Techniques: Predictive Analytics on Big Data
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      This course introduces applications and techniques for assaying and modeling large data. The course also presents basic and advanced modeling strategies, such as group-by processing for linear models, random forests, generalized linear models, and mixture distribution models. Students perform hands-on exploration and analyses using tools such as SAS Enterprise Miner, SAS Visual Statistics, and SAS In-Memory Statistics.

    • COURSE

      Using SAS® to Put Open Source Models into Production
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      This course introduces the basics for integrating R programming and Python scripts into SAS Enterprise Miner. Topics are presented in the context of data mining, which includes data exploration, model prototyping, and supervised and unsupervised learning techniques.

    • CERTIFICATION PREP

      Practice Exam: SAS Advanced Predictive Modeling
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      This exam is designed for analysts who are creating advanced predictive models using big data. Successful candidates should have experience in the following areas:

      • Deploying open-source models in SAS.
      • Using machine learning and predictive modeling techniques.
      • Applying machine learning and predictive modeling techniques to big, distributed and in-memory data sets.



    SAS Text Analytics, Time Series, Experimentation and Optimization

    3
    • COURSE

      Text Analytics Using SAS® Text Miner
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      This course describes the functionality of SAS Text Miner, which is a separately licensed component that is available for SAS Enterprise Miner. In this course, you learn to use SAS Text Miner to uncover underlying themes or concepts contained in large document collections, automatically group documents into topical clusters, classify documents into predefined categories, and integrate text data with structured data to enrich predictive modeling endeavors.

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

    • COURSE

      Time Series Modeling Essentials
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      This course discusses the fundamentals of modeling time series data. The course focuses on the applied use of the three main model types used to analyze univariate time series: exponential smoothing, autoregressive integrated moving average with exogenous variables (ARIMAX), and unobserved components (UCM).

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

    • COURSE

      Experimentation in Data Science
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      This course explores the essentials of experimentation in data science, why experiments are central to any data science efforts, and how to design efficient and effective experiments.

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

    • 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.

    • CERTIFICATION PREP

      Practice Exam: Text Analytics, Time Series, Experimentation and Optimization
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      This credential is for individuals who want to analyze big data with a variety of statistical analysis and predictive modeling techniques. Successful candidates should have experience in the following areas:

      • Text analytics
      • Experiment design for business
      • Optimization techniques
      • Time series forecasting



    SAS Products Covered

    • SAS Enterprise Miner
    • SAS/STAT
    • SAS/GRAPH
    • SAS In-Memory Statistics
    • SAS Visual Statistics
    • SAS Text Miner
    • SAS Text Analytics Common Components
    • SAS/ETS
    • SAS Studio
    • SAS/OR


    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



    When you complete the courses in this subscription, you will have the demonstrated skills necessary to prepare you for the following exams needed to become a SAS Certified Advanced Analytics Professional.

  • SAS Certified Predictive Modeler Using SAS Enterprise Miner 14
  • SAS Certified Specialist: Advanced Predictive Modeling Using SAS 9.4
  • SAS Certified Specialist: SAS Text Analytics, Time Series, Experimentation, and Optimization
  • “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