SAS Statistics Foundations​ Learning Subscription

Designed for professionals, data analysts, statisticians and scientists who want to be able to communicate about data more confidently and perform common statistical analysis.
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.
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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

Statistical techniques are used to drive decisions in fields including business, banking, insurance, science, engineering, environment, health care, and more. These statistics courses provide the foundation needed to master statistical vocabulary and concepts and learn how to apply common statistical procedures to make more informed and accurate business decisions.

Learn how to:

  • Understand key concepts in statistics, including definitions, terminology, and common procedures and techniques.
  • Use t tests, ANOVA, linear regression, and logistic regression.
  • Use SAS Studio tasks to execute the FREQ, MEANS, and UNIVARIATE procedures.
  • Build predictive models in an interactive, exploratory way.
  • Analyze continuous response data, discrete count data, and categorical response data.
  • Understand the fundamental aspects of probability and distributions.
  • Interpret statistical results based on sample size, confidence intervals and significance.
  • Apply Bayesian analysis using the PHREG, GENMOD and MCMC procedures.
  • More fully understand fundamental principles and best practices of statistics.

  • Courses Included in Subscription

    Fundamentals of Statistical Modeling

    • COURSE

      Essential Data Analysis Using SAS® Studio Tasks: A Point-and-Click Approach
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      In this course, you gain introductory knowledge into exploratory data analysis using SAS Studio tasks that execute the FREQ, MEANS, and UNIVARIATE procedures. The course focuses on the differences among these procedures as well as output interpretation. Introductory statistics terminology is also discussed.

    • COURSE

      Statistics You Need to Know for Machine Learning
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      When it comes to using data, there are two main camps, traditional statistics and machine learning, and the two camps complement each other. Statistics remains highly relevant, irrespective of the "bigness" of data. Its role remains what it has always been, but it is even more important now. There is a need to transition from traditional statistical modeling to the machine learning world. This course introduces the statistical background necessary for machine learning using SAS Viya. Knowledge of statistics relevant to machine learning will prepare you to become a data scientist. The course prepares you for future instruction on doing machine learning (including its underlying methodology that has statistical foundations) and enables you to develop a deeper understanding of machine learning models.

      This course is a prerequisite to many of the courses in the data science curriculum. A more advanced treatment of machine learning occurs in the courses Supervised Machine Learning Pipelines Using SAS(R) Viya(R), Interactive Machine Learning in SAS® Viya®, SAS® Visual Statistics in SAS® Viya®: Interactive Model Building, and Supervised Machine Learning Using SAS(R) Viya(TM) .

      For students interested in statistics for inference and explanatory analysis used in scientific and medical research, Statistics I: Introduction to ANOVA, Regression, and Logistic Regression is an appropriate foundational course.

    • COURSE

      SAS® Enterprise Guide®: ANOVA, Regression, and Logistic Regression
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      This course is designed for SAS Enterprise Guide users who want to perform statistical analyses. The course is written for SAS Enterprise Guide 8 along with SAS 9.4, but students with previous SAS Enterprise Guide versions will also get value from this course.

    • COURSE

      Introduction to Statistical Concepts
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      This course covers basic statistical concepts that are critical for understanding and using statistical methods. This course explains what statistics is and why it is important to understand the characteristics of your data.

      The information in this course is a prerequisite for many other statistical courses that SAS Education offers. The course is appropriate for Base SAS and SAS Enterprise Guide users. Data, practices, and a case study are included.

    Visual Modeling Specialist SAS Viya Certification

    • COURSE

      SAS® Visual Statistics in SAS® Viya®: Interactive Model Building
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      This course introduces SAS Visual Statistics for building predictive models in an interactive, exploratory way. Exploratory model fitting is a critical step in modeling big data. This course is appropriate for users of SAS Visual Analytics in SAS Viya.


      Practice Exam: Interactive Model Building Using SAS Visual Statistics 8.4 on SAS Viya
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      Welcome to the practice exam for the SAS® Certified Specialist: Visual Modeling using SAS® Visual Statistics 8.4 on SAS® Viya credential. This exam is designed for analysts who are using SAS® Visual Statistics for exploratory and predictive modeling, model fitting and analysis in a business environment. Successful candidates should be able to do the following:

      • • Build and explore descriptive models
      • • Build and explore predictive models with continuous and categorical targets
      • Perform model validation
      • Assess model goodness of fit
      • Modify and compare models
      • Score models

    SAS Statistical Business Analyst Certification

    • COURSE

      Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression
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      This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression. This course (or equivalent knowledge) is a prerequisite to many of the courses in the statistical analysis curriculum.

      A more advanced treatment of ANOVA and regression occurs in the Statistics II: ANOVA and Regression course. A more advanced treatment of logistic regression occurs in the Categorical Data Analysis Using Logistic Regression course and the Predictive Modeling Using Logistic Regression course.

    • 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

      SAS Statistical Business Analyst Certification Preparation
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      SAS certifications are globally recognized, so having them on your résumé proves you've received in-depth training from industry experts. These materials will help prepare you to earn the SAS Statistical Business Analyst Certification.

    More Statistical Models

    • COURSE

      Statistics 2: ANOVA and Regression
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      This course teaches you how to analyze continuous response data and discrete count data. Linear regression, Poisson regression, negative binomial regression, gamma regression, analysis of variance, linear regression with indicator variables, analysis of covariance, and mixed models ANOVA are presented in the course.

    • COURSE

      Categorical Data Analysis Using Logistic Regression
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      This course focuses on analyzing categorical response data in scientific fields. The SAS/STAT procedures addressed are PROC FREQ, PROC LOGISTIC, PROC VARCLUS, and PROC GENMOD. The ODS Statistical Graphics procedures used are PROC SGPLOT and PROC SGPANEL. The course is not designed for predictive modelers in business fields, although predictive modelers can benefit from the content of this course.

    • COURSE

      SAS® Programming for R Users
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      This course is for experienced R users who want to apply their existing skills and extend them to the SAS environment. Emphasis is placed on programming and not statistical theory or interpretation. Students in this course should have knowledge of plotting, manipulating data, iterative processing, creating functions, applying functions, linear models, generalized linear models, mixed models, stepwise model selection, matrix algebra, and statistical simulations.

    • COURSE

      Bayesian Analyses Using SAS®
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      The course focuses on Bayesian analyses using the PHREG, GENMOD, and MCMC procedures. The examples include logistic regression, Cox proportional hazards model, general linear mixed model, zero-inflated Poisson model, and data containing missing values. A Bayesian analysis of a crossover design and a meta-analysis are also shown.

      The self-study e-learning includes:

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

    Principles and Best Practices

    • COURSE

      Graphing Data Effectively and Avoiding Common Pitfalls
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      The human mind is geared to look at patterns and attach immediate explanation to the patterns, consciously or subconsciously, and sometimes that conclusion or explanation might not be apt. This course discusses the common fallacies and paradoxes in statistics and data analysis, as well as common pitfalls in data visualization. The course also teaches general guidelines that help you avoid those pitfalls to ensure a fair and accurate representation of facts.

    • COURSE

      Introduction to Data Science Statistical Methods
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      This course gives an overview of the statistical methods used by data scientists, with an emphasis on the applicability to business problems. No software is shown in the course, and the mathematical details are kept to a minimum.

    SAS Products Covered

    • SAS Studio
    • SAS Viya
    • SAS/STAT
    • SAS Analytics Pro
    • SAS Enterprise Guide
    • Base SAS
    • SAS Visual Statistics
    • SAS/ETS
    • SAS/IML
    • SAS Visual Analytics

    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 to earn the following credentials:

  • SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling
  • SAS Certified Specialist: Visual Modeling Using SAS Visual Statistics 8.4 on SAS Viya

  • “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