SAS Forecasting and Econometrics​ Learning Subscription

For forecasters and analysts who want to learn how to generate trustworthy forecasts, either automatically, with less manual intervention, reducing the opportunity for personal bias, or with highly customizable code to obtain the best models possible for your data. Learn how to streamline your forecasting processes in order to focus efforts on the most important, high-value decisions.
Purchase this digital subscription to:
Digital courses
Unlimited access to digital courses and books.
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

Learn how to generate large quantities of high-quality forecasts quickly and automatically (with no need for human intervention unless you want it) using SAS Forecast Server, SAS/ETS, SAS Visual Forecasting, and Model Studio on the SAS Viya platform. An easy-to-use GUI gives you the power to forecast without having to write code, unless you want to. A batch environment gives more-advanced users access to an even fuller set of capabilities using the SAS programming language. Algorithms provide automatic model diagnosis, generation, and selection for a wide range of signal components. Test what-if scenarios to determine the likely impact of your forecasts.

Learn how to:

  • Conduct time series exploration and analysis. Build time series forecast models for time series with trend and seasonality and test for stationarity.
  • Use your models to assess the impact of events, sales, marketing promotions, and natural or man-made disasters.
  • Create time series data, accommodate trends, and diagnose, fit, and interpret exponential smoothing models, ARIMAX models, and unobserved components models, while learning how to understand the strengths and weaknesses of each type of model.
  • Take advantage of a flexible and visual approach to modeling sequential data using the SSM procedure (SAS/ETS).
  • Generate large-scale, automatic forecasts. Build and share custom pipelines for large-scale forecasting analyses using Model Studio on the SAS Viya platform.
  • Incorporate external models and functionality from other languages (Python, R, etc.).
  • Before taking courses in this subscription, you should have an understanding of basic statistical concepts. You can gain this experience by completing Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression, which is available as an instructor-led or free online e-learning course. Programming experience is not required. Some experience with an object-oriented language is helpful, as is familiarity with manipulating large tables.

    Courses Included

    SAS 9

    1
    • COURSE

      Forecasting Using SAS® Software: A Programming Approach
      SHOW LESS ︿
    • COURSE

      Forecasting Using SAS® Forecast Server Software
      SHOW LESS ︿
    • COURSE

      Using SAS® Forecast Server Procedures
      SHOW LESS ︿
    • COURSE

      Time Series Modeling Essentials
      SHOW LESS ︿

    Viya

    2
    • COURSE

      State Space Modeling Essentials Using the SSM Procedure in SAS/ETS®
      SHOW LESS ︿
    • COURSE

      Forecasting Using Model Studio in SAS® Viya®
      SHOW LESS ︿
    • COURSE

      Models for Time Series and Sequential Data
      SHOW LESS ︿
    • COURSE

      Time Series Feature Mining and Creation
      SHOW LESS ︿
    • COURSE

      Large-Scale Forecasting Using SAS® Viya®: A Programming Approach
      SHOW LESS ︿

    SAS Products Covered

    • SAS/ETS
    • SAS Forecast Server
    • SAS/STAT
    • SAS Studio
    • SAS Visual Forecasting
    • SAS Viya


    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