SAS Forecasting and Econometrics Learning Subscription
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
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:
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 in Subscription
SAS 9
-
COURSE
Stationarity Testing and Other Time Series Topics SHOW MORE ﹀This course addresses a basic question in time series modeling and forecasting: whether a time series is nonstationary. This question is addressed by the unit root tests. One of the most common tests, the Dickey-Fuller test, is discussed in this lecture. -
COURSE
Forecasting Using SAS® Software: A Programming Approach SHOW MORE ﹀This course teaches analysts how to use SAS/ETS software to diagnose systematic variation in data collected over time, create forecast models to capture the systematic variation, evaluate a given forecast model for goodness of fit and accuracy, and forecast future values using the model. Topics include Box-Jenkins ARIMA models, dynamic regression models, and exponential smoothing models. -
COURSE
Forecasting Using SAS® Forecast Server Software SHOW MORE ﹀This course prepares you to generate large volumes of forecasts automatically using the SAS Forecast Studio interactive interface. This course includes practice data and exercises.This course supports both the desktop and client/server versions. Additional topics for students that license the client/server version of SAS Forecast Studio include producing reports using sample stored processes and a demonstration of SAS Time Series Studio.
The self-study e-learning includes:
- Annotatable course notes in PDF format.
- Virtual Lab time to practice.
-
COURSE
Using SAS® Forecast Server Procedures SHOW MORE ﹀This course teaches you how to create and manage a complete forecasting system using the SAS Forecast Server procedures, giving you the power to confidently plan your business operations. -
COURSE
Time Series Modeling Essentials SHOW MORE ﹀
Viya
-
COURSE
State Space Modeling Essentials Using the SSM Procedure in SAS/ETS® SHOW MORE ﹀This course covers the fundamentals of building and applying state space models using the SSM procedure (SAS/ETS). Students are presented with an overview of the model and learn advantages of the State Space approach. The course also describes fundamental model details, presents some straightforward examples of specifying and fitting models using the SSM procedure, and considers estimation in SSM, focusing on the Kalman filter and related details. The course concludes with a variety of SSM modeling applications, focused mainly on time series. -
COURSE
Forecasting Using Model Studio in SAS® Viya® SHOW MORE ﹀This course provides a hands-on tour of the forecasting functionality in Model Studio, a component of SAS Viya. The course begins by showing how to load the data into memory and visualize the time series data to be modeled. Attribute variables are introduced and implemented in the visualization. The course then covers the essentials of using pipelines for generating forecasts and selecting champion pipelines in a project. It also teaches you how to incorporate large-scale forecasting practices into the forecasting project. These include the creation of data hierarchies, forecast reconciliation, overrides, and best practices associated with forecast model selection. -
COURSE
Models for Time Series and Sequential Data SHOW MORE ﹀This course teaches students to build, refine, extrapolate, and, in some cases, interpret models designed for a single, sequential series. There are three modeling approaches presented. The traditional, Box-Jenkins approach for modeling time series is covered in the first part of the course. This presentation moves students from models for stationary data (or ARMA) to models for trend and seasonality (ARIMA) and concludes with information about specifying transfer function components in an ARIMAX, or time series regression, model. A Bayesian approach to modeling time series is considered next. The basic Bayesian framework is extended to accommodate autoregressive variation in the data as well as dynamic input variable effects. Machine learning algorithms for time series is the third approach. Gradient boosting and recurrent neural network algorithms are particularly well suited for accommodating nonlinear relationships in the data. Examples are provided to build intuition on the effective use of these algorithms. The course concludes by considering how forecasting precision can be improved by combining the strengths of the different approaches. The final lesson includes demonstrations of creating combined (or ensemble) and hybrid model forecasts. -
COURSE
Time Series Feature Mining and Creation SHOW MORE ﹀In this course, you learn about data exploration, feature creation, and feature selection for time sequences. The topics discussed include binning, smoothing, transformations, and data set operations for time series, spectral analysis, singular spectrum analysis, distance measures, and motif analysis. -
COURSE
Large-Scale Forecasting Using SAS® Viya®: A Programming Approach SHOW MORE ﹀
SAS Products Covered
- SAS/ETS
- SAS/STAT
- SAS Forecast Server
- 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.
![](pix/quote.png)
“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.”