Time Series Modeling Essentials
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).
This course can help prepare you for the following certification exam(s): SAS Text Analytics, Time Series, Experimentation and Optimization.Learn how to
Who should attendAnalysts with a quantitative background as well as non-statistical analysts and domain experts who would like to augment their time series modeling proficiency
Before attending this course, you should have an understanding of basic statistical concepts. You can gain this experience by completing the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course.
This course addresses SAS/ETS, SAS Studio software.
Introduction to Time Series
|Dates||Location||Time||Language||Fee||Add to Cart|
|23-24 JUL 2019||Live Web||12:00 PM-08:00 PM EDT||English||1,600 USD / 3.2 EPTO|
|23-24 JUL 2019||San Francisco, CA||09:00 AM-05:00 PM PDT||English||1,600 USD / 3.2 EPTO|
|10-13 SEP 2019||Live Web||01:00 PM-04:30 PM EDT||English||1,600 USD / 3.2 EPTO|
|24-25 OCT 2019||Chicago, IL||09:00 AM-05:00 PM CDT||English||1,600 USD / 3.2 EPTO|
|17-20 DEC 2019||Live Web||01:00 PM-04:30 PM EST||English||1,600 USD / 3.2 EPTO|