Time Series Modeling Essentials
There is a new version of this course. Please see Time Series Modeling Essentials.
The course covers the fundamentals of modeling time series data, and 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).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.
Introduction to Time Series