Business Knowledge Series course
This course teaches practical concepts in time series analysis and forecasting. It discusses the different components of a time series. Participants will learn how to compute and interpret forecast accuracy measures. Approaches to forecast modeling are presented, including those that capture trend and seasonality. The course also shows how to account for explanatory variables and events that alter the time series structure.
Learn how to
- use time series analysis in addressing business objectives
- identify the components of a time series
- measure forecast accuracy
- build forecast models
- capture trend and seasonality in time series forecasting
- incorporate explanatory variables and events into forecasting models
Who should attend
Anyone who wants to learn or re-learn the practical concepts in time series analysis and forecasting may attend the course.
There are no prerequisites to this course.
