Browse Hierarchy MTH783P: Time Series Analysis for Business

Time Series Analysis refers to the use of statistical and machine learning methods for inference on datasets containing variables collected over time, with the ultimate goal of forecasting the values of these variables at some future time. You will apply the power of SAS analytics to massive amounts of data, gain valuable insights into visualisation techniques to uncover relevant patterns, and be empowered to make quicker informed decisions. This module introduces key concepts such as trend and seasonality decomposition, autocorrelation, autoregressive and moving average models, and exponential methods. Tutorials focus on the use of the R software environment in the analysis of real-world time series data.