ARIMA Modeling with R is offered on Datacamp by David Stoffer, Professor of Statistics at the University of Pittsburgh. In this course, you will become an expert in fitting ARIMA models to time series data using R. First, you will explore the nature of time series data using the tools in the R stats package. Next, you learn how to fit various ARMA models to simulated data (where you will know the correct model) using the R package astsa. Once you have mastered the basics, you will learn how to fit integrated ARMA models, or ARIMA models to various real data sets. You will learn how to check the validity of an ARIMA model and you will learn how to forecast time series data. Finally, you will learn how to fit ARIMA models to seasonal data, including forecasting using the astsa package. This course contains 45 exercises and 13 videos.
ARIMA Modeling with R
In this course, you will become an expert in fitting ARIMA models to time series data using R.