This course will teach you how to choose an appropriate time series model: fit the model, conduct diagnostics, and use the model for forecasting.

This course will teach you how multiple linear regression models are derived, the use software to implement them, what assumptions underlie the models, how to test whether your data meet those assumptions and what can be done when those assumptions are not met, and develop strategies for building and understanding useful models.