Topics:
Visualize and analyze time series data.
Create time series data types in R.
Simulate data to evaluate and understand analyses.
Decompose a time series into seasonal, trend, and error components.
Understand landscape of core time series concepts including autoregressive, moving average, seasonal decomposition, and exponential smoothing.
Use regression to fit and predict time series.