By the end of this course you should be able to:
- Identify common modeling challenges with time series data.
- Explain how to decompose Time Series data: trend, seasonality, and residuals.
- Explain how autoregressive, moving average, and ARIMA models work.
- Understand how to select and implement various Time Series models.
- Describe hazard and survival modeling approaches.
- Identify types of problems suitable for survival analysis.