STEM / applied
Time series analysis · Undergraduate · Statistics
Topics
Applied forecasting
- Forecasting with R (forecast package) or Python
- Evaluating forecasts: MAPE, RMSE, and cross-validation
- Business and economic time series case studies
- Handling irregularly spaced or missing time points
- Introduction to GARCH models for volatility
- Communicating forecasts and uncertainty to stakeholders
Additional applied practice
- Reviewing assumptions with domain experts
- Documenting analysis choices for reproducibility
- Sensitivity analyses for key modeling decisions
- Connecting results to the original research or business question
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$60.00 · 60 min · Undergraduate · Online ($60/hr)
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