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Forecasting Analytics
About the Course
1. Introduction & Visualization
2.1 Predictive Performance
2.2 Forecasting Methods
3. Smoothing Methods: Part I
4. Smoothing Methods: Part II
5. Linear Regression: Part I
6. Linear Regression: Part II
7. Ensembles
8. Binary Events: Logistic Regression
9.1 Neural Networks
9.2. Communication and Maintenance
Assignments
Case 1: Forecasting Transportation Demand
Case 2: Forecasting Stock Movements
Forecasting Analytics
1. Introduction & Visualization
Topics
Time series vs. cross-sectional data
The forecasting process
Goal definition and data collection
Time series components and characterization
Forecasts and forecast errors
Visualizing time series (Why visualize? Why interactively? Visualizing a series and forecast errors)
Introduction to Spotfire software
Reading
Please read:
Chapter 1
Chapter 2
Data & Analysis Files
Amtrak Ridership (xls)
Baregg Tunnel Traffic (xls)
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