The document outlines a course on forecasting, covering various lessons including linear regression, exponential smoothing, and model evaluation. It aims to equip participants with the knowledge of the forecasting process and the ability to compare different models. Key focuses include statistical significance, accuracy, and error assessment in model building.

1. Course OutlineCourse OutlineBy ForecastITCopyright 2010 DeepThought, Inc.1

2. Course OutlineLessonsLesson #1: Introduction to Forecasting

3. Lesson #2: Intro to Linear Regression & Model Statistics

4. Lesson #3: Intro to Simple Exponential Smoothing

5. Lesson #4: Intro to Holt’s Exponential Smoothing