This document is prepared as a self-study course; it is divided into eight(8) separate modules organized in terms of relevance (and to some extent, difficult):
Module 1: Data Preparation
Module 2: Descriptive Statistics
Module 3: Time Series Smoothing
Module 4: Correlogram Analysis
Module 5: Modeling
Module 6: Calibration
Module 7: Residuals Diagnosis
Module 8: Forecast
The purpose of these modules is to demonstrate the basic steps in conducting your own time series analysis, diagnosis, and forecast, using only NumXL’s functions and tools.
Feel free to start at any point in the course, but bear in mind that the examples build on each other from one module to the next.