Learning Objectives

The learning goals for this module are:

  • Learn how to handle missing data in time series analysis;
  • Discuss the different types of outliers and causes;
  • Learn how to identify and properly remove outliers from a time series;
  • Get familiar with R functions to handle missing data and outliers (package outliers).


Here is a link to the slide deck used in class.


Additional information and resources for this module will be found below.


For this module you will complete Assignment 5. The due date for A5 is February 19th.