1. A review on what you have learned so far
2. So far ...
So far we have looked at how to visualize aggregates of time series data, and how to extract statistical summaries of your data. Along with the concepts of autocorrelation and time series decomposition that were just introduced, you should now have a good understanding on how to report and analyze time series data. In the following exercises, you will have the opportunity to work with a new dataset that will help you review a lot of the content that we covered up to now.
3. The airline dataset
You will hone your skills with the famous airline dataset, which consists of monthly totals of airline passengers from January 1949 to December 1960. It contains 144 data points and is often used as a standard dataset for time series analysis. Working with this kind of data should prepare you to tackle any data that you may encounter in the real world!
4. Let's analyze this data!
Let's take a deep dive into the airlines dataset!