Case Study: Climate Change

1. Case Study: Climate Change

As a final exercise that will pull together many of the concepts throughout this course, you'll

2. Analyzing Temperature Data

analyze some temperature data taken over almost 150 years. The data was downloaded from the NOAA website. First, you'll practice some pandas methods by converting the index to datetime and plotting the data. Then, you'll run the Augmented

3. Analyzing Temperature Data

Dickey-Fuller test to see whether the data is a Random Walk. Then, you'll take first differences of the data to transform it into a stationary series, and compute the Autocorrelation Function and the Partial Autocorrelation Function of the data. Using that as a guide, you'll fit a few AR, MA, and ARMA models to the data. Then you'll use the Information Criterion to choose the best model among the ones you looked at. Finally, with the best model, you'll forecast temperatures over the next 30 years.

4. Let's practice!

Time to put this into practice.

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