Part 1 – Getting Familiar with Time Series

We dip our toes into time series forecasting by understanding what a time series is, how to process and manipulate time series data, and how to analyze and visualize time series data. This part also covers classical time series forecasting methods, such as ARIMA, to serve as strong baselines.

This part comprises the following chapters:

• Chapter 1, Introducing Time Series
• Chapter 2, Acquiring and Processing Time Series Data
• Chapter 3, Analyzing and Visualizing Time Series Data
• Chapter 4, Setting a Strong Baseline Forecast