Technical requirements
No hands-on experience in a language such as Python or R is necessary to follow along with the content of this chapter. However, for the more technology-savvy readers, we will address some technical considerations (such as visualization, transformation, and preprocessing) and the packages you can leverage in the Python language to address these. In addition, you can also open the Jupyter notebook you will find in the following GitHub repository to follow along and experiment by yourself: https://github.com/PacktPublishing/Time-series-Analysis-on-AWS/blob/main/Chapter01/chapter1-time-series-analysis-overview.ipynb.
Although following along this chapter with the aforementioned notebook provided is optional, this will help you build your intuition about what insights the time series techniques described in this introductory chapter can deliver.