marcopeix/time-series-analysis

Collection of notebooks for time series analysis

What it solves

Time series analysis can be tricky to get started with because it involves many steps — exploring data, fitting models, and validating forecasts. This project gathers ready-to-run notebooks that walk through those steps, so you can learn or reuse the code instead of building everything from scratch.

How it works

The repository is simply a set of Jupyter notebooks focused on time series analysis. Each notebook covers a specific aspect of working with time-based data, such as loading data, visualising trends, and applying analysis methods. You open a notebook, run the cells, and see the results step by step.

Who it’s for

It’s aimed at anyone who wants to learn time series analysis through practical examples — students, data enthusiasts, or practitioners who need a reference for common analysis tasks.

Highlights

  • Ready-to-use notebooks for hands-on learning
  • Focuses specifically on time series data
  • Straightforward structure — just open and run
  • Useful as a starting point for your own experiments

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