> For the complete documentation index, see [llms.txt](https://prof-rossetti.gitbook.io/intro-to-python/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://prof-rossetti.gitbook.io/intro-to-python/exercises/monthly-sales-predictions.md).

# "Monthly Sales Predictions" Exercise

> WARNING: intended for students with experience and interest in statistics

## Setup

Use the same repo with monthly sales CSV data files you used for the "Monthly Sales Reporting" exercise, or make a copy of that repo called something like "monthly-sales-predictions" and add the same CSV files into that new repo.

Make sure your repo includes all available ["monthly sales data"](https://github.com/prof-rossetti/intro-to-python/tree/f09f436ca11c0a9d85f2e02ce9726af7b60bf3e5/data/monthly-sales/README.md) CSV files.

## Instructions

Research and leverage third-party Python packages to predict top-level monthly sales for each of the next twelve months following the latest available month of available data.

## Further Exploration Challenges

Can you predict the monthly sales for each item?