In this series of notebooks, you'll explore 🔎 the fantastic world of craft beers 🍻 through the lenses of data.

You'll learn how to:

• 📝 Build a dataset from a website
• 📒 Clean up and structure a dataset
• 📈 Profile a data set using descriptive statistics (in-progress)
• 📊 Visualize your data (in-progress)
• 🔥 Enhance your data set with external data sources (in-progress)

1. Fork this repository.
2. Open up notebooks/Craft Beers & Data Science - Part 1 - Scraping a Dataset.ipynb
3. Start exploring the world of craft beers.

Alternatively, you can explore the notebooks from Github: :point_right: Start here!👈

• Scraping for Craft Beers: A Dataset Creation Tutorial - Kaggle

Do you have any questions or feedback? Have you done some interesting things with the dataset?

I'd love to hear all about it. Feel free to reach out:

• Twitter
• Email
• Website

Jean-Nicholas Hould