# Visit Awesome Public Datasets on Github
https://github.com/awesomedata/awesome-public-datasets
# Find a dataset you find interesting, easily downloadable, and format Pandas can work with
# Create a Github Username
# Think of an awesome project Name
# Create a Github Repository
# Create a new project structure using Cookiecutter
# Commit and push your new project to Github
# Write Code to Download the Dataset using Requests
# Write Code to Transform & Analyze the Dataset using Pandas
# Write Code to Visualize Dataset using Your favorite Pandas Visualization Library
# Write Code to Display your Data in a Browser Using Flask
# Refactor & clean up your code to make it easy to maintain and share
# Setup Airflow Schedule to automatically download, transform, and output your results of your Analysis
# Repeat, but with a different dataset