Build an Interactive Data Analytics Dashboard with Python

1. Build an interactive data analytics dashboard using the Dash library in Python
2. Model coronavirus cases and deaths using generalized logistic functions
3. Smooth data using locally weighted scatterplot smoothing
4. Read and clean data so that it is suitable for modeling
5. Learn how to use Plotly, an interactive data visualization library in Python targeting the web
6. Learn HTML and CSS fundamentals to add and style elements of the dashboard
7. Setup an Ubuntu server running NGINX to host the dashboard on the web for all to see
8. Run nightly cron jobs to update the data and model predictions
9. Encapsulate all of your code into Python classes to ease automation
10. Learn how to complete a comprehensive, end-to-end project in Python using a vast array of skills