Data Science Lunch and Learn: Mapping COVID projections


November 2, 2020 12:30 pm GMT

This is part 4 of a 4 part series on dealing with COVID case data. Don’t worry, you should be able to follow this session by itself and you can always find the replays here.

Once we understand what is actually going on in a region, we can try to extrapolate by applying our findings to future dates. Prediction is tricky, and we will see if and how we can do that. Perhaps even more important, how do you present and communicate your projections? Mapping is always a striking example, and using Folium we will see what is needed to create an interactive, animated map of what we found and how we think it will develop: a coronaradar. We will guide you through the data preparation needed to create such a map and pay attention to the setup of your analysis for deployment in a pipeline.

We will run a Jupyter notebook in Watson Studio. If you want to try this out for yourself, please go here to sign up for a free account and follow these instructions to get up and running.

Speaker: Damiaan Zwietering