Episode 8: Understanding the coronavirus (COVID-19) with Data Science

Hello! And welcome to a new edition of the Data Science Now newsletter. In this session, I talked about how to download and analyze the data for the Coronavirus or COVID-19. You can hear the podcast version here:

And if you prefer you can watch the video recording here:

Remember that we will be live (almost) every Wednesday here at Linkedin, 8 PM CST :).

Here's a short recap of what I covered in the session:

We’re in a situation we’ve been in before, but new complications, there’s a lot of information. This is the first disease of this kind in this era of information and social media.

We’ll talk about COVID-19. This began in China in Wuhan back in December, it’s been spreading a lot in the past weeks. Right now (March 23) we have 363,503 cases.

Where can we find the best sources of information?

I prepared a python notebook for this episode, and here you can find it:

If you want to run this notebook you have to download this data from Kaggle:

The resources for creating the notebook are (thanks to everyone working in this):

https://www.kaggle.com/khoongweihao/covid-19-novel-coronavirus-eda-forecasting-cases/data

https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons

https://github.com/imdevskp/covid_19_jhu_data_web_scrap_and_cleaning

https://github.com/CSSEGISandData/COVID-19

https://github.com/soroushchehresa/awesome-coronavirus

https://github.com/alsnhll/SEIR_COVID19

Recommendations

• Stay home, don’t go outside.
• Don’t touch your face.
• Exercise and eat healthy.

Always Remember:

There's no easy path, you have to practice, study, and if you want to know where you're going, you need to understand where you come from. Then you will rule the world.

Thanks for reading this, please subscribe and share this with your network, it would help us a lot :)

With love by the Closter Team:

Gabriel Erives, Héizel Vázquez, Eilén Vázquez, Favio Vázquez.