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Using Data Science to Chart a Pandemic Cover

Using Data Science to Chart a Pandemic

5

average rating (1 votes)

Created by

Lucero Del Alba

Published by

SitePoint

Last Updated

4 May 2021

Details

In this tutorial, we’ll use the coronavirus pandemic as a focus for a mashup of data science practices—everything from collection to exploration of the data, and also covering visualization and testing of hypotheses. We’ll learn a lot not only about the process but also about the outbreak itself.

Description

In this tutorial, we’ll use the coronavirus pandemic as a focus for a full mashup of data science practices—everything from collection to exploration of the data, while also covering visualization and testing of hypotheses. As a result, we’ll learn a lot not only about the process but also about the outbreak itself.

We’ll draw inspiration from the COVID-19 Coronavirus Data Dashboard byInformation is Beautiful. We’ll use Jupyter Notebook along with the Python programming language.

Creator

Lucero Del Alba avatar

Lucero Del Alba

Lucero is a programmer and entrepreneur with a feel for Python, data science and DevOps. Raised in Buenos Aires, Argentina, he's a musician who loves languages (those you use to talk to people) and dancing.

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Harold One Feather

I really enjoyed this. A very quick introduction to Python and pandas, using a very important dataset, the Coronavirus data. In addition to Python, he also shows how to use PivotTables.js, a very interesting web application like a spreadsheet to group countries by age and sex, just drag and dropping the parameters. I recommend folks read this, the best statistics are those we make ourselves. Python and pandas makes data analysis very simple, if you make a mistake, finding help is easy, just google..

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