COVID19 Data Analysis Using Python

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En este proyecto guiado, tú:

Learn the steps, needed to be taken to prepare your data sources for an analysis

Learn how to look at your data to find a good measure to stablish your analysis based upon

Learn to visualize the result of your analysis

Clock100 Minutes
IntermediateIntermedio
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

In this project, you will learn how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consist of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country. Notes: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que desarrollarás

Python ProgrammingData AnalysisPandasSeabornStatistics

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Importing COVID19 dataset and preparing it for the analysis by dropping columns and aggregating rows.

  2. Deciding on and calculating a good measure for our analysis.

  3. Merging two datasets and finding correlations among our data.

  4. Visualizing our analysis results using Seaborn.

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Instructor

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