Learn data science – covid-19 and cholera pandemic projects

Learn data science using python, plotly and leaflet

This is a course for data visualization lovers.

What you’ll learn

  • Introduction to Data Visualisation.
  • Data Types and Chart Types.
  • Data Visaulization in Plotly.
  • COVID Visualization in Plotly.
  • Plotting Geographical Data in Plotly.
  • John’s Cholera Graph.
  • Scientific and Statistical Plots and animation.
  • Interactive Maps using Leaflet.

Course Content

  • Module. 1 Introduction to Data Visualisation –> 5 lectures • 36min.
  • Module. 2 Data Types and Chart Types –> 8 lectures • 1hr 39min.
  • Module. 3 Data Visaulization in Plotly –> 4 lectures • 1hr 4min.
  • Module. 4 Final Project 1 (COVID Visualization in Plotly) –> 1 lecture • 52min.
  • Module. 5 Plotting Geographical Data in Plotly –> 6 lectures • 1hr 17min.
  • Module. 6 Some Advanced Topics in Plotly –> 4 lectures • 59min.
  • Module. 7 Final Project 2 (John’s Cholera Graph) –> 1 lecture • 33min.
  • Module. 8 Scientific and Statistical Plots –> 6 lectures • 1hr 15min.
  • Module. 9 Animation in Plotly –> 3 lectures • 1hr 15min.
  • Module. 10 Final Project 3 ( Exploring Interactive Maps using Leaflet) –> 1 lecture • 38min.

Learn data science - covid-19 and cholera pandemic projects

Requirements

  • Basic math skills.
  • Basic to Intermediate Python Skills.

This is a course for data visualization lovers.

It has been prepared with practical exercises of the current context for its better understanding and application in a 10 intensive hours.

In a first section, the methodological principles on data viz and graphic display techniques are explained. As an exercise, the extraction and deployment of COVID-19 data using python, Plotly and express submodule is developed.

Additionally, the course includes the geospatial application for the representation of geographic data using Plotly’s methods, and as an exercise the data from John Snow’s research on cholera is reconstructed.

Finally, scientific and statistical graphics and their display through animation code are explored. As a final project, the Leaflet code is used to explore interactive maps.