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Using Public Health Dashboards

Using Public Health Dashboards

1h 6mIntermediate2020-09-18

Authors

Jennifer Shin

Jennifer Shin

Madecraft

Madecraft

Full-Service Learning Content Company

Course details

Certain events bring big data into the public eye. The COVID-19 pandemic has generated an extensive amount of data from public institutions that are publishing their own dashboards, including governments, hospitals, and schools. However, when using these resources, it's important to be able to evaluate the accuracy of the data and even more critical to use the data in a responsible manner. Learn how to evaluate the various dashboards that are available to researchers, including the COVID-19 dashboard from John Hopkins University and the Institute for Health Metrics and Evaluation (IHME) dashboard, in this course with data scientist and professor Jennifer Shin. Learn how to view and interpret dashboard metrics and visualizations and use them effectively in your own data science projects.

Topics include:
What is a dashboard?
Identifying the underlying data
Interpreting key metrics
Navigating the John Hopkins COVID-19 dashboard
Evaluating the IHME dashboard
Assessing the risks and limitations of using the dashboard

Skills covered

Data VisualizationPersonaData ScienceBusiness Analysis and StrategyBusiness Software and Tools

Concepts

0. Introduction

  • 01 - Using COVID-19 dashboards effectively

1. Dashboards

  • 02 - Overview of dashboards
  • 03 - Is data for all
  • 04 - Data sources
  • 05 - Dashboard components

2. Metrics and Visualizations

  • 06 - Understanding metrics
  • 07 - Metrics - Total vs. new counts
  • 08 - Metrics - Other reports
  • 09 - Dashboard visualizations

3. COVID-19 Dashboard by CSSE at JHU

  • 10 - Overview of the CSSE dashboard
  • 11 - Dashboard features
  • 12 - Data sources and references
  • 13 - Data repository

4. Alternative Dashboards

  • 14 - Not all dashboards are created equal
  • 15 - Introduction to IHME dashboard
  • 16 - Regional data

5. Key Considerations

  • 17 - COVID-19 dashboards
  • 18 - Limitations of dashboards
  • 19 - Considering cases
  • 20 - Key takeaways

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