In this crash course you're going to learn how to build TWO COVID-19 dashboards using real data and publish it online.
InstructorDee NaidooThe curriculum includes practical exercises for building both automated dashboards via Google Sheets and static dashboards using local files.
Instruction covers essential Tableau features including dual axis charts, map building, and the use of sets with conditional statements.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This Tableau dashboard displays global COVID-19 statistics through four key performance indicator cards and a time-series line graph tracking confirmed cases from January 2020 to June 2021.
This dashboard visualizes global pandemic data using a dual-axis chart for trends, a bubble map for geographic distribution, and a ranked bar chart for the top ten affected countries.
This view displays a Tableau Public profile page featuring a gallery of shared dashboards, demonstrating how users can publish their work online for others to explore.
One signal from 2022 suggests a need for more advanced technical explanations, such as the distinction between SUM and MAX or coverage of LOD expressions; however, this predates the displayed 2023 update, which does not prove these gaps were addressed.
One signal from 2022 suggests a need for more advanced technical explanations, such as the distinction between SUM and MAX or coverage of LOD expressions; however, this predates the displayed 2023 update, which does not prove these gaps were addressed.
The curriculum aligns well with beginner goals, though the specific dataset may limit its utility for professional business analytics.
