Covid-19 Vaccination Tracker

Covid-19 Vaccination Tracker

Covid-19 Vaccination Tracker

Summary

I honed my Tableau skills by creating a Covid-19 Vaccination Tracker, delivering insights and marking progress in my data analyst journey. 📈💉

Tools

Tableau

Methods

Dashboard Design, Data Visualization

Functions

Case Sensitive Filter, Charts, Scatter Chart, Trend Line

Project Overview

The Covid Vaccination Tracker project signifies a pivotal moment in my journey as a data analyst. I utilized a guided tutorial by a seasoned data analyst on YouTube to embark on the world of data visualization using Tableau. The project revolves around tracking global Covid-19 vaccination progress.


Learning and Implementation

This project offered me a valuable learning experience by allowing the practical application of Tableau skills through a structured tutorial. Key elements integrated into the dashboard include date filters, country and continent filters, and a dynamic world map. These features empower users to explore vaccination statistics with ease.


Insights Delivered

The project provides answers to critical questions, such as the percentage of the population partially or fully vaccinated against Covid-19, daily vaccine doses administered, distribution of booster doses, and the impact of GDP per capita on vaccination rates. By visualizing these insights, the project serves as a valuable tool for understanding and tracking ongoing global vaccination efforts.


Progress and Growth

While this project was inspired by a YouTube tutorial, it represents a pivotal moment in my progress as a data analyst. It marks the transition from passive learning to active implementation, as I applied the acquired Tableau skills to create an informative dashboard. This journey of turning knowledge into practical results is a fundamental step in my development as a data analyst.

Goals

  • Learn and apply Tableau skills by following a guided tutorial.

  • Create an interactive dashboard for tracking global Covid-19 vaccination statistics.

  • Provide insights on vaccination progress, including population coverage, daily doses, boosters, and socio-economic factors.

  • Gain hands-on experience in data visualization, transitioning from learning to practical application.

  • Mark progress and growth in the journey as a data analyst through real-world project implementation.

Interested or have questions?

Interested or have questions?

Interested or have questions?

John Doe

Data Analyst

Buenos Aires, Argentina
alexparlour@mail.com
+1 123 456 789 0

John Doe

Data Analyst

Buenos Aires, Argentina
alexparlour@mail.com
+1 123 456 789 0