Covid-19 Death Medical Analysis & Visualization using Plotly

In this 2-hour long project-based course, you will learn how to analyze and visualize the global scenario of Covid-19 using Python and Plotly. Dive into medical analysis of various conditions contributing to death due to Covid-19 while utilizing two separate datasets from worldometer and the CDC.

Throughout the course, you will explore bar graphs, scatter plots, and Choropleth maps to understand the current global scenario of Covid-19. Additionally, you will delve into medical analysis, visualizing how Covid deaths vary with respect to age group, pre-existing medical conditions, and the performance of all 50 states in the US against Covid. The course will also guide you through creating WordCloud text visualization of various medical conditions and condition groups contributing to Covid deaths.

• Gain proficiency in Python programming and Plotly visualization
• Analyze global Covid-19 data using bar graphs, scatter plots, and Choropleth maps
• Explore medical analysis of Covid deaths by age group and pre-existing conditions
• Compare the Covid-19 performance of all 50 states in the US
• Create WordCloud text visualization of medical conditions contributing to Covid deaths

This beginner-friendly course is designed for learners interested in understanding the global impact of Covid-19 and its medical implications. No prior experience in Python programming or medical science is required. However, it is recommended to have some familiarity with the Python programming language.