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By the end of this project, you will learn How you can use data visualization techniques to answer to some analytical questions. in this project we are going to use COVID19 dataset we have consisting of the data related cumulative number of confirmed, recovered, and deaths cases. we are going to prepare this dataset to answer these questions: How does the Global Spread of the virus look like?, How intensive the spread of the virus has been in the countries? Does covid19 national lockdowns and self-isolations in different countries have actually impact on COVID19 transmission? we are going to use Plotly module, which is a great visualization tool in python, in order to plot some insightful and intuitive graphs to answer the questions.Auto Summary
Discover the power of data visualization with "COVID19 Data Visualization Using Python." This intermediate-level course, offered by Coursera, is designed for those interested in IT and Computer Science. Under expert guidance, you will explore how to leverage data visualization techniques to answer critical analytical questions using a comprehensive COVID-19 dataset. Throughout the course, you will address key questions such as the global spread of the virus, the intensity of its spread across different countries, and the impact of national lockdowns and self-isolation measures on transmission rates. Utilizing the Plotly module, a versatile and powerful visualization tool in Python, you will create insightful and intuitive graphs that provide clear answers to these pressing questions. This engaging project spans approximately 120 minutes and is available for free, making it an accessible choice for those looking to enhance their data visualization skills. Ideal for learners with an intermediate understanding of Python, this course offers practical, real-world experience in visualizing crucial COVID-19 data. Join now to transform raw data into compelling visual stories.