ABSTRACT
For past few years the entire world has been facing an unprecedented situation with the coronavirus outbreak. Covid-19 has a tremendous effect on economic, social, societal, and health systems which has made humans experience the unexpected. As of late October, 2020, it had infected more than 40 million people worldwide. The pandemic has impacted health systems and medical resource availability in several nations throughout the world, leading to the high mortality rate. By using the technology like data science, one can monitor individuals on regular basis who are suspected to be infected with Covid-19. Managing an epidemic involves a comprehensive understanding of the disease's characteristics and behaviour, which may be uncovered by collecting and analysing relevant data. There are several useful things that can help enhance healthcare facilities. As a result, the data science community is working to understand an artificial intelligence (AI)-guided solution. Big data analytics tools are essential for getting the skills required to make choices and take necessary precautions. In order to stop the spread of Covid-19, the effectiveness of data analysis must be evaluated. The main issues and future directions of Covid-19 data analysis are discussed. In this chapter, we review the role that data science is playing in this pandemic. © 2023 selection and editorial matter, Archana Patel, Narayan C. Debnath;individual chapters, the contributors.