Overview: The current knowledge & application of big data analysis: A COVID-19 (SARS COV-2) case study. The 2019–20 coronavirus pandemic has had far-reaching consequences beyond the spread of the COVID-19 disease itself and efforts to quarantine it. In this session, we will learn about the scientific efforts made so far using the data-driven approaches & learn about COVID-19. Session Topics: Novel coronavirus genes, Proteins and the virology of the disease, how the data and the various analysis tools can help in the detection of viral genomes, compare and distinguish between viral strains, identify the impact of mutations on the functionality of viral proteins, and discuss the virology from the standpoint of data. Outcome: We also know that many of you want to help and contribute towards this cause to study, understand, and help stop the spread of COVID-19. In this session, you will learn about the several ways you can contribute as a citizen scientist and be part of this global initiative by analyzing data generated by labs around the globe.