In the tumultuous times we face, data science has been at the forefront of detecting and predicting COVID-19. Organisations like Tableau offer trackers and community-based visualisations that provide intuitive and insightful information about the pandemic. Data scientists at John Hopkins have been leveraging machine learning to predict risk scores for the disease based on clinical data. However, the impact ofthe pandemic indicates that uncertainty would be a significant hallmark of a post-COVID world. Consequently, data science would consider the ambiguous nature of the environment to play a key role in the coming times. A look at how the world has altered hints at the changes to come.

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