There is a drastic increase for utilizing mathematical modeling in the study of epidemiology diseases. Mathematical models may predict how infectious diseases advance to demonstrate the possible result of an outbreak, and help support initiatives in public health. In the present situation, the 2019-nCoV terrifies the world. In this article, for the analysis of Covid-19 progression in India, we present new insights to formulate a data-driven epidemic model and approximation algorithm using the real data on infection, recovery and death cases with respect to weather in the view of mathematical variables.