To examine an informational index identified with the FIFA World Cup utilizing an appropriate technique. In this examination, we have taken up the informational indexes of the FIFA World Cup and dissected them utilizing Python and R programming. The examination zeroed in on a) which group surrendered a more prominent number of objectives than they scored; b) the level of objectives scored in the First Half, Second Half, Extra Time, and Penalty Shootout; the c) most meaningful everyday participation in a specific phase of the match. Discoveries: Python is by all accounts a rising programming language and is generally flourishing. Because of its focal points of simple-to-learn punctuation, improved comprehensibility, object-situated programming support, reconciliation uphold, and broad libraries, this language is versatile in numerous fields and henceforth expanding its applications.

Keywords: FIFA World Cup; Data Analytics; Python