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For any corporate and financial organization, data science is the most reliable tool for assisting their leaders in making choices based on current events and facts. It was created using a variety of technologies and academic fields. The most significant field that contributes to the deep and basic workings of data science is statistics. In order to conduct essential mechanisms, functions, processes, and procedures to analyze and quantify uncertainty, statistics is assisting the most common tools and approaches in data science. The importance of statistics in delivering essential capabilities such as data gathering and refinement, data processing, data analysis, modeling, model selection, and model validation, as well as visualization for decision-making, is presented in this work. This research article elucidated the essential features of data science using various statistical tools and techniques. [ABSTRACT FROM AUTHOR]