Importance of statistics to data science

This paper is mainly discussed on importance and contribution of statistics to Data science and how it emerges as the most important factor to solve realistic problems which contains huge amount of data processing. There are various methods in statistics which help Analysis in data science which will be explained in detail. This work also emphasizes on importance of Data Science in this present technology. Statistics is proved to be an important discipline in regulating the work analyzed in the field of Data Science. This work compare various statistical approaches with This outlines the numerous potential data analysis approach processes which helps in examining the influence of quantitative statistical measures on data collection and optimization, data interpretation, data processing and modelling, testing and presenting and Various challenges faced in the process of data science using statistics is given in brief. Here there is a numerous way to enhance the data science techniques with the help of statistics methodologies.