In the pursuit of novel insights and ground-breaking innovations, the ability to handle and comprehend data is gaining in significance. Consequently, data science was born. The goal of data science is to get meaningful information for a business’s operations. It is a technique for studying big datasets that combines the knowledge of numerous fields, such as mathematics, analytics, artificial intelligence, and information science. Using this research, data scientists may get a better understanding of what transpired, why it transpired, what the future holds, and how to apply the results. Extraction of information or pertinent insights from this data may facilitate sound decision-making in a variety of application sectors. In the discipline of data science, sophisticated analytics approaches, such as machine learning modelling, allow autonomous and intelligent computing by offering actionable insights or better knowledge of data. In this paper, we seek to explain the concept of data science and how it has been a major trend in the past few years. Also, a section of this paper gives a brief overview of the process cycle involved in data science. Furthermore, various applications of data science in numerous fields such as education, healthcare, digital marketing, fraud detection and more have been highlighted.