The term "data science" is relatively new. We had statisticians before we had data science. These statisticians were proficient in qualitative record evaluation, and companies employed them to investigate their average revenue and performance. The field of computer science and information merged with the introduction of computing techniques, cloud storage, and analytical tools. The science of statistics was born out of this. With a broad range of applications across all industries and organizations, data science is a rapidly expanding field of study.Many scientific approaches, including machine learning, artificial intelligence, statistics, and mathematics, are combined in data science to solve complex problems. It uses data that has been analysed and predictions based on it to provide a variety of information on new trends and patterns in a particular model. The goal of this paper is to give a general overview of data science techniques and open source data science tools.