An open-source project means that anybody may use, study, edit, and distribute it for any reason. Similarly, an open-source data science project implies that users can utilize already available data science projects to redefine how the projects worked. Most open-source data science projects are practical because they lower the obstacles of starting from scratch and are easy to get into, allowing individuals to propagate and develop projects swiftly. Also, in comparison to closed sources, these projects will enable people to govern their computers. By doing open source data science projects, data science professionals increase their chances of getting hired, as these projects showcase their ability to read, handle and debug.