Your Data Science Toolbox -- What is Inside?

Data science is a very broad multi-disciplinary field that includes several subdivisions such as data visualization, machine learning, and artificial intelligence. Due to the broadness of the field and because data science is constantly changing due to technological innovations and the development of new algorithms, a successful data scientist has to maintain a big and updated toolbox at all times. Keep in mind that as a data scientist, you can only perform tasks that you have the right tools for. This article will discuss several tools that one can include in their data science toolbox. Knowledge-based tools can be grouped into three main categories based on the level of data science tasks involved: level 1 (basic level); level 2 (intermediate level); and level 3 (advanced level). Basic tools are tools that would enable one to perform level 1 tasks.