Python is an open-source, free to use programming language used in different industries, predominantly in the data industry and development field. Though it is just a programming language, but it can do wonders if you know how to use it with other tools and languages. The best thing about python is that it has lots of inbuilt functions which you don’t have to write every time if you’re working on python. You just have to invoke the appropriate library to make use of any function. While doing statistical analysis, python comes in hand as it has the required functions, and there’s no need to write lengthy and time-consuming functions. Data scientists generally prefer this language over other languages as it can be used in a variety of tasks, be it Machine learning, deep learning or NLP (Natural Language Processing). While learning python, one thing that should be kept in mind that python alone is not sufficient to be a data scientist. It would be best if you learned different tools such as SQL, Tableau or Power BI, or Big Data techniques to work as a data analyst or scientist. But one should not forget to learn the concepts as well, which are applied to python or on anything to perform the analysis. Hence we prefer to undergo python training from a reputed institution that can make you learn this language.