To become a data scientist, the aspirants need to have expertise in data science and analytics-related tools such as R, SAS, Python, SPSS, etc, along with a sound understanding of statistics. One should also have knowledge of machine learning and predictive modelling. Most of the sources in today's web-dominated era generate unstructured data, which may contain many imperfections such as inconsistent string formatting, missing values and wrongly spelt words.
