NLP is used to process what humans say in textual or auditory data and solve incoming requests from humans. NLP requires an extensive understanding of possible antecedents, and predictions of what humans speak are an aspect. Data Science and Machine Learning (ML) entail statistics and rigorous research methodology to produce accurate solutions. Analysts must know what might be causing an error and how it was formed. A background in social science entails cognisance of the human mind and communications, analytical thinking, learning data analysis, and standardised research methods, which can help in NLP. However, it won’t be enough to understand or practice Machine Learning and Deep Learning.