Data analytics are increasingly being employed in marketing. When executing ads, you can learn something about your customers through interactions, likes, opens, and shares. Data is king. However, the real strength comes from the way it analyzes the data to produce insights that ultimately help with future strategy decisions. This blog article will outline the issues, procedures, and technologies associated with data analytics for marketing.

Natural Language Processing (NLP) has become a game-changing technology in the field of data science, revolutionising how unstructured text data is processed and analysed. Data scientists with NLP expertise are at the forefront of deriving significant insights from language-based data due to the increasing rise of textual data in numerous sectors. In this blog post, we examine the role of NLP in Data Science, examining its uses, advantages, and priceless contributions to the discipline.