Learn the principles of Natural Language Processing (NLP) and Sentiment Analysis! This course is intended for AI and Data Science professionals seeking a fundamental understanding of Natural Language Processing. This includes concepts such as lexicon and tokenization, syntactic and sematic analysis, discourse integration, pragmatic analysis, parsing, and lemmanization. During the course, participants will learn the process for pre-processing data for sentiment analysis, common errors that arise during model calculation, and the best practices for interpreting findings. The course also includes a review of use cases that are particularly beneficial for NLP and sentiment analysis. This is the first on this topic, which is followed by a deeper dive into large language learning models (LLMs) and transformers. Participants that complete this course will be able to take the Advanced course focusing on neural networks and transformers. - Course is free for Silver, Gold and Elite Tier members - 60 - 75 minutes of learning - Participants must pass the assessment to earn a digital badge and certificate