Natural Language Processing: Foundations and Text Analysis

Language data is generated every second, but turning raw text into actionable insights requires a specific set of linguistic and technical skills. This course provides a structured path to understanding how computers interpret, process, and analyze human language. You will move from the basic building blocks of linguistics to implementing functional text processing pipelines using industry-standard tools. What you'll learn: - Understand core concepts including tokenization, stemming, and part-of-speech tagging - Configure a professional text processing environment using modern Python-based tools - Apply vectorization techniques to transform written words into numerical data for analysis - Practice sentiment analysis and text classification using foundational machine learning patterns - Explore modern developments including large language models and basic prompt engineering - Implement text cleaning workflows to handle real-world data inconsistencies The course begins with essential terminology and foundational definitions before progressing to practical text manipulation and the integration of modern language model concepts. This curriculum is designed for beginners with an interest in data science or linguistics, requiring no previous experience in the field. Start building your expertise in language technology today.