TEXT Analysis with Python ( NLP) Course Overview

The "Text Analysis with Python (NLP)" course provides comprehensive natural language processing training designed to equip learners with the skills necessary to analyze, understand, and generate insights from textual data. Starting with the Natural Language Basics, students are introduced to the fundamentals of linguistics and language structure, ensuring a solid foundation in the principles underpinning natural language processing.

Through the subsequent modules, participants will receive a Python refresher, covering essential programming concepts and Regex, which are crucial for handling text data. The course then dives into practical NLP techniques, including Text tokenization, Text classification, and Sentiment analysis, providing hands-on experience with real-world applications.

By the end of this natural language processing course, learners will be adept at performing Text summarization, understanding Text similarity, and Clustering, as well as Semantic analysis. This training not only imparts theoretical knowledge but also emphasizes practical skills, preparing students to tackle NLP challenges across various domains.