Natural Language Processing in Python

This Track uses Python as the programming language.

This Track will benefit professionals looking to develop core Natural Language Processing (NLP) skills. This track will be useful to professionals pursuing jobs in linguistics, natural language processing, deep learning, artificial intelligence, big data and software engineering.

This Track will help you learn and practically implement natural language processing techniques for analyzing and manipulating data using Python programming language. You will be able to apply this knowledge to job opportunities related to linguistics, natural language processing, deep learning, artificial intelligence, big data and software engineering.

The track is self-paced, so users can spend as long or as little time as they like working through exercises and courses. However, Tracks usually take 25 hours to complete.

Skill tracks are designed to give users a broad understanding of certain topics and encourage self-paced learning, whereas career tracks focus on practical problem solving and help users acquire job-specific skills.

The datasets used in this track are real-world sources including Wikipedia articles, online review sites, and data from a flight booking system.

By the end of this track, you will have learned how to identify words and extract topics in text, build your own chatbot, work with popular Python NLP libraries, use natural language processing techniques to transcribe audio files, and extract insights from real-world data sources.