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skill track

Natural Language Processing in Python

Gain the core Natural Language Processing (NLP) skills you need to convert unstructured data into valuable insights. You’ll learn to use Natural Language Processing in Python to automatically transcribe TED talks, extract information from articles, and identify whether a movie review is positive or negative. As you progress, you’ll discover some popular Python NLP libraries, including NLTK, scikit-learn, spaCy, and SpeechRecognition. You’ll start this track by learning how to identify words and extract topics in text before building your very own chatbot that transforms human language into actionable instructions. By the end of the track, you'll understand how to transcribe audio files using natural language processing techniques and understand how to extract insights from real-world sources, including Wikipedia articles, online review sites, and data from a flight booking system.

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Introduction to Natural Language Processing in Python

Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

4 hours

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Katharine Jarmul

Founder, kjamistan


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