Skill Track

Natural Language Processing in Python

The majority of data is unstructured. This includes information recorded in books, online articles, and audio files. In this track, you’ll gain the core Natural Language Processing (NLP) skills you need to convert that data into valuable insights—from learning how to automatically transcribe TED talks through to identifying whether a movie review is positive or negative. Along the way, you’ll be introduced to popular NLP Python 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 be ready to transcribe audio files and understand how to extract insights from real-world sources, including Wikipedia articles, online review sites, and data from a flight booking system.

  • Python
  • 25 hours
  • 6 courses
1
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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 r…

4 hours
Katharine Jarmul

Founder, kjamistan

Instructors

Katharine Jarmul

Founder, kjamistan

Violeta Misheva

Data Scientist

Alan Nichol

Co-founder and CTO of Rasa

See all instructors

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