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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. 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.

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1
Python
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

Katharine Jarmul Headshot

Katharine Jarmul

Founder, kjamistan

2
Python
Sentiment Analysis in Python

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

4 hours

Violeta Misheva Headshot

Violeta Misheva

Data Scientist

3
Python
Natural Language Processing with spaCy

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

4 hours

Azadeh Mobasher Headshot

Azadeh Mobasher

Principal Data Scientist

4
Python
Spoken Language Processing in Python

Learn how to load, transform, and transcribe speech from raw audio files in Python.

4 hours

Daniel Bourke Headshot

Daniel Bourke

Machine Learning Engineer and YouTube creator

5
Python
Feature Engineering for NLP in Python

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

4 hours

Rounak Banik Headshot

Rounak Banik

Data Scientist at Fractal Analytics

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Instructors

  • Katharine Jarmul Headshot
    Katharine JarmulFounder, kjamistanSee Katharine Jarmul's Portfolio
  • Violeta Misheva Headshot
    Violeta MishevaData ScientistSee Violeta Misheva's Portfolio
  • Azadeh Mobasher Headshot
    Azadeh MobasherPrincipal Data ScientistSee Azadeh Mobasher's Portfolio
  • Daniel Bourke Headshot
    Daniel BourkeMachine Learning Engineer and YouTube creatorSee Daniel Bourke's Portfolio

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