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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.

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Loved by learners at thousands of companies

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
Building Chatbots in Python

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

4 hours

Alan Nichol Headshot

Alan Nichol

Co-founder and CTO of Rasa

4
Python
Advanced NLP with spaCy

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

5 hours

Ines Montani Headshot

Ines Montani

spaCy core developer and co-founder of Explosion AI

5
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

6
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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