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Overview
Context
The majority of data is unstructured. This includes information recorded in books, online articles, and audio files.
In this Natural Language Processing in Python course offered by Data Camp, 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, and data from a flight booking system.
Programme Structure
Courses
- Natural Language Processing (NLP) in Python
- Sentiment Analysis in Python
- Natural Language Processing with spaCy
- Spoken Language Processing in Python
- Feature Engineering for NLP in Python
Key information
Duration
- Part-time
- 3 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Machine Learning View 202 other Short Courses in Machine Learning in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- There are no prerequisites for this track
- This Natural Language Processing track is suitable for beginners. It covers foundational concepts related to NLP like identifying words and extracting topics, building chatbots, feature engineering, sentiment analysis and spoken language processing. All these concepts are covered in easy-to-understand courses that use simple Python examples.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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