Overview
Context
The majority of data is unstructured. This includes information recorded in books, online articles, and audio files.
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 Natural Language Processing in Python track at Data Camp, 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.
Programme Structure
Courses
- Sentiment Analysis in Python
- Building Chatbots in Python
- Advanced NLP with spaCy
- Spoken Language Processing in Python
- Feature Engineering for NLP in Python
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Artificial Intelligence Machine Learning View 147 other Short Courses in Artificial Intelligence in United StatesAcademic 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.
Tuition Fee
To always see correct tuition fees
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International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing
Funding
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