Natural Language Processing in Python Traineeship is a self paced 4 week Industrial Training program with mentorship support.
Networks appear in lots of places in today’s world. From social media to organizational charts to transportation, they can be visualized and analyzed using R.
⇩ What we cover in 4 weeks.
Week 1 – 3
The majority of data is unstructured. This includes information recorded in books, online articles, and audio files. In this Internship/Training, 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 Internship/Training, 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.
Certificate of Completion
Letter of Recommendation
Complete this course while you work
Rigorous curriculum designed by industry experts
Best performers will also be offered a job within the company.