Natural Language Toolkit (NLTK) Courses and Certifications

Applied Text Mining in Python

3827 ratings at Coursera

Mine text with Python: manipulate text using the nltk framework, search and clean it with regular expressions, classify documents, and detect topics through topic modelling.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

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.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

NLP - Natural Language Processing with Python

19783 ratings at Udemy

Learn to use Machine Learning, Spacy, NLTK, SciKit-Learn, Deep Learning, and more to conduct Natural Language Processing

• Udemy
• 11 hours 25 minutes
• Self-Paced
• Paid Course

Data Science: Natural Language Processing (NLP) in Python

12915 ratings at Udemy

Applications: decrypting ciphers, spam detection, sentiment analysis, article spinners, and latent semantic analysis.

• Udemy
• 11 hours 56 minutes
• Self-Paced
• Paid Course

Collecting and Preparing Textual Data for Classification

Collect and clean text data for classification: load 20 Newsgroups categories, clean with regex, remove stop words, stem, generate n-grams, and apply NER with POS tagging.

• CodeSignal
• 5 hours
• Self-Paced
• Free Certificate

Modern Tokenization Techniques for AI & LLMs

Implement rule-based and subword tokenization methods, comparing BPE, WordPiece, and SentencePiece for modern NLP models.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Text Data Preprocessing in Python

1 rating

Prepare raw SMS messages for NLP in Python by lowercasing, removing punctuation and stopwords, tokenizing, and stemming with NLTK.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Coursera

Python NLTK for Beginners: Customer Satisfaction Analysis

13 ratings at Coursera

Analyze customer reviews from an online clothing shop with Python, pandas and NLTK, preprocessing text and scoring sentiment to compare satisfaction across product categories.

• Coursera
• 2 hours 2 minutes
• Self-Paced
• Paid Course

Edureka

Natural Language Processing Essentials

Learn NLP fundamentals: clean and tokenize text with NLTK and spaCy, extract Bag-of-Words, TF-IDF and Word2Vec features, and build named entity recognition and parsing models.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Codio

Select Topics in Python: Natural Language Processing

Process and analyze text with NLTK, convert language into numerical representations to compare similarity, and build chatbots from hard-coded Python to a pre-trained language model.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Packt

Chatbots for Beginners: A Complete Guide to Build Chatbots

Build rule-based, machine learning, and deep learning chatbots in Python with NLTK, TensorFlow and Keras, then deploy them via Amazon Lex, AWS Lambda and Twilio.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Packt

Basics of Chatbots with Machine Learning & Python

Build a conversational chatbot in Python with NLTK: tokenization, lemmatization, response generation with TF-IDF and cosine similarity, plus Wikipedia and local search integration.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Learn to clean text with Python 3 using regular expressions (regex) and NLTK.

• Codecademy
• 2 hours
• Self-Paced
• Free Trial Available

Language Parsing

17 ratings at Codecademy

Apply regular expressions (regex) and other natural language parsing tactics to find meaning and insights in the texts you read every day.

• Codecademy
• 2 hours
• Self-Paced
• Free Trial Available

Career Certificate

Apply Natural Language Processing with Python

Learn to preprocess, parse, quantify, and generate language with Python, including regex, vector representations, neural networks, and a text-analysis portfolio project.

• Codecademy
• 10 hours
• Self-Paced
• Free Trial Available