All NLP related courses on DataCamp

Courses involved:

Introduction to Natural Language Processing in Python

Topics Covered:
Regular expressions & word tokenization
bag-of-words and Tf-idf using NLTK
topic identification
Gensim library
named-entity recognition
polyglot and spaCy libraries
fake news classifier

2-Sentiment Analysis in Python
sentiment of movie reviews
Amazon product reviews
Twitter sentiment analysis  

3-Building Chatbots in Python
rule-based systems for parsing text
Understanding natural language with spaCy, scikit-learn, and rasa NLU
Building a virtual assistant using hotel’s database for matching results.
Dialogue 

4-Advanced NLP with spaCy
text processing with spaCy
data structures and statistical models in spaCy
spaCy's processing pipeline
custom components
custom attributes
Training a neural network model

5-Spoken Language Processing in Python
converting audio files into soundwaves 
comparing audio files visually
audio files to text using Python SpeechRecognition library 
Manipulating Audio Files with PyDub
sentiment analysis using NLTK
named entity recognition using spaCy
text classification using scikit-learn

6-Feature Engineering for NLP in Python
computing basic features such as number of words, number of characters, average word length and number of special characters
text cleaning
part-of-speech tagging
named entity recognition using spaCy
analyze noun usage in fake news
N-Gram models
TF-IDF and similarity scores