5 Best NLP Python Courses & Tutorials [2020]

Best nlp python course tutorial class certification training online

After conducting in-depth research, our team of global experts compiled this list of Best Five NLP Python Courses, Classes, Tutorials, Training, and Certification programs available online for 2020. This list includes both paid and free courses to help students and professionals interested in Natural Language Processing in implementing machine learning models. Also, it is ideal for beginners, intermediates, as well as experts.


5 Best NLP Python Courses & Tutorials [2020]

1. Data Science: Natural Language Processing (NLP) in Python (Udemy)

Individuals having a basic knowledge of Python, machine learning, and maths can sign up for this Natural Language Processing course on Udemy to advance their education. Knowing the use of Python libraries like Numpy, Pandas, SciKit-Learn, etc. is a plus for you to get started with NLP in Python. Through lots of practical, real-world scenarios, and corresponding data modeling, students can learn to code and develop applications that use machine learning algorithms. This course is ideal for beginners, and once you complete the course, you will be able to build your own algorithms using Markov models, build spam detectors, article spinners, and much more.


Key USPs –

– Learn various applications of Natural Language Processing with Python that can be applied in daily life.

– Develop cipher decryption algorithms that are used in spying.

– Write code for sentiment analysis using Python to predict user behavior.

– Use of various Python libraries to develop data models and algorithms for NLP.

– Certificate of completion in Data Science.


Duration: Self-paced

Rating: 4.6 out of 5

You can Sign up Here


Review: Great style of teaching for those that like to know about the theory before diving into the code. – William Reveron



2. NLP – Natural Language Processing with Python (Udemy)

Become an expert in Natural Language Processing by enrolling for this NLP course on Udemy. It covers basics as well as advanced techniques of Machine Learning and Deep Learning Algorithm through Python. Students will start with working on PDF and text files using Python, and this will be extended to more advanced lessons on sentiment analysis and unsupervised learning. You will be learning how to use the state of art visualization libraries for everyday tasks in the computing world. You get to interact with fellow students through an active online community.


Key USPs –

– Learn how to work with PDF and text files using Python Data Analysis.

– Use regular expressions for pattern analysis.

– Learn and use Python libraries for advanced machine learning algorithms.

– Know how to use Word2Vec algorithm.

– Develop chatbots through deep learning.

– Perform sentiment analysis with Natural Language Processing Toolkit.


Duration: Self-paced

Rating: 4.5 out of 5

You can Sign up Here


Review: This has been my favorite Udemy class so far. Topics are clearly defined and appropriate background knowledge is given in order to understand the python code. – Katie Brown



3. Introduction to Natural Language Processing in Python (DataCamp)

DataCamp covers Natural Language Processing applications using Python through 15 tutorial videos in this online course. Students will learn how to work with text data available on the internet to gain real-world insights and data projections. The course has several exercises to help understand NLP concepts practically. Those who enroll for this course will learn to work with text files to parse information that can then be used to model data for analysis. With algorithms, you will write codes that will smarty carry out entity recognition and topic analysis in text files.


Key USPs –

– Understand the basic concepts of Natural Language processing.

– Learn how to parse texts through regular expressions and tokenization.

– Use NLP models to classify topics in a text file through its number of occurrences.

– Get acquainted with Python libraries like polyglot to carry out entity recognition.

– Build a “fake news detector” with a machine learning algorithm.


Duration: Self-paced

Rating: 4.4 out of 5

You can Sign up Here



4. Hands-On Natural Language Processing (NLP) using Python (Udemy)

A course based entirely on practical projects, this NLP course on Udemy is for anyone with interest in machine learning or Python. You will learn the fundamental concepts of Natural Language Processing to develop applications and models for text operations. Prior knowledge of OOP concepts and mathematics is a surplus for those enrolling. You will be working on projects throughout the course and build your own spam filter and sentiment analyzer. This can be useful in classifying texts and predicting behavior through analysis. You will also develop an algorithm that can summarize articles from multiple websites.


Key USPs –

– Clear your Python understanding.

– Learn the use of Python libraries – Numpy and Pandas.

– Understand regular expressions to carry out text file parsing.

– Carry out text classification through Python Data Analysis.

– Prepare a model on Tweet Sentiment Analysis for predictions and insights.

– Understand and build Text summarization model.


Duration: Self-paced

Rating: 4.2 out of 5

You can Sign up Here


Review: This course is structured in an organized manner with projects and easy to learn. Good for beginners to learn NLP with Python! – Parthiban P



5. Natural Language Processing (Coursera)

This course on NLP is designed by the National Research University Higher School of Economics, and it covers the advanced learnings in Machine Learning. It encompasses the topics of NLP for text analysis and has a practical project-based learning model. After the completion of this course, you will be able to build a chatbot. The course helps in getting real-world machine learning experience through building workable models. Students will learn text file parsing and build machine learning models to perform smart text filters.


Key USPs –

– Learn basic and advanced concepts of NLP.

– Understand deep learning methods to carry out NLP projects.

– Perform text classification and entity recognition through algorithms.

– Develop your own chatbot to assist in fetching search results.

– Understand vector space models and dialog systems in NLP.


Duration: 5 Weeks

Rating: 4.6 out of 5

You can Sign up Here


Review: Great thanks to this amazing course! I learned a lot on state-to-art natural language processing techniques! Really like your awesome programming assignments! See you HSE guys in next class! – GY


So, these were the 5 Best NLP Python Courses, Classes, Tutorials, Training, and Certification programs available online for 2020. Hope you found what you were looking for. Wish you Happy Learning!