You may know, Artificial Intelligence has been adopted by various industries like healthcare, automotive, manufacturing, etc. Natural Language Processing is a form of AI that helps in understanding, interpreting, and analyzing human language. Broadly speaking, NLP becomes important to unlock the value in unstructured data and pull out the required information for companies.
It has many applications, including face recognition, chatbots, voice recognition, and more. It’s been in high demand for the past few years. Hence, there’s a series of Best NLP Python Courses I have mentioned below for you.
Why Should You Take NLP Courses?
Before you look at the list, you should learn how NLP is changing different industries. NLP-based applications have increased its global market size to USD 26.2 billion. It is expected to grow to USD 161.81 billion by 2029.
Payscale says the average NLP engineer salary is $115K per year. With the growing demand for NLP engineers, you will see a vast increase in job opportunities for engineers and programmers. It is the right time to start learning Natural Language Processing for upgrading your career. In addition, you must know the Python programming language. If you are not familiar with Python, you can take the best python courses. Don’t miss your chance to start your career journey and lead your career.
Table of Content
- 1 Best NLP Python Courses, Certification, Tutorials, Training, Classes Online
- 1.1 Natural Language Processing [Coursera]
- 1.2 Data Science: Natural Language Processing (NLP) in Python [Udemy]
- 1.3 NLP Natural Language Processing with Python [Udemy]
- 1.4 Introduction to Natural Language Processing in Python [DataCamp]
- 1.5 Hands-On Natural Language Processing (NLP) using Python [Udemy]
- 1.6 Getting Started with Natural Language Processing with Python [Pluralsight]
- 1.7 NLP with Python for Machine Learning Essential Training [LinkedIn]
- 2 Frequently Asked Questions
- 3 Conclusion
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Best NLP Python Courses, Certification, Tutorials, Training, Classes Online
- Best Overall Natural Language Processing [Coursera]
- Best for Data Science Data Science: Natural Language Processing (NLP) in Python [Udemy]
- Best for Python NLP Natural Language Processing with Python [Udemy]
- Best for Basics Introduction to Natural Language Processing in Python [DataCamp]
- Best for Beginner Hands-On Natural Language Processing (NLP) using Python [Udemy]
- Best Short course Getting Started with Natural Language Processing with Python [Pluralsight]
Natural Language Processing [Coursera]
Natural Language Processing Course covers all the topics from basic to advanced such as sentiment analysis, summarization, dialogue state tracking, and more. You will be able to build your conversational chatbot to assist with the search. It provides hands-on experience with tasks such as text classification, named entities recognition, and duplicates detection. It has only aimed to find a balance between traditional and deep learning techniques in NLP.
Course Instructor
Under the guidance of 5+ instructors and NLP experts, you will study this Natural Language Processing Coursera Program. You will get an in-depth understanding of all the NLP fundamentals and practical experience through hands-on. It will build your confidence to attract more job opportunities. Hence, this course is divided into five modules to teach you everything.
What You’ll Learn
This Coursera Online NLP Certificate Program is divided into four courses, namely
- Classification and Vector Spaces: You will learn how to analyze tweets using Naive Bayes and logistic regression in this course. It also demonstrates the best technique to use vector space models to identify word associations.
- NLP with Probabilistic Models: With this course, you will understand how to create using dynamic programming and develop a straightforward auto-correct algorithm.
- Sequence Models: In this course, you will train a neural network with GLoVe to analyze tweet sentiment. Moreover, you can train a recurrent neural network for performing named entity recognition (NER) using LSTMs.
- NLP with Attention Models: This course is designed to learn how to translate English to German using an encoder-decoder attention model. You will build a transformer model that can answer any question.
Pros & Cons
Pros
- Free to audit
- Certificate on Completion
Cons
- Prior Knowledge of ML, Python, Maths
Key Highlights & USPs
- Give a general overview of NLP areas such as news flows classification, sentimental analysis, spam filtering, etc.
- Learn how to perform text classification tasks using deep learning techniques from imported files.
- How language modeling and sequence tagging works for search engines or chatbots.
- Understand how vector space models of Semantics can be used for search and data exploration.
- Gain the knowledge to formulate sequence to sequence tasks in NLP.
- Build your own dialog systems like Apple’s Siri or Amazon’s Alexa using Natural language understanding and Dialog Manager systems.
- Get full lifetime access to 44 videos, 10 reading materials, and 9 quizzes to enhance your knowledge.
Who is it for?
A Python developer or machine learning practitioner can opt for this NLP Course Online Free. If you want to study Machine learning and become a machine learning engineer, go and Check the Best Python for Machine Learning Courses and Specializations. In the end, you will receive a shareable certificate of completion to display on your Linkedin profile or printed resumes.
Rating: 4.4/5
Students Enrolled: 100, 553
Duration: 5 weeks
Data Science: Natural Language Processing (NLP) in Python [Udemy]
Natural Language Processing is the part of Machine Learning and Data Science used for performing text and speech recognition. It will not require hard calculations and knowledge of deep learning methods. You only have to use Python programming experience to start coding for NLP. You will write a Cipher Decryption Algorithm from scratch. This NLP in Python course will train you for building NLP tools and apply them for applications in warfare and espionage. It’s a course full of real-life projects to improve your skills.
Course Instructor
Lazy programmer inc created this Natural Language Processing Course, known as a data scientist and machine learning engineer. He has taught undergraduates and graduates in data science, computer graphics, statistics, machine learning, and algorithms. He designed this program to give the benefit of applying machine learning and NLP to practical problems.
Pros & Cons
Pros
- Well-structured curriculum
- Certificate of completion
Cons
- Prerequisites for writing Python code
Key Highlights & USPs
- This Udemy NLP in Python Course consists of 15 sections and 88 video lectures to learn practical NLP tools and techniques.
- Build character-level language models using the Markov principle and genetic algorithms.
- How to use more traditional machine learning to construct a spam-detector.
- Grasp an understanding of how to use sentimental analysis and apply its techniques on Twitter for predicting the stock market.
- Enable to develop practical skills by using tools like the NLTK ( natural language toolkit) library.
- In the end, you can solve the problem of article spinner with what you’ve learned.
- Master the NLP for using it as an SEO or search engine optimization tool for Internet Marketers.
Who is it for?
The NLP Python course is for students who are comfortable with Python and want to learn about Machine Learning. If you have basic math knowledge, it would be helpful for you. After successful completion, you will build an article spinner, spam detector, and be able to implement machine learning algorithms.
Rating: 4.6/5
Students Enrolled: 39,304
Duration: 12 hours
NLP Natural Language Processing with Python [Udemy]
NLP with Python Course offers you learning resources to learn natural language processing and how it works with Python. First, you will gain knowledge of how to open and work with text files using Python. Second, It will prepare you to use regular expressions for searching custom patterns inside the text files. This Udemy NLP Python Course covers subjects like stemming, lemmatization, stop words, tokenization, and many more. You will understand machine learning with the Scikit-learn library and some of the advanced topics.
Course Instructor
Jose Portilla is the head of Data Science, designed this Natural Language Processing Online Course. He will teach from the very beginning all the concepts that include machine learning, spacy, Nltk, Scikit-learn, Deep learning, and more for conduction Natural Processing.
Pros & Cons
Pros
- Excellent and concise curriculum
- Certificate on Completion
Cons
- No free course audit
Key Highlights & USPs
- This NLP Python Course on Udemy comprises 9 sections and 80 video lectures to teach how to utilize the Natural Language Toolkit for Python.
- Develop knowledge of using Spacy library for fast tokenization, parsing, entity recognition, and text lemmatization.
- Understand about part-of-speech tagging where Python Scripts will automatically assign words in the text files.
- Explore the unsupervised machine learning technique for NLP.
- Create semantic word vectors with the word2vec algorithm.
- Able to build chatbots using deep learning methods.
- Get full lifetime access to 2 downloadable resources, 2 articles, and 11.5 hours of on-demand video.
Who is it for?
This Udemy NLP with Python Course is for Python developers who are interested in learning Natural Language Processing. If you are not familiar with Python, I would suggest you take Best Python Online Certifications. In this way, you can dive into the new technologies. Upon completion of this course, you will develop a strong foundation of NLP using Python and implement all Python libraries for machine learning models.
Rating: 4.6/ 5
Students Enrolled: 46,327
Duration: 12 hours
Introduction to Natural Language Processing in Python [DataCamp]
With Datacamp, you can learn Natural Language Processing fundamentals using Python. This Natural Language Processing Program will teach you how to use NLP tools and techniques for extracting valuable insights from text data. By the end, you will understand how to use basic Python libraries and the NLTK library to utilize deep learning methods for solving problems.
Course Instructor
Katherin Jarmul created this Datacamp NLP Python Course to strengthen the foundation of processing, parsing text, and building their fake news classifiers. She is the founder of a data analysis company called Kajmistan that helps companies analyze data and train their employees as data analysts with basic Python.
Pros & Cons
Pros
- Great introduction to NLP
Cons
- Require to take Python Data Science Tutorial before
Key Highlights & USPs
- This Datacamp NLP using Python Program will upgrade your skills in four chapters, namely:
- Regular expressions and word tokenization
- Simple topic identification
- Named-entity recognition
- Building a fake news classifier
- Introduce you to the key concepts of NLP such as word tokenization and regular expressions to parse text.
- Identify topics from text with the help of NLP models.
- Experiment with bag-of-words and Tf- IDF using NLTK.
- Learn to find out the who, what, and where of your texts using pre-trained models.
- Gain a firm grasp on new libraries like Polyglot and spaCy.
- Build a fake news detector using supervised machine learning.
- Get unlimited access to 15 video lectures, 51 exercises, and real-world case studies for practical enhancement.
Who is it for?
This NLP in Python Course is for Data Scientists and Python Developers who are interested in natural language processing to explore machine learning. With a little knowledge, you can enroll and complete the course at your own pace. By the end, you will gain the foundation for processing and parsing text as you learn Python.
Rating: 4.5/5
Students Enrolled: 75,839
Duration: 4 hours
Hands-On Natural Language Processing (NLP) using Python [Udemy]
Natural Language Processing using Python Course offers you a chance to learn the various concepts of NLP and implement them. It is a project-based training program where every module prepares you for the main objective to understand the use of NLP. You will build a text classifier for predicting real-time sentiments and an article summarizer to fetch articles from websites. In the end, you will gain a deep understanding of NLP and how to apply it in the real world.
Course Instructor
This Hands-On Natural Language Processing Tutorial is taught by the Instructor Next Edge Coding. He is a full-stack developer and experienced in machine learning, data science. Under the guidance of a data enthusiast, you will understand Natural language Processing and get a boost to your career growth.
Pros & Cons
Pros
- Project-based course
- Certificate on Completion
Cons
- Require basic programming and math skill
Key Highlights & USPs
- Learn to install NLP Python and its advantages for solving real-life challenges.
- Cover all the different modules available in NLP.
- Build Natural Language Processing-based applications and use them for various purposes.
- Understand how to work NLP with Numpy and Pandas libraries.
- Create your own text summarizer for predicting valuable results from tweets and fetching summaries from articles on the websites.
- Get practical experience by performing your skills on mini projects and hands-on throughout the course.
- Free access to 8 articles and 10.5 hours of on-demand video.
Who is it for?
This NLP using Python Course is suitable for learners who want to study data science and natural language processing. You should have Python programming experience to enroll in. After completing this Datacamp course, you will earn a certificate of completion. This certificate will showcase your skills and open doors for advancement in your current organization.
Rating: 4.5/5
Students Enrolled: 7,735
Duration: 11 hours
Getting Started with Natural Language Processing with Python [Pluralsight]
Pluralsight Natural Language Processing Course is all about taking raw data and driving insights by processing text. You will learn natural language processing and machine learning techniques. Natural language processing is a powerful tool for extracting value from the data. It provides you the chance to use NLTK for scraping the websites and understand how to auto-summarize text using machine learning. In the end, you can process the raw data and apply machine learning algorithms for text processing.
Course Instructor
Swetha Kolalapudi is the author of this Natural Language Processing with Python course. She designed it to wrap up every topic of NLP for you to explore and know how to classify text using machine learning.
Pros & Cons
Pros
- Short and Simple Course
- Free Audit
Cons
- Require working experience with Python
Key Highlights & USPs
- This Natural Language Processing with Python Tutorial will teach standard NLP techniques in three classes, including:
- Introduction
- Auto-summarizing text
- Classifying Text with Machine Learning
- Recognize how Natural Language Processing applications work and learn about stemming and part-of-speech tagging.
- Learn about stemming and part-of-speech tagging.
- Discover different types of machine learning problems in NLP.
- Develop knowledge of auto-summarizing text using a Rule-based model.
- Understand the clustering workflow and K-means clustering.
- Build machine learning models for performing NLP tasks.
Who is it for?
It is one of the NLP with Python Courses Online for beginners who want to learn this powerful skill. There are quintillions of data available on the Internet. Natural Language Processing helps to bring profitable results from reviews, surveys, web pages, or emails. As a result of taking this course, you will be able to apply machine learning algorithms confidently to raw text data.
Rating: 4.5/5
Duration: 2 hours
NLP with Python for Machine Learning Essential Training [LinkedIn]
LinkedIn NLP with Python Course provides you with the knowledge for tackling complex problems using machine learning. There’s an abundance of text data generated from the Internet to derive immense value from the raw data. This Machine Learning Essential Training Program covers text summarization, tokenization, and semantic analysis concepts. You can also check the compiled list of Best Python Machine Learning Courses to know how Python is used for Machine learning.
Course Instructor
The creator of this Linkedin Learning Machine Learning Course, Derek Jedamski, is a skilled data scientist with deep knowledge in machine learning. He will help you to understand advanced NLP methods, data cleaning, and vectorization techniques.
Pros & Cons
Pros
- Access to quizzes to test your knowledge
Cons
- Require intermediate skills in Python and Maths
Key Highlights & USPs
- The LinkedIn Learning platform has divided this data analysis using python course into 7 lessons to teach step-by-step.
- Learn to install Anaconda Python on windows and write code with Jupyter Notebooks.
- Build knowledge of using data structures in Python.
- Get to work on Anagrams and palindromes.
- Create Numpy arrays for storing and manipulating the data.
- Gain practical knowledge by using Numpy to identify and visualize weather patterns.
- Learn to use Panda data frames to analyze the data.
- Discover methods and techniques of using Python on real case studies, for eg, the Popularity of baby names.
Who is it for?
This Intermediate NLP with Python for ML training is for those who are skilled enough in using Python for machine learning and Natural Language Processing. It offers a learning path to understand NLP more.
Rating: 4.5/5
Students Enrolled: 126,141
Duration: 4 hours
Frequently Asked Questions
Is Python good for NLP?
Python is an excellent choice for NLP because of its simple syntax and transparent semantics. It is a really good programming language and takes less time to execute. Python is a versatile tool that helps machines to process natural languages easily.
Developers find it more useful for handling NLP related tasks such as text classification, part-of-speech( POS) tagging, topic modeling, and semantic analysis.
How do I start a career in NLP?
Natural Language Processing codes require a good amount of Python knowledge. If you are a Python, enroll in one of the courses from the above list. You should have prior knowledge of Machine learning to specialize in NLP.
You can start from the best Machine learning Courses and switch on the NLP Courses and Certifications to get an entry-level position in NLP Engineering.
Conclusion
I hope that you find it quite interesting and informative. You may find a course that suits your needs. Learning Natural Language Processing will help you land a lucrative job and get a hike from your prospective employers. There’s no waste in adding one more valuable skill to your CV.
The list consists of only the Best NLP Python Courses and Certifications to enroll anytime and learn from anywhere. If there’s any question regarding, feel free to ask. You can also check the list of data science and machine learning courses from Geektonight.