What are the Best NLP Courses on Udemy?

This article is for you, if you are in search of Best NLP Courses on Udemy.

As we are hearing more frequently these days, Artificial Intelligence(AI) is the future of this world. As shown in many Hollywood movies, the industries, retail stores, and home services filled with robots and machines are not in a very distant future. Businesses nowadays are using artificial intelligence to study and analyze large amounts of data, social media comments, etc., to arrive at action points. The concept that allows artificial intelligence to do this work is nothing other than ‘Natural language Processing; or NLP.

NLP engineers are in very much demand nowadays to create chatbots and other online interactive characters. The efficiency of the working of these tools depends on how effectively they can understand human languages that are more than 6000 on this globe. Only the skilled NLP engineers can design such a machine that can be used for effective communication with users, recording the conversation or comments, analyzing the trend of sentiment among the customers, and giving insight to the businesses or corporations on chalking out the further action plan. 

Let us check out the top Best NLP Courses on Udemy that will transform you into a market-ready NLP expert.

Reviews of 10 Best NLP Courses on Udemy

1. NLP – Natural Language Processing with Python by Jose Portilla

NLP – Natural Language Processing with Python by Jose Portilla

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This course by Jose Portilla, head of data science at Pierian Data Inc., teaches you the NLP using machine learning, NLTK, deep learning, Scikit-learn, and Spacy platforms. The entire course is delivered on the python platform. You can learn to work with text files, Stemming and lemmatization, visual POS and NER using spacy, using Scikit-learn for text classification, non-negative matrix factorization, ultra-fast tokenization, part of speech tagging, sentiment analysis, and many more.

This eleven-hour-long course with video lectures, two reference articles, and two downloadable resources has been delivered in straightforward language by the tutor. As per the reviews of the students, the tutor has been successful in explaining the basics but not wasting time elaborating elementary, self-explanatory codes. You will also learn named entity recognition and how to feed simple text information to your machine and make it understand the concepts like money, time, etc., from that information.


2. Data Science: Natural Language Processing(NLP) in Python by Lazy Programmer Inc.

Data Science Natural Language Processing(NLP) in Python by Lazy Programmer Inc.

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In this 76 lecture course, attended by more than 38,000 students worldwide, the tutor teaches you the application of spam detection, sentiment analysis, decrypting ciphers, latent semantic analysis, and article spinners. You will also get a free course on Numpy pre-requisites that teaches about Numpy, Pandas, Scikit-learn, and the basics of machine learning. 

You are guided to build multiple practical systems in this course. It does not need any mathematics, as it directly takes you into python coding. Many useful NLP tools such as character-level language models and genetic algorithms using Markov principles are also introduced. This ten-hour-long video lecture has been designed to be very interesting and intuitive, with a question and answer section at the end of every lesson.


3. Deep Learning and NLP A-Z: How to Create a Chatbot by Hadelin De Ponteves

How to Create a Chatbot by Hadelin De Ponteves

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Chatbots are very prominent tools for businesses and organization who wants to expand their consumer base and bring down the complaints to zero. Deploying a chatbox for communication with the user and analyzing the data reduces the burden on human resources. This course, attended by more than 25,000 students, takes you through a step-by-step procedure for creating a chatbot.

You will also learn the difference between classical and deep learning, types of natural language processing, beginning-to-end deep learning models, seq2seq architecture and training, and beam search decoding. The above concepts are taught on Tensorflow and Python platforms. This course consists of twelve-hour-long video courses along with nineteen reference articles and eight downloadable resources for practicing. A team of reputed data scientists has curated this course. 

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4. Deep Learning: Advanced NLPs and RNNs by Lazy Programmer Inc.

Deep Learning Advanced NLPs and RNNs by Lazy Programmer Inc.

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This course, curated by a team of NLP experts at Lazy Programmer Inc., aims to teach neural machine translation systems that help create chatbots. NLP is taught through seq2seq, attention, CNNs, RNNs, and memory networks. Another best part of this course is it gets updated now and then. This course also teaches you to build text classification that can be used for spam detection, sentiment analysis, etc.,

By completing this course, you will build neural machine translation, question answering, word embedding algorithms, and many more. The best part of this course is that you are also taught to solve problems faced during machine translation using bidirectional RNNs, sequence-to-sequence, attention, memory networks, etc.; this course teaches you the subject in an 8.5-hour extended video.


5. Investment Analysis with Natural Language Processing (NLP) by Fervent

Investment Analysis with Natural Language Processing (NLP) by Fervent

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This course is one of the most practical Natural Language Processing because this course concentrates primarily on investment and financial analysis. You will learn how to build a robust and rigorous investment analysis from the ground up in eight and a half hours. You will learn to study firm-level sentiment from the start. You can design how to convert your investment idea into a testable hypothesis. 

This course teaches you to work on a large piece of real-world data obtained from authentic sources for free of cost. This will be done through a five-step systematic procedure of working. The five sections to the mastery of the investment analysis include Introduction to NLP and sentiment analysis in finance, hypothesis design, and exploratory data analysis, estimating firm-level sentiment, estimating sentiment portfolio returns and NLP-based investment returns. 


6. Introduction to Natural Language Processing (NLP) by Brian Sacash

Introduction to Natural Language Processing (NLP) by Brian Sacash

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If you came to know about this fantastic concept of NLP from a friend and want to check out NLP basics within a short time, then this course by Brian is for you. This course teaches you how to analyze text data within just three hours. It introduced you to the NLP with the help of the Python and Natural Language Processing tool kit. You will be provided with three reference articles and sixteen downloadable resources for your practice.

This course acts as a motivator for anyone who wants to start and establish their NLP arena. Brian has over a decade of experience in data analysis. As per the reviews by his students of this course, Brian leaves you craving for the next video every time you complete one. He has made this course interestingly and straightforwardly. 


7. Natural Language Processing (NLP) with Python and NLTK by Carlos Quiros

Natural Language Processing (NLP) with Python and NLTK by Carlos Quiros

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This course teaches you to collect and analyze text data, visualize data, build a modelv and NLP apps through a practical approach. You will also learn to develop functional applications. This course also teaches you to use essential coding tools and review machine learning algorithms and concepts. After completing the course, you will master test data visualization, model building, test data assembly, text data pre-processing, and finally, developing applications using NLP.

During the course, you will also learn some prominent NLP subjects such as regular expressions, chunking, N-grams, scrapping the web, frequency chart, stemming and lemmatization, co-occurrence matrix, etc. word cloud library, and many more. You will be provided with five articles and seven downloadable resources for your practice.


8. U&P AI –Natural Language Processing with Python by Abdulhadi Darwish

U&P AI –Natural Language Processing with Python by Abdulhadi Darwish

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This course helps you to become an NLP engineer within six hours. You will be guided to create real-life projects using Python for sentiment analysis, text mining, and search engines. More than 13,000 students have attended this course till now. According to the reviews given by the former students, this course has fulfilled the needs of a beginner to become well versed with the language using the Python platform. 

This course is being updated as per the latest requirements. Four articles and five downloadable resources help you understand the concept more deeply and help you practice. This course teaches you to build new vocabulary for any NLP model, deal with wordnet, reduce dimensions of your vocabulary for machine learning models, construct a gender identifier, and many more.


9. The Complete Natural Language Processing(NLP) Course by Mle Tech Academy

The Complete Natural Language Processing(NLP) Course by Mle Tech Academy

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This course, designed and prepared by a team of expert data scientists at Mle Tech Academy LLC., takes you through the complete journey of becoming an expert NLP engineer from a beginner in just three hours. You will learn basic string processing in Python, tokenize text, convert text and words to vectors, identify names, dates, locations, and identify grammatical parts of the sentence.

You will also learn to program computers to process large natural language repositories effectively. Analyzing text to its meaning and intent is another best element of NLP taught in this course. Web developers, software developers, beginners can opt to enroll themselves in this course to get a comprehensive knowledge of the subject from the beginning to the end.

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10. Natural Language Processing(NLP) Fundamentals in Python by Ivo Bernardo

Natural Language Processing(NLP) Fundamentals in Python by Ivo Bernardo

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This course uses the Python platform to teach NLP. In this 14.5hour-long video lecture, you will learn how to obtain text data from web pages, read files with textual data, understanding text vectorization, pre-processing text for analytics, work with the NLP library of tools, dealing with strings, understanding the intuition behind word vectors, developing a sentiment analysis tool and many more. 

Tutor updates this course immediately after a software or conceptual update. You will learn NLP and text mining by designing word vectors and learning how to do sentiment analysis using the NLTK platform and word2vec and neural vectors. This is a relatively new course on the Udemy platform hence is loaded with the latest updates. Two reference articles are provided to offer you extra knowledge on this subject.

Conclusion

Research conducted by none other than the reputed World Economic Forum, more than 130 million jobs across the world will be created in the machine language and algorithms’ field by 2022. More companies would like to recruit well-versed NLP professionals and build machines to decipher the human language and interact with them effectively. 

Also, a study by NASSCOM finds out that the skills set available to satisfy the demand for these skills does not match the current scenario. There is a lack of proficient NLP engineers who could build computer programs that could understand the language of humans. Learning these skills can push you ahead in the massive amateur competition in this field. The dynamics of NLP are evolving fast day by day. The text-based interaction has now evolved to voice-based exchange and then to visual-based interaction.

To keep up with the pace of evolution of machines and artificial intelligence, the NLP professionals and beginners need to improve their skills using the above top 10 best NLP courses on Udemy. If you have more queries regarding NLP courses on the Udemy platform, please let us know in the comment section. We will come back to you as soon as possible.

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