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Natural Language Processing Bootcamp in Python (Udemy.com)

Learn the fundamentals of Text Mining and NLP using Text Processing, NLTK, Sentiment Analysis and Neural Networks

Created by: Ivo Bernardo

Last updated September 2024

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What you will learn

  • Dealing with Strings in Python
  • Working with the Natural Language Toolkit Library
  • Understanding the Intuition behind Word Vectors
  • Pre-Processing Text for Analytics
  • Understanding Text Vectorization
  • Train a Neural Network to generate Word Embeddings
  • Obtain Text Data from Web Pages
  • Read Files with Textual Data
  • Developing a Sentiment Analysis Tool
  • Train a Machine Learning Model

How it compares

Against the other 126 rated Udemy courses in Deep Learning on CourseDuck:

  • Rating4.6 out of 5higher than 65% of them
  • Reviews265#91 of 127 by number of reviews
  • Length18.1 hourslonger than 76% of them
  • Last updatedSeptember 2024earlier than 51% of them

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Course Description

Welcome aboard your inaugural voyage into the vibrant world of Natural Language Processing (NLP) and Text Mining! This course offers a risk-free foray (backed by a 30-day refund policy) into the fundamental concepts that serve as the bedrock for the text data operations of tech giants like Google, Amazon, and Microsoft.


Text mining has become a cornerstone of modern Data Science and Analytics. The profound leap in technology that allows a machine to understand words and phrases has revolutionized tasks like Information Retrieval, Translation, and Text Classification. I'm here to help you navigate these waters and jump from the foundational aspects of classical NLP into the misterious realms of Generative AI Tools (such as ChatGPT).


Our journey will take us from the classical to the neural, exploring the evolution of language processing techniques. We'll begin with traditional statistical methods and work our way up to the cutting-edge world of deep learning and neural networks. By linking theory with practical exercises, I hope to guide you through the NLP World.


Don't fret if Python isn't your forte yet - included in this course is a crash course in Python that will acquaint you with the language and provide the necessary foundation for the rest of the topics we'll cover.

The course will illuminate a variety of key NLP concepts including:


  1. Manipulating the basic building blocks of NLP - strings - in Python;

  2. Tokenizing Sentences and Documents;

  3. Stemming and Lemmatizing words;

  4. Training machine learning models using text;

  5. Extracting the Part-of-Speech Tag from words in a sentence;

  6. Extracting Text Data from a Web Page;

  7. Training a Neural Network to extract Word Embeddings;

  8. Developing your own sentiment classifier (Sentiment Analysis);

  9. Representing Sentences as Tabular Data;

Upon completing this course, you'll be equipped with the skills to construct your own basic NLP applications, and you'll have a strong understanding of the fundamental concepts underlying most NLP algorithms. This knowledge will open doors to more advanced studies in NLP, while providing an understanding of the strategies and techniques utilized by companies when launching their NLP applications.

Embark on this exhilarating journey through the world of NLP with me. Whether you're a newcomer or an expert seeking to broaden your horizons, there's a place for you here. I'm eagerly looking forward to our adventure together in the course!

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Instructor Details

Ivo Bernardo

Ivo Bernardo is an experienced professional driven by an enthusiasm for Data Science and Analytics. As a Partner at DareData Engineering, a startup specializing in the global implementation of machine learning systems for a diverse range of businesses, he had the opportunity to work in multiple phases related to creating value from Data.


With a Master's Degree in Statistics and Business Intelligence from New University of Lisbon, Ivo is also a college teacher and mentor. Over the years, he has assumed the role of an instructor in numerous data science academies, where his true passion shines through – guiding beginners and professionals from diverse industries as they embark on their journey into the realm of Data Science and Analytics.


For those interested connecting or exploring potential collaborations, Ivo welcomes inquiries on LinkedIn and Udemy. Don't hesitate to reach out, as he is open to discussions that could lead to exciting business ventures or innovative partnerships!

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Ivo Bernardo é um profissional experiente impulsionado por um entusiasmo pela Ciência de Dados e Análise. Como Partner na DareData Engineering, uma startup especializada na implementação global de sistemas de machine learning para uma variedade de empresas, teve a oportunidade de trabalhar em várias fases relacionadas à criação de valor a partir de dados.

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Reviews

4.6

265 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Milos Schmidt on 11/4/2025

Very organised, takes you step-by-step from absolute zero to understanding basic and advanced concepts, it has material for two semesters. Explanation 1000 times better than my professors. More for linguists and other humanities than for programmers. Best if you follow along and copy each step on your own (even better if you use your own corpus, something you like).

By Samuel Smith on 2/18/2025

I'm enjoying the scope of the course, Ivo goes through it at the right speed although sometimes slides are brushed past and his facecam can cover the content. Other than that, the applications at the end to work on the material yourself are really cool and challenging.

By Neshant S on 10/24/2024

This course was very informative. I appreciated the projects and extra assignments, they provided a hands-on experience with the material that was taught. I liked the instructor’s choice to include an embedded video, it made the course feel more like a virtual in-person class rather than an online course. I also liked the focus on core concepts, which were explained very clearly. Overall, it was an informative and helpful course.

By Srinibas Masanta on 9/29/2024

I thoroughly enjoyed this course and found it to be highly insightful. The instructor did an excellent job breaking down complex concepts into easily digestible parts. The examples provided were practical, and the hands-on exercises really helped solidify my understanding. I particularly appreciated the clear explanations and the step-by-step approach throughout the lessons. This course exceeded my expectations, and I would highly recommend it to anyone looking to deepen their knowledge in this subject. Truly a 5-star experience!

By Xiang Yang on 5/17/2024

i like this course, the teacher himself is engineer, this is important, many teachers with good reviews are not engineer, the knowledge they teach is different than real knowledge

By Lyonel L Maxime on 2/28/2024

This course is my first look at Natural Language Processing. I appreciate that the instructor took the time out to explain many of the NLP concepts. The explanations were enough to get the concepts, but not so in depth that a beginner would get lost. The Python basics section was good as well.

By Brian Newman on 12/18/2023

The video of your face is overlaying content in the slides as you are speaking. You may want to just remove your face from the video while you are presenting slides.

By Orlov Fedir on 4/9/2023

I really like this course. It starts from the basics and smoothly goes deeper and deeper. I like the way teacher explains things, it's clear and simple. 100% recommended!

By Deepak Tripathy on 2/14/2023

It is a nice short course to understand the basics of NLP. Ido is a good instructor who has designed a simple course to get through NLP basics for beginners. It would be nice to add some more topics related to Deep Learning in NLP. Thanks..

By Diego Rossini on 5/23/2022

Good course. I like how it is structureted. But I have to admit that sometimes variables naming was confusing. For example, in some videos there's "context_word" and "word_contex" as two different variables in the same function.

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Overall Score : 92 / 100