Mastering NLP Basics: The Ultimate Guide to the Top 5 Beginner-Level Courses

Mastering NLP Basics: The Ultimate Guide to the Top 5 Beginner-Level Courses

Natural Language Processing (NLP) as a branch of computer science has been a part of various studies which can be traced back for as far as 50 years and more. If you are somebody who is intrigued by the idea of natural language processing and wants a review of all the beginner-level courses for it, this list article is perfect for you.?


Introduction to Natural Language Processing

Natural language processing (a part of artificial intelligence) is involved with making computers able to comprehend text and voice on their own, but in the manner in which a human being would do. NPL allows computers to understand human language in the form of text or voice. It manages programs that transform the text into different languages and listen and respond to commands. Additionally, it also helps businesses in their operational work and has a growing role in entrepreneurial solutions.?

We have constructed this list article which consists of the top skills required, course providers and beginner-level natural language processing courses. Read along to find out how you can start your journey in this realm and choose a course that is best suited for you.


Top Natural Language Processing Skills Required at a Beginner Level

The important natural language processing skills that you will need to acquire in the beginning are as follows:

Basic Text Processing

One of the crucial skills that you need to acquire is the important methods for text processing. You should know how to manipulate text back and forth with the use of regular expressions when working in natural language processing.

Word Vectors

Word vectors are the most important techniques used in natural language processing. They are useful in understanding the application of artificial neural networks in the context of natural language processing.?


Top Natural Language Processing Learning Platforms

There are various learning platforms available for natural language processing. The beginner-level top course providers are listed as under:

  • edX: It offers a wide range of high-quality online courses from the world’s top universities and institutions in various disciplines with some courses at no charge.
  • QuickStart: It is one of the leading IT skills training platforms, accredited by Microsoft, Cisco, NetApp, ITIL and various other certification bodies. Their learning platform is incorporated with AI with multi-modal knowledge transfer.
  • DataCamp: It equips companies and individuals with all the skills they need to work with data in the real world. Their USP is that they provide a hands-on learning experience with interactive exercises, short videos and job assistance.
  • Edureka: It is an online course and certifications provider in upcoming and trending technologies with the highest course completion rate in the industry. They provide real-time doubt resolution with lie instructors, 24/7 learning assistants and unlimited access to learning resources.
  • Future Learn: It is an online certification and degree provider that has a course for every professional skill that you want to master. They have a faculty of educators from top universities and cultural institutions.


Top Natural Language Processing Courses

We have prepared a list of the top natural language processing courses available for beginner-level learners that you can refer to:

NLP Certification Training with Python by Edureka

  • This course will guide you through the basics of text processing, as well as how to classify texts using Machine Learning algorithms.
  • Pedagogy: This instructor-paced course has a duration of 3 weeks and comes with lifetime access, instructor-moderated discussions and post-course interactions.
  • Hands-on approach: This course emphasizes case-based learning and human interaction for its learners.
  • Assessment: This course is equipped with project-based situations for the learners to practice self-evaluation.?
  • Price: You can join this course for
  • ?17,795
  • $584
  • £485


Professional Certificate in Text Analytics in Python by edX

  • This certificate teaches you the fundamental techniques of text analytics and natural language processing and reveals the cognitive science that makes this possible.
  • Pedagogy: This self-paced course has a duration of 3 months and comes with instructor-moderated discussions and post-course interactions.
  • Faculty: This course has international faculty.
  • Assessment: The assessment method of this course involves graded assignments and exams.
  • Price: You can join this course for
  • ?31,246
  • $448
  • £485


Natural Language Processing by Quickstart

  • This course will cover the basics of NLP as well as its role in emerging technologies.
  • Pedagogy: This self-paced course has a duration of 28 hours and comes with lifetime access, instructor-moderated discussions and post-course interactions.
  • Hands-on approach: This course emphasizes case-based learning and provides an alumni network for the learners.
  • Assessment: There are assessment tests for self-evaluation.
  • Price: You can join this course for?
  • ?6,880
  • $99
  • £83


Introduction to Natural Language Processing in Python by DataCamp

  • This course will cover the basics of natural language processing (NLP). It will show you how to extract topics and separate words from the text.
  • Pedagogy: This self-paced course has a duration of 4 hours and includes instructor-moderated discussions and post-course interactions.
  • Hands-on approach: This course comes with hands-on training and virtual labs.
  • Faculty: This course has international faculty.
  • Price: You can join this course free of charge.


  1. Introduction to Conversational Interfaces by Future Learn

  • This course will give you an overview of voice-based and conversational interfaces.?
  • Pedagogy: This self-paced course has a duration of 2 weeks and comes with lifetime access, instructor-moderated discussions and post-course interactions.
  • Faculty: This course has international faculty who provide an alumni network.
  • Price: You can join this course for
  • ?460/month
  • $28/month
  • £24/month


Final Thoughts

If you are a beginner interested in learning Natural Language Processing (NLP), the top NLP courses discussed in this article provide an excellent starting point. These courses offer comprehensive content and practical exercises to help you grasp the fundamentals of NLP and gain hands-on experience in working with textual data.

The recommended courses cover essential concepts such as text preprocessing, tokenization, part-of-speech tagging, named entity recognition, sentiment analysis, and language modeling. By enrolling in these courses, you will learn about popular NLP libraries, techniques, and algorithms commonly used in the field.

Each course is carefully selected based on its credibility, pedagogy, instructors, hands-on training and the quality of the curriculum. Whether you prefer video lectures, interactive coding exercises, or real-world projects, there are options available to suit your learning style and preferences.

By completing these beginner-level NLP courses, you will develop a solid foundation in NLP techniques and gain practical skills that can be applied to a wide range of applications, including sentiment analysis, chatbots, machine translation, and text summarization.

Additionally, these courses often incorporate hands-on projects, allowing you to apply your knowledge and gain practical experience in solving real-world NLP problems. This practical experience is invaluable for building a strong portfolio and demonstrating your proficiency to potential employers or clients.

In conclusion, by investing your time and effort in these top NLP courses for beginners, you will embark on a rewarding journey of understanding and working with natural language processing techniques. Embrace these courses, practice regularly, and stay curious to further develop your NLP skills and unlock exciting opportunities in text analytics, artificial intelligence, and language understanding.

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