NEWSLETTER
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When you are about to want to learn something new, an important factor to consider is how much it will cost you. With the way the world is and the cost of living, we don't blame you. It can be difficult to want to improve your career and improve your skills without considering the costs.
That being said, for those of you who are researching natural language processing (NLP), want to know more about it, or want to steer your career in that direction, this blog is for you.
I will take 5 courses to master NLP, and you won't need to spend a dime!
Level: beginner
Some of you may be completely new to the world of data science and NLP, so getting a good foundation in the sector is your number one priority.
A course offered by the University of Canterbury in the UK offers a 6-week course where you will learn the basic techniques of computational linguistics, as well as the cognitive science that makes it possible and the ethics we need to use it correctly.
It is made up of 3 sections:
- Module 1. Why use text analysis?
- Module 2. Working with text data
- Module 3. Text classification
This course is self-paced and is the first part of the Professional Certificate in Text Analytics with Python. If you want to progress, you always have that option or you can do it as a standalone course.
Ready to try it?
Link: Introduction to natural language processing
Intermediate level
As a continuation of the previous course, the University of Canterbury offers the second part of the introduction to NLP with a 6-week course that will expand your knowledge of the basic techniques of computational linguistics with the help of different case studies and you will be able to visualize your Departures.
Composed of 3 sections, you will immerse yourself in:
- Module 1. Text similarity
- Module 2. Text Analysis Visualization
- Module 3. Application of text analysis to new fields
Are you done with part 1 and ready to move on to part 2?
Link: Visualization of natural language processing
Level: beginner
Can't commit to 6 weeks and want a quick course that will give you the same knowledge? Okay, we got you.
Udemy offers an Introduction to NLP course that will provide you with the fundamentals of NLP, where you will learn:
- Why NLP is important
- Complexity in the management of NLP
- NLP Business Use Cases
- Different types of NLP problems
- Approach to solving NLP problems
- Apply machine learning concepts
- Word embedding
In less time, you will be able to master NLP with this course, in addition to opening doors to other opportunities where NLP can take your career if you continue to progress.
Interested?
Link: Introduction to NLP
Intermediate level
A course taught by ai/” rel=”noopener” target=”_blank”>Deep learning.ai, an educational technology company that aims to empower people to build a future powered by artificial intelligence through world-class education. The course is intermediate level and will take you approximately 24 hours to complete, on your own time!
You will learn about NLP in TensorFlow, a very popular framework, as well as text processing, including tokenization, and apply RNN, GRU, and LSTM in TensorFlow.
The course is divided into 4 modules:
- Sentiment in the text
- Word embeddings
- Sequence models
- Sequence models and literature.
This course is part of the DeepLearning.ai TensorFlow Developer Professional CertificateTherefore, if you want to progress, you have that option.
Sounds good. good?
Link: Natural Language Processing in TensorFlow
Intermediate level
If you are new to the world of NLP, you may or may not have heard of Google's BERT NLP algorithm. If you're looking into NLP, you should definitely want to know.
This FREE course is offered by Udemy and consists of 3 parts and an hour in length in which you will delve into:
- Part 1: Data Preprocessing
- Part 2: Building the BERT model
- Part 3: Training and evaluation of the BERT model
You'll learn how to perform semantic analysis of movie reviews using IMDB data and a low-code Python library, Ktrain. You will learn all this in Google Colab!
Do you have a free hour?
Link: Natural Language Processing (NLP) with BERT
When starting something new, it's always good to test the waters first. Taking free courses will allow you to assess what the sector is like and if it is something you would like to progress in.
I hope this blog has helped you with exactly that!
nisha arya is a data scientist and freelance technical writer. She is particularly interested in providing professional data science advice or tutorials and theory-based insights into data science. She also wants to explore the different ways in which artificial intelligence can benefit the longevity of human life. A great student looking to expand her technological knowledge and writing skills, while she helps guide others.
