Natural Language Processing (NLP) in R

Open to
Government analysts
Training category
Analytical, Data science
Type of training
2 days
Data Science Campus Faculty
Data Science Campus Faculty

Natural Language Processing (NLP) is used for processing and analysing natural language. NLP is rapidly evolving in line with new approaches, toolsets, and the increase of data availability.

In this introductory course, we will cover the basics of NLP topics including:

  • the process of “cleaning” a dataset
  • how to explore a dataset
  • how to apply simple feature engineering techniques to transform the data – this will help you expand your analytical capabilities

Who this course is for

This course is aimed at learners who are not experts in natural language processing, but are familiar with code in R.

Learning outcomes

On this course you will learn:

  • about the fundamental concepts and techniques of natural language processing
  • how to use a regular expression to extract patterns from text
  • to understand and apply the necessary steps to “clean”, explore, and transform the dataset in the appropriate order
  • how to use text analysis or “sentiment analysis” with real datasets

How to book

Please use your Learning Hub account to access the course online. Alternatively, please email


If you would like more information about this course, please email