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Course Description

With the rapid growth of text data across industries, knowing how to clean and process it is key to extracting valuable insights. This course gives you hands-on experience with text preprocessing, the foundation of any natural language processing (NLP) workflow.

You will start the course by using regular expressions to identify and edit patterns in text before tackling tasks like converting text to lowercase, replacing characters, and removing unwanted elements. As you progress, you will handle more advanced tasks such as tokenizing text into words or n-grams and filtering out irrelevant stop words. Finally, you will clean messy text by standardizing variations and using techniques like stemming.

By the end of the course, you will be equipped to prepare large text datasets for deeper analysis, paving the way for sentiment analysis and other advanced NLP tasks.

Faculty Author

Sumanta Basu; Sreyoshi Das

Benefits to the Learner

  • Use regular expressions to manipulate and search text
  • Import text data into R and apply text preprocessing techniques
  • Apply advanced preprocessing techniques to standardize complex and messy text

Target Audience

  • Data scientists
  • Computer scientists
  • Analysts
  • User behavior and UX teams
  • Researchers
  • Social scientists

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Type
2 week
Dates
Oct 15, 2025 to Oct 28, 2025
Course Fee(s)
Contract Fee $0.00
Type
2 week
Dates
Jan 07, 2026 to Jan 20, 2026
Total Number of Hours
16.0
Course Fee(s)
Contract Fee $0.00
Type
2 week
Dates
Apr 01, 2026 to Apr 14, 2026
Total Number of Hours
16.0
Course Fee(s)
Contract Fee $0.00
Type
2 week
Dates
Jun 24, 2026 to Jul 07, 2026
Total Number of Hours
16.0
Course Fee(s)
Contract Fee $0.00
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