Introduction to Natural Language Processing

  • BeginnerLevel

  • 934+Students Enrolled

  • 5 Hrs Duration

  • 4.6Average Rating

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About this Course

  • Learn core NLP concepts, including tokenization, stemming, lemmatization, and text preprocessing to handle unstructured text data effectively.
  • Master regular expressions for pattern matching and text manipulation, building a strong foundation for advanced NLP tasks and applications.
  • Gain hands-on experience with essential NLP techniques and understand how to prepare text data for machine learning models and analysis.

Learning Outcomes

NLP Fundamentals

Understand core concepts like tokenization and parsing.

Text Preprocessing

Clean, normalize, and prepare text data for analysis.

Regex Mastery

Use regular expressions for pattern matching in text.

Practical Skills

Learn to apply NLP techniques for solving real-world text issues.

Meet the instructor

Our instructor and mentors carry years of experience in data industry

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Kunal Jain

Founder & CEO, Analytics Vidhya

Kunal has 15+ years of experience in the field of Data Science and is the founder and CEO of Analytics Vidhya- the world's 2nd largest Data Science community.

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With this course you’ll get

  • 5 Hours

    Duration

  • Kunal Jain

    Instructor

  • Beginner

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Globally recognized certificate
  • Verifiable online credential
  • Enhances professional credibility
certificate

Frequently Asked Questions

Looking for answers to other questions?

This course is for people who want to start their journey in working with text data and take their first step for understanding Natural Language Processing in an applied manner

The course assumes familiarity with Python and requires understanding of the basics of Machine Learning. No prior knowledge in Natural Language Processing is required.

You can opt for our Free Course Python for Data science in order to get familiarised with Python

You can start by doing the tests at the end of each lesson. In addition, you can apply Natural Language Processing to solve the following Practice Problems at Datahack:

Once you register, you will have 6 month access to complete the course. If you visit the course 6 month after your initial registration - you will need to enroll in the course again. Your past progress will be lost.

You can complete Introduction to Natural Language Processing course in a few hours. You are expected to work on the in course project and you can also participate and compete against other participants at Datahack.The time taken in projects varies from person to person.

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