About this Course

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100% online
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Intermediate Level
Approx. 29 hours to complete
English

What you will learn

  • Understand how text is handled in Python

  • Apply basic natural language processing methods

  • Write code that groups documents by topic

  • Describe the nltk framework for manipulating text

Skills you will gain

  • Natural Language Toolkit (NLTK)
  • Text Mining
  • Python Programming
  • Natural Language Processing
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 29 hours to complete
English

Offered by

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University of Michigan

Start working towards your Master's degree

This course is part of the 100% online Master of Applied Data Science from University of Michigan. If you are admitted to the full program, your courses count towards your degree learning.

Syllabus - What you will learn from this course

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Week
1
Week 1
9 hours to complete

Module 1: Working with Text in Python

9 hours to complete
5 videos (Total 56 min), 4 readings, 3 quizzes
Week
2
Week 2
7 hours to complete

Module 2: Basic Natural Language Processing

7 hours to complete
3 videos (Total 36 min)
Week
3
Week 3
7 hours to complete

Module 3: Classification of Text

7 hours to complete
7 videos (Total 94 min)
Week
4
Week 4
6 hours to complete

Module 4: Topic Modeling

6 hours to complete
4 videos (Total 58 min), 3 readings, 3 quizzes

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About the Applied Data Science with Python Specialization

Applied Data Science with Python

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