About this Course

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Shareable Certificate
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100% online
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Intermediate Level

Basic Python proficiency, including Python's built-in functions, logic, and data structures, is recommended.

Approx. 13 hours to complete
English

What you will learn

  • Describe the concept of topic modeling and related terminology (e.g., unsupervised machine learning)

  • Apply topic modeling to marketing data via a peer-graded project

  • Apply topic modeling to a variety of popular marketing use cases via homework assignments

  • Evaluate, tune and improve the performance the topic model you create for your project

Skills you will gain

  • Topic Model
  • Machine Learning
  • Python Programming
  • Unsupervised Text Classification
  • Data Structure
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

Basic Python proficiency, including Python's built-in functions, logic, and data structures, is recommended.

Approx. 13 hours to complete
English

Offered by

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University of Colorado Boulder

Start working towards your Master's degree

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

Syllabus - What you will learn from this course

Week
1
Week 1
4 hours to complete

What is topic modeling?

4 hours to complete
1 video (Total 20 min), 3 readings, 1 quiz
Week
2
Week 2
4 hours to complete

The Assumptions of a Topic Model, Bag of Words, and Natural Language Processing

4 hours to complete
2 videos (Total 24 min), 1 reading, 2 quizzes
Week
3
Week 3
1 hour to complete

Prepping Amazon Review Data

1 hour to complete
2 videos (Total 27 min), 2 readings, 1 quiz
Week
4
Week 4
2 hours to complete

Pre-Processing Text and Training a Topic Model

2 hours to complete
2 videos (Total 29 min), 2 readings, 1 quiz

About the Text Marketing Analytics Specialization

Text Marketing Analytics

Frequently Asked Questions

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