University of Illinois at Urbana-Champaign

Cluster Analysis in Data Mining

This course is part of Data Mining Specialization

Taught in English

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Jiawei Han

Instructor: Jiawei Han

41,420 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.5

(403 reviews)

|

89%

16 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.5

(403 reviews)

|

89%

16 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Data Mining Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

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There are 6 modules in this course

You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course.

What's included

1 video3 readings1 quiz1 discussion prompt1 plugin

What's included

13 videos2 readings2 quizzes

What's included

15 videos3 readings1 quiz1 programming assignment

What's included

9 videos2 readings2 quizzes

What's included

10 videos1 reading1 quiz1 programming assignment

In the course conclusion, feel free to share any thoughts you have on this course experience.

Instructor

Instructor ratings
4.1 (24 ratings)
Jiawei Han
University of Illinois at Urbana-Champaign
4 Courses64,891 learners

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Recommended if you're interested in Data Analysis

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Learner reviews

Showing 3 of 403

4.5

403 reviews

  • 5 stars

    66.25%

  • 4 stars

    23.32%

  • 3 stars

    5.70%

  • 2 stars

    2.23%

  • 1 star

    2.48%

PR
4

Reviewed on Jul 28, 2020

HM
4

Reviewed on Jul 22, 2021

GV
5

Reviewed on Sep 19, 2017

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Frequently asked questions