This hands-on course equips learners with the foundational knowledge and practical skills to implement K-Means clustering for unsupervised machine learning using the R programming language. Designed for those with a basic understanding of R and statistics, the course guides learners through the process of exploring real-world datasets, preparing data for clustering, and interpreting segmentation results.
R: Apply & Analyze K-Means Clustering for Unsupervised ML
Discover new skills with $120 off courses from industry experts. Save now.
Gain insight into a topic and learn the fundamentals.
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Explain clustering concepts and apply K-Means for unsupervised segmentation.
Prepare, scale, and analyze real-world datasets for clustering in R.
Evaluate clustering effectiveness and recommend data-driven grouping strategies.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
August 2025
Assessments
3 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
There is 1 module in this course
This module introduces learners to the foundational concepts and practical implementation of K-Means clustering using R programming. Through project-based learning, it covers the theoretical underpinnings of unsupervised learning, provides context for customer segmentation problems, and explains the workflow of preparing data, choosing appropriate clustering algorithms, and optimizing results using scaled variables. Designed for learners with a basic understanding of R and statistics, this module bridges conceptual clarity and hands-on execution in real-world clustering scenarios.
What's included
5 videos3 assignments
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Explore more from Machine Learning
Status: Free TrialUniversity of Colorado Boulder
Status: Free Trial
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
More questions
Financial aid available,