Coursera Project Network
K-Means Clustering 101: World Happiness Report
Coursera Project Network

K-Means Clustering 101: World Happiness Report

Taught in English

Ryan Ahmed

Instructor: Ryan Ahmed

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Beginner level

Recommended experience

1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.7

(13 reviews)

What you'll learn

  • Understand how to leverage the power of machine learning to perform unsupervised segmentation

  • Learn how to use Plotly to visualize geographical data

  • Learn how to obtain the optimal number of clusters using the elbow method

Details to know

Shareable certificate

Add to your LinkedIn profile

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Beginner level

Recommended experience

1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.7

(13 reviews)

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

Placeholder

Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
Placeholder

About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Understand the problem statement and business case

  2. Import datasets and libraries

  3. Perform exploratory data analysis

  4. Perform data visualization - part 1

  5. Perform data visualization - part 1

  6. Prepare the data to feed the clustering model

  7. Understand the intuition behind k-means clustering algorithm

  8. Find the optimal number of clusters

  9. Apply k-means using scikit-learn to perform segmentation

  10. Visualize the clusters

Recommended experience

Basic python programming and mathematics.

8 project images

Instructor

Ryan Ahmed
Coursera Project Network
60 Courses110,990 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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."

Learner reviews

Showing 3 of 13

4.7

13 reviews

  • 5 stars

    69.23%

  • 4 stars

    30.76%

  • 3 stars

    0%

  • 2 stars

    0%

  • 1 star

    0%

CP
5

Reviewed on May 29, 2022

AB
4

Reviewed on Dec 17, 2022

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ 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