Organisations all around the world are using data to predict behaviours and extract valuable real-world insights to inform decisions. Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government.


Foundations of Data Science: K-Means Clustering in Python


Foundations of Data Science: K-Means Clustering in Python



Instructors: Professor Matthew Yee-King
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What you'll learn
Define and explain the key concepts of data clustering
Demonstrate understanding of the key constructs and features of the Python language.
Implement in Python the principle steps of the K-means algorithm.
Design and execute a whole data clustering workflow and interpret the outputs.
Skills you'll gain
Tools you'll learn
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There are 5 modules in this course
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Reviewed on May 16, 2020
This course gives us a good balance between theory and practice. I wish there was an intermediate or advanced level to continue.
Reviewed on Jun 28, 2020
Very interesting course! The lecturers explain concepts thoroughly which makes the concepts easy to understand even for people without much knowledge in Data Science
Reviewed on Feb 12, 2025
The content is beginner-friendly and gives students the tools they need to begin understanding how to use Python for Data Science.
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