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
Access provided by Lok Jagruti University
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Gain insight into a topic and learn the fundamentals.
734 reviews
Beginner level
Recommended experience
Flexible schedule
3 weeks at 10 hours a week
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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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Taught in English
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There are 5 modules in this course
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Showing 3 of 734
SS
Reviewed on Jun 29, 2020
A well presented and interesting course. It would have been good to have some more complex examples with the thinking behind them - the exploratory bit/intelligent bit of the process.
TF
Reviewed on Jul 11, 2022
I learnt alot, a very good foundation course. It made me have more interest in learning more in Data Science particularly using Python language
SS
Reviewed on Apr 30, 2020
It is a very detailed and well planned course. However, there could have been a few lectures at the end on training set, testing set etc.
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