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Foundations of Data Science: K-Means Clustering in Python

Organisations all around the world are using data to predict behaviours and extract valuable real-world insights to inform decisions. Managing and analysing...

By Professor Matthew Yee-King on Coursera

About This Course

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. This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses. It focuses on the basic mathematics, statistics and programming skills that are necessary for typical data analysis tasks. You will consider these fundamental concepts on an example data clustering task, and you will use this example to learn basic programming skills that are necessary for mastering Data Science techniques. During the course, you will be asked to do a series of mathematical and programming exercises and a small data clustering project for a given dataset.

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How much does Foundations of Data Science: K-Means Clustering in Python cost?

Visit the Foundations of Data Science: K-Means Clustering in Python course page for current pricing and available discounts.

Who teaches Foundations of Data Science: K-Means Clustering in Python?

Foundations of Data Science: K-Means Clustering in Python is taught by Professor Matthew Yee-King, University of London.

What skill level is Foundations of Data Science: K-Means Clustering in Python for?

This course is designed for advanced learners.

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Students0
Duration6 hours
LevelAdvanced
Languageen
PlatformCoursera