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Learner Reviews & Feedback for Foundations of Data Science: K-Means Clustering in Python by University of London

263 ratings
85 reviews

About the 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....

Top reviews

Jun 3, 2020

I love this course as it gives me the foundations of learning the Python coding program and relevant statistical methods that used for data analysis. It's really interesting course to attend to.

Sep 9, 2019

184/5000\n\nConferences of very good quality, and the platform for practices is really useful to put the theory into practice. I recommend this course if you want to start in data science.

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76 - 85 of 85 Reviews for Foundations of Data Science: K-Means Clustering in Python

By Gangolli, V

Sep 20, 2020

It is a good one for the beginner who is ready to give dedicated time.

By Yeung K Y

Oct 14, 2020

Good content and I would recommend my friends for it.

By Bhawna D

Sep 24, 2019

More time should be given in the coding part.

By Jaison M

Apr 30, 2020

Very good if new to data science


Jul 12, 2020

Nice course for New learner


May 13, 2020


By Ryan N

Sep 27, 2020

Mathematics taught is very abstract. Not many practice examples and linkage to practical side. Not much guidance on guided projects.

By Anton S

Aug 17, 2019

Good introduction to k-means clustering using Python. Easy for follow.

By Naveed K

Sep 27, 2020

It's a good course but data cleaning should also be included...

By Gagan P P

May 21, 2020

Good course.. But self study also needed...