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

4.6
stars
676 ratings

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

GK

Aug 31, 2021

This course has great potential for future Data Scientists and it gives a breif explination of what we are dealing in the companies by giving us real life problems and making us solve those problems.

AH

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.

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201 - 204 of 204 Reviews for Foundations of Data Science: K-Means Clustering in Python

By Srijan

•

Apr 19, 2023

Good course overall.

By Farid A

•

Jul 6, 2022

very awful course with terrible course agenda.

useless peer-revirewd assignments and complete waste of time

purchase certificate? u gotta be kidding me!

By Prashant K

•

Dec 22, 2022

horrible course, bad instructors, watch all videos for full length it's

By Dylan B

•

Jan 30, 2023

Instructions were awful, and the peer review is useless