Chevron Left
Back to Foundations of Data Science: K-Means Clustering in Python

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

4.6
stars
695 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.

Filter by:

201 - 208 of 208 Reviews for Foundations of Data Science: K-Means Clustering in Python

By Bárbara A

•

Feb 3, 2024

It teaches how to do it, but the editing could be better and the evaluation of the model could be deeper. This course suits better absolute beginners.

By Jonathan B

•

Dec 15, 2020

All the statistics and k-Means algorithms are well explained, but there is much missing guidance on how to conduct the final project.

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 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