Learner Reviews & Feedback for Foundations of Data Science: K-Means Clustering in Python by University of London
About the Course
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 ...
Top reviews
GK
Sep 1, 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 4, 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.
201 - 215 of 215 Reviews for Foundations of Data Science: K-Means Clustering in Python
By Emmanuel K
•Jul 29, 2022
It is rich in information
By Yuri S R N d S
•Jun 30, 2023
It is a great course.
By KASIVAJHULA S K
•May 13, 2020
GREAT COURSE!
By TAKENZO J
•Feb 14, 2025
Good
By Nam N (
•Oct 4, 2024
Good projects are an excellent starting point for beginners. However, they should focus more on explaining the mathematics involved, such as variance, covariance, and distance functions. It's important to explain the roles of these functions in K-Means clustering and how to use them effectively.
By LO W E N
•Apr 6, 2023
Level of difficulty of assessments is quite unbalanced. End of week summative assessments are merely a compilation of the practice quizzes within the week, does not really test my understanding. For the programming assignments, the first one was quite trivial while the rest were challenging.
By Saule B
•Aug 14, 2022
The course was useful for me until the fifth week. I think the videos of the last week are very useless and uninformative, so disappointed about the waste of time. I would advise the last lecturer to work on his material, and not just read the assignment
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