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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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176 - 200 of 204 Reviews for Foundations of Data Science: K-Means Clustering in Python

By Saleh A

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Apr 28, 2022

Clear instructions and explanations. Could be a little more details on the algorithm. Makes it a very good course for "getting things done". If you are interested in what goes on under the hood though this might not be for you.

By NGUYỄN D H

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Apr 26, 2023

Great!!! I really enjoyed the course and found it to be very helpful in giving me a basic understanding of the foundations of data science. Thanks to the course, I feel much more prepared to move forward with this subject.

By Prasoon M

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Dec 20, 2022

Overall, a great experience but labs could have been better, and few instructors were not very detailed in their approach.

By Chintoo K

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May 31, 2020

It was a great journey to get through it. Thanks a lot to all the instructors for their valuable job and effort :)

By Ahmed y

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Jan 26, 2024

très instructif, merci a l'ensemble de l'équipe pédagogique et a la coopération Coursera-université de Londre

By vahid e

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Aug 30, 2022

one of the best courses. i learn more thing about data science as begginner

By Alessandro Z

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May 23, 2024

Ottimo corso le prime settimane, per l'ultima risulta un po' superficiale

By Rednam M

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Mar 23, 2022

one can learn from basics . and thet can gain knowledge

By Yeung K Y

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Oct 14, 2020

Good content and I would recommend my friends for it.

By Leo G

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Jun 28, 2021

An introductory course all together.

By Jaison M

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Apr 30, 2020

Very good if new to data science

By DIVYESH M (

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Jul 12, 2020

Nice course for New learner

By Mr.Tamasam H B

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Mar 12, 2024

Great Journey of learning

By Emmanuel K

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Jul 29, 2022

It is rich in information

By Yuri S R N d S

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Jun 30, 2023

It is a great course.

By KASIVAJHULA S K

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May 13, 2020

GREAT COURSE!

By Nam N (

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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

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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

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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

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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

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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

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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

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Aug 17, 2019

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