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Retour à Foundations of Data Science: K-Means Clustering in Python

Avis et commentaires pour d'étudiants pour Foundations of Data Science: K-Means Clustering in Python par Université de Londres

371 évaluations
119 avis

À propos du cours

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....

Meilleurs avis

31 août 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.

3 juin 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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76 - 100 sur 119 Avis pour Foundations of Data Science: K-Means Clustering in Python

par Anshul G

2 juin 2020

Very good course for beginners!!!

par Sachin M

8 avr. 2021

very nicely explained course.

par fadi i

29 août 2021

Great Course i'lll do more

par Vinh N T

23 juil. 2020

An extremely useful course

par michael p

8 sept. 2021

Well taught great course

par Somanathi S R t

23 mai 2020

learned a lot ,thanks!!


11 mai 2020

Well structured course!

par Farhad A

27 avr. 2020

everything was perfect

par Fan K N

12 févr. 2020

Excellent course !!!

par Paul L

13 juil. 2020

Very good quality.

par pritee k

23 juin 2021

very informative

par Harsh P

29 mars 2020

Amazing Course!

par Naeema T

22 juil. 2020

amazing course

par Anna W

8 mai 2021

useful course

par Gerald D

27 nov. 2020

Great course!

par Josabet A A G

2 juil. 2021

Good Course

par Amin

14 janv. 2020

Thank you

par Carles E M C

11 juin 2021

The course is nice and well explained. Some of the mathematical concepts are explained into more detail than necessary for the scope of the course, and at the same time with not enough detail to understand them properly. Also, I expected the course to show some professional software, but it only touches Python. Still, I enjoyed the course and I think it does it's job as an itroduction to the subject.

par Daniel W S

23 déc. 2020

I was impressed by the amount of informative, relevant and in-depth material, taught and built up form a very basic level. The video lectures and practical exercises have really helped to cement the material covered in this course. In areas, there are quite a few mistakes (content, wording, etc), which can be confusing and come across as a bit sloppy.

par vijaya r

25 mai 2020

This course starts from fundamental level. The instructors clearly explains statistical methods such as mean, variance, standard deviation, variance etc with python source code on a simple data set. Then they have explained plotting with labels and finally how to apply k-means clustering on bank note authentication dataset.


10 mai 2020

It was not fully explained how to use Python, therefore I should have looked for the more information through internet by myself.

However, it was quite interesting to understand why data science could be important and how to use with K-means clustering.

par Colin A

16 août 2020

Overall what you get for the price is about right. Sometimes there are glaring gaps in the presentation of concepts, and how sections fit together. In the end it served its purpose to me - to see if I want to continue exploring data science a a field.

par Justin M J

11 mai 2020

I would highly recommend this course for any beginners. it simply suits both the first timers and people who wish to further existing knowledge and understanding of Python and data science to another level. enjoyable homebased learning.

par Daniel e

1 avr. 2021

First 4 weeks very good (you learn enough and there are interesting topics), last week very "backloaded" half the course I would say. Also you dont get to do your ow project but is given a topic which i did not like. very good overall.