Chevron Left
Zurück zu Foundations of Data Science: K-Means Clustering in Python

Kursteilnehmer-Bewertung und -Feedback für Foundations of Data Science: K-Means Clustering in Python von University of London

275 Bewertungen
89 Bewertungen

Über den Kurs

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....


3. Juni 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.

9. Sep. 2019

184/5000\n\nConferences of very good quality, and the platform for practices is really useful to put the theory into practice. I recommend this course if you want to start in data science.

Filtern nach:

76 - 89 von 89 Bewertungen für Foundations of Data Science: K-Means Clustering in Python

von Chintoo K

31. Mai 2020

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

von Jason A

18. Feb. 2020

Good intro into K-means clustering. Some great introductory math tutorials and basic python programming.

von Gangolli, V

20. Sep. 2020

It is a good one for the beginner who is ready to give dedicated time.

von Yeung K Y

14. Okt. 2020

Good content and I would recommend my friends for it.

von Bhawna D

24. Sep. 2019

More time should be given in the coding part.

von Jaison M

30. Apr. 2020

Very good if new to data science


12. Juli 2020

Nice course for New learner


13. Mai 2020


von Jonathan B

15. Dez. 2020

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

von Ryan N

27. Sep. 2020

Mathematics taught is very abstract. Not many practice examples and linkage to practical side. Not much guidance on guided projects.

von Anton S

17. Aug. 2019

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

von Naveed K

27. Sep. 2020

It's a good course but data cleaning should also be included...

von Gagan P P

21. Mai 2020

Good course.. But self study also needed...

von Margaret M L

20. Jan. 2021

You should be able to transcribe the code which is presented into Jupyter Notebooks as is. This is now the second time I have done so and I am guessing some of the needed code was left out as the code does not work. How can students be expected to complete assignments when the Instructor's code is not reproducible?