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.

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.

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.

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

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

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

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

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

one can learn from basics . and thet can gain knowledge

Good content and I would recommend my friends for it.

An introductory course all together.

Very good if new to data science

Nice course for New learner

Great Journey of learning

It is rich in information

It is a great course.

GREAT COURSE!

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.

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.

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

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.

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

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