Thank you

MUY UTIL

Best

It's perfect course, so precise videos and transcription! I express my gratitude to all the tutors and other members of a team who took part in course creation. You did really great job!

Note the course is not for the very beginner - you should understand smth in math, statistic and coding

What I didn't like at all in the course - a huge gap between detailed lessons and unexpectedly blurry explanations about how to write the final report. It seemed to me that I'd lost a week of lessons about doing the project somewhere

At least some examples or practise should be provided. I write marketing reports due to my current occupation but I got no idea whether my skills are appropriate in this case

Basic concepts were explained in a systematic manner. Understanding was very easy with all those hands on exercises. End of course project was a struggle, needed some more ideas regarding the prediction of the model. Some more material regarding that would be of help. On the whole enjoyed the course, discussions were interesting and peer reviews helped understand other ways of answering the questions. Thank to the entire team of University of London and Coursera for this course.

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.

Peer assessment is not my cup of tea. On the other hand, automatic code assessment has its pitfalls as well. I am not sure what the appropriate set-up should be for MOOCs.

Also, a different data set could have been more appropriate for the last week of classes in this course, in my humble opinion.

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.

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

Excellent basic course on K-Means clustering for beginners

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