Some of the information provided to help correct peers' final assignments are outdated. Clunky visual support in my opinion

very interesting course but lack of details. May be better to add more explanations on some parts of the course

The course was great, however I do not think that the material was enough to prepare me for the final project.

I thought one of the questions required a skill that was not covered in the labs. Rest was pretty good.

Peer grade is once again not correct and must attempt again and grade other peers to get a new grade.

need more informative.. especially like some video clips.. which will be easy to learn

good overall but the dependency on IBM cloud is time-consuming and of little value-add.

Some technical problems on IBM plateforms and some part of the course are not updated.

Some features in the final project werent working properly (make_graph). Please fix it

It's more suitable for learners who have background in Python but not new learners.

It is a good course but it is need to add more information about the about course

Challenging for someone at the beginner level. Had to google a lot to succeed.

so far so good; unfortunately some of the content is sometimes misleading;

A big problem with the mandatory work environment on IBM Cloud platform.

For such a short course there was alot of information to get through.

You should add more projects and easy medium and complex task to do

Very good introduction to the methodology, difficulties with Watson

The Final Assignment has several errors when you execute the code.

I learnt about web scrapping but this course could be much better.

Labs and Assignments are extremely confusing but very informative

You copy and paste everything because explanations are lacking

it was a very tough course. i have to do some more learning

final project has bugs and errors when running the code

A good beginner hands-on experience for Data Science.

Students had a lot of problems with IBM Watson Studio