Needs an answer key or a better hint guide, this took way longer than it should have. There aren't enough coding drills in this course to be coding mostly from memory.

I think it is too simple and short. I don't like the part about watson studio and I think some questions for the final project could be formulated better.

as with all of these courses on coursera there is a lot of frustration. Also it takes a really long time to get feedback and thats if you even get it.

This course was more copy and pasting code and didn't really allow us apply any learned skills. Calling the course a "project" is a stretch.

There were typos and errors in many of the lessons. On the 'build a dashboard' it is set to import an older version that is incompatible.

I wouldn't call this course a "Python project"... it's more of a lab with exercises about the previous course ("Python for Data Science")

not too much easy but not hard... You need to find out the exact level of the content if it is an advanced concept or a simple one.

This course has a some bugs in it. I was clean up code a lot during this course. Overall it is a good course. I like the the labs.

Not super effective. Mostly had to google to figure out what they were trying to get us to do, which seems silly in a paid course.

This course is not as good as the ones : the videos are not very explanatory... It took me a long time to figure out some stuff

Some of the information provided to help correct peers' final assignments are outdated.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.