Final assignments involve matters that have not been seen during the course. Course should have more explanations, both video and text, and then more practice in order to settle what you have seen. It's not at all a beginners course; perhaps it could be for the matter but not for the explanations.

repetitive lectures. multiple typos. non working lab. no explanation of the lab code shared. spent multiple hours to resolve the code errors to resolve code errors shared by Coursera for assignment (learn from other sources than Coursera to resolve code errors)

I think it isn't a good beginner course for Python. There are some things that are not explained and other that are not well explained. However, if you are following the data science learning path, I recommend you do it so you can pass to the next one.

The exercises that are supposed to influence learning are spoon-fed. In order to truly learn the material, one needs to tinker with the material and explore possibilities. Unfortunately, this course does not facilitate that.

Probably the weakest course I have taken on the platform. Very frustrating.

Increasing from one to two stars because of helpful comments in the discussion boards that finally enabled me to complete the assignment.

You Have to give more Data Visualization tools option such as goolge, PowerBI,Tableau,Python do not force user to do unecessary trouble by using force to do data analysis on IBM Watson

Honestly, you end up just doing the same thing 3x with just different data. If you can copy and paste the example from the original example shown, you can finish this course

A lot of issues with this course. New information wasn't explained in detail and I was left with a lot of questions. Last assignment had a lot of issues.

Sinceramente, está bien el curso. Pero llega la tarea final no se entendió, fue mucho más difícil de lo que habíamos hecho anteriormente

The course is not up to date, many things will not work or can't be done. nice practice if you don't spend extra time on bugs

Really poorly explained and laid out. Expected more from IBM and for a programme that you need to pay for separately.

I find it difficult to learn when I can not get feedback on exercises I fail in or can not complete despite trying.

There wasn't enough explanation. Even after doing the optional work it felt like i was thrown in the dep end.

Many of the plugins didn't work for me. But I was able to get through by downloading the Jupyter notebooks.

Kept having issues with Kernal in IBM and geting locked out off some of the servers I needed ot access.

This should be well after anyone starts learning python in the professional certificate

Spoonfeeding results. It's not a project, you just have to answer 6 questions...

Most of the Hands on Labs didnt work, lot of coding wasnt taught well

Should be a lab or a section in the previuos course.

The Skills Network Lab has out of date software

Material needs to be more structred and updated

Final assignment is very buggy! See the forum.

THIS COURSE IS NOT SUITABLE FOR ME.

Not a fan of Using Watson Studio.