Explanations were very vague. More detailed explanantions as to formations of cods n compenents of the code are needed. Many of the practice labs didnt work

The lab has to tie more into the coding part of Python rather than the theory and basics of it. Took awhile for me to grasp it with the help of other books.

Entirely too difficult for learning python. Jumps from basic functions into matrices and vectors without explaining what they are or why we would use them.

The pre-work and video modules do not prepare you for the final assessment well enough. Lots of external videos and conversations within the forum required

This IBM Watson an the whole ecosystem is not documented well and too complex for this beginners course. This course has taught me to avoid IBM software.

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https://labs.cognitiveclass.ai/ esta caída algunas veces, los ejercicios no están bien explicados no se parecen a lo real q se pueda aplicar

I found the course not suitable for some one with no knowledge about data science . Some of the course material was not for someone with no experience

Assessment was more to do with publishing on IBM Cloud rather than Python. Time consuming trying to clarify instructions rather than learning Python.

Theory, practice, evaluation: video, lab, quiz - nothing unnecessary, straight to the point. Great! But the final project was very difficult for me

The course was going OK, then in week (4) they started going very fast with little explaining to do & the final test was not with the course level

Some of the notebooks are very low quality, complete with spelling mistakes, completely trivial questions (a=1, what is the answer a + 1?), etc.

I am sorry but the explanations and guided sessions for this one were not good. It may be at my end, but hey! that's what I'm concerned about.

Only the first 3 Weeks are Basic, after ist a sprint of new Python Librarys and not basic funtions -> more googling then listingen to course

As an educator with vast pedagogical experience, this course is really mediocre, doesn't provide comprehensive understanding of the topic

Depth is not enough as per industry and not for beginners, you should have atlest some knowledge of python to ubnderstand this course

A majority of the labs are overwhelming and do not coincide with class instruction. Make it through and the final assessment is easy.

There's a lot of python knowledge they expect you to know without teaching it. Also a few of the labs were just broken or confusing.

The course is smooth but the final assignment did not explain things properly and because of that, it is very difficult to complete!

I was pretty good until I got to week 4 and had to create an IBM Watson Studio Account and I was never able to complete that step.

The last peer reviewed assignment was way too difficult. There was a knowledge needed that wasn't taught in the previous courses.

buggy and too in-depth and complicated for this level. spent a lot of time debugging errors which for a newb is frustrating.

Not a substantial course in Data Science or AI. Essentially, it's mostly Python basics plus a little bit of data science.

Extremely IBM heavy, there is not even any IBM alternative option for the people not interested in IBM specific learning.

its an introduction to python but i didnt like the way it is handelded. There are better ways to perform this introduction

Needed more hands on questions and not the same ones as in the video.

Expected more from an IBM professional certificate.