The hands on projects are too easy. They need to be a little more creative. They also don't go deep in the details of a new function/library ...

Advice to someone newly learning phython "Start from somewhere else!" even tho course is good but it's also too small in terms of explaination.

Most of the projects on IBM cloud had errors working with them. Overall, course was a good introduction to Python for Data Science application.

Trés bon cours en terme de comprehension, parcontrel es exercices Quiz sont parfois banal, je propose qu'on y ajoute un peu plus de complexité.

Decent intro to python programming. The videos and labs need additional proofing. The labs need some off script activities in the later labs.

It's an okay course, but it can be better

And I wouldn't advice it for total beginners cause they skip steps and sometimes write wrong syntaxes

There's no fun in doing assignment in lab as almost all of the coding is done by them only , although we can learn lots of syntax and tricks .

Course was ok. Some random concept thrown in half way through. Assignment wasn't explained particularly well but overall a good introduction

Apparently the tutorial is a bit out-dated. Not able to generate plot using codes provided in Jupyter. Can't find my access_id stuff either.

The course was good, but the python quizzes seem to arbitrarily consider indentation when asking if this code would return an error or not.

Some of the stuff felt out of place and I think the labs should be a bit better made... you don't really get the full experience of coding.

Quiz questions sometimes pop-up before the subject material is presented. Some sections, especially the last week of sections, feel rushed.

I don't think the study material was as informative - the assignment was straight out different to what was taught in the videos and labs.

The final quiz is not using proper code formatting, which makes it very annoying to read especially the question regarding python classes

The course should have videos which explain the solution for the labs, as most of them are really difficult and not for a beginner level

Too much was filled in on the notebooks. let us practice. more time spent on setting up and configuring Watson than on learning Python

in the course description in said for beginner level, but not all the things that were in the course were explained to me as a beginner

Started reasonably well with Python fundamentals, but then sped through more complex material in a blur of half explanations and typos.

Starts at a VERY basic level, then jumps ahead to advanced topics too quickly. Some instructions (e.g. Speech to Text API) do not work.

Good overall if you already have a grasp of python. Lots of mistakes with the coherency of the text vs the things displayed on screen.

It went from basic to advance real quick. It needs to be tailored further for students who do not have any background in programming.

Course was easy but instructions for the exercises and the projects were very unclear, confusing, lacking and difficult to interpret.

course is good, but final task is awful! It took me 4-5 times to finally upload it correctly, so other students may have seen my work

MAde the topic easy to understand.

Overall liked the course, but on the beginners point of view it could have been more descriptive.