The last part of the course seemed a bit hurried. Not enough practice exercises on "pandas" and "numpy" libraries. A bit disappointed with the course.

Дается очень мало информации, только общее представление о необходимом программном обеспечении. Нет серьезных заданий для самостоятельного выполнения.

I wish there had been alittle more assistance when I needed it, some things are implied, and therefore can take longer if not explained appropriately

Labs need to be improved. There should be excercises for students to complete by themselves and more explanation in the videos on difficult topics.

Thorough for the time period. However, some knowledge was inferred when doing the labs instead of building on top of knowledge taught in the lessons

Good course but very superficial, in order to truly create skills to find a job more projects may be needed per course to truly master the concepts.

A fast paced course. Good in some ways. But I feel the course is missing a lot details. And there are waaaaaaaaaay to much typos for a coding course

class is not that much challenging

but it's okay maybe this is for beginner

but IBM lab tutorial needs some effort to let user use it in daily work

I hoped to have learnt a bunch more stuff on programming in python.

It was a nice start though. Full with some nice and practical tips and methods.

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