All the labs were broken, I spent time reading the labs when I could but most gave me a error. I looked the error online and it was happening for a few people. I waited at least for the week to see if the error would be gone.

this course was the worst so far in the IBM data science certificate. There were so many inconsistencies b/w the videos and labs and quizzes. Additionally, the videos were edited in a way that left out important information.

Explanations were ok, but almost no real exercises, quizzes are far too easy and the final exercise was also absurdly simple. Courses need to have more exercises to give students the opportunity to really learn the material.

The material of this course was helpful in understanding Python, however the final peer graded assignment was very confusing. The instructions were not clear and also it tested skills that were not taught in this course.

very useful one but the content didn't update yet

I was lost when I started Week 3 as the steps for us to follow isn't sync with the actual platform in IBM studio already. Appreciate the organization will update it

There are a lot of language Problems in this course. It is unclear to me what the target audience should be. It is way to fast for programming beginners and way to boring/imprecise for experienced programmers

The videos for this course will not help you at all if you are new to the subject. Also the labs have mistakes all over them, it's impossible to find why things are not working if you are new to the subject.

This course doesn't match the quality of IBM's other courses in the AI certification. There are many typos, the videos aren't engaging, and the labs also have errors that make working through them confusing.

I wish I had had more opportunities to practice coding in the labs. Many of the labs exercises were already solved, so I couldn't memorize the codes as much as I wanted to. The lectures were good though.

The coding exercises do not work online and you have to use juptyer notebook to follow the labs (OR IBM cloud services which could charge you...) The videos were excellent and the quizzes were great.

The course seems oversimplified. A beginner would not learn from the first lessons, or the practice exercices. The course is in a good direction though. The videos are helpful but could be improved

Many errors in the data and video representations; in-video quiz assumes knowledge that was not given in video; summary quizzes for each week often repeat in-video questions and answers verbatim.

I think the part before the web scraping and API is good and clear, however, the difficulty curve suddenly go skyrocket when it comes to the part of web scraping and API, isn't it a bit too fast?

The course is ok but the lack of valid practical application is an issue. The course does not prepare you sufficiently for the final exam- some of the topics are not even covered in the course.

the course should focus on the skills of data querying and sampling, it does not explain matplotlib and how to improve data sampling, although it is a course for beginners, it has many errors

This course was very hard to understand as someone with no prior knowledge of Python. It went very fast and the speaker spoke very quickly even though I slowed it down in the settings.

Half of the final assignament points were not explained along the course. NUMPY is very tricky for the amount of time used to describe it. Anyways the methology of the course is intact

Very vague, the course goes very fast without any respect to the foundation. Not for beginners. Not passionate teachers, a professional voice person reads making it incredibly boring

Although the course offers some decent descriptions and educational materials, its lab exercises fall short of adequately supporting the learning needs of a first-time Python coder.

The course is somewhat useful but very shallow and stretched too thin to cover several "weeks" required to make up a course.

The course can be done in an evening without any problem.

at 30% completed I cannot run a lab. Having a kernel issue where I cannot input data in a lab. really furstrating. If I am paying for a course I would like it to be error free.

I thought it would be more interactive. The tools we use for assignments should be embedded into the course and not be external links. The course goes from beginner to advanced.

The content of the course is Python for Data Science, but your final project is graded very little based on Python and is instead based on your knowledge of IBM Cloud Storage.

Too much infromation in very little time not ehough to complete the exercises and understand examples. I do not recommend it unless you are familiar with Python programming.

Video's stop abruptly without completing sentences - especially when displaying quizzes. Labs and assignments are not clear and/or complete making them difficult to follow.