Learner Reviews & Feedback for Python for Data Science, AI & Development by IBM

It jumps to some slightly more advanced code without enough explanation or breakdown to explain how to use it for other things. A ton of stuff in the labs does not work when trying it out for yourself. Seems a little packed with information that should be expanded upon over the several more weeks.

This is too fast and not detailed enough for someone who is new with Python. Also, always trying to plug IBM Watson studio, which is slow and sometimes requires multiple attempts to de-bug. Why wont you let us use local jupyter notebook? There are definitely better python courses on this site

Good course but needs a major review. Some things are wrong, others not very precise and vague. Video lessons are often a bit sloppy (misaligned graphics, questions come seconds before the answer was given and the like). Overall feels a bit unprofessional and could use some polish...

felt very unprepared for final assignment. Week 5 assignment would only be appropriate if we had a video walking us through, and explaining the specific requests, and the why and hows of each point of the task. then it would potentially be a great way to finish off this course.

The course material is ok (a bit to basic) but personally I don't like robotic teaching. I prefer to see the profesor during the online course. The last assingment isn't very well explained and is a Little bit confusing the section of grading peers with the section of complet

The Peer Assignment did long go along with the lessons. It was almost completely unrelated. You need to include a lesson work with XML if that is going to be the Peer Assignment for this course.

The videos need to be updated. The audio and video don't match for some lessons.

The labs did not always function properly, I found the external sites to be spotty (both IBM and the python lab site) as far as their reliability. I suggest that for the python labs that there be an alternative like downloading Anaconda to run Jupyter notebooks locally.

more improvement in teaching can be done as only 3 quiz was there in most of the section if quiz from each topic should be present in my way min 10 question should be asked whether passing criteria can be reduced because when we do question boost our confident

The video lectures barely scratch the surface of Python's capability and the notebooks are littered up with advertisements.

Also, the quizes do not show up the right answer in case you made a mistake.

The final assignment was interesting though.

This moved way too fast for a beginner—while the quizzes and final project were reasonably simple, the labs were WAY too complicated, and this seems like a common sentiment. Would not recommend unless you're experience in Python already.

This course does not prepare you to use python outside of IBM's platform. It makes no effort to teach you how to use any of it's libraries of functions outside it's Watson nonsense place. I know less now than I did when I started.

Was quite the challenge. Without the help of peers, it would be impossible. Course content compared to the assignment were very different levels of difficulty. Assignment was much more difficult. Instructions were somewhat vague

The overall course is decent , it could have indulged in a deeper python understanding but the exercise were fine.

The final assignment in week 5 has no explanation or resource and is just left for the peers to do on their own.

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

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 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

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

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.

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.

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.