I love this course, they just need to improve the lab experience, sometimes there was no explanation of the code and also there were some issues when executing the code that was on the notebooks. Besides these minor stuff the course was excellent-

Although this course is brilliant, I have to say it is too easy for those who have python basic. As a result, the things I have learned are limited. And the homework should move deeper or be more challenging. Anyway, I like this course, nice work!

The Course Is perfect for those who have little insight about programming and library like numpy and pandas but if you are complete beginner it might get difficult because its on very fast track nad for beginner its a little hard to stay on track.

The course content was amazing and very relevant. But it would have been better if we had been provided with guide on how to do entire programming along with necessary installations on our own computer rather than doing so on some other platform.

Overall good material but need many more practical exercises. Some of the labs walk you through the steps that are covered in the video, but they do not have a practical section that has the student write their own code to reinforce the material.

Very helpful beginner course. Some videos however could be better, provide more explanation and background reasoning and future application. Jupiter notebook was much more helpful, without even a need for videos. Looking forward for next stages.

It gives me a brief structure of Python and since it is a self-learning course, we still need to get more tutorial video from like Youtube which can help to add more details so that we have a more clear view about Python learning as a beginner.

I would give it 5 stars if not the speech-to-text exercise, that from the forum I could see many people struggle with. The tutorial for that exercise is outdated and it takes couple of days for the instructor to respond with unhelpful feedback.

Very nice introduction to Python. I would have liked more practical test examples (the time estimated to complete tests is greatly exagerated). However, this makes me lust for more Python programming, which ultimately is the goal of the course!

i really liked it the only thing that kept it from 5 star is that the course gave a limited knowledge about few basic functions using python with data science however i think that's what it was supposed to give so leaving my review with 4 star.

Great course for someone who is just starting on programming. However, on weeks 4 and 5, the practice material seem to just jump in terms of difficulty. Would love to have a bit more practice in weeks 4 and 5, especially for API and Rest API.

content is good, but the video is somewhat AI based, as if document is being provided to the system and voice content is showing in the video, it feels more interacting if a person with its facial expression would impress on the student mind

J'avoue que c'est parcourt particulière. J'ai rencontré des défis sur la ligne mais grâce supports système des cours j'ai trouvé des solution. Notons que j'ai pas passeport pour continuer ma confirmation. Comment je vais procéder . Merci

Overall course structure isvery good. HOwever, the voice speaker was indeed very FAST.! Please make attention, your overall public is not English natives only. Even applying the subtitling in English, it was very fast to follow the slides.

May have to refine the last question of the final assignment.

May need to consider to explain...

The use of bucket, difference between self-generated one and manual bucket, creditential... And more instructions to set up url for dashboard.

This course has covered all the basics of Python Programming (i.e., data structures, class and methods). In addion it included Python Libries such as Numpy and Pandas along with web scriping techniques. This is a good start for beginners.

Challenging especially when you have limited Python experience. One improvement I will suggest for the whole course is to have unlimited access to IBM cloud services ( lite of course). I managed to burn trough my 50 hours way too quickly.

Very good course to learn Python, its concept from basic to advance though one is not having a very good programming foundation. Covered sections such as dataframe, vector, API, pandas etc which are essential for Data Science. Enjoyed it.

This was a deep dive into Python Data SCI, AI& Dev for a beginner, like me. I felt it was a good first step; course could improve in the Hands-On Labs. They should have clearer instructions. Overall, Im satisfied with the topics learned.

Course is constructive and good for beginners. You can include more number of assignments. Also, for every wrong answer, you can provide the correct answer and explanation. I suggest including tougher questions along with easy ones.

It was a nice introduction and extremely straightforward especially with backgrounds in MATLAB and Arduino IDE. I only struggled with the IBM cloud upload that was optional in the final project which was not clear and would get errors.

Really great foundational python knowledge from this course. It took a lot of stepping out of my comfort zone given the content is outside of my daily career but i feel like i know so much more now than i did when i started the course.

I liked the course. I feel the course was focused more on the ibm cloud storage creation issues and less on python programming. It is more of basic programming than much of ai. I wished it focused on python programming and more of ai.

The course is really good and works perfectly as a deep introduction for data analysis. However I've found some errors on the quizzes (graded and training) that need to be reviewed. I've reported the issues but got no replies so far.

A very good first look at Python, Pandas and other basic aspects of Python for Data Science. The course material, as presented in text transcription, could use a good proofreading, but otherwise it is a very solid and useful course.