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.

It is easy to understand the basics of reaind and manage data with Pandas in Python. I think it could be better if we can go deeper into the syntax and objects and methods used on pandas to better understanding of how work with them.

I really liked the course. My only complaint is that the last two sections represent a big leap between learning basic python skills and suddenly using complex APIs like speech recognition systems without understanding them properly.

The content went a bit to quickly for me. I am completely new to computer science, and so all that new vocabulary was difficult to comprehend especially when I wasn't sure how it is typically utilized for data scientists when coding.

I really enjoyed learning about Python with this course. The labs were pretty neat and helpful. The only thing that prevents me from rating it 5 stars are the videos which were confusing at times and made things overly complicated.

Issues running labs. Bokeh does not import, so its impossible to make the dashboard. Notebook would not recognize the bokeh module no matter what I did. Had to download Anaconda and a computer side service to run the lines of code.

The overall is good, but I wish this course needs to improve the interaction between learners and the Jupyter Notebook. It's kind of boring sometime when I need to only press Shift + Enter to run rather than typing code on my own.

Syllabus is well designed covers all basic concepts of python and if you already know a little python you can easily complete this course without a fuzz.

Thank you IBM and Coursera Community for this . I had a great time learning.

A solid introduction to Python that I personally found very useful. The only issue with the course is the abundance of small errors throughout the materials. Final assignment requires a bit of debugging and tweaking to get right.