Lots of great foundational learning, but in the later sections some pretty massive leaps in instructional logic. Perhaps meant to give the learner a taste of what is possible, but also a little overwhelming. Thanks!

Over all I enjoyed the course very much but there were gaps in the course materials that we struggle to complete the assignment. Perhaps this could be addressed during the practice sessions in the weekly course work.

The various plug in locations and environment we use in the course could be better explained. It appears to be an on line IDE with a python interpreter running. Hard to get views of the lab as you are doing them.

This course allowed me to learn the basics of the Python programming language and how to apply it to real life problems and data. Very much recommended if you wish to acquire these basic skills. Good job, Coursera

Good introduction to Python for data science. The quality of teaching materials is ok, the examples used are not very useful or inspiring. You will come away with a few Jupyter notebooks for future code building.

The materials are okay, but more exercises are needed to help students get more hands-on experience. Also, a lot of instructions are complicated and seem to be outdated (technical details on using IBM Watson lab)

The course is perfect for me, because I already know Python (so I can skim through material quickly just review the data science related stuff) but to people new to programming, this course may be going too fast.

The course gives a good Introduction to working with Python. Minus 1 Star because the final assignment relies on a given block of code, instead of being a project, which one can solve just with what was learned.

Some of the video modules didn't have up-to-date information, but the labs were very helpful. The IBM Cloud services were slightly challenging to configure. The Cognitive Class Labs tools were very easy to use.

Fort intéressant. Cependant, il y a plusieurs fonctions qui sont simplement données dans les laboratoires, sans qu'elles soient expliquées.

J'ai dû faire des recherches pour comprendre à quoi elles servaient.

Few things could have been better like more explanation for complete beginners. This course is still great for all the exercises and content. I am now taking it again to understand it better. Thanks Coursera

Overall, a good introduction to using Python to work with data. Towards the end of the course, a couple of the assignments didn't work, and I felt like I was just copying or running code I didn't understand.

Thank you for the great course! The only feedback I have - it was not clear how to use make_dashboard function neither from the labs nor from the videos. Perhaps, consider explaining it a bit better. Thanks!

I enjoyed this - probably one of the clearest Python beginner classes.

IBM Cloud on the other hand is quite challenging to navigate - not very intuitive and needed the extra careful "follow the instructions".

Nice introduction, but very little previous education in linear algebra and matrix manipulation assumed. Given the emphasis on cloud based data wrangling I had hoped to see larger and more complex data sets.

Presentations are informative. Materials and concepts are approachable for audiences of varying familiarity with coding.

Some code needs updating; particularly anything that accesses non-IBM-based websites.

i really liked the way they taught each topic ,it was very clear and good .i suggest them to add few more topics and teach those topics in-depth thus ,one can know the need and learn the methods more better

This course is well structured and well designed for all beginners out there.

This course will definitely help you to build strong basics on python language as well fulfilling the prerequisites for ML & AI

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the content is transported professionally. You can use the notebooks for later Python issues. So I want to give 5, but like many other guys mentioned, the "Watson"-advertisement is really exhausting.

The content of the course is really good, however, the descriptions of the practice exercises are difficult to understand sometimes. I had to see the solution in order to get what the question was about.

It really helps a lot understand the python work in data science but in last week lectures like pandas, CSV, numpy etc if there are few more examples of these topics it really help me to a lot understand

Overall, I learn a lot from the course, however there is a need to update the IBM cloud and Watson studio set-up page in the instructional material to be in-line with current IBM cloud and Watson Studio.

Great course for introductory learning of Python, however the course can be difficult and some of the videos do not provide as much detail on subjects that are briefly mentioned in the readings or labs.

Very basic, somewhat interactive, just an intro to AI without getting into the science of it. Overall, it does a decent job of introducing fundamental python concept in the context of Jupyter Notebooks

some contents are a little difficult, although they are not required to know the rationale, I found myself unable to apply them. It'll be better if it can provide some way to consolidate the knowledge.