It was said that the course will cover python from the basics. Yes basics were covered but they just flew through the basics without giving much in depth knowledge about it. Did not understand the basics much. python is an important language for data science and before we go on to the hard part we must clear the basics to build a strong base.

The course has so much content that is not well-organized, especially for newbies. I hope the lecturer can prepare better for the coding part and get more useful practice for us. Also, please just upload the jupyter file for us to download. That is a much more comfortable way to learn on our own devices.

This course wasn't bad exactly. The videos are very good, but the tutorials are a waste of time. One doesn't practice any of the skills learnt so it isn't reinforced.

It would be FAR more effective to have it as a semi-interactive course, where you learn something, then apply it immediately.

This course is a nice introduction to python, nut there are many parts of the course which have been edited instead of rerecorded to update the course, and it looks and feels wrong. Also many places that best practices are not used, and even a question on the final exam that is wrong

The assignment is so bad that I had to waste at least 1 hour of time just to figure out why the picture was not changing despite me saving it correctly. I restarted the machine after an hour of research and then it got resolved. THe notebook also behaves weird.

Course is not very well structured.

Using IBM cloud and Watson is a waste does not pertain to this course

You learn very little and its half baked.

Last week seems so rushed feels like a cut and paste. Missing a lot of details

Would not recommend this course

Complex course for a beginner. Before starting the course it is an OBLIGATION to study from other sources. Also, some questions and labs have bugs in the code. In my case I understood everything but I already had knowledge of Java and HTML. Rating 5/10.

Very mixed quality. Some sections are not expressed well. Also, extreme difficulty swings from elementary topics to advanced (or uncovered) material. If this was my first exposure to programming , I would run from the subject.

Content is very uneven. Courses range from way too shallow to way too complicated, mistakes in the labs, quizzes questions about subjects that are part of the next chapter... A bit surprising coming from IBM.

Feel like this is beyond an intro course. A little disappointed, but some material was very helpful in learning about Python, but still thought it was at least a mid-level course.

The first part of the course is useful and well explained, the last one does not explain enough the contents and, although you will easily pass it, you will not learn much.

The tutorial videos don't go as much into detail, I think you should watch/read some additional tutorials and materials to deepen your understanding

While I enjoyed the labs, the videos do not explain the concepts well. They assume you know certain aspects of python, such as syntax and structure.

Some of the topics were so fastly covered I didn't understand like Classes, APIs, Exception handling, Reading and writing files with open.

Contents overall were good, a lot of spelling mistakes and sometimes repeated content, which makes the course feel lazily made.

I felt that the target group was more to those student who had prior knowledge in the languages not the armature like me.

This course is a useful tool to start with the basics of python. It goes off the rails for the last week though.

Very Limited topics covered and difficult for new learners to understand concepts. Course lacked examples.

Really basic course.

In my opinion it should have more programming assignments and they should be harder.

Over complicated explanation so you do need to have Python knowledge or it will be a painful course.

The explanation is very fast, and some times uses some libraries or functions without explained.

The final exam had nothing to do with the course at all. Very poorly thought out.

Decent, but you barely get any experience yourself

very basic .could be little advanced

In general, the material is well presented in this course. If you already know Python programming, probably most notions and examples will seem trivial. The labs are really important to gain a deep understanding of the course material. But you won't get to actually write your own code with a very few exceptions (e.g. the urn problem). The multiple choice graded questions most of the time aren't multiple, aren't randomized (thing peculiar for instructors to omit, in an allegedly data science course), are trivial and don't get deep on the programming aspect. The instructors are almost absent with minimal presence in the forums & discussions. Last week's graded assignment is about compiling an already existing code in the jupyter notebook and you will waste a considerable amount of time trying to submit your work via IBM's cloud rather than actually working on the code itself or on understanding the underlying notions and concepts. In summary, this course certainly has a potential and can be improved on various levels (instructors availability, problem solving, etc.), but if you already know programming I believe this course will be of little to no use for you, except if you want to spend some time and money during lockdowns. If you do not, you will probably get a grasp of the basics of Python programming but, in any case, do not expect to improve your problem solving skills. Nevertheless, if you combine this course with a personal involvement in solving programming problems via Python it will could be beneficial, however I am not sure if it's worth the money.