A lot of passive exposure to basic structures of Python , but desperately needs more practice examples and more explicit exercises using code. The instructions for the final activity make a leap several steps past what is presented in the videos and asks that you figure out how to do multiple steps of code without any actual practice coding prior to that. Says its for beginners, but does not teach for beginners. Coursera needs something between Python for Everybody, which is super slow, and something like this, that assumes you intuitively get it.

Although I think the material is really good, I think the content of the quizzes in the videos and the quizzes in Coursera does not prepare you enough for the Lab works in the course. Those quizzes seem too simplistic and then the jump in difficulty in the labs can be frustrating for many. I suggest that the quizzes provide a little more comprehensive detail in a way that tests your understanding but also guides you to doing better jobs at the labs

On overall IBM data science professional certificate track: Pros: Content is just good enough, instructors are good. Cons: IBM watson and the platform given to practise on is awful and has terrible performance and reliability issues, most often doesnt work and had an impact on my test deliverables. I personally overcame those issues to some extent with kaggle's and google colab jupyter notebook environments.

Weeks one to four are good. Week 5 is full of mistakes. You lose a lot of time for correcting stuff instead of actually learning them. The assignment takes double time just because of the corrections in the given instructions. The data that you have to load in order to complete the assignment are in the wrong address! More examples and coding should be included in week 5.

According to me the way of explaining can be much simpler. Examples taken in this course are pretty much difficult to understand. And in the Week 5, everything is going to bounce overhead for non programmers.

This is a good program for those who know programming. In week 5 she doesn't explain from where such complex syntax are comming while explain API's and webscraping.

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.

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.