It's a great course, but it's too complicated and is lacking a lot of information despite being asked in the final quiz. I had to spend many hours on the quiz and guessing different ways to solve the problems. It's unfair to ask things in the quiz which are not referred to in the course as many of us are beginners.

Python project is a good for getting a good understanding of web scrapping, getting hands'on on all concepts of data management using Python. It needs critical thinking to provide best and efficient solution to a problem as Python offers multiple way to solve same problem with different level of complexity

The idea of this course is effective, but it seems that the IBM staff needs to iron out a lot of kinks with this - code issues, having to reference the forum discussions to find out common bugs other students are having. With some extra attention, this could be a 5 star course.

More difficult than other courses in the cursus, but more realistic too, need to search on google, stackoverflow and so on. Final assignment lets us try many ideas. Remember course 1, we need to be curious. Four stars because I had some bugs while taking first quiz.

I found the course to be a bit overwhelming at the beginning especially during the html explanation part because there are quite detailed explanations that are a bit hard to grasp for beiginners but the task was well manageable at the end.

I really enjoyed the course. I think it could yield more if there was a handout with the slides of the videos. And not all videos have the translation. But as I'm really wanting to change my profession, it's just another step in learning

There are a lot of problems with instructions, kernel, errors, orders of tasks. it would be better to update course, to separate GME and TSLA tasks to avoid a lot of errors.

it took for me 1 month to do this tasks istead of 1 week...

This course is a good hand-on python project

But only issue I face dealing with IBM watson Studio

the lab instructions are in older version of IBM Watson so its difficult to follow the lab instruction steps

kindly update it

Thanks

I love the course, it makes learning a lot easier; but so that the student can be deeply grounded, I think there should be more than one project and some projects covering all that has been taught from course 1 to course 5.

Good practice but I would review the how-to sections of the course to show changes of current platforms (GitHub and Watson) to share and edit information. Had many issues with updating and sharing information this way.

The exercise is very important and necessary, but the notebook has so many tips making it quite easy, and I should say that the course is unnecessary, it could perfectly well have been an assignment in another course.

Course for most part was a great learning experience and i learned a lot through it, but some common bugs regarding plotly and other libraries in Skills Network Notebooks were not great for the learning experience.

the labs are interesting. Although, the tutor assumed that some of us have very good python background.

i had to consult a lot of secondary resources to help me out in the lab exercises. in all, i learnt a lot.

This Course have practical examples of EDA on Stock data, and have clear explainations on webscraping and have real stock data visualizations. Clearly mentioned each concepts. Gained great knowledge .

It was a great and informative course. I just hope further editions on this course can be a bit more detailed escpecially in explaining terms in the labs. Thank you for a well -put-together course.

Overall it was a useful and somewhat difficult course. There could have been more examples. I can say that I liked it. It would have been more useful to choose only more explanatory problems.

Overall it's a good hands on python programming for web-scrapping. The project could have been more challenging but it is not. I hope the future versions of the project is more challenging.

I'm very thankful for the financial aid for this and others courses of the moduel. But it is takes too much time to get to the first practical data science content and they are too simple.

Instead of working on IBM Cloud Platform (it is free for a month, and after this period i had many troubles to login or to re-activate the account) i would like to work on SN Platform.

Material Covered was very good and meaningful in developing knowledge and skills. Unfortunately a significant amount of time was required accessing the tools to complete the work.

The peer-review is a headache. I obtained 8/12, I checked my answers and were fine. I resubmited the same, I obtained 12/12. There should be a feedback to the peers about its job.

A nice project to put into practice a few of the things covered in the previous courses. Still I would recommend stressing the importance of python knowledge for this one though.

A cool introductory project that's a great way to learn how to apply some Python basics. The project has a little too much hand-holding, in my opinion, but is still very good.

It was cool to work on an interesting project and familiarize myself with web scraping. The labs and final were challenging, but that made it rewarding when it worked out.

The course was quite good, but there were problems with nbformat in the final assignment. Plenty of complaints can be found in the discussion channel.