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.

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.

It is the best course for now among the course 1,2,3,4,5(that I have taken). However, I am expecting much harder and difficult projects :)

the project was definitely good and usefull, I had some problems with IBM cloud and watson but other than it was a nice course

The project needs some Python coding concept which is not covered in previous section, may be hard for first time programmer.

Course is good. Sometimes, the kernel in the studio had to be restarted to evaluate all the cells in the Jupyter notebook.

IBM Data Pack for Cloud is a little bit frustrating tool unfortunately.

The whole course content is great. Thank you!

Loved the course. Super hard for me and I liked it. It was a good challenge with real world examples. Learned a lot.

Mostly went over webscraping data. If you are looking to hone other skills, try one of the other IBM project paths.

Great practice!. It would be helpful to have more guidance to solve the error when using the make_graph function

This course is usefull if you are very much intrested in Data Analysis.Because this real time project Course

Some screenshots of the IBM tutorials are out of date. Other than that, it is a great session!

The Hands-on labs weren't working correctly, and you have little time to complete everything.

Some peers don't see that the answer in final assignment is right and still deduce my marks.

Basic and most important concepts are taught and assignment was also worth it ! Kudos Team!