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.

The Project provided is great, it provided us with a tutorial on how to use pandas, yfinance. but it seems the pandas version used to make this course is outdated, it will be better if updated with using the latest pandas

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.

This "course", as described in its title, is a Python project instead of a course. The project is short and pretty easy as long as you have completed the previous Python course.

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.

The course is awesome, but not happy with the grading system (especially while reviewing). It was difficult to visualize the uploaded screen shots.

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!