The content is fine, but there were a large number of errors, inconsistencies, and typos which made the course difficult to work through. I would not recommend this course to others. It is based around an API which was not the most stable. At times I had bugs running the code which the course designers had written, due to the code being out of date.

Not gonna lie, this one was rough compared to the others. Documentation in the hands-on labs was so-so and in the final assignment, I encountered numerous issues that seemed to be on the course's side, such as the notebook telling me that something was not installed when it is clearly being installed first thing when starting the assignment.

There were some typos in the material and overall I thought the material could have been better organized. The quizes also asked for specfic results from the labs rather than testing on knowledge of when/how to use certain tools. That said, it was okay, but of the 6th IBM courses I have taken so far, this was my least favorite.

Good real world application of ideas and situations used in the life of a data analyist. I just dont like how coursera / the instructors vaguely answer questions. I am still not totally sure how to complete all the codes and I feel like we are tested on things we haven't been taught in the class.

Me parece que se tiene que organizar mejor el curso. Hay mucho material que no va para ningún lado, ya que es repetitivo. También vale la pena profundizar en la configuración de los entornos virtuales. Ahí queda un enorme vacío. Bastaría con un link con una explicación detallada

My main concern is the copy-pasty nature of the course, which I'm pretty sure doesn't reflect real life demands. Having done CS courses in university in the past, they felt much more challenging in terms of the problem solving required in order to complete tasks.

It was a fun course, but I think that it could have more depth in other topics, it's primarily based in Web Scraping using Beautiful Soup.

Also it says that it is an intermediate course but I think that needs more content to be considered of that difficulty.

The time recommended to complete each section in my opinion is way off I'd say in needs to be increased by 10 to 15 times to sufficiently understand the material. Its no way 30 minutes is enough when now being introduced to the majority of these topics

The content was very short and learning required lot of side research. This section is poorly designed, this is not how other coursera modules are designed. This seemed to be a rush job. Suggest adding more content and reduce the steep learning curve.

The course itself was okay, but the instructions don't seem to get the final project in Watson set up correctly. Based on posts in the forums, this has been an issue for quite some time... This caused me quite a bit of frustration.

Content is good but implementation is poor, course chat support is ineffective, and resources were broken. Note that IBM did offer a month of free class to make up for the tools being down, but it was last straw at that point.

Some information like the links to the necessary data was hard to figure out, generally I learned a lot. I would recommend it anyone who wants to learn the harder way! It is intermediate, so beginners don't get headache

Definitely helpful but feels shoehorned into the Professional Data Science Certificate and more instructional material and videos to understand reasoning behind the elements of Webscraping would be beneficial.

The course content is good and great for beginner level. But faced a lot of issue in accessing the IBM skill network because of which I missed deadlines in the assignment and delayed completing the course.

I think that the final assignment of the course is too complicated, because the knowledge and programming skills after fifth course were not enough to solve the problems that were in the final assignment.

I already knew most topics. yfinance library was new to me and I fell it was not explained well. What it is, from where we get the data, is data updated? It was still fun doing analysis on real data.

Lots of errors between the code taught and what works in Python today. Had to use a lot of resources outside the course to actually learn - which was useful - but took much longer than it needed.

This course is not for absolute beginners. Some concepts are not briefly explained but they are needed to complete the assignment. If these things get better then this course can offer more.

Instructions regarding the final project or projects (not even sure at this point) was EXTREMELY UNCLEAR and UNBELIEVABLY CONFUSING... unlike the two other IBM courses I've taken so far.

the labs are not working to submit work to be graded. Also yfinance is deprecated and no longer a viable instrument for getting stock information. VS code won't even load it anymore.

This project only includes the programming questions relevant to web scraping and API. You should also include the other programming questions relevant to Python course material

Overal project assignment is good. But, using For loop for webscrapping has to be taught more in previous Course 04. Even using Dataframe is to be taught more for webscrapping.

The project was okay, but didn't test the broadest range of skills due to unnecessary repetition. Overall production and spelling were short of a quality educational product.

Needs an answer key or a better hint guide, this took way longer than it should have. There aren't enough coding drills in this course to be coding mostly from memory.

as with all of these courses on coursera there is a lot of frustration. Also it takes a really long time to get feedback and thats if you even get it.