Comentários e feedback de alunos de Data Visualization with Python da instituição IBM

Assignments seem to be quite a huge jump from the course material. Otherwise pretty succinct course.

This was the most complicated to understand out of all of them, at least the final project was.

The final assignment was not straightforward. It doesn't check the visualization capabilities.

Needs better and more elaborate explanation. It's too tough to understand and execute.Thanks!

Some of the questions on the final assignment questions were not covered on this course.

There was no course material teaching us how to do one of the tasks for final assignment

A lot of material is not explained verbally, videos are half-useless and repeating.

The tutorial videos needed to have more content and explanation and not the labs.

Please have more explanation in Videos. The content is not covered enough in labs

Solid lectures, but final project and labs had errors. Fix these problems soon.

Not Fully explained. The final agriment tasks not match with course content

No Instructors helping out. Little is learned... Not worth taking.

The lab stopped working and we didn't get any support.

Questions in the peer graded are little out of scope.

need to adjust material very bad labs and tutorials

Poor examples / labs! Labs very often not working.

lack of adequate instruction for some assignments

Poor study material compared to the assignment

Need to be clearer

not very clear

Coursera:

The hands-on lab portion of the Coursera course "Data Visualization with Python" cannot be accessed for more than two weeks. Several students have posted their concerns, and they have not been answered."

On accessing the Skill Network through the site and clicking I am not a robot the screen appears that says "Please wait while we prepare to start your lab environment. This shouldn't take more than a minute." The connection either times out, or posts a gateway error more than 90% of time." I have tried on several networks, browsers and computers.

Attempts to bring this to Coursera Learning Services, led to the following email exchange:

From Coursera:

Thank you for contacting us and bringing this information to my attention.

I understand how important are your Learning goals and I'm truly sorry to know about the whole situation. The good news here is that you can Rate a course or course materials.

When you rate a course or course materials, the instructor will see your feedback. You won't usually get a reply to your comments, but if the instructor wants to follow up, you'll get an email notification to the email address you use for your Coursera account.

To rate a course:

Log into coursera.org to see a list of courses you’re taking.

Find the course you want to rate.

Above the course title, select the three-dot menu and click Rate Course to open the rating window.

In the rating window, rate the class by clicking one of the five stars.

You can also write an optional review of the course, but you won't get a direct reply.

Click Submit.

To change your rating or to send more feedback, repeat the steps above.

This is the easiest way to alert IBM about this inconvenience in the platform. I hope you find this information helpful. Please feel free to let me know if you have further questions.

Kind regards,

Coursera Learner Services

My Response:

Dear Coursera Learning Services,

This is an entirely unhelpful answer. My contractual relationship is with Coursera; you should manage your vendors.

Moreover, I have directly contacted the instructor, and despite their quick response, the problem remains unresolved.

I will file the report, because I sense that Coursera has no interest in advocating for their customers. I implore to advocate for your customers with your vendor to get this resolved.

Jayne

CAN SOMEONE TAKE OWNERSHIP OF RESOLVING THIS? PLEASE!

This course lacks of explanations. Theory is very badly built. It was clearly the worst that I have done so far. I only learn about the "existence" of some tools or posibilities but it is imposible to understand how those works.

As I said theory clarifies nothing and as for the practice exercices would only for advanced students who already know the tools and need to practice to remember again.

The final assigment reflects the lack of foundation wich is consistent in the whole course. But the worst is that you have to do a master just to post the answers. You have to really do a collage of images, cut paste... really artistic. It takes more time posting the answers than really doing the assignement. At the end you would be graded not only for the accomplish of the final assignement but for your skill in fitting different screen shots in one image. Very sad.

Lastly, it is very disappointing to see that students have been complaining for those things since 2019 and they haven't done anything about it. That is ignominious!

The overall course is not bad (even when they repeat way more than necessary the same concepts), they give you hints about matplotlib and seaborn. But I cannot rate the course with more than one star because the final proyect is a complete mess. They spend 4/5 of the course teaching you about python and then, in the last proyect you need to control html and have an understanding of some technologies that didn't appear in the course, deal with outdated materials with errors (you need to scrap the internet for solutions to bugs and problems in the code they give you, unreal...), with the need of search for a solution in the forum, where other classmates are in the same confusion as you. The worst course inside the IBM specialization by far. Not recommended, there are way better courses online to learn python visualization.

W​here to start? The staff does not answer or help with issues. In rare occasions that they do, it is to the two threats that are "recommendations" and "common syntax errors" no matter what the issue the person has. I had to prolong this course for two months due to this and still, no answers. Labs are full of errors, unclear instructions. The final peer assignment has parts that have not been clearly explained in the lectures or the labs (if you are lucky to have the labs work, My advice is to test if you can connect to localhost, if not, and you are on Windows 10 prepare for a long list of possible issues). If anyone asks me about this specialization, just based off of my experience with this course, I will recommend the Google Data Analytics spec.

Half of what is in the final assignment is not taught in the lessons or the labs. In the forum this is what everyone is complaining about. You spend your time googling and youtubing to teach yourself when you still are paying the coursera subscription fee, I completed every video and every lab and then was surprised when the assignment asks for things that were never mentioned. When this is brought up in the forum the staff just reply saying you should do your own learning. VERY DISAPPOINTING . Some content was good but not very in depth so it was then unfair to have a final assignment that was in depth.