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

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you need to control html and have an understanding of some technologies that didn't appear in the course, deal with outdated materials with errors (you need to scrap the internet for solutions to bugs and problems in the code they give you, unreal...), with the need of search for a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.

This module stands out from the others in the learning track as repetitive, poorly structured from a testing and assessment perspective and light on applicable content. For example, rather than giving a link to why pie charts should never be used, perhaps take some time to cover the main points. You could use some of the time that was spent cleaning the same data set in every video.

The final assessment was poorly-described and a number of discussions seem to centre around question 3 and its format in the question vs the answer.

I've enjoyed the course, but not this module.

Final assignment doesnt work and after many hours of trying, Im yet to find a solution. Once again, another extremely poor quality IBM course. Strongly recommend AVOIDING this course. In an attempt to push their own software on you, theyve made it so the course doesnt work. Many frustrated people in the forums with one one active staff member replying (and even that is sporadically). My current error has been reported for months by different people with no solution provided.

Final assignment was the worst. Not difficult but simply to get the systems to work. Discussion forums are filled to the brim with people having difficulties. Tried to do it Jupyter notebook = issues, tried it in Thesia = issues. Instructors have made detailed information on frequent issues on the forums but compared to the 8 other courses in the IBM data analyst certificate this is by far the most problematic course.

Worst course in the data science sequence so far. Explanations are vague, examples do not always work, and assignments have new components added to them, the data are poorly suited for the visualizations (scatterplots are not used to show trends over time) and the instructor is too interested in showing how to make advanced (but little used) visualizations because they look cool--instead of focusing on common basics.

One of the worst courses available in this professional certificate. That one and the webscraping one feel like they were created in a hurry and no one ever bothered to go back and check if they work/make sense.

I would love to say i learned something in this course other than learning to be patient with unclear instructions.

This is single-handedly the WORST of the courses I have completed on Coursera. The final assignment is FULL of bugs and the staff are completely unhelpful in responding to MULTIPLE complaints about the bugs. You will not be able to complete this course if you sign up to it because of this. A total waste of time and money.

Nice contenent and lectures, however to do the final assignment and weekly lab the biggest problem was to make the environment work. I solved by using google colab installing packages. I think that the lab have to perfectly work on Watson, otherwise you do not understand if you are wrong or the environment is

O​ne of the worst courses in the Data Analyst Certification. The peer graded final took me over one week to complete, after scouring every forum and discussion filled with peope all having the same issues. This program final portion needs to be re-evaluated. It was not helpful to understanding the material.

This course was very poorly thought out with an abhorrent final assignment. The forum was filled with classmates trying to figure out how to get things to work, and help from the instructors was copy/paste and not very useful. Many people will drop the certificate here I'm sure. Would not recommend.

This is the only course in the series I had trouble with the labs in - to the point that it significantly impacted my ability to even learn through troubleshooting my mistakes. I also don't understand how there is an optional assignment that is required to pass the course. That's not optional.

There needs to be a better way to submit coursework - the mess of having to screenshot and try to fit in all graphs was more laborious than the actual work of the course. A sentiment shared by MANY other people taking the course based on the discussion boards.

This is by far the worst course in the whole specialization. The final assignment has many syntax errors, still stuck with it after two days, and the video materials don't cover enough to understand the problematic and solution of the final assignment.

What a bad ending to a beautiful story. The assignment was just a party pooper. I enjoyed every topic of the course, but for me to spend hours solving syntax took away all the excitement. Very disappointed with how the assignment was structured.

The course material is outdated. I could have watched a 30 min Youtube video and learned more. The final assignment and the peer reviews are a waste of time. Really, you make me fix html tags and then look at screenshots?

This course quizzes you on things no one cares about such as 'Artist Layer' which has no relevance in calling a function. Folium library was the only cool thing about this module. Glad it's done!

This was a monsterous let-down as a class. I already know how to GOOLE things. I am paying $50.00 USD/ month to be TAUGHT some things. Not spoken AT, and then tested on things that aren't taught.

The labs and quizzes are locked, it says it will open when it is scheduled, but all the students are waiting eagerly for it to open. The lecturers don't respond to the forum comments...

great course but they lock your quizes and assignments and tell you

" This item will be unlocked when the schedule opens"

absolutely terrible technical management by coursera

L​ab errors, too much grading, ID verification that doesn't. If you're trying to convince me not to pay for IBM or Coursera courses you have certainly succeeded.

This course is broken, not able to access the assignments and the problem statement for the peer graded assignment is not stated properly.

Good course until the peer reviewed assignment, which doesn't work and will drive you to craziness trying to find a way to get to work