Arguably the worst course in IBM certification. There were problems everywhere. The code boxes weren't loading in quizzes. The overall peer guided assignment was a nightmare since they were demanding the part which was not even taught. To sum it all up, peers checked my assignment incorrectly. The assignment grade calumniation took so long than usual. Keep in mind I've done previous courses in this IBM professional certification.

Worse course ever!

Don't waste your time - this course is just repetition of the same video "data cleaning" which is half of the whole course.

BTW they use outdated (unsupported) version of Python - Python 2. Not a big deal, but shows that the course itself is outdated. Other libraries used in the course are outdated as well - if you use latest versions you'll find some warnings or error because library has been moved forward.

The videos are chopped together and the end-of-section quizzes are full of "gotcha" true/false questions and incomplete questions that will cause you to fail and wait the 8 hours until your next try.

The content is lackluster, the videos are cut together with differing audio quality, and the presenter couldn't sound more bored.

Not a good course. I just want to get through it to finish the specialization.

This course should really just be the three lab sessions. The videos could be more helpful if they reinforced the labs, instead they gave very rudimentary descriptions of the charts. Aside from the geotagging lesson, the detail of the videos and even some of the lab content doesn't adequately prepare you for the course assignment.

By far the worst module of the IBM Certificate. The videos do not explain anything just repeat the same things over and over again and the things needed for the final assignment are not in the videos or the labs. It will take you forever to do the assignment in the end simply because you need to do lots of research on your own

The instructor skipped many things on the lectures expecting that the students will learn from the lab. The lab experience was good until I used the last lab on the last module. I couldn't run some functions. In the final graded assignment, the lack of proper tutorial on how to use JSON file, I felt like a failure.

The overall level of the cause is way too low compared to the request made in the tests. Furthermore mistakes and inaccuracies are present all'over the course material. Please review the course material and integrate information needed to perform the tests

Seems like a Pandas course instead of a Data Visualization Course. The videos are very redundant and don't really give explanation on many items. The assignment is extremely hard in relation of the quality of the materials covered in the course.

In lab there are many funtion , libiraries Which have been used first time with out any description , then I have to search for each and every funtion or lib which is way time consuming which make this course worst courses in my list.

Complete waste of time and money! Skills Network Labs was constantly malfunctioning. The labs were so glitchy that I spent more time troubleshooting how to open the labs than I did on learning the actual course material.

Poorly structured contents. The whole contents were compressed into 3 weeks. Videos are very basic, whereas lab materials are more in-depth. As such, it could be hard to have a good understanding of the syntax.

The course content is not accurate in some units. Quizzes are asking for information that was not covered in the course and some of the questions are hard to interpret, like the one for boxplot function.

Labs didn't work for the whole week. it's often happens with all IMB Data Science specialisation courses.

Videos are not really useful, labs are the most valuable, but it's always hard to load them

material for map ploting was not clear and hard hard time cant understanding how those code work

i wish map ploting part was giving more time to explain like other course material.

thankyou

Could have included detailed explanation in the videos. For a beginner, the videos are of high level presentation. Assignment included questions that were not covered in the videos.

very little instruction from the course tutor. many of the links did not work and had to trawl through forums to find the new link. poor course delivery for a very important topic

Labs do not help solve assignments. They must explain examples to learn, I have to research in google to solve. those practices are bad I don't like this way of working at all

I have to resubmit final assignment many times and wait for peer review for so long only to be reviews unfairly. Course needs grade moderation for peer reviewed assignments.

Material was good, videos were not. Poorly produced with noticeable track/volume changes within videos. Instructor was very bland and continually repeated himself.

The final task is too complicated for what we've learnt and when looking for help in the forum I've received no help, so I have been stuck in there for days.

This course does not do a good job explaining visualizations and how to plot graphs. More time needs to be taken show how to set parameters in the exercises

Teach fundamental skills. not something like how make your font size big or include colors. Make assignments a fundamental activity not a complex activity.

only course i actually didnt like. incomplete and it was easir if obly send us to cognitive labs directly, the difference is that cognitive labs are free.

The tools for practice the code in python don´t work. All the tools in cognitiveclass.ai have some error message and I can not finalize my studies.

This was the worst course in the specialization.. It was hard to follow, there weren't many lessons, and it wasn't worth the cost.