Videos are so so, the same introduction for all videos with 2 minutes of data formatting, which is exactly the same in all videos, leaving only few minutes at the end of the vid's for the content of the lesson. The examples in Jupyter were interesting but not very well structured. At the end, I better used Google and Pandas documentation to solve problems and learn about the topic. Not a bad lesson, but there are just more effective way to learn in my opinion.

The videos are very repetitive and do not offer much in terms of preparation of the lab. They are very short and say the same thing about the structure of the data. The labs are very good but I had to spend time looking up solutions online that were outside of the taught material. The course really needs to be updated.

Dislikes:

-Many videos repeated just over 1 minute of the exact same content reviewing the dataset.

-Videos were very brief and then exercises would be beyond concepts taught.

-lab contained thick code to prepare graphs but not explained.

Likes:

-Enjoyed creating the maps & learning about other visualisations.

The provided material is really bad. I don't see the point of doing this course, when you have to search on internet how to do everything.

I learnt doing some things during the assessment, but not using almost any of the instructions given during the videos. They were completely useless.

It was by far the worst course I have taken in this specialization... You really should renwe the materials and add more labs, because video lectures are kinda useless. I am giving 2 stars out of respect for the effort given to put it here.

The video lessons just tell you that do some things are possible, but just in theory they would explain how to do it on labs, but the labs aren't so clear. There are days that I try to download the files for final assignment and the link doesn't work and the mentores don't answer. I didn't want to give one star to the course, because all of the other courses from IBM Data Science certification are so good, but unfortunately this course definitively doesn't scores higher than that, because I had to study on matplotlib and other libraries documentations in order to do the exercises.

After having done a number of courses with IBM and coursera I have come to expect a reasonable level of thought and usefulness put into the content. Sadly this course does not have any of that. It primarily focuses on the most mundane issues in data visualization and uses trick questions in the quizzes to try to get a lower grade on students. I very much hope they redesign this course in the future and will focus on how to plot different types of data, looking at categorical information, showing trend lines, and things that actually matter.

If I could give this course zero star, I would! Please IBM and Coursera, fix this course! It's the worst course so far in the specialization. The videos are poorly made. The labs are full of bugs. I had no prior experience in data visualization and it was extremely hard for me to follow the labs and assignments. This course it's not for everybody, but for people with an acceptable knowledge of Python and HTML. I wish all the courses in this specialization were like the SQL course. That course was beautiful. You should check that.

by far the worst course of the whole certification program. Carelessly prepared content. Full of typo and mistakes. Quiz results are not even consistent. Different answers for the same question is considered wrong. If a question has two possible answers as multiple-choice, the answer should be one of those, right? Many of the videos are repeating each other. Very little information. Waste of time and money. If there was another way to get this certificate without taking this visualization course, I would pick that way.

The course was not well organized. The instructor focused on providing very advanced content rather than simplifying the conpects in order to make it easy for the student to digest, and follow. In many times i had to search online to understand the content. Even in the final assignemt, it was asked to use many functions that was not itroduced before, and the attached files that were needed to answer the questions came with errors, and i had to search in stockoverflow to solve the attachments problems.

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.

In the final assignment you lose lot of time troubleshooting or dealing with the errors in the provided skeleton code. You can see this yourself by reading just a few consultations in the disscusion forum.

The rest of the final assignment its just basically copy/paste on the empty slots, so not really learning more than what you can already learn by watching a youtube video.

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

The course was good until the last 2 weeks when Dash was introduced. The instructions were horrible for Dash and seemed strange to suddenly change from Jupiter Notebooks to Dash right at the end.