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

PRO:

Content

CON

recurring technical issues (data on final assignment not available )

description of final assignment not clear / inconsistent to previous courses, no jupyter notebook provided

The videos are very short compare to exercise covered. Assignment gives overview of how much deep the coding can go but video should be elaborating few aspects of layers of matplotlib.

Again I cannot access the cognitive class ai and this has truly hindered my learning experience. I cannot open any jupyter notebooks nor can I submit any assignments, This is really bad

Me pareció super interesante el curso, pero los videos muy cortos dejando todo el material para el lab, y el final assigment con solicitudes que no fueron explicadas durante el curso.

I am unable to reset the timelines for this course. I missed the timeline due to an emergency and the course is now frozen and I am unable to complete it. Please unlock the course.

The assessments are a little silly- the quizzes trip you up on minor syntax instead of being concept-focused, and the final assignment used some skills that weren’t taught.

1) Quite a lot of contents of the final assignment are not covered in labs/videos

2) Huge portion of videos is redundancy and repitition

3) Labs cannot be exported to HTML

The instructor provided lots of useful code, but the final assignment is unnecessarily difficult because the required code customization was not covered in the course.

Course was pretty good, except... The final project was too much of a stretch, had to google too much to figure stuff out that wasn't in the lectures or practice labs.

The lab excercises are too time-consuming, for reasons unrelated to the course material. I found it hard to simply run the programs in the development environment

T​he final project needs some review and updating. It was a frustrating couple of hours to try and get it working. I finally got it half way working and gave up.

The final assignment required knowledge that was not thoroughly explained in the videos and labs. Some of the practice labs could use more/better explanations.

Overall a good review over the different graphs, yet the course feels wonky in the flow of this courses covering stuff already studied and staying on surface.

week 4 - no outtput received in dashboard in new window plus only errors received in jupyter notebbok even after copy paste of solution in entire week 4 labs

Final Assignment covers many aspects that weren't explained in the classes. Meanwhile, every video repeats the same data management segment over an over.

Some of the content tested in the assignment is not covered by the lessons, staff is not fast and helpful in answering questions from students

Great course, very bad exam. Most of the stuff in the exam was impossible to do using the classes. Level of the exam was way too difficult...

Labs are very difficult and hard to follow. There is a big gap between what we learn from the videos and what we are asked to do in the Labs.

The final exam is way too frustrating as some content isn't covered in the course, especially about modifying the key for the last question.

There some information gaps in the labs and lectures that made the assignment quite challenging without seeking further external knowledge.

While the classes are interesting, the course should be updated.

Folium version is 0.11 now, not 0.5 anymore, and there is lots of changes.

The course content does not sync up with the assignment, you need to self-study about many other materials to get the certificate.

Actually I think the final assignment part 1 is too difficult for the videos and lab courses to draw the bar plot as required.

Video explanations and difficulty of the assignments don't match. Unnecessary long and tedious exercises. Needs to be revised.

The way topics are explained during lectures are not enough deeply treated for the final assignment. It is anyway interesting.