Data Visualization with Python

Poor study material compared to the assignment i took a long break and still managed to come back and finish Out of all the courses in the IBM Data Science Professional Certificate, this was the one I had the highest expectation for and unfortunately I was a bit disappointed.

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.

Many technical issues with the final project and no one cares... Thankyou Coursera The most exciting part yet it was from the IBM Data Science Professional Certification.

some of the exercises were not able to load for me great Although the idea of this course is good, it didn't have the same flow as the other IBM courses in the IBM Data Science Professional Certificate.

This is by far the least helpful course in the IBM Data Science Professional Certificate series.

I think the teaching in the other IBM data science courses is far better than this one, hopefully they improve this one.

I spend a lot of time at the labs, paying extra attention to the details and often following the external links suggested by the instructor.

Great course.I struggled a lot on the bar chart assignement and spent a lot of time reading documentatation.

Like others, I spent lot of time searching online, and it took me a full afternoon to complete that part of the final assignment !To summarize: it's a very important and interesting course, but video lessons should be re-recorded with deleting all parts repeating the initial database processing, and adding more topics such as artist layers, etc.

Also a lot of the things you had to know you had to figure out on your own versus finding it in the material presented.

Since students weren't able to submit code, this made it extremely difficult to answer the final project (which I couldn't figure out how to finish).

While the course was very good and showed lots of different data visualizations available in Python, the final assignment required topics that were just briefly touched upon and required quite a bit of outside research to figure out the syntax most of the material explains bits and pieces.

Although I will say for me, it took me hours to figure out the box plot, the little no-line nuances, etc.

Maybe it would be useful to re-organize the labs ?...-Week 3: as everyone mentions, the "artist layer" method is only briefly covered in one of the lab.

Few more sample exercises on the features of map, artist layer could have been useful.

Great hands-on experience Course is very well taught, it would be better if they taught us Artist Layer a little bit in detail, also the Final assignment is little bit difficult from what we have learned from the course, it would be better if labs content taught us in a video because in video we see in realtime.

The part of using the artist layer is a little ambiguous.

Now after I finished the course I don't feel that I know clearly the difference between using the artist layer or using the scripting layer.

The exercises proposed are not trivial Very wisely chosen content of ungraded lab assignments Better to read matplotlib and folium documentation and look for answers from stackoverflow.This course didn't offer enough components of matplotlib and folium.This offers lab sessions but they are not main contents.Final assignments are impossible for someone who just takes only this course.

Do practice all ungraded lab sessions.

Extremely Good The final assignment is more difficult compared to what is taught in the videos and lab sessions.

Great lectures and lab sessions!!

After struggling with the lab of week 3, I found out and took the Data Analysis Module.

lol This course and the following course "Data Analysis with Python" should be switched.

It's mentioned that "Data Analysis with Python" should be completed before this one but they are in the reverse order.

Will be good if in video will be some quick quiz as in "Data Analysis with Python" and "Python for Data Science and AI" NICE MENTORED COURSE This was a lot of fun learning to plot crime statistics of districts over a map.

The Data Analysis Python course is much better and explains similar concepts.

Wonderful contents and learning experience, especially creating/annotating Earth map and making word cloud.

Does the job of a good introduction.Very limited and restrictive practice and assinments.For a true learning experience one needs to do a lot of external research and work to show a measureable benifit.

Had a great learning experience!

Nice Overall a good course, especially the final assignment is well done.

Practice and learning deep A well done course that really gives a decent overview and exposure to the python tools for data visualization.

One of the best courses on data visualisation I have ever taken The project was well done.

Course is great but the part with Folium should be separate course (some Advanced Visualization) rather than graded part of this corse.

Others and I ended up using other sources as a way to get the results Coursera was wanting, rather than what Coursera taught us.

PRO:Content CONrecurring technical issues (data on final assignment not available )description of final assignment not clear / inconsistent to previous courses, no jupyter notebook provided This course helps every data enthusiasts to upgrade their data visualization and data story telling skills.

Keep in mind I've done previous courses in this IBM professional certification.

excelente nice course but little bit of complex course.

I agree with the feedback from other people, reminding us one or two times is fine, but in each video...

In each video we transform dataset and it take more 1 minute for each video.

But there're some replication for each video about "recap of the data".

The videos were extremely short & repetitive explaining the same dataset in each video.