Great course, one of the best course to get hands-on learning for Data Visualization with Python. Particularly the lap exercise, it will make you think on every line of code you write. Excellent!!!
It's a really great course with proper hands on time and the assignments are great too. i got enough opportunity to explore the things which were taught in the course. Really Satisfied. Thanks :)
par Dalil A•
Very tough course, needed to really dive into books about folium and etc...for the final peer to peer grade exam
but thats fine, sometimes in data science you need to really look and search to find solutions.
par Florent M•
Cours intéressant et évaluation pertinente. Il est cependant plus optimal de s'appuyer sur des ressources externes pour avoir accès à des mémos sur Pandas et Matplotlib (il y a de très bons sites là-dessus).
par Phenil B•
Videos were short and could have explained the lab work better. Also, the Data was discussed in every single video which was annoying and I always skipped 30 seconds in every video.
The course itself is nice.
par Joshua M•
Course material did not prepare you well for the final assignment, the final assignment was too difficult and didn't have enough clear instruction. Overall, the course material was very interesting though.
Course was interesting. Few more sample exercises on the features of map, artist layer could have been useful. Since these are more visualizing concepts which requires more practice and thinking. THANK YOU
par Tiffany W S•
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.
par Darwin M•
Good course, some of the lab assignments did not load properly so it was difficult to practice... (week 2 & 3). Assignment was good after using Jupyter Notebooks as the scripting interface. Thank you!
par Alexandre N•
This course is asking for more details. It could be extended to one or two more weeks in order to provide broader understand and examples of how to make good use of visualization tools and resources.
par Siwarak L•
The final assignment requires self-research (not included in the course material) to fully complete the required items. The course shall cover all that the assignment requires, at least touch a bit.
par Юдин В Д•
In each video we transform dataset and it take more 1 minute for each video. Will be good if in video will be some quick quiz as in "Data Analysis with Python" and "Python for Data Science and AI"
par Tirth J R•
The Course Was Good. It would have been better if some lab sections were covered in labs. As we all know understanding a code then reading might help the students grasp better faster and deeper.
par Mahvash N•
More in class projects similar to final assignment where we can challenge our knowledge as we are all remote and it takes time to communicate through the available coursera forums.
par Manik H•
The labs were good but the issue was the extremely rushed up videos. A lot of concepts, especially the artist layer was not covered will in the videos, which made me give this course 4 stars.
par Miguel C V•
I learned solid bases on different data visualization tools, it was an overall good course. The one thing I think could be better is to provide more exercises to work with the Artist Layer.
par Carsten K•
Good coverage of different plots. Videos are somewhat repetitive regarding the dataset (most of them could be about 20% shorter due to this). Labs (in Jupyter Notebooks) are great practice.
par SAMIR B•
The course was beautifully structured. I would like to request to add the conditions on which tiles Mapbox Bright works. At times the tiles dont work and we are not sure of the root cause.
par Shivam S•
Kindly update the final assessment of this course work since it is quite difficult to work with it, as the content related to the assessment cannot be found in the course videos. Thanks !
par Christopher I F•
I learnt an awful lot so I would give the course at least 4 stars. The opinions I got from the forums and the marking was that a lot of people really struggled and quite a few gave up.
par Henry C Y•
Excellent course. The labs really challenge you because some of the material is not directly taught or the syntax differs slightly from what is taught so you have to hunt for answers.
par William P•
Great Course, would have liked to have labs/exercises that coincide with the video as he is presenting. Instead, it is designed to watch the video then go back and complete the labs.
par Abby M•
The course had a great examples and samples for common and uncommon visualizations. The course lacked the background to be able to import the geojson properly for the final though.
par Farah A•
Good course, but I found the final assignment hard to complete, spent quiet sometime researching to be able to complete it. Providing the correct solutions would be helpful
par Jakhongir K•
Overall really good. However, would be better if a few videos added about object-oriented visualization. Also some links and methods used should be updated to the latest ones.
par Michael J L•
Best of the 5 IBM Data Science Courses I've taken so far. Some problems connecting with the labs, but you can bypass these by downloading the ipynb's from cognitiveclass.ai.
It was very nice and brief course but it could have been better. Some other topics must be included and some more exploration of different properties needed to be addressed