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 :)
por 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.
por 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 !
por 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.
por 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.
por 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.
por 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.
por 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
por 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.
por 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
por Michael L•
This course, although useful was difficult to follow at times. It did not get that into the Artist Layer of Matplotlib but the final project requires the student to use it.
por Elyass S•
It's an informative course, it even tested a student's perseverance and creativity in solving/bypassing various bugs. The final assignment was definitely an eye opener.
por Venkata S S G•
final assignment is tough. Everything else was decent and intuitive. Good jupyter notebooks and labs for practice were provided. Do practice all ungraded lab sessions.
por Christopher L•
Would've enjoyed the course more, if it got into the nitty gritty of annotations, but a comprehensive and decently delivered course nonetheless. Kudos to the IBM team.
por In W C•
Just like the few previous Python courses by IBM - errors and typos have yet to be fixed. But other than that, it is a really good introduction into using Matplotlib.
por Tichaona M•
This is a very fascinating and demanding course when one follows all the Skills Network Lab exercises. The advanced visualization tools are worth the trouble!
por Neelam S•
Examples contained less python codes as compared to asked in final assignment. More python codes for visualization are to be conveyed.
Queries are not solved.
por Seymur D•
The course content was good, but final assignment needed more clarity in the what was demanded from the question. Lots of interpretation left for the student.
por Alexej Z•
Some tests are not comprehensible in their entirety and can only be carried out with a great deal of effort. Otherwise very good content. I could learn a lot.
por Rohan B•
Course is really helpful for indulging someone into data visualization but sometimes in the lab some stuff is just present for you to figure out yourself.
por Magnus B•
The information provided was straightforward and easy to understand. However, the final lab requires extended knowledge that is not covered in the videos.
por Niladri B P•
Excellent lab material. However, I feel the video lectures were a bit too brief and could have tried to explain the technical concepts a little bit more.
por Varun V•
Nice course. But Seaborn examples could have been more helpful. Also, please use Python 3 for examples. Thanks for the video and more better class labs.
por Makinde M D F•
The Course is an interesting and practical Course. Alex Aklson, the lecturer is a good teacher too.
Many thanks to IBM and all the teachers on Coursera.
por RICHARD D•
The Course materials are brief and Short and understandable. No need to learn junk topic only relevant areas are learn in this course. Thanks to IBM .