LS
27 de nov de 2018
The course with the IBM Lab is a very good way to learn and practice. The tools we've learned in this module can supply a good material to enrich all data work that need to be presented in a nice way.
AM
13 de ago de 2020
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!!!
por Aravindan N
•9 de ago de 2019
Excellent lab materials. But the presentations can include a bit more contents to explain the packages better.
por Asavari P
•2 de fev de 2021
The course was very informative, but seemed a little fast paced. A few more practice assignments would help
por Patrick M
•18 de jul de 2019
Videos were not helpful in learning the different visualizations you could make but the notebooks were.
por Sili L
•1 de mai de 2019
The class is too short to get into much details. The projects are much harder than those practice labs.
por Charae G
•13 de abr de 2021
Other than the issues with the final assignment, I found this to be a very challenging but fun course.
por Ninad M K
•18 de jul de 2020
This course was good and gives me a clear understanding of how to use data visualization with python.
por Nicholas J F
•27 de mai de 2019
Good content, but again, in the final problem resources beyond the scope of the course were required.
por Muzamal A
•25 de abr de 2020
I just wish instructions were given more in details in the video rather than giving only assignments
por Thomas F
•11 de out de 2019
Not great audio on the vidoes, but an excellent introduction to many python visualisation techniques
por Akil
•29 de jun de 2020
the final assignment was a bit more complicated than the labs and I had to look online for support.
por Nikola S
•29 de jul de 2021
In general, a good course. Some videos could be updated and there is some unnecessary repetitions.
por Xiao K
•24 de dez de 2019
The course itself is very useful, but the content in some of the lectures may need to be updated.
por Adrian A
•2 de abr de 2022
Good content.
Note: assignment submission of answers into the format requested - time consuming.
por Daniel S d l G
•25 de jan de 2021
Some hands-on are more difficult than expected according to the level of examples on the course
por Liam M
•23 de jan de 2019
Really helpful, but some of the more complex topics are glossed over and require extra reading.
por Jesse Z
•18 de jun de 2019
Final project required a bit more google searching than I'd expect from an educational course.
por Shivam S
•15 de dez de 2020
Overall course was good, if more exposure to coding were provided than it can benefit a lot.
por Mujeebullah Y
•23 de out de 2019
Overall, the courses need more explanation of the code used in performing the various tasks.
por Christopher N
•18 de ago de 2022
It is so hard to learn the code here. I have to find other sources and many documentations.
por DEWA G D
•12 de abr de 2020
Jason data that set for map exam can not be use or maybe there should be other way to do it
por Abdul S M G
•19 de mar de 2020
Great course to learn python to visualize data which is an important piece in data science.
por Vishal P
•21 de nov de 2019
Good Skills Learnt. However, some of the labs have outdated codes. They need to be updated.
por alberto i
•15 de jul de 2019
very well structured and insightful, gives you a good idea of the potentiality of the tool
por Kostiantyn P
•4 de abr de 2020
Lab environment loads very slowly for me, not sure why. library installation tooks ages.
por Esteban A
•18 de jun de 2020
It is a solid intermediate course to deep inside the graphical posibilities of Python.