Nov 28, 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.
Aug 14, 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!!!
par Andrew R•
Oct 23, 2019
Some instructions could have been clearer. The final project required code that wasn't covered in the lessons. Had to research the internet.
par Daniel E•
Mar 12, 2020
Not all code examples were explained thoroughly enough within the labs, definitely not within the videos. Generally a good overview though.
par Vladimir D N•
Dec 16, 2018
Overall good course that goes through basics. It would be nice to get the students to write more code in the ungraded external tool (labs).
par Wayne K•
Jun 29, 2020
Could use a little more detail in the lectures, especially in the code being shown. Example, Folium library. Overall met expectations.
Feb 04, 2020
Very interesting summary of different graphs I saw in my life, though the data can't be imported to the Jupyter notebook for exercises.
par Luis A R P•
Aug 07, 2020
Great course with a lot of avaliable tools for using in data analysis. Although i'd enhance the didactive material offered in the labs
par Meenakshi S A•
Apr 29, 2020
A very good course which begins with the basics of visualization and then dives deep into various kinds of visualization techniques.
par Hrishikesh S•
Apr 11, 2020
Nice introductory course on basic visualisation patterns. Videos are short and needs additional readings and examples to work with.
par Aarya B•
Apr 05, 2020
course is great, but most of the content is covered in lab sessions. please if possible try to add more content in video lectures
par Jennifer R•
Apr 26, 2020
Very interesting content! But, most quizzes test on content that wasn't taught in the course so the quizzes are very difficult.
par Oluwaseun O•
Jul 13, 2020
Comprehensive course with detailed lab practice to reinforce taught topics. Would be nice to have in-video quizzes for recaps.
par David C•
Feb 17, 2020
Good course, however, should add some additional readings on the topics. Because the videos don't develop too much the topics.
par Teodor-George C•
Oct 30, 2018
good basics + interesting things like maps. Only 4 stars because I find map visualization interesting but not very useful
par Ludovico P•
Jun 23, 2020
Overall a nice module. Unfortunately Folium didn't load on Watson Studio and could have been explained in more details.
par Franck A B K•
Feb 16, 2020
Very interesting course! I've learnt diverse tools about data visualization, and I'm ready to apply them in my projects.
par Frank S•
May 19, 2019
To much emphesis in the quiz on terrian tiles - that is something you can look up, seem no reasonable to know by hard.
Jun 21, 2020
Very useful lab sessions, but only the Mapbox Bright is now unavailable. I hope its installation can be updated soon.
par Alois N•
Jul 03, 2020
Great overview and introductory coursework. At times light on detail and needs complementing with additional detail.
Sep 08, 2019
the overall course is short and precise. The course assignment has questions that are not taught during the course.
par Shane M W•
Dec 21, 2019
This was a valuable course, but the pacing may be a little too quick. It's a lot of different libraries to learn.
par Keerthi S•
Dec 01, 2019
I felt that the week 3 was somewhat rushes on the videos without much discussion. Otherwise, great learning tool!
par Gurrapu N•
Mar 29, 2020
Appreciate the content and visualization.
Labs dont work most of the time, it hinders the progress and momentum
par Aravindan N•
Aug 09, 2019
Excellent lab materials. But the presentations can include a bit more contents to explain the packages better.
par Patrick M•
Jul 18, 2019
Videos were not helpful in learning the different visualizations you could make but the notebooks were.
par Sili L•
May 01, 2019
The class is too short to get into much details. The projects are much harder than those practice labs.