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.
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 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 .
por S B A•
The course was good, syllabus was okay, I think that seaborn could have also been added in this, though waffle chart and map was very new for me...
por Tenin M L K•
Good condense course. One thing is a the recall of the data set and the lab at the beginning or at the end of each lecture which are very annoying.
por Nicklas N•
A good overview of different visualization methods in Python. The final assignment is a little tricky and requires a diverse set of Python skills.
por Sai S D•
Its a great course to learn all Data Visualization libraries in python and thier constructs. It helps me alot to learn Data Science using Python.
por Pradeep M•
Good course. However, the instructor should add a slide mentioning what kind of errors can occur in python programming and how to correct them.
por Andrew R•
Some instructions could have been clearer. The final project required code that wasn't covered in the lessons. Had to research the internet.
por Daniel E•
Not all code examples were explained thoroughly enough within the labs, definitely not within the videos. Generally a good overview though.
por Vladimir D N•
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).
por Wayne K•
Could use a little more detail in the lectures, especially in the code being shown. Example, Folium library. Overall met expectations.
Very interesting summary of different graphs I saw in my life, though the data can't be imported to the Jupyter notebook for exercises.
por Luis A R P•
Great course with a lot of avaliable tools for using in data analysis. Although i'd enhance the didactive material offered in the labs
por Meenakshi S A•
A very good course which begins with the basics of visualization and then dives deep into various kinds of visualization techniques.
por Reid Z•
Good overview, sometimes a little too much copy and pasty, not enough critical thinking required that would help solidify the ideas
por Aditya M•
Great course! lots of useful visualization techniques were covered. Final project was very good. Quality of videos can be improved.
por Hrishikesh S•
Nice introductory course on basic visualisation patterns. Videos are short and needs additional readings and examples to work with.
por Amara C E•
I learned a lot. I was very challenged. The Dash programming needs to work early in the course to build confidence in the teacher.
por Aarya B•
course is great, but most of the content is covered in lab sessions. please if possible try to add more content in video lectures
por Jennifer R•
Very interesting content! But, most quizzes test on content that wasn't taught in the course so the quizzes are very difficult.
por Oluwaseun O•
Comprehensive course with detailed lab practice to reinforce taught topics. Would be nice to have in-video quizzes for recaps.
por David C•
Good course, however, should add some additional readings on the topics. Because the videos don't develop too much the topics.
por Fredrik S•
Liked the course, but way to hard final exam. Had to hack and make all sorts of twist and turns to get the dashboard running.
por JAINAM C•
This course provides a good and brief knowledge about data visualization and the labs and final project are also satisfying.
por Teodor-George C•
good basics + interesting things like maps. Only 4 stars because I find map visualization interesting but not very useful