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 Jacqui T•
Labs are very interesting. Would suggest including more data wrangling techniques (to better align with the final assignment), and removing Mapbox Bright references. On the whole, this was a far more interesting module than I had expected.
por PATEL D K•
The Course helped me to clear my doubts and made my concepts of Data Visualization more strong.
The Ungraded assignments helped me to apply the concepts in practice. The quizzes were easy and I think there should be more questions in quiz.
por Matthew A•
OK overall - but I wish there were more and smaller hands-on exercises. Also, waiting to load 3rd party libraries in exercises is quite slow (3-5 mins for choropleth, for example) - it would be nice if these could be pre-loaded somehow.
por Paul R K•
Good intro to matplotlib, visualization of dataframes. Some of the more advance content, e.g. choropleth maps, relies on older versions of some of the python packages (folium) so the examples need to be updated for the newer versions.
por tal h•
the course is great, however, I think matplotlib's structure should have been explained in greater detail, this would help the student to accelerate the understanding of the library's documentation and implement his visualizing needs.
por Luis A A•
Great module to learn about the most common different types of plots we could generate with Python coding. I would suggest to deepen more in Matplotlib's Pyplot scenarios, including tick, label, legenda nd filling options.
por Leonardo J C•
I enjoyed the course to the fullest. My only complaint is regarding question number 2 in the final assignment. The bar chart that we were requested to create and display is not shown in the videos or labs how to create it.
por Reşat C B•
Generally good content with great lab additions except for Folium. Folium 0.5.0 is outdated (it is 0.11.0) now and the choropleth method is deprecated. Also, the final assignment threshold label differs between versions.
por Kenneth C H K•
Course content is good. But there're some replication for each video about "recap of the data". The final assignment is quite difficult because I need to find some codes from the internet to meet some task requirements.
por Lingyan F•
After learning, I still feel a bit confused. I think it would be better if there is a comprehensive summary, such as: what graphics use which imports, and the comparison between the coding required by each graphic
por Abdouraman B D•
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.
por 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).
por 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.
por 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
por 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.
por 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!
por 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.
por 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.
por 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"
por 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.
por 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.
por 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.
por 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.
por 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.