Avis et commentaires pour d'étudiants pour Applied Plotting, Charting & Data Representation in Python par Université du Michigan
À propos du cours
Meilleurs avis
OK
26 juin 2020
its actually a good course as it starts from fundamentals of visualization to the data visualization,the assignments this course provide are exciting and full of knowledge that you learn in course ..
RM
13 mai 2020
I am going for the specialization and I know this is just the second course in it and I haven't even seen the further courses yet, but this is already my most favourite course in the specialization.
301 - 325 sur 1,015 Avis pour Applied Plotting, Charting & Data Representation in Python
par Benigno C
•12 juil. 2018
Very nice course, it forces you to explore different sides to plotting that are quite useful for your toolbox.
par Mark H
•26 janv. 2018
Comprehensive and practical introduction to mathplotlib and data visualization in general. Highly recommended.
par Fabio B
•28 août 2017
very good - lots of practical tips , good progression , lots of good ideas and thoughts on how to present data
par Carlos A C A
•11 nov. 2020
Excellent course!. So much interesting things about data representation and principles about visualizations.
par Sumit M
•7 janv. 2019
It's a very good course and Our Instructors are excellent, I felt very connected to them during the course.
par Lars R
•26 janv. 2018
Great course addressing not only the programming part, but focusing a lot on the art of data visualization.
par Carlos A V J
•27 oct. 2021
Good course. Recommend it. The videos are good, the assignments push the student and the content is great.
par Luiz H
•31 mars 2017
Great course! Content very organized and its 'hands-on' format is really challenging. It helped me a lot.
par Petr J
•5 août 2018
Easier assignments than in the first course. Also a lot of freedom in the coursepath/ assignment choice.
par GANG L
•20 oct. 2017
This course is great. After finished it, I can use Python to draw different charts to explain my points.
par Suyash D
•17 sept. 2018
Great coursework, great work around with pandas, numpy and matplotlib, and of course, great professors!
par Miguel O
•13 mai 2019
The assignments can be challenging, and I am not a big fan of peer grading. Still, a very good course.
par Stephen L
•29 juin 2020
It's a good introduction. There is a lot to learn with this subject, and basics are illustrated here.
par Kathirvel B
•9 mai 2020
Great course. Please update the python and jupyter notebook version to the latest. Rest all are good.
par Javier e p
•9 janv. 2021
Very interesting, practical and necessary to understand how to plot the results of an investigation.
par Edgar G
•26 août 2020
Very good course, although explanations were brief they are a great guide for learning for yourself.
par Dibyendu C
•5 oct. 2018
The course content is of good quality and well structured to help student learn the concepts easily.
par Tianyu Z
•26 juin 2020
This is a really amazing course. I hope Coursera could introduce more advanced course of this area.
par Chaitanya D
•12 juin 2017
Interesting topics for the final assignment, liked the way difficulty level increased week by week.
par Dennis D
•27 juin 2021
This is a great course. I learned a lot about plotting charts and how to represent data correctly.
par Yan X
•13 oct. 2019
The course content is great and the assignments here are quite open and appropriately challenging.
par PETER R
•27 août 2018
this has been an interesting course learning the pitfalls of trying to cleanup and merge data sets
par yasmina D
•20 juil. 2020
I really liked the practice concept which wasn't there in the first course of the specialisation.
par Michal P
•28 août 2018
Really good, nice and pretty open assignments. Recommended to understand the logic of Matplotlib.
par RAVIRAJA H M
•18 mars 2018
Thanks to the course instructor and team. It is an excellent learning environment and the effort.
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