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Retour à Applied Plotting, Charting & Data Representation in Python

Avis et commentaires pour d'étudiants pour Applied Plotting, Charting & Data Representation in Python par Université du Michigan

6,124 évaluations

À propos du cours

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework. The third week will be a tutorial of functionality available in matplotlib, and demonstrate a variety of basic statistical charts helping learners to identify when a particular method is good for a particular problem. The course will end with a discussion of other forms of structuring and visualizing data. This course should be taken after Introduction to Data Science in Python and before the remainder of the Applied Data Science with Python courses: Applied Machine Learning in Python, Applied Text Mining in Python, and Applied Social Network Analysis in Python....

Meilleurs avis


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 ..


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.

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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.


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.


18 mars 2018

Thanks to the course instructor and team. It is an excellent learning environment and the effort.