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

6,021 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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276 - 300 sur 1,001 Avis pour Applied Plotting, Charting & Data Representation in Python

par Benjamin R

25 mai 2018

Very demanding assignments IMHO, but lots of knowledge to gain either by googling or following the forums discussions

par Shabeeh B S

5 juin 2020

This was the tough one to be honest by the middle because it felt time consuming but what was really worth at last!

par Sergio A D R C

20 juin 2020

Excellent course to learn the technicalities and apply basic but strong statistic concepts to real world problemas.

par Raunak P

4 avr. 2018

If you want to learn visualization, then just complete the assignment careully and honestly. Best course to learn .

par H.-M. F C

25 juin 2018

The only course so far I have seen which covers so much useful visualization information and great depth material.

par Adewinbi H S

18 mars 2020

The course is very interesting and challenging. In all, I really enjoyed it, most especially the last assignment.

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.