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学生对 密歇根大学 提供的 Applied Plotting, Charting & Data Representation in Python 的评价和反馈

6,021 个评分


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....



Jun 26, 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 ..


May 13, 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.


776 - Applied Plotting, Charting & Data Representation in Python 的 800 个评论(共 1,001 个)

创建者 Ling G

Sep 18, 2017

It's a course that is hard to be taught, because it involves a lot of human judgment in terms of aetheticism. It is good to know some examples of how to create a plot, though.

创建者 Rahul M

Oct 8, 2020

This course is very helpful before doing any machine learning course. It helps us in understanding and creating our own visualizations, insights and representations of data.


Jul 27, 2020

Great introductory course towards data-visualization. But one requires more learning to be better at data visualization apart from the contents provided by this course.

创建者 Vishnu V M

Jun 7, 2021

The course is good, but could have been much better. I really appreciate the efforts placed in this course. But I felt that some of the important concepts were missing

创建者 Haotian H

Mar 29, 2018

Assignments are pretty good, but I would suggest extracting useful info from discussion forum to the assignment page. Sometime assignments really need to be clarified.

创建者 Árpád T

Mar 28, 2018

I enjoyed this course, but the assignments are taking way more time to finish than recommended as you need to search the web for the different functions and practices.

创建者 Fernando S

Apr 20, 2020

I think there should be more guidance regarding the use of the different modules. Explanations are general, short, and important details and explanations are omitted

创建者 Nishal

Nov 13, 2019

Some good pointers in matplotlib, covers quite a lot but goes over a range of features and tools that you can come back to.

Assignments were a bit simplistic/easy

创建者 Vinícius G

Oct 23, 2017

It is a good course to learn the basics of plotting and data representation using Python, but could use more depth. I recommend it if you need somewhere to start.

创建者 Rafael P

Jun 14, 2020

Some instructions need to be updated. I needed to go to the forums to get clarify the instructions of some of the assignments. Although, everything else is good.

创建者 IGNACIO, E (

Jul 23, 2020

It was a bit difficult at first but when you start the activities, you will get to understand more of they said in the lecture! Thank you peers and mentors!

创建者 Andrew K

May 1, 2018

This course taught me a lot about using matplotlib but I wish that there were more assignments so that I got experience creating a wider range of graphs.

创建者 Ben D

Oct 19, 2017

Good course, harder than I expected. I don't really like the peer review aspects but I think they are appropriate for these sort of graphical courses

创建者 Maxim K

Apr 23, 2020

Good all in all - nice material, videos and python notebook with tasks. Automated validation of data part of assignments would come handy as well.

创建者 Isabel O

Feb 6, 2018

Nice course content! Unfortunately the assignments require additional self-study that can become quite time consuming. Therefore one star less.

创建者 Lang Y

Oct 22, 2017

Could be improved. Show more detailed instructions on commonly used methods. Have to dig through documentations to find what i need to plot.

创建者 Vipul S

Dec 27, 2018

It makes you appreciate the design process involved in visualizations. The instructor introduces a wide variety of plots in an easy manner.

创建者 Laura L

Mar 22, 2017

I learned quite a lot about plotting, especially in Python. However, there was a bit too much theory (Cairos principles etc) for my taste.

创建者 Jens-Alrik A

Dec 11, 2019

The overall content of this course is superb but I just don't like the concept of peer-reviewed submissions. That's why I remove one star

创建者 Xiaoping L

Dec 7, 2018

The topics cover the basic usage of matplotlib, however, it lacks more details or this course can dig a little deeper into them.

创建者 Andreas V

Jul 16, 2018

Overall, I really enjoyed the course and learned a lot. One star less, because the time it takes is much longer than indicated.

创建者 Vritika M

Oct 15, 2020

Great course and wonderful assignments. The only suggestion I have is to change the instructor as he does not teach properly.

创建者 Haoyan Z

May 8, 2020

NIce class! Class 3 Interactivity is a little bit difficult. Hope class forum can have fater response and more discussion.

创建者 Duy V

Jul 16, 2021

Some instruction videos could be more detailed so that students can understand the subject and do the assignments better.

创建者 Kamil K

Sep 9, 2017

Very good, difficult assignments, but lecture videos are shallow and you have to study most of the material on your own.