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學生對 密歇根大学 提供的 Applied Plotting, Charting & Data Representation in Python 的評價和反饋

4.5
5,156 個評分
852 條評論

課程概述

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....

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OK

Jun 27, 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

May 14, 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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626 - Applied Plotting, Charting & Data Representation in Python 的 650 個評論(共 837 個)

創建者 James S

Feb 27, 2018

This was good course, but a little heavy going at times. I actually stopped it, then came back to it after doing course 4 in the specialization. It is worth it tho, so keep going!

創建者 STEVEN V D

Dec 28, 2017

Really interesting course covering matplotlib functionality. There is a lot of self-study required, but that's okay. Liked the demo's about Panda's and Seaborn in week 4 as well.

創建者 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.

創建者 ROBIN J

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.

創建者 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.

創建者 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.

創建者 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

創建者 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

創建者 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.

創建者 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.

創建者 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!

創建者 Andrew K

May 01, 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.

創建者 Oleksii K

Sep 03, 2020

I did not find this topic really useful. I think there could have been more details about matplotlib and less information about 'what is a good plot'.

創建者 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

創建者 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.

創建者 Isabel O

Feb 06, 2018

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

創建者 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.

創建者 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.

創建者 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.

創建者 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

創建者 Xiaoping L

Dec 07, 2018

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

創建者 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.

創建者 Haoyan Z

May 08, 2020

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

創建者 Kamil K

Sep 09, 2017

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

創建者 Yufan Y

Sep 28, 2019

Learned a lot plotting technics in python and I hope the course could taught more detailed content on different packges