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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
3,554 個評分
582 個審閱

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....

熱門審閱

SB

Nov 03, 2017

Loved the course! This course teaches you details about matplotlib and enables you to produce beautiful and accurate graphs.. Assignments are challanging, and helps to build a solid foundation.

ML

Jun 28, 2017

Good course to learned matplotlib and other Graphs libraries, but the course goes further than Python and also encourages the studies to create more meaningful and beautiful Graphic views.

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76 - Applied Plotting, Charting & Data Representation in Python 的 100 個評論(共 568 個)

創建者 Phat N

Dec 09, 2018

Very good course for start learning Visualization in Python! :D

創建者 Sumit M

Jan 07, 2019

It's a very good course and Our Instructors are excellent, I felt very connected to them during the course.

創建者 Gaurav P

Dec 07, 2018

Good concepts of visualizations

創建者 Martin U

Dec 08, 2018

Great course. Really pushed me past my comfort zone which in turned forced me to learn what I otherwise would not have.

創建者 Aditi Y

Feb 05, 2019

This was a very informational course, when you can visually see actual trends that has happened in the history or interesting facts from all over the world, with proper data backing up. What I liked the fact was how Tufte's and Cairo's principles are strongly emphasized throughout the course to get the best results possible.

創建者 James S

Feb 13, 2019

Excellent course. Very well thought through. The Week 3 project is really great too. As challenging as you want and definitely worth working hard on it. You'll learn a ton.

創建者 Pieter J V V V

Feb 13, 2019

Inspires you to create attractive visualisations with a balanced representation, while creating something what you really want, while actively suggesting to explore the API to get to that result.

創建者 Victor V d A

Feb 27, 2019

Excelent

創建者 Le N P

Jul 16, 2018

great course!

創建者 Jiang H

Jul 10, 2018

Little difficult but quite worthy.

創建者 Benigno C A

Jul 12, 2018

Very nice course, it forces you to explore different sides to plotting that are quite useful for your toolbox.

創建者 Val A B

Sep 22, 2018

I found this module to be the most enjoyable of all the Data Science courses offered by UMich. The method of instruction isn't only aimed at plotting data in various charts but it also focuses on the subjective part of visualization. I had fun doing the assignments, especially the 3rd and 4th week assignments, and I could say that I have improved a lot with my visualization skills. 10/10

創建者 Marc

Sep 13, 2018

good class and materials

創建者 Juan M C T

Sep 14, 2018

Excellent course

創建者 Liang J

Sep 15, 2018

Great!

創建者 C T

Sep 17, 2018

Very useful

創建者 Leonid I

Sep 17, 2018

Overall, the course is great and definitely deserves 5-star rating.

However, it starts quite slow and in my opinion first few lectures discuss irrelevant topics, like minimalism of presentation. The problem is that a person can't grasp them without experience...

For example, several videos discuss idea of Edward Tufte. I understand that CS and mathematical statistics are the background of the instructor, but really, Tufte had only repeated well-known basics. Indeed, it was Leonardo da Vinci who first said that "simplicity is the ultimate sophistication". He was followed by Antoine de Saint Exupéry with "It seems that perfection is attained not when there is nothing more to add, but when there is nothing more to remove" and the KISS principle of Kelly Johnson of Lockheed Martin Skunk Works.

Perhaps, for the authors of the course software engineering is closer: https://wiki.archlinux.org/index.php/Arch_Linux#Principles ...

創建者 Jan Z

Aug 26, 2018

Great course. Thank you!

創建者 PETER R

Aug 27, 2018

this has been an interesting course learning the pitfalls of trying to cleanup and merge data sets

創建者 Ilya Z

Aug 09, 2018

great

創建者 Anitha t

Aug 10, 2018

pretty good

創建者 Santiago D B

Aug 11, 2018

Well structured course, gave a nice overview of the matplotlib tool and the basics for data visualization. I liked the pace more than the first course

創建者 Manuel A

Aug 29, 2018

Very comprehensive and challening course on plotting, both from a theoretical point of view (how to plot) and practical (how to code and improve plots)

創建者 Bahram A

Aug 18, 2018

Great course if you want to enhance your abilities in creating functional figures!

創建者 Dibyendu C

Oct 05, 2018

The course content is of good quality and well structured to help student learn the concepts easily.