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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
3,856 個評分
624 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....

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.

篩選依據:

576 - Applied Plotting, Charting & Data Representation in Python 的 600 個評論(共 610 個)

創建者 Chenxin Y

Mar 09, 2020

Assignments are very unclear and too subjective. Have to look through the discussion forum to understand what is required.

創建者 Rodolfo G

Jun 21, 2019

it is not as extensive as other courses in Coursera, it should try to expand a little more its content

創建者 Leon V

Apr 04, 2017

Seemed more introductory, here are the tools - go have fun rather than actually teaching teaching

創建者 David M

Oct 14, 2018

Much more refined that course 1 in the specialisation. Worthwhile to practice matplotlib

創建者 Karen Y

Jul 30, 2017

This course gave a solid introduction to plotting, charting, and data representation.

創建者 Isuru W

Jul 03, 2018

This is ok. I don't think it is very structured. Homeworks are not guided well

創建者 Richard L

Aug 20, 2018

More technical guidance and concrete examples would be much appreciated.

創建者 Harshith S

Jun 03, 2019

Better than the previous one. But still very vague explanations

創建者 Peter B B

Feb 10, 2018

Fine for learning matplotlib, little additional benefit

創建者 Sylvain D

Mar 19, 2018

Good but I feel not comfortable with peer reviewing...

創建者 Jesús P S

Jan 09, 2018

Not so good as the first course of the specialization

創建者 John W

Mar 20, 2018

Solid, but not as good as Applied Machine Learning.

創建者 Sandeep S

Sep 20, 2019

Week 4 - Assignment is very frustrating.

創建者 Avi S

Jun 29, 2018

tough unexplained assignments

創建者 Rahul

Jul 03, 2018

Peer grading is not worthy

創建者 Qiang L

Jan 15, 2019

Skills taught is limited.

創建者 Muhammad s k

Oct 12, 2019

Not a defining one

創建者 Vishen M

Feb 07, 2018

Good course.

創建者 Muhammad T R

Jun 19, 2017

best I think

創建者 Daniel M

Feb 16, 2019

sucks

創建者 Jason B

Oct 16, 2017

Some of the material was interesting but on a whole not nearly as engaging as course 1. I fully can appreciate how the principles of chart design are valuable to the subject matter covered in this series but on a whole I would have liked more focus on the technical skills and maybe had the academic perspective on design extra reading.

Also the peer grading portion of this course is a little rough. The people that graded my work were great but I don't expect them to engage my work in a very meaningful way. It's not realistic to ask them to give their full effort to grade 3 assignments for an online course that they pay for. My personal preference would have been to structure the assignments so that they could be automatically graded like in course 1.

創建者 Bruce H

Feb 14, 2018

The concept is good: introduce the theory of information visualization and introduce how to make charts with Python and matplotlib. Unfortunately the materials are deficient for the programming part. There aren't nearly enough practice exercises to help you learn matplotlib. The previous course in this specialization (intro to data science in python) by comparison has many more guided practice exercises, and I am disappointed that this course does not live up to the standard set by the first course. If you are taking the complete specialization, as I am, then I guess it's worth it and I hope the next courses in the series have more material.

創建者 Filippo R

Mar 30, 2018

The rate lectures/assignment is disappointingly low, a lot of time goes only to find data available online and to find questions to answer. In my work I have plenty of opportunity to apply data science and very little knowledge on how to. This course gave me more assignments and not so much tools.

創建者 Alexandre G

Oct 11, 2019

This course only scratches the service of the subject and asks the learner to learn almost everything by himself searching the Internet. The lecture content must be expanded significantly in order to give enough knowledge for the programming assignments.

創建者 Georgii B

Mar 21, 2020

Peer-grading is horrible. Nobody reads assignments or checks your work - they just give top grade for every category and leave "." as a comment, all to breeze through the mandatory peer grading. This certificate has very low value.