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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

5,749 个评分
978 条评论


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.


926 - Applied Plotting, Charting & Data Representation in Python 的 950 个评论(共 961 个)

创建者 Isuru W

Jul 3, 2018

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

创建者 Richard L

Aug 20, 2018

More technical guidance and concrete examples would be much appreciated.

创建者 Harshith S

Jun 3, 2019

Better than the previous one. But still very vague explanations

创建者 Sanjay S

Aug 11, 2020

This was a good course. I learned a lot about charting.

创建者 Xavier P C

Apr 20, 2020

The only course in the specialization that's worth to do

创建者 Peter B

Feb 9, 2018

Fine for learning matplotlib, little additional benefit

创建者 Sylvain D

Mar 19, 2018

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

创建者 Jesús P

Jan 9, 2018

Not so good as the first course of the specialization

创建者 John W

Mar 20, 2018

Solid, but not as good as Applied Machine Learning.

创建者 Rizvaan M

May 5, 2020

Overall a good course, but has to improve.

创建者 Sandeep S

Sep 19, 2019

Week 4 - Assignment is very frustrating.

创建者 Avi S

Jun 29, 2018

tough unexplained assignments

创建者 Rahul G

Jul 3, 2018

Peer grading is not worthy

创建者 Mohd S M

May 6, 2020

Little hard to understand

创建者 Qiang L

Jan 15, 2019

Skills taught is limited.

创建者 Camila U

Nov 11, 2020

This was a hard one.

创建者 Muhammad s k

Oct 12, 2019

Not a defining one

创建者 Vishen M

Feb 7, 2018

Good course.

创建者 Tahir S

Jun 19, 2017

best I think

创建者 Daniel M

Feb 16, 2019


创建者 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.

创建者 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.

创建者 Gisela M O

Jun 11, 2021

s​ince i was given the course for free i dont regreat taking it. while doing the assigments i learned new things. but to be honest very little from what i learned come from the course content, as i mostly had to research everything online, and there's no usefull feedback. the first course of this especialization was much better.

创建者 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.

创建者 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.