Chevron Left
返回到 Applied Plotting, Charting & Data Representation in Python

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

5,294 個評分
887 條評論


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 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 ..


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.


826 - Applied Plotting, Charting & Data Representation in Python 的 850 個評論(共 873 個)

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 Kamruzzaman T

Jun 29, 2020

One of the best courses. However, the assignment questions lack clarity. Teaching Staff absent.

創建者 Daniel W

May 28, 2020

I liked the course but not so much the fact that every assessment was to be reviewd by peers

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 Sanjay S

Aug 11, 2020

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

創建者 Xavier P C

Apr 20, 2020

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

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 Rizvaan M

May 05, 2020

Overall a good course, but has to improve.

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 Mohd S M

May 06, 2020

Little hard to understand

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


創建者 Phil L

Jun 29, 2020

Programming can be a slog when the right materials are not available or the documentation is sparse. It is for this reason that I choose to take and pay for a course instead of muddling around the documentation alone and pulling my hair out. This course does not remedy that issue. I find the professor likeable and he cares about his subject but I have to say it directly and bluntly: the videos are examples of teaching issues with incomplete treatment of basics before moving onto complexities. There is more than a little word salad to get through in the videos which are more and more frustrating as you re-watch them expecting you might have missed important info needed to complete the assignments. It is frequently the case that you have to dedicate far more time to background research in order to complete exercises than the time commitments quoted here. This course could be so much better with some rethinking on how to emphasise and present key concepts so that we are enabled to start from a solid base instead of wandering half-lost as soon as we begin coding. Maybe a collab with professor Severance could remedy.