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Learner Reviews & Feedback for Applied Plotting, Charting & Data Representation in Python by University of Michigan

4.5
stars
6,219 ratings

About the Course

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....

Top reviews

OK

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 ..

RM

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.

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801 - 825 of 1,035 Reviews for Applied Plotting, Charting & Data Representation in Python

By Mohamed A H

Oct 26, 2018

The instructor is very professional. The course has really high-quality academical information that come very valuable and handy when you get to create charts and visualize the data. Definitely recommended!

By Steve M

Mar 3, 2018

An very good overview of how to develop honest, functional and aesthetically pleasing data visualizations. With additional instruction in how to use matplotlib and Seaborn, it would be a five-star course!

By Marija K

Mar 17, 2021

I liked this course, but I thought that it would be a little more advanced. I would have liked if it dived a little deeper in how to use visualizations to make decisions while analysing and cleaning data.

By ayush k

Jul 5, 2018

Practical course with hands on exercise to make you well versed in Applied Plotting, Charting & Data Representation in Python. I recommend at least every college student should experience this course

By Ivan R

Feb 28, 2018

It contains very good recommended lectures, good material and explanation about matplotlib to grasp a big picture. However, you must invest a lot of time on your own to research deeper in the topic

By Vishal S

Mar 20, 2018

Week 1 is a little bit theory and boring for me because that doesn't interest me but week 2 and week 4 is amazing. Especially week 4 assignment is too good. Overall the course is worth learning.

By Brandy B

Aug 18, 2017

I thought this was a really good introduction to matplotlib and some of the things you can do with it. The final project we got to apply what we'd learned to real data, which was a lot of fun.

By Tarun Y

Aug 3, 2020

This course is really helped me not only to increase my knowledge about the tools but also with the help of the additional reading and optional assignment help me out to improve my skill.

By Vidya M S

Aug 23, 2019

It's a good intermediate level course . Prior work in Python plotting functions does help . Assignments are good and make you stretch your skills . Discussion forum is quite supportive.

By Ezequiel P

Sep 8, 2020

Good course! Could be improved by assignments better suited to the lectures. But having them pushing a bit further and forcing you to figure things out on your own is definitely great

By Temuge B

May 16, 2019

Week 1 of the course is complete waste of time but weeks 2 to 4 are decent. Only complaint is that the assignments are not very clear and also it doesn't go very deep into matplotlib.

By Venkata K N J

Aug 19, 2020

Great topic to learn. Fantastic assignments - learnt a lot from self learning, stackoverflow mainly. Though the course cannot cover all the details, major topics have been covered.

By 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!

By 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.

By 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.

By Rahul M

Oct 8, 2020

This course is very helpful before doing any machine learning course. It helps us in understanding and creating our own visualizations, insights and representations of data.

By 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.

By Vishnu V M

Jun 7, 2021

The course is good, but could have been much better. I really appreciate the efforts placed in this course. But I felt that some of the important concepts were missing

By 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.

By 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.

By 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

By 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

By 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.

By 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.

By Justine P B

Jun 30, 2023

If there is going to be changes in the videos, I'd recommend showing the notebook environment rather than the narrators, or a small screen showing the narrator.