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Applied Plotting, Charting & Data Representation in Python, Université du Michigan

2,382 notes
415 avis

À propos de ce cours

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....

Meilleurs avis

par 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.

par 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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404 avis

par CMC

Feb 16, 2019

It is a good course that covers just enough material for 4 weeks.

par Daniel Martinez

Feb 16, 2019


par Yousef Abdulaziz S Alghofaili

Feb 16, 2019

The course takes into account the theoretical approach when creating charts which is something I have never thought of! And I don't think you'll find instructors that will go that deep into theory instead of programming.

To be honest, I don't believe that charting needs any programming skills at all, it is similar to creating front-end apps, so I think their focus (a week is dedicated for it) on the theory was a great choice.

par Pieter Joan Van Voorst Vader

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.

par James Sheldon

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.

par Halil Koc

Feb 13, 2019

Excellent Course! Was very good practise for getting extremely comfortable with everything learned so far in the courses

par Guillaume Nzn

Feb 11, 2019

Top! could be good to speak about plotly.

par Iván Camilo Sanabria Rincón

Feb 07, 2019

Really helpful to improve skillset of visual communication.

par Michael Tondu

Feb 06, 2019

Matplotlib is awful. Too much focus on it.

par Aditi Yadav

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.