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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

4.5
3,458 个评分
570 个审阅

课程概述

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....

热门审阅

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.

A

Mar 06, 2018

Very helpful to understand what it takes to make a scientific and sensible visual. Recommended for someone who is interested in learning data visualization and does not have a background.

筛选依据:

51 - Applied Plotting, Charting & Data Representation in Python 的 75 个评论(共 557 个)

创建者 abhit p

Dec 10, 2018

A great course to learn about visualisations

创建者 Shiyu D

Dec 12, 2018

Hard, super useful

创建者 Min L

Jan 04, 2019

Good material with a lot of exercise and self learning.

创建者 Aditi Y

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.

创建者 Somaiya J G

Nov 06, 2018

Really amazing course, Christopher Brooks salute man, you explained every details in good way that one can easily understand.

创建者 Akash C

Nov 06, 2018

Great course

创建者 Prashant K M

Nov 23, 2018

It is a bit tough, but this is really make you a data Scientist :)

创建者 Phillip L C

Nov 25, 2018

Really great explanations of the tooling but the recommended books I purchased add weight to the importance to accurate representations of the data in question

创建者 Yaniel C

Nov 27, 2018

good course

创建者 Varga I K

Jan 05, 2019

It was unexpectedly deep and thorough course about visualisation principles and practice. Great lectures and wide knowledge on the know-how in Python.

创建者 Sumit M

Jan 07, 2019

It's a very good course and Our Instructors are excellent, I felt very connected to them during the course.

创建者 Xiaoming Z

Jan 10, 2019

Very informative, tightly packed, high "data-ink" ratio

创建者 Guillaume N

Feb 11, 2019

Top! could be good to speak about plotly.

创建者 James S

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.

创建者 Halil K

Feb 13, 2019

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

创建者 Pieter J V V V

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.

创建者 CMC

Feb 16, 2019

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

创建者 Eric G

Feb 20, 2019

You are going to learn by doing, less then getting a deep lecture of Matplotlib. Yes you will learn it quickly, but the lecture videos are only about 15-30 minutes a week, while the projects will take you a few hours to complete (With the last two taking significantly more time if you want them to). I was a little disappointed that I didn't get I 100% clear picture on how to use Matplotlib and Seaborn, but I do feel like I gained comfort, so it was worth taking!

创建者 Henri

Feb 23, 2019

I was not sure what to expect as many other options for plotting data are available, but I thought the course was very interesting and insightful.

创建者 Victor V d A

Feb 27, 2019

Excelent

创建者 Ross O

Feb 27, 2019

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创建者 Bruno F

Feb 21, 2019

Very interesting course. It gave me a full insight of charting

创建者 Ivan S F

Mar 05, 2019

Great course. Very helpful and hands-on.

创建者 Carlos V

Mar 03, 2019

The concepts and theory explained in the course are perfect for building a solid foundation for data representation, highly recommended for anyone looking to improve in their data-science skills and understanding of the science behind extracting insights from data.

创建者 Sandra D

Mar 05, 2019

This is a great course to learn how to plot in Python.