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

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
5,746 个评分
978 条评论

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

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.

筛选依据:

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

创建者 Georgii B

Mar 20, 2020

Peer-grading is horrible. Nobody reads assignments or checks your work - they just give top grade for every category and leave "." as a comment, all to breeze through the mandatory peer grading. This certificate has very low value.

创建者 Steven O

Mar 18, 2017

I think there there is too much time given to the esoteric of what makes plots pretty rather than the nuts and bolts of how to do it and the limitations of using Pandas and Matplotlib for real world data

创建者 Rodrigo L

Jun 27, 2021

I feel like I didn't learn much. Various topics are covered but quickly and superficially. The notebooks provided each week are useful. Almost all assignments are peer reviewed.

创建者 Jean-Michel P

Jun 2, 2021

Another one of those UoM courses where you learn nothing unless you scour the internet for actual education. Makes one wonder what value UoM brings to the table...

创建者 Linda L

Jun 13, 2018

I am not too crazy over the peer review assignments plus the course was hard to follow

创建者 Xing W

Jul 25, 2017

Not well organized.

创建者 Kaya Ö

Apr 24, 2019

.

创建者 jun L

Jul 28, 2018

The course does provide a good guideline on evaluate a good chart. However, as a fundamental course of introduce plot in python, I don't think the course is well structured. I can't say I learn too much from this course.

创建者 haozhen6

Aug 27, 2017

Too many jargon and all vedios is useless, he makes me feel like he is trying to show his English and Knowledge.

创建者 Avneesh D

Aug 13, 2020

Ive been locked out of the course. Unable to reset my deadlines.

创建者 Randal P

Nov 18, 2017

Hate the community evaluation process.