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学生对 University of Michigan 提供的 Applied Plotting, Charting & Data Representation in Python 的评价和反馈

4.5
6,284 个评分

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

A

Mar 5, 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.

EL

Oct 1, 2017

it is a good course to help me have a glance to the data visualization area. However, I think I cannot learned a lot from the course and the homework is so easy that I haven't practice enough.

筛选依据:

1026 - Applied Plotting, Charting & Data Representation in Python 的 1046 个评论(共 1,046 个)

创建者 Rizvaan M

May 4, 2020

Overall a good course, but has to improve.

创建者 Sandeep S

Sep 19, 2019

Week 4 - Assignment is very frustrating.

创建者 Avi S

Jun 29, 2018

tough unexplained assignments

创建者 Rahul G

Jul 3, 2018

Peer grading is not worthy

创建者 Mohd S M

May 6, 2020

Little hard to understand

创建者 Qiang L

Jan 14, 2019

Skills taught is limited.

创建者 Camila U

Nov 11, 2020

This was a hard one.

创建者 Muhammad s k

Oct 12, 2019

Not a defining one

创建者 Vishen M

Feb 6, 2018

Good course.

创建者 Muhammad T R

Jun 19, 2017

best I think

创建者 TEST

May 20, 2024

Great

创建者 Daniel M

Feb 16, 2019

sucks

创建者 Chad H

Apr 25, 2023

I would love to continue with the certificate, but for the life of me, I cannot muscle through so many lectures on what makes a beautiful chart.

创建者 Lawrence F

Apr 24, 2024

You eventually learn something. Not a lot of help from the course.

创建者 Rob E

Aug 3, 2021

The course content is good, but University of Michigan stopped answering questions and providing support for this classes so you can't get any of your questions answered. Also, they updated versions so I wasn't able to use any of my work for this course for my code portfolio.

I'd recommend avoiding this course!

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 Xun Z

Jan 18, 2023

The assignment instructions were rubbish and the staff give answers like riddles, always say there's answer in another lead, well, where's that lead then?

创建者 Yash J

Aug 10, 2021

Not a good course. Most of the topics are covered superficially just to be shown as part of the syllabus with little details.

创建者 Zhen H

Aug 26, 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.