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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

DG

Jun 10, 2020

Great course with lots of learning. The lectures were crisp and the course inspired us to look at materials beyond the course and in the internet which is a important skill for any data scientist

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:

401 - Applied Plotting, Charting & Data Representation in Python 的 425 个评论(共 1,046 个)

创建者 Amita A D

May 29, 2018

Very nice learning. I liked the assignments very much. very challenging

创建者 Martin W

Sep 15, 2017

Great course to learn charting in python - recommended for data science

创建者 Summer X

Sep 2, 2022

Great great course makes me really learned visualization in python!!!!

创建者 Keith M

Apr 28, 2020

Great course, and interesting visualizations thought. Worth taking it.

创建者 Tim B

Feb 26, 2020

Great course to learn data visualization with Python, I learned a lot.

创建者 Harsh K

Jun 10, 2020

Excellent course with lots of insightful knowledge and self-learning!

创建者 Nilesh I

Sep 23, 2018

PLease think about adding basics of 3 d plots, at least contourplots.

创建者 Hanbin Z

Dec 4, 2017

very good lecture! It is very useful to use these visualization tools

创建者 Amit B h

Sep 19, 2019

I needed to know basic plotting and that's exactly what I received.

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 Jay S

Jun 27, 2017

Excellent course! The assignments are interesting and challenging.

创建者 Md. N I

Mar 21, 2021

This course has given me deep understanding of data visualization

创建者 Elena R

Apr 26, 2020

Great start to create really good looking and informative charts.

创建者 Tatek E

Mar 23, 2020

Excellent presentation, exercise and reading materials. Thank you

创建者 CMC

Feb 16, 2019

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

创建者 Alfredo V

Jun 4, 2018

Very good course. I really enjoyed it and I leaned a lot. Thanks!

创建者 Abhishek J

Mar 30, 2017

Excellent course to learn basic charting and plotting in python!!

创建者 Γεώργιος Κ

Jan 5, 2018

A very useful mooc. I think a must to go further in Data Science

创建者 Linh H

Nov 21, 2017

great overview of plotting mechanism with matplotlib and python.

创建者 Gustavo W

Jun 8, 2017

Good Course and Great Content! Be aware it requires peer-grading

创建者 Murari K

Jan 16, 2022

very good course for introdcution to Data Scoinece with Python.

创建者 Karina F

Jul 1, 2020

It helped me to improve my knowledge on matplotlib and seaborn.

创建者 Erol

Jun 9, 2020

Great course for the learner who want to really learn something

创建者 Phat N

Dec 8, 2018

Very good course for start learning Visualization in Python! :D

创建者 Shobhit S

Jul 13, 2018

The plotting course was not very exhaustive. Very less content.