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学生对 莱斯大学 提供的 Python Data Visualization 的评价和反馈

510 个评分
79 条评论


This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs. By the end of the course, you will be comfortable installing Python packages, analyzing existing data, and generating visualizations of that data. This course will complete your education as a scripter, enabling you to locate, install, and use Python packages written by others. You will be able to effectively utilize tools and packages that are widely available to amplify your effectiveness and write useful programs....


Mar 10, 2019

I went though all of the Specialization program and I totally recommend it. Awesome courses, the 4 of them, challenging projects and great material and classes from both Scott and Joe.

Nov 13, 2020

Really enjoyed the class and the specialization. Reading data from csv files, then displaying it graphically, tied it all together very well.


51 - Python Data Visualization 的 75 个评论(共 79 个)

创建者 Soumyajit M

Sep 28, 2020

Good Course

创建者 Nikhil c s

Jan 25, 2021


创建者 SUNDAR . 1

Sep 5, 2020


创建者 Onédio S S J

Jan 14, 2020


创建者 pramita s

Jul 6, 2021

its good

创建者 Shubhadeep N

Apr 6, 2021


创建者 dmitri m

Sep 15, 2020


创建者 Md. R Q S

Sep 14, 2020


创建者 Deepu k

Jul 1, 2021


创建者 Ananthu r M

Dec 12, 2020



Jun 6, 2020


创建者 balaji

Apr 9, 2019


创建者 Ganapathi N K

Jun 1, 2018


创建者 Gunin G

Aug 10, 2020

Thanks to the teachers and mentor for this special course that taught me different packages and ways of scripting in Python environment. I feel this is relevant for automation and I am hopeful that I will going to apply this knowledge in my professional life soon.

However, I still believe Python Pandas could be another interesting platform for analysis and visualization. Georeferenced maps (ESRI shapefile) can be plot through Python 'GeoPandas'. Data science use Pandas due to its excellent capability for analyzing huge datasets. So, I would request that this course should include that amazing stuff as well.

创建者 Daniela R L

Oct 19, 2020

Even though the practice and final project for this class was a little harder than the previous ones, I felt like I had a little bit more understanding of the problems. It felt great when I submitted the final project and it passed with 100!

创建者 Sudhanshu C

Jun 15, 2020

Rigorous course which makes you think a lot. Not a difficult but fun course.

创建者 卓玛多杰

Aug 23, 2020

It is quite challenging and provides a basic knowledge of python plotings.

创建者 Vsevolod H

Apr 20, 2020

It is more about python basics, nor data visualization exactly

创建者 israel r g

Feb 13, 2021

Very useful materials and funny instructures

创建者 Dennis J B S M

Dec 1, 2020

Great course but last week needs more videos

创建者 Arash

Jan 28, 2020

the course needs to be more through in describing the modules

创建者 Weerachai Y

Jul 3, 2020


创建者 Md. T H B

Sep 10, 2020

2 star for first the first 2 courses! the last two course assignments are way too vague and insane level difficult. I dont know how I solved it, but literally it killed my times for no reason. Too much hard to solve the assignments as the materials are not covered in the lectures.

the owl test performs poorly , it shows error even if your local idle can provide actual output. In some cases the grader has its own rule. I bet it will take a months to solve last 2 courses if you dont have any prior knowledge of python.

创建者 Parth M S

May 21, 2020

The course is been titled for Data Visualization but the same is not reflected strongly in the contents. I was expecting more videos on pygal and matplotlib. Seems that I'm not sure i learned them or not.

创建者 Kristoffer H

Mar 29, 2018

Focus more on Python dictionary skills rather than learning to use matplotlib, Bokeh or Seaborn libraries.