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Avis et commentaires pour l'étudiant pour Data Visualization with Python par IBM

3,809 notes
416 avis

À propos du cours

"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions. The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Meilleurs avis


Jul 30, 2019

This module is extremely important for Data Scientist. This module gives you the confidence on how to explore, manage, display and visualize data concept to meet end-users requirements...


Aug 08, 2018

Excellent tutorials, great labs and fun exercises - visualization is one of the most satisfying things about data science, and it is no surprise that this course is very enjoyable!

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251 - 275 sur 412 Examens pour Data Visualization with Python

par Marouane E O

Sep 15, 2019






par Jason J D

Sep 15, 2019

Really nice course. This course has helped me build up a number of Data Visualization skills, and I am able to draw meaning and conclusions from data easily and much faster. The course labs are excellent and the final assignment was a good way to test the skills that I developed during this course!

par Feng H

Sep 16, 2019

the course video some times are not play, even after switched the network of my computer. this freak me out!

par Muhammad T A

Sep 16, 2019


par Biswajit G

Sep 14, 2019

Awesome explanation. This is the perfect course for beginner.

par Manea S I

Sep 14, 2019


par Shannon C R

Sep 17, 2019


The course teaches how to make awesome graphs, interactive maps, and more!


par Josemar T M d S

Sep 19, 2019

O Curso é muito bom. Agraga conhecimento.

par Lola G

Sep 20, 2019

The course is challenging and informative.

par Vaddi J C P B

Sep 19, 2019

Let's you know the methods and techniques that you can work on real-time scenarios. Final assignment will make you feel great letting you to work from scratch.

par Guy P

Dec 10, 2018

Very good course but labs contained many typos which were sometimes confusing

par Alistair J W

Nov 24, 2018

This was the most challenging course thus far in the IBM Data Science concentration. The quizzes are as simple as the earlier courses but the final programming assignment is much less cookie cutter and required substantial reading of the matplotlib API. As a result I think it took longer and I learned more than in previous courses.

par Serdar M

Nov 26, 2018

more explanation on functions' and methods' parameters needed

par Vladimir D N

Dec 16, 2018

Overall good course that goes through basics. It would be nice to get the students to write more code in the ungraded external tool (labs).

par Shawn F

Jan 09, 2019

assignments are using too many techniques which tutorial videos are not included

par Marian G

Jan 14, 2019

Assignment has been frustrating

par Varun V

Jan 01, 2019

Nice course. But Seaborn examples could have been more helpful. Also, please use Python 3 for examples. Thanks for the video and more better class labs.

par Yang D

Feb 15, 2019

All the course is good except the final assignment

par Liam M

Jan 23, 2019

Really helpful, but some of the more complex topics are glossed over and require extra reading.

par Jess M

Feb 28, 2019

The videos are nice and clear, the visualizations are beautiful, and I'm sure that all of the libraries presented are extremely useful. But this course is not well-suited to students who have no prior background in Python before taking the Applied Data Science specialization. I look forward to coming back and maybe having a shot at understanding the code in the labs after I take a Python programming course. The long chunks of code presented here are mostly opaque if all you have are the previous courses in this specialization.

par Troy S

Mar 25, 2019

Much harder than the other courses.

par Vincent Z

Mar 29, 2019

The most interesting course in the specialization up to now, for me at least. A brief but informative overview of all kind of plots that can be done on pandas dataframes.

To the course author: repeating the data wrangling/cleanup in EVERY video gets annoying.

par Samantha R

Mar 19, 2019

Quite an extensive course - as a beginner it went a bit over my head at times. The Assignments were challenging and the final one was a bit dissapointing - not all the elements were covered in the labs so had to trawl the internet looking for answers. Learned alot though

par Nicklas N

Jan 29, 2019

A good overview of different visualization methods in Python. The final assignment is a little tricky and requires a diverse set of Python skills.