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Avis et commentaires pour d'étudiants pour Data Visualization with Python par IBM

8,286 évaluations
1,139 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


Nov 28, 2018

The course with the IBM Lab is a very good way to learn and practice. The tools we've learned in this module can supply a good material to enrich all data work that need to be presented in a nice way.


Aug 14, 2020

Great course, one of the best course to get hands-on learning for Data Visualization with Python. Particularly the lap exercise, it will make you think on every line of code you write. Excellent!!!

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851 - 875 sur 1,123 Avis pour Data Visualization with Python

par Patrick M

Jul 18, 2019

Videos were not helpful in learning the different visualizations you could make but the notebooks were.

par Sili L

May 01, 2019

The class is too short to get into much details. The projects are much harder than those practice labs.

par Ninad M K

Jul 18, 2020

This course was good and gives me a clear understanding of how to use data visualization with python.

par Nicholas J F

May 27, 2019

Good content, but again, in the final problem resources beyond the scope of the course were required.

par Mohammad M A

Apr 25, 2020

I just wish instructions were given more in details in the video rather than giving only assignments

par Thomas F

Oct 11, 2019

Not great audio on the vidoes, but an excellent introduction to many python visualisation techniques

par A S

Jun 29, 2020

the final assignment was a bit more complicated than the labs and I had to look online for support.

par Xiao K

Dec 24, 2019

The course itself is very useful, but the content in some of the lectures may need to be updated.

par Liam M

Jan 23, 2019

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

par Jesse Z

Jun 18, 2019

Final project required a bit more google searching than I'd expect from an educational course.

par Mujeebullah Y

Oct 23, 2019

Overall, the courses need more explanation of the code used in performing the various tasks.

par DEWA G D

Apr 13, 2020

Jason data that set for map exam can not be use or maybe there should be other way to do it

par Abdul S M G

Mar 19, 2020

Great course to learn python to visualize data which is an important piece in data science.

par Vishal P

Nov 21, 2019

Good Skills Learnt. However, some of the labs have outdated codes. They need to be updated.

par alberto i

Jul 15, 2019

very well structured and insightful, gives you a good idea of the potentiality of the tool

par Kostiantyn P

Apr 04, 2020

Lab environment loads very slowly for me, not sure why. library installation tooks ages.

par Esteban A

Jun 18, 2020

It is a solid intermediate course to deep inside the graphical posibilities of Python.

par Hassan H

Sep 09, 2019

Some of the lab exercises were not available online/was having problem accessing them.

par Yeh Y J

Jan 18, 2020

will be good if the module can elaborate more on how to add data label as annotation.

par Saurabh G

Aug 07, 2019

Good course. I wish they had more details on how the layers in the Geo charts worked.

par Gajula J

Jul 26, 2018

nice course but needs few improvements, screen recordings needed rather than slides.

par Alex P

Jul 27, 2020

The data processing in the assignment could align more with the examples provided.

par Askhat A

Apr 01, 2020

Some minor issues regarding e.g. Folium installation (mentioned in Forum section)

par Shawn F

Jan 09, 2019

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