Chevron Left
Back to Data Visualization with Python

Learner Reviews & Feedback for Data Visualization with Python by IBM Skills Network

4.5
stars
10,261 ratings

About the Course

"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....

Top reviews

LS

Nov 27, 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.

AM

Aug 13, 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!!!

Filter by:

1326 - 1350 of 1,553 Reviews for Data Visualization with Python

By Lin W

Aug 3, 2019

The course content does not sync up with the assignment, you need to self-study about many other materials to get the certificate.

By Rahardito D

Sep 29, 2021

Data Visualization with Python Course must be used on a certain date so that it is quite distracting to the target participants

By Charles J

Apr 14, 2020

Actually I think the final assignment part 1 is too difficult for the videos and lab courses to draw the bar plot as required.

By Pedro F

Aug 24, 2019

Video explanations and difficulty of the assignments don't match. Unnecessary long and tedious exercises. Needs to be revised.

By Matteo E

Aug 1, 2019

The way topics are explained during lectures are not enough deeply treated for the final assignment. It is anyway interesting.

By Spataru N

Oct 23, 2018

Out of all IBM courses so far, I didn't like this that much. IBM should put more emphasis on teaching database transformation.

By Robert T

Jun 23, 2019

Not all of the tutorials rendered correctly. Information was good. Would have preferred more questions throughout the videos.

By Fan B

Jan 4, 2022

not good, many typo in the lab instructions, many times the lab wont work out, i think this issue realy needs to be fixed.

By Paweł K

May 2, 2019

Peer grade assignment in this course is far too hard and packed with a bunch of topics not directly covered in the curse.

By Mohammad Q

Aug 23, 2019

Great overview course, I wish if there longer videos that explains the content.. not just trying to do the lab by myself

By Ramsrinivas A

Jan 2, 2020

Part about Maps can be some what more extensive. The Thing taught in Lesson and Assignment does not maps section alone.

By amir s

Sep 9, 2019

In general, it was a good course.

Some of the quizzes were very much based on syntax which I don't think is very useful.

By Sowmya S

Feb 19, 2021

The course is good. However, instructions, support and details to actually help you learn and understand is useless.

By Mahmoud H

Sep 4, 2019

The course is really good, but Matplotlib is not popular now. Plotly is trendy and more interactive than Matplotlip

By Danila M

Aug 20, 2021

Many bugs in the practice labs and the final assignment is a way too far from the material that has been taught.

By Sokob C

Jul 21, 2020

It was a difficult course but it could've been better if there were little short quizzes during all the videos.

By Aman A

Jun 5, 2020

A lot of techniques have not been covered in the module even though they did show up in the final assessment.

By Henrie E N

May 29, 2020

The course content and labs are a bit light on context considering the work required in the final assignment.

By Mayank S

Feb 12, 2020

Very less detail and seaborn was not covered which is better for visualisation than matplotlib in most cases.

By Jonathon V

Apr 22, 2019

Some of the notebooks given did not function correctly, overall did not ruin the learning experience thought.

By Ismail M

Mar 17, 2021

So many boring data recap of the same table on each graph. Except Dashboard all others are waste of time

By MNejc

Jun 11, 2019

More information about Plots, charts and overall things could be provided in the videos - on the slides.

By Peter

Mar 5, 2022

quite easy to make final assignement as almost everything was prefilled. So i didnt need to think much

By Laura T

Nov 13, 2020

Sería interesante tener un proyecto más ambicioso y que tocara más tipologías de datos para presentar.

By Nicholas F

Dec 20, 2019

There were some gaps between the taught material and the final assignment. Overall, I learned from it.