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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,492 ratings

About the Course

One of the most important skills of successful data scientists and data analysts is the ability to tell a compelling story by visualizing data and findings in an approachable and stimulating way. In this course you will learn many ways to effectively visualize both small and large-scale data. You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights. This course will teach you to work with many Data Visualization tools and techniques. You will learn to create various types of basic and advanced graphs and charts like: Waffle Charts, Area Plots, Histograms, Bar Charts, Pie Charts, Scatter Plots, Word Clouds, Choropleth Maps, and many more! You will also create interactive dashboards that allow even those without any Data Science experience to better understand data, and make more effective and informed decisions. You will learn hands-on by completing numerous labs and a final project to practice and apply the many aspects and techniques of Data Visualization using Jupyter Notebooks and a Cloud-based IDE. You will use several data visualization libraries in Python, including Matplotlib, Seaborn, Folium, Plotly & Dash....

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.

CJ

Apr 22, 2023

Learnt a lot from this visualization course. The one I found most interesting was making the dashboard. Although sometime the code and indentation are tedious, but this might be useful in the future.

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1551 - 1575 of 1,795 Reviews for Data Visualization with Python

By Ismail M

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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

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Jun 11, 2019

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

By Peter

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Mar 5, 2022

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

By Laura T

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Nov 13, 2020

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

By Nicholas F

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Dec 20, 2019

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

By Jairo S B

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May 13, 2021

The labs could be more detailed, the final project was hard to finish because there was not all info

By PVS S

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Oct 15, 2019

most of the material explains bits and pieces. Conceptual and Fundamental knowledge is not covered.

By Seung H J

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Dec 30, 2023

It's good to cover everything in general. However, there seems to be a bit of unnecessary content.

By Ouakani A

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Jan 7, 2022

So far this was the toughest course for me among all the courses in IBM Data Science Certification

By Andrew C

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Mar 3, 2020

recapping the data set in nearly every video was very repetitive and didn't add any learning value

By SHALINI G

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Sep 9, 2019

The final assignment is more difficult compared to what is taught in the videos and lab sessions.

By Ilia

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Apr 22, 2021

Labs not working properly, you have to look for other options to complete your final assignment.

By Denis R

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Jan 4, 2020

Some lab instructions and links to files do not work and no real help is provided in the forums.

By Li G

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Jun 28, 2019

I like the lab work but the jupyter notebook is so low to work with creating the Choropleth map.

By Cathy C

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Nov 10, 2019

The caption is very hard to save as a note sentence by sentence. They always crunch as a whole.

By VRS

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Jul 9, 2019

Course design could have been better.Still a good course.Had to research a lot for this Course.

By Elmedin S

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Apr 4, 2020

Very interesting chapter, but the labs don't load or even when they load, they were very slow.

By Aravindan S

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Dec 17, 2019

This course explains very briefly about the kinds of plots. It should have been more detailed.

By BHAVESH Y

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Sep 6, 2020

Video lectures should be more explanatory. The rest quiz and final project were really good.

By Yong S

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Sep 20, 2019

A lot of the things in the final project were not even touched upon in the course materials.

By YASHAS M

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May 18, 2020

Needs lesser recaps in each one of the videos. The course could have been much shorter.

By Pampa D

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Jun 10, 2020

It is a great course. I learned a lot. However there are lot of rooms for improvement.

By Fulvio C

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Nov 25, 2019

The training video are missing most of the commands required for the final assignment

By Constantino C R

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Dec 7, 2020

There were a lot of unnecessary repetitive explanations in the videos and the labs.

By Marek K

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Sep 30, 2022

Some of the course needs thorough redesigning. Just getting through it is painful