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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
12,138 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

CJ

Apr 23, 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.

AA

Apr 1, 2020

This course was really interesting and it was great learning experience.A big thanks to a instructor.I got to know new things like folium library (most interesting library of python according to me)

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1726 - 1750 of 1,925 Reviews for Data Visualization with Python

By Ricardo S

Dec 14, 2020

Videos could have been a bit more engaging

By Debra C

Mar 24, 2019

Course was okay, not great but worthwhile.

By Gabriel d C C

Mar 31, 2020

Muitos problemas com ferramentas externas

By RITIK S

Mar 23, 2020

All the time practice lab is not working.

By LIM K W

Jan 2, 2020

Easily encounter 503 errors for the labs

By Andrés M

Mar 8, 2023

too many problems with theia labs

By VIGNESHKUMAR R

Dec 25, 2019

Need to improve more please

By Marina H

Nov 20, 2019

Some code did't work in Labs

By Zhivko Z

Dec 4, 2022

Very badly designed course

By Biswa B

May 18, 2021

I didn't like this course.

By Anmol P

Nov 6, 2019

More content and examples

By Em

Oct 29, 2019

The labs are very buggy.

By Naman S

Apr 17, 2020

Could have been better

By YIFAN H

Oct 8, 2019

好多东西根本没说啊,然后就要做作业,一脸懵逼

By Mark P

Sep 18, 2019

JSON links are broken.

By Musfiqul A

Feb 18, 2020

Need more hand notes

By Mateusz K

Sep 20, 2024

carelessly prepared

By pranav s

May 15, 2020

I found it boring

By Adil J

Jul 1, 2019

Can be better

By Mix U T

May 17, 2020

course is ok

By Gloria S

Aug 15, 2019

too basic

By Fabio B

Mar 15, 2019

Too basic

By Vu C T

Sep 22, 2021

By Steven B

Nov 13, 2024

Pros: The labs were pretty good, particularly the early ones that used the Jupyter notebook, and those were the main way that I learned from this course. Cons: The video lectures were not at all engaging and didn't seem very necessary, and I just skimmed the transcript or skipped them entirely. Often there felt like a lack of alignment between the videos and labs and between the different modules, as if different people had put each of them together and hadn't coordinated well with each other. The later labs, on Dash, were not as good as the earlier ones - it's a cool system, but perhaps it was just too complex for this course - I felt like all I did was fill in a few blanks and didn't really understand it. But the biggest issue is that the assessments were poor. The multiple choice assessments at the end of each module were pretty useless - most questions were trivial, a few obscure, but almost none effectively tested either programming skills or conceptual understanding. The final project for this particular course was also not very good. It involved a large number of poorly defined tasks, supplemented with copious hints that did almost all the work for you, supplying you with almost complete that only required you to fill in a few words. To have actually figured out the tasks by myself would have been very laborious, if not impossible due to the lack of specificity in the instructions. But using the supplied code transformed it into merely an exercise in careful copying and pasting, and I don't feel like I learned that much.