Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5

stars

11,819 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

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.

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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1376 - 1400 of 1,858 Reviews for Data Visualization with Python

By Tianyi L

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Feb 23, 2020

Projects are interesting. Labs could teach more.

By Mohammad Z P

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Jul 22, 2019

The labs and assignments are really interesting.

By Stijn d b

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Mar 10, 2019

most interesting course in the IBM python series

By DEEPTI C

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May 5, 2020

all parameters/options not explained in videos.

By manish c

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Apr 4, 2020

best course for beginners in data visualization

By Rajdeep R C

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Jul 19, 2019

It was good. Though the video content was less.

By Angela O

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Jun 12, 2024

Lab instructions often unclear or inconsistent

By Sai K K

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Jul 31, 2021

I had learned many new things in this course

By Christopher R

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Oct 31, 2020

Some of the labs had confusing instructions.

By Patricia W

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Aug 31, 2020

Great course, good information! Learn a lot!

By Jen S

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Apr 15, 2024

The platform to learn Dash was frustrating.

By Arya V

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Jun 28, 2020

videos should have more examples with code

By Christian

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May 17, 2020

The final assignment is really complicated

By Marc V

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Aug 8, 2020

A bit more charged, but liked the whole.

By Xiao H

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Aug 20, 2022

I am not very clear with all the samples

By Pedro G F

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Apr 15, 2020

Notebooks in Week 3 need some updating!

By Eduardo L S

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Mar 3, 2021

Great course with useful lab exercises

By rabaa a

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Jan 28, 2020

Some of the exercise tools didn't work

By Germán G

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Apr 8, 2022

the last project was very complicated

By Thierrawat J

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Mar 23, 2020

The assignment is a bit too difficult

By Juan I

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Aug 4, 2023

Last task should be better explained

By Muzahidur R

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Oct 7, 2021

Great course on data visualization.

By Troy S

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Mar 25, 2019

Much harder than the other courses.

By Gopi K P

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May 4, 2021

The lack of labs was a big problem

By JEROME F

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Apr 6, 2020

The system was down several times.