Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5

stars

11,958 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

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.

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.

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1076 - 1100 of 1,885 Reviews for Data Visualization with Python

By Johan R

•

Jan 24, 2020

excelente

By Sanjeev s

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Jan 14, 2020

Excellent

By Satishkumar M

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Jan 9, 2020

Excellent

By Sasha C

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Dec 9, 2019

Difficult

By Alvaro Q

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Nov 15, 2019

good labs

By Juan P

•

Mar 28, 2019

Very good

By 徐沛羽

•

Feb 10, 2019

wonderful

By Sofia P

•

Dec 19, 2023

Big like

By Mjd A

•

May 20, 2023

awesome!

By Murangi M

•

Apr 24, 2022

excelent

By Edward M

•

Aug 31, 2021

Great !!

By Sanjay K

•

Jan 31, 2019

Good One

By nahish g

•

Jan 25, 2025

GFDTFYF

By Jacinta G

•

Jun 9, 2020

Pratic!

By Harsha G

•

May 9, 2020

AWESOME

By Bekezela B K

•

Aug 11, 2023

Superb

By Abul B

•

Feb 26, 2022

thanks

By Kasi V

•

Nov 2, 2020

Thanks

By BHUVANENDRAN B

•

Jul 3, 2020

Great!

By Jhan C D h

•

Jun 16, 2020

super!

By Piriyapong W

•

May 26, 2020

Great.

By Purple M

•

Apr 10, 2020

great!

By sci w

•

Dec 23, 2019

thanks

By Luís A

•

Sep 24, 2019

Great!

By Onyiuke A R

•

Jun 10, 2023

Great