Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5

stars

12,174 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 16, 2020

This is a very helpful course. It introduces a variety of data visualization tools. The interesting practices in the lab sessions inspired me to explore different solutions for a problem.

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!!!

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By Norboyeva A A q

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May 28, 2024

good

By Ilhom G

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May 26, 2024

GOOD

By S H

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May 4, 2024

good

By Chando A N B

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Sep 13, 2023

good

By Nguyen V T F

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Jul 23, 2023

Good

By VijayKumar H

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Mar 20, 2023

good

By SUDEEP G

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Jan 19, 2023

good

By SRI S R N (

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Nov 6, 2022

good

By mohamed a

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Nov 2, 2022

nice

By Li X

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Sep 28, 2022

good

By Santosh H

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Apr 26, 2022

Good

By joydeep g

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Apr 25, 2022

good

By Mandadi S G

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Jan 20, 2022

good

By Gang H

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Dec 23, 2021

good

By 이재곤

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Dec 18, 2021

good

By Dao X H

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Jun 24, 2021

good

By Palatip J

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Jun 16, 2020

test

By Golla M

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Jun 3, 2020

good

By Naveen S P

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May 5, 2020

Best

By gomesh n

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May 3, 2020

good

By ARIJIT K

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Apr 28, 2020

good

By Haowen W

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Jan 31, 2020

Good

By Yu M C

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Dec 9, 2019

good

By Manea S I

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Sep 14, 2019

nice