Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5

stars

12,214 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

May 1, 2020

Very challenging, yet that's what make it's rewarding. Even though the course only takes 3 weeks, its difficulty is on par with the longer previous course. I enjoyed every problems on it!

May 16, 2019

More in class projects similar to final assignment where we can challenge our knowledge as we are all remote and it takes time to communicate through the available coursera forums. Thank you.

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By malohatsamcity

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Jun 1, 2024

GOOD

By Sirochxonmohira T

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May 29, 2024

good

By Raxmatjonov X

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May 29, 2024

good

By Norboyeva A A q

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May 28, 2024

good

By Ilhom G

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May 27, 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 3, 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 21, 2022

good

By Gang H

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Dec 24, 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 6, 2020

Best

By gomesh n

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May 4, 2020

good

By ARIJIT K

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Apr 28, 2020

good