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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
12,148 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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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

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Jan 19, 2023

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Nov 3, 2022

nice

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Sep 28, 2022

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Apr 26, 2022

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Apr 25, 2022

good

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Jan 21, 2022

good

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Dec 24, 2021

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Dec 18, 2021

good

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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

By Haowen W

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Jan 31, 2020

Good

By Yu M C

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Dec 10, 2019

good

By Manea S I

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Sep 14, 2019

nice

By Prabhu M

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Sep 7, 2019

good

By Nay L

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Jul 14, 2019

good

By Aditya J

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May 22, 2019

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By Piotr M

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Oct 29, 2018

Nice