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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,723 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

JG

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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.

HK

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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!

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1626 - 1650 of 1,845 Reviews for Data Visualization with Python

By Pablo V V

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Mar 18, 2019

More exercises pleases. I need more practice. Please answers discussions.

By Tomer W

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Jul 13, 2020

Topics were interesting but the final task was really hard to program.

By Yash M J

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Aug 7, 2019

A lot of the code in the jupyter notebooks wasn't explained in detail

By Roshan P

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May 5, 2019

It could have more explanation and content. Everything else is good.

By Steve H

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Jul 23, 2020

quizzes are overrated vs. assignment, poor communication in forums,

By Rajat K

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Apr 12, 2020

Some aspects need updation especially the geodata plots, bar plots

By Asibur R

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Nov 5, 2022

It was great, until things messed me up, and didn't clear that up

By Ryan A P

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Feb 22, 2022

The worst Course in the IBM data science professional Certificate

By Daniel R

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Sep 14, 2019

Instruction to prepare for the final project was insufficient.

By Matthew S

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Apr 9, 2023

Course is clunky in places, not a ton of retroactive support

By Enock

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Jun 6, 2020

could be better , the last assignment is not well explained.

By Letian D

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Mar 11, 2020

Some questions are quite difficult and unseen in the course

By Alok M

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Jan 29, 2020

I didn't find the modules very helpful. Okayish Experience

By Nuttaphat A

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Jun 18, 2019

At least, this course is way more useful than the others.

By Desabandhu P

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Jun 18, 2023

Instruction on peer assignment submissions is not clear.

By Igor C

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May 9, 2020

Learning efficiency of video's material could be better.

By Pragya A

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Jan 4, 2019

it could be more intresting ...yeee good for beginners.

By Shawn H

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Jun 23, 2023

The Dash part is so badly designed, the new IDE sucks!

By Marco A Q R

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May 10, 2020

A lot of questions are not in the theoretical classes.

By Sajal J

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Dec 9, 2019

nice course for learning basics of data visualization

By Enrique J P

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Feb 10, 2019

La prueba final no corresponde con todo lo explicado.

By Andrew P

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Dec 20, 2019

some of the exercises were not able to load for me

By Radosław S

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Aug 14, 2023

Graded tasks instructions are not fully clear.

By Muyang L

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Nov 18, 2019

The lectures contain too much repeat context.

By Amir H

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Apr 2, 2019

All videos have one minute content in common.