Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5

stars

11,884 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

Nov 27, 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.

Apr 22, 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.

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1651 - 1675 of 1,868 Reviews for Data Visualization with Python

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.

By Ricardo S

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Dec 14, 2020

Videos could have been a bit more engaging

By Debra C

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Mar 24, 2019

Course was okay, not great but worthwhile.

By Gabriel d C C

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Mar 31, 2020

Muitos problemas com ferramentas externas

By RITIK S

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Mar 23, 2020

All the time practice lab is not working.

By LIM K W

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Jan 2, 2020

Easily encounter 503 errors for the labs

By Andrés M

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Mar 8, 2023

too many problems with theia labs