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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,492 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

LS

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.

CJ

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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1251 - 1275 of 1,795 Reviews for Data Visualization with Python

By Alois N

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Jul 3, 2020

Great overview and introductory coursework. At times light on detail and needs complementing with additional detail.

By Anshul

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Sep 8, 2019

the overall course is short and precise. The course assignment has questions that are not taught during the course.

By Patrik A

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Jul 5, 2021

Very fun and very good course.

Some issues at the end when working with Dash - but all in all - MUCH RECOMMENDED!

By jeffrey w

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Mar 6, 2021

The final assignment needs more clarity. The mode should be 'external' by default to limit wide scale confusion.

By Shane W

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Dec 21, 2019

This was a valuable course, but the pacing may be a little too quick. It's a lot of different libraries to learn.

By Keerthi S

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Dec 1, 2019

I felt that the week 3 was somewhat rushes on the videos without much discussion. Otherwise, great learning tool!

By Gurrapu N

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Mar 29, 2020

Appreciate the content and visualization.

Labs dont work most of the time, it hinders the progress and momentum

By Aravindan N

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Aug 9, 2019

Excellent lab materials. But the presentations can include a bit more contents to explain the packages better.

By Asavari P

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Feb 2, 2021

The course was very informative, but seemed a little fast paced. A few more practice assignments would help

By Patrick M

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Jul 18, 2019

Videos were not helpful in learning the different visualizations you could make but the notebooks were.

By Sili L

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May 1, 2019

The class is too short to get into much details. The projects are much harder than those practice labs.

By C. G

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Apr 13, 2021

Other than the issues with the final assignment, I found this to be a very challenging but fun course.

By Ninad M K

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Jul 18, 2020

This course was good and gives me a clear understanding of how to use data visualization with python.

By Nicholas J F

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May 27, 2019

Good content, but again, in the final problem resources beyond the scope of the course were required.

By Muzamal A

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Apr 25, 2020

I just wish instructions were given more in details in the video rather than giving only assignments

By Thomas F

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Oct 11, 2019

Not great audio on the vidoes, but an excellent introduction to many python visualisation techniques

By Akil

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Jun 29, 2020

the final assignment was a bit more complicated than the labs and I had to look online for support.

By Nikola S

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Jul 29, 2021

In general, a good course. Some videos could be updated and there is some unnecessary repetitions.

By Xiao K

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Dec 24, 2019

The course itself is very useful, but the content in some of the lectures may need to be updated.

By g s

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Mar 22, 2024

Nice course, but some mistakes are there in the final assignment....That should be reviewed ASAP

By Adrian A

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Apr 2, 2022

Good content.

Note: assignment submission of answers into the format requested - time consuming.

By Daniel S d l G

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Jan 25, 2021

Some hands-on are more difficult than expected according to the level of examples on the course

By Liam M

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Jan 23, 2019

Really helpful, but some of the more complex topics are glossed over and require extra reading.

By Jesse Z

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Jun 18, 2019

Final project required a bit more google searching than I'd expect from an educational course.

By Shivam S

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Dec 15, 2020

Overall course was good, if more exposure to coding were provided than it can benefit a lot.