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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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351 - 375 of 1,795 Reviews for Data Visualization with Python

By Aditya R

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Feb 18, 2024

A great course to learn data visualization tools in Python. Although this took me nearly 2 months to complete this course, it has been a great learning experience.

By Михайло М

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Sep 25, 2022

Great course, shows a lot of methods and instruments for visualizing of wrapped information. Vital as part of all IBM Data Analysis course, so totally recommend.

By Ellen P

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Nov 13, 2021

Very practical skills learned in the lab session to visualize data, also the lecture covered quite broad spectrums of types of visualization, Highly recommended.

By Siripat W

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Sep 25, 2018

I love final assignment, that's too hard for me at the beginning, but it's turns out to be very easy when I figured out. I was overthinking for the condition. lol

By omar a

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Jul 31, 2021

Greate course, I learned some types of data Visualization. the lab excersice was amazing,when I imolement on assignment what I learn immaditly. Thank you so much

By vincent

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Sep 4, 2021

at first its seem we have a lot of trouble when we do practice using lab, but i turns its because we dont have pay attention to much for instruction that gived

By J C V

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Sep 19, 2019

Let's you know the methods and techniques that you can work on real-time scenarios. Final assignment will make you feel great letting you to work from scratch.

By Swatantraveer A

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Aug 20, 2020

Very well designed course. Clearly explains each module how to do it and then lab exercises gives us pretty good hands-on experience on the concepts we learn.

By Ahmed H M

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Jul 24, 2020

Very good course on understanding scripting layers and artist layers, as well as going over all basic graphs and advanced graphs. It was definitely rewarding!

By Giuseppe P

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Aug 13, 2020

It's an excellent data visualization course with Python, which is supported by external tools promoting knowledge and practice of what is seen in the course.

By JUAN J T R

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Jun 26, 2020

It's an excellent data visualization course with Python, which is supported by external tools promoting knowledge and practice of what is seen in the course.

By Bryce Y

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Feb 3, 2020

This course was presented in a way that challenged me more than other courses in this program. I was very happy to have been challenged to think critically.

By keerthi k

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Aug 7, 2020

The assignments carry some general templates for data visualization. Downloading jupyter notebooks of them helps me when i visualise some othe data. Thanks

By Jeevan J

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May 18, 2020

Among all the other courses in IBM Data Science, I liked how this course emphasized on the practicals while giving a good idea in the videos. Thank you Sir

By Vijayalakshmi K

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Jul 27, 2019

Lab materials are really good.. and the assignments in the course need additional research than the learning available in the course which is really good..

By Heraclio R

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Nov 4, 2018

Really like it, the maps are not working in MS Edge, and took me a lot of time to figure out, those thinks would be great to be announced in the training.

By Hieu D T

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Oct 17, 2020

the content is new and interesting to me personally, however some sample codes are now deprecated so you'll have to read the doc from PyPI of the package

By Karl J

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Feb 23, 2020

I had a good idea of basic statistical plots, but this course actually shows you how to make them attractive and effective for presentations and reports.

By Carlos N J

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Jan 13, 2020

Lots of in-depth labs. However, final assignment required some techniques that were not covered at all, so the difficulty was much higher than expected.

By Juliet M J

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Oct 27, 2019

A very good course! The Jupyter Notebooks are structured perfectly to follow the steps and action without difficulties. Had a great learning experience!

By Danijel S

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Dec 28, 2020

Thanks for the well-explained and comprehensible introduction to Data Visualization with Python. The best thing about this course was the lab sessions!

By Manoj M

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Apr 1, 2021

Good Course to understand the topics of data visualization and dashboard creation using Python libraries such as Matplotlib, Seaborn, bokeh and Plotly

By Kuber B

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Aug 7, 2020

The course is designed very well and each topic is explained in easy to understand manner. Also the labs are very well designed to clear the concepts.

By prakriti p

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Mar 23, 2020

I liked the assignment presented by the course. I learned from solving the problems. The constant error with the lab problems discouraged me at times.

By Greg H

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Oct 10, 2018

The tutorials are brilliant and very useful! Make sure to complete them and you will get an extremely beneficial intro to several visualisation tools.