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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,845 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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1726 - 1750 of 1,865 Reviews for Data Visualization with Python

By Hui Y O

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Aug 19, 2020

The assignment is overwhelmingly difficult. I understand it is important to do online research when completing the assignment, but I hope more clues and guidance will be provided step-by-step just like other courses within this IBM Data Science Certificate scope.

By Antonio C

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Aug 31, 2020

I think that was the hardest IBM Data Science module I have tried until now. Level of final exercise to me was munch more difficult than lab sessions , which is not fair.

Videos do not show anything relevant, lab sessions have been good.

By Annette H

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Sep 18, 2024

Some of the example plots don't follow best practices for visualization (I do appreciate that the instructors point out that pie charts are not very effective). There were many bugs in the final project that made it difficult to complete.

By David H

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Sep 3, 2024

Pretty deficient. Everything is read out loud by a bot. Module 4 and 5 start to have certain complexity but explanations are non-existent. It makes it decent the fact that you explore a wide variety of libraries and tools.

By Diego R

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Jun 10, 2022

IBM really needs to review this course from the ground up. THere are so many things that are not explained well enough. This is a very important part of the certification, so this course MUST be reviewed and improved.

By Montserrat C

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Jul 8, 2021

This course is too long for only one week. If you want to learn well all this matter you need more time.

Besides the material of the course didn't help too much, in fact, sometimes it makes you hesitate and be wrong

By Sascha T

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Sep 19, 2022

A lot of the learning was left to outside sources and websites, none of the labs worked properly and overall just poorly organized module from a normally well taught professional certificate.

By sayaka .

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May 27, 2021

Interesting course that gives a good overview of the possibilities to visualize data within Python. Unfortunately there were many lab issues so that it was challenging to complete all modules.

By Pierre F

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May 8, 2024

This course contained a large amount of information. I think the course material should explain things in more detail for beginners and the staff should be more helpful in their responses.

By Trevor S ( t I G

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Apr 11, 2021

Week 4 appears to be slapped on and the content isnt refined. Lab isnt really a lab, more of a non working coding example. Final project is... absolutely horrific and needs to be revised.

By Olivia V

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Dec 18, 2020

Very disappointing. Course is uneven, either too shallow or way too complicated. Final assignment, especially, is about material not detailed in the course. Many technical issues.

By Ali Y

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Feb 6, 2023

The firs 3 weeks we too good i really appreciate that but the fourth week were extremely bad.

The fourth week has no translation , a lot of problems on labs .

Thank_you.

By Williams A A R

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Jul 13, 2023

I had several issues by running the platform, I was not able to complete each hand-lab. I would like you to solve that problem. The syllabus is great, though.

By Alexander F

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May 28, 2021

Exercises have a chaotic layout. Course it's self is ok, technical support is good, but compared to the previous courses this one does not hold up in quality.

By Muthanna A A H

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May 28, 2020

The videos were very poor, and the methods given in the labs assignments did not cover some types of questions that were asked in the final assignment.

By Jayesh M

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Jul 29, 2019

The course content is good and well covered. However, in general, I would have expected less of Matplot and more of Seaborn. Seaborn is easy to learn.

By Nagulan B

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Feb 22, 2020

Very Irritating. Absolutely no guidance for the Assignment Questions which were not covered in the videos labs also. Wasted 3 days on the assignment

By Mark D

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Jul 31, 2023

The content was good in this course but the lack of proper grammar and sentence structure in the labs made discerning the requirements difficult.

By alessandro.schiavoni

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Jun 22, 2024

didn't enjoy it, it isn't well organized, topics need to be explained better, videos are difficult to follow. Only the labs are somewhat useful.

By Adriel T

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Jul 30, 2020

The videos were repetitive and the final required a lot of outside research/information since the content was not covered in the course.

By Clay S

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Dec 18, 2020

The general content was good, but did not review all of the skills needed for the final exam. That made the final very frustrating.

By guanyu w

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Aug 12, 2020

Very perfunctory video teaching, a lot of content in the lab needs to be Googled by urself

they teach nothing but give u the code

By Lee L

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Sep 8, 2020

The course videos, lab, and assignments do not really align in my opinion. I expected to learn more from the IBM's DS series.

By Ä°dil K

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Oct 3, 2020

The course material is not comprehensive enough and the final assignment is too hard for the things taught in the course.

By Rohin K

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Apr 5, 2020

The annotate function is not explained in the course making it very difficult, so please add more material on the same