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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,487 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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1526 - 1550 of 1,795 Reviews for Data Visualization with Python

By Tsungai J M

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Oct 25, 2019

There some information gaps in the labs and lectures that made the assignment quite challenging without seeking further external knowledge.

By Kevin G

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Oct 18, 2020

While the classes are interesting, the course should be updated.

Folium version is 0.11 now, not 0.5 anymore, and there is lots of changes.

By Tania P

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Aug 16, 2022

The labs need to be improved. They were had to follow and there was a lot of trial and error involved in order to complete the course.

By Timothy T

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Jan 14, 2024

the course should have been divided into fundamental and advanced visualizations. there are too many tools for one course to grasp

By Lin W

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Aug 3, 2019

The course content does not sync up with the assignment, you need to self-study about many other materials to get the certificate.

By Rahardito D

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Sep 29, 2021

Data Visualization with Python Course must be used on a certain date so that it is quite distracting to the target participants

By Charles J

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Apr 14, 2020

Actually I think the final assignment part 1 is too difficult for the videos and lab courses to draw the bar plot as required.

By Pedro F

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Aug 24, 2019

Video explanations and difficulty of the assignments don't match. Unnecessary long and tedious exercises. Needs to be revised.

By Matteo E

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Aug 1, 2019

The way topics are explained during lectures are not enough deeply treated for the final assignment. It is anyway interesting.

By Spataru N

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Oct 23, 2018

Out of all IBM courses so far, I didn't like this that much. IBM should put more emphasis on teaching database transformation.

By Robert T

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Jun 23, 2019

Not all of the tutorials rendered correctly. Information was good. Would have preferred more questions throughout the videos.

By Fan B

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Jan 4, 2022

not good, many typo in the lab instructions, many times the lab wont work out, i think this issue realy needs to be fixed.

By Paweł K

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May 2, 2019

Peer grade assignment in this course is far too hard and packed with a bunch of topics not directly covered in the curse.

By Mohammad Q

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Aug 23, 2019

Great overview course, I wish if there longer videos that explains the content.. not just trying to do the lab by myself

By Ramsrinivas A

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Jan 2, 2020

Part about Maps can be some what more extensive. The Thing taught in Lesson and Assignment does not maps section alone.

By amir s

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Sep 9, 2019

In general, it was a good course.

Some of the quizzes were very much based on syntax which I don't think is very useful.

By Sowmya S

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Feb 19, 2021

The course is good. However, instructions, support and details to actually help you learn and understand is useless.

By Mahmoud H

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Sep 4, 2019

The course is really good, but Matplotlib is not popular now. Plotly is trendy and more interactive than Matplotlip

By Danila M

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Aug 20, 2021

Many bugs in the practice labs and the final assignment is a way too far from the material that has been taught.

By Sokob C

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Jul 21, 2020

It was a difficult course but it could've been better if there were little short quizzes during all the videos.

By Pavan T

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Sep 18, 2023

NOT AS GOOD AS OTHER IBM DATA SCIENCE COURSES WHEN COMES TO DETAILING AND EXPLANATION. IT IS OVER SIMPLIFIED.

By Aman A

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Jun 5, 2020

A lot of techniques have not been covered in the module even though they did show up in the final assessment.

By Henrie E N

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May 29, 2020

The course content and labs are a bit light on context considering the work required in the final assignment.

By Mayank S

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Feb 12, 2020

Very less detail and seaborn was not covered which is better for visualisation than matplotlib in most cases.

By Jonathon V

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Apr 22, 2019

Some of the notebooks given did not function correctly, overall did not ruin the learning experience thought.