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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,467 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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151 - 175 of 1,792 Reviews for Data Visualization with Python

By Gabriel A

•

May 18, 2020

This course is in need of a healthy overhaul from content to lab to final assignment. I would recommend adding a recap "week" just for data frame manipulation. As with many of the courses, the labs could use some proofreading and updating, this course skips around a lot.

By Aniruddha P

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Sep 21, 2019

The course can be made much more better. The final course assignment wasn't much based on the things that were taught during the course. Example could be using the labels above the bar.

On the bright side, the contents were really good. Thanks to the instructors! :)

By Elvijs M

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Apr 18, 2020

As all the other courses in the specialization, the depth is rather shallow. The seaborn and folium parts are extremely short and superficial. Good luck if you actually want to apply these libraries for your own projects -- then you're back to googling.

By Jason A

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Jul 3, 2021

The final project was a huge waste of time. You have to program in the Dash tool which most will never use and it only works on the IBM cloud which most will never use. The Jupyter dash programs didn't work which was a common complaint in the forums.

By Gisella B

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Mar 10, 2020

Hay una sección que repiten en casi todos los videos. Además no funcionan los laboratorios desde hace días , no puedo hacer el trabajo final porque tampoco sirve el link y no hay manera de comunicarse con los de servicio al cliente de coursera.

By Pokkunuri S C

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Aug 23, 2019

The videos had low sound quality, almost all videos had same recording for initial 2 minutes which was unnecessary. The final project had use of many such functions which were neither discussed in the videos nor explained in the Ungraded Tools.

By Adam H

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Jul 25, 2019

Had some problems with changes to the interface that caused quiz questions to become unreadable. Also found some of the discussion around artist and scripting layer in matplolib difficult to follow. Could have done with more explanation.

By Connor F

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Apr 5, 2020

The marking rubric on the final assignment gave 5 points or no points for a table, so there was no way to give part marks. Also the previous labs did not show how to add the SF map in the same way as the final assignment.

By Prajwal T

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Mar 17, 2020

As compared to other courses in specialization, this course has many errors in labs. Video sessions are also less informative. All the things directly come to lab only. Also error resolution by faculty is very poor.

By Nikos N

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Jan 2, 2023

A great course for the first 3 weeks, but week 4 and the final assignment where horribly explained and executed. The final exams queation were also poorly written and anything involving code was just a mess.

By Fernando E V

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Aug 29, 2021

The level of dificulty of the final assignment does not correspond with the contents. It was so difficult and there were a lot of issues related to the platform. I spent more than two months in this course.

By Panos P

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May 2, 2019

The final project was way difficult. Which is fine, difficult is fine, as long as the knowledge on how to solve it is provided by you in the lecture notes\videos\lab sessions. I mean that is your job right?

By 清基 英

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Mar 22, 2020

I was so upset for the last project because knowledge of I have learned from this course was not enough as all for completing all the questions. I really wish to get more advice or tips for the project.

By Stephen V

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Mar 26, 2020

Doing the IBM Data Science Certificate and this is probably the worse course. The content is relevant but the directions and labs are poor compared to the others. The explanations aren't as clearn.

By Tara S

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Mar 25, 2020

A lot of problems opening the labs. The final assignment required us to do things that were not discussed in the course and it was unclear where to get the relevant information to complete it.

By Federico T

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Apr 23, 2020

Video lessons are poor in explanation of matplotlib syntax as well labs. Differences between pyplot and artist layer are not clear: a lot of work has left to selftaught. Kind regards, FT

By Ermek A

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Apr 28, 2020

Some exercises throughout the course aren't explained neither in the video, nor in the labs.

It is hard to understand the Authors data visualization functions explanations in the course.

By Sarthak S

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Mar 14, 2021

The Dashboard week is a mess, nothing is explained enough and the final assignment is awful broken code wreck that maybe works for only about half the people.

By Diana

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Apr 9, 2020

This Course wasn't that good like the previous ones, the Videos were quite short and the labs weren't very explicit and made to be understood by everyone.

By Ieuan J

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Dec 14, 2022

My least favourite module on the course. Week 1-3 were pretty good but I genuinely can't believe I paid to sit through week 4 and 5.

By Andrew S

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Jun 24, 2020

Not everything that was needed in the final project was covered well enough (or at all) in the videos and lectures

By vijay v

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Jun 10, 2020

Very theoretical, Quiz questions were made over complicated. this make loose interest in completing the course

By Minh T

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Jul 26, 2023

The instructions for the final assignment are very unclear, making it super hard to do and submit

By Mark B

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Jul 26, 2022

The dash part of the course and the final assignment were super confusing, very poorly explained.

By Tse-Kee C

•

Mar 24, 2022

Very frustrating experience with lab. Not all labs works properly at least on my home computer.