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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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1226 - 1250 of 1,795 Reviews for Data Visualization with Python

By Daniel E

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Mar 12, 2020

Not all code examples were explained thoroughly enough within the labs, definitely not within the videos. Generally a good overview though.

By Vladimir D N

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Dec 16, 2018

Overall good course that goes through basics. It would be nice to get the students to write more code in the ungraded external tool (labs).

By Wayne K

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Jun 29, 2020

Could use a little more detail in the lectures, especially in the code being shown. Example, Folium library. Overall met expectations.

By Eden

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Feb 4, 2020

Very interesting summary of different graphs I saw in my life, though the data can't be imported to the Jupyter notebook for exercises.

By Luis A R P

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Aug 7, 2020

Great course with a lot of avaliable tools for using in data analysis. Although i'd enhance the didactive material offered in the labs

By Meenakshi S A

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Apr 29, 2020

A very good course which begins with the basics of visualization and then dives deep into various kinds of visualization techniques.

By Reid Z

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Mar 12, 2021

Good overview, sometimes a little too much copy and pasty, not enough critical thinking required that would help solidify the ideas

By Aditya M

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Nov 12, 2020

Great course! lots of useful visualization techniques were covered. Final project was very good. Quality of videos can be improved.

By Hrishikesh S

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Apr 11, 2020

Nice introductory course on basic visualisation patterns. Videos are short and needs additional readings and examples to work with.

By Amara C E

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Aug 13, 2021

I learned a lot. I was very challenged. The Dash programming needs to work early in the course to build confidence in the teacher.

By Aarya B

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Apr 5, 2020

course is great, but most of the content is covered in lab sessions. please if possible try to add more content in video lectures

By David K

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Dec 31, 2021

A bit more detailed explanation would be great in regards to the different codes we have to implement. (what function a code has)

By Matyas K

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Aug 4, 2023

Overall it was very interesting and I learned a lot. I wish the parts on dash and working with it would have been a bit clearer.

By Jennifer R

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Apr 26, 2020

Very interesting content! But, most quizzes test on content that wasn't taught in the course so the quizzes are very difficult.

By Oluwaseun O

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Jul 13, 2020

Comprehensive course with detailed lab practice to reinforce taught topics. Would be nice to have in-video quizzes for recaps.

By David C

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Feb 17, 2020

Good course, however, should add some additional readings on the topics. Because the videos don't develop too much the topics.

By Fredrik S

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Apr 24, 2021

Liked the course, but way to hard final exam. Had to hack and make all sorts of twist and turns to get the dashboard running.

By JAINAM C

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Feb 11, 2021

This course provides a good and brief knowledge about data visualization and the labs and final project are also satisfying.

By Teodor-George C

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Oct 29, 2018

good basics + interesting things like maps. Only 4 stars because I find map visualization interesting but not very useful

By Ludovico P

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Jun 23, 2020

Overall a nice module. Unfortunately Folium didn't load on Watson Studio and could have been explained in more details.

By Franck A B K

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Feb 16, 2020

Very interesting course! I've learnt diverse tools about data visualization, and I'm ready to apply them in my projects.

By bob n

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Nov 5, 2020

Delivered in nice size chunks. Labs useful. Would like more practical exercises. Good final peer graded assignment.

By Frank S

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May 19, 2019

To much emphesis in the quiz on terrian tiles - that is something you can look up, seem no reasonable to know by hard.

By Diana

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Jun 21, 2020

Very useful lab sessions, but only the Mapbox Bright is now unavailable. I hope its installation can be updated soon.

By Nicholas F

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Jul 13, 2021

Content is generally fine but some of the questions in the quizzes are very poorly worded and difficult to decipher.