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## Learner Reviews & Feedback for Data Visualization with Python by IBM Skills Network

4.5
stars
10,776 ratings

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

AM

Aug 13, 2020

Great course, one of the best course to get hands-on learning for Data Visualization with Python. Particularly the lap exercise, it will make you think on every line of code you write. Excellent!!!

SS

Nov 20, 2019

It's a really great course with proper hands on time and the assignments are great too. i got enough opportunity to explore the things which were taught in the course. Really Satisfied. Thanks :)

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## 201 - 225 of 1,656 Reviews for Data Visualization with Python

By Dominic D S

Feb 3, 2023

It's out of date and the labs don't work properly.

By Leif

Jan 8, 2020

Awful. You don't learn anything you're tested on.

By Michael R

Aug 31, 2018

No support from moderators, plenty of typos.

By prattya d

Aug 3, 2018

Very few guidelines to complete assignments

By Federico D

Oct 14, 2019

Really bad course: too much redundance

By vicky t

Jul 24, 2019

worst course please update the lab pls

By Gauraw B

Jan 8, 2020

Course is not organized properly

By Alex H

Jan 10, 2023

Final assignment is horrible.

By Slim S

Dec 2, 2018

No documentation, no summary

By Besaleel F d A J

Dec 17, 2019

Very poor videos.

By akshay j

Apr 2, 2020

By Imtiaj A C ,

Apr 27, 2020

I have done other 2 courses in this specialization....but frankly speaking, this course was far better than those....the type of things that we handled in the lab was very interesting and also intriguing....in other courses, the labs were just about the same as the video lectures....no new things except one or two....but here, they were very thorough and we learnt a great deal of things outside of the video lectures.....

About the final assignment, i thought it would be boring and very noobish as i experienced in other two course....but to my surprise it was so great....it just put what i learnt in this course to a test and i had to do everything by myself....it was quite unlike the other ones where i was baby-fed by giving most of the code in a notebook and completing the rest which was so easy that it rarely felt like an assignment let alone the final one.....

And that is why loved this course very much.....about the labs, about what i learnt and about the final assignment....i genuinely think these are gonna help me to accomplish my goal for what i took this course....

And i would like to request the course instructors and maintainers to make other courses in this specialization like this one especially the labs and final assignment.

By Alex J C

Jul 11, 2020

I started, stopped, started, stopped, and started and finished this course. Partly because my job got demanding and I had to pause; partly because some of the concepts in this course weren't always clear the first time I looked at them. It was when I needed to create charts for my job and I was actually working with Python to do those assignments that the concepts in this course finally clicked. Once they did, I was able to push past the finish line.

With this happening, I remembered the important truth of coding skill: it's like a muscle. It only grows when you exercise it. That said, I wish this course offered more exercises (perhaps ungraded FYI exercises, or expanded lab work) in creating various charts.

The maps section rocked! That was, I think, my favorite part of the course, especially when creating the choropleth map for crime in San Francisco. I remember when I did GIS projects in my work 25 years ago, when specialized software ($15,000 -$20,000 per license) was required. Now, in just lines of Python code, you can create an even more precise map. Once I complete my certificate for data science in Python, I will be looking for GIS courses available at Coursera!

By Pedro F

May 5, 2021

Dear Teaching Staff, first of all, I want to apologize with you for some of my firts post on the Course Forum. I wrote them very upset because I did Not get at 1st time the results expected as I use to. Sorry for that.!!! Said that; I want to give you a feedback in order to improve the courses yet to come. It is Ok when teachers show you the A, B, C of any topic and then, expect from you with the final assignment the students´ showing the the X, Y and Z of that topic in question. I do not have any problem with that. I fact I remember at The University the the teachers did exactly that. The diference is, they did explain those expectations at the very begining of the course. This course is far from copy or paste code as someone said on the Forum, but although all of you were very diligents with the doubts, mistakes we made, the problem with the Jupyter lab, etc. I think that you should had explain better the A, B, C of the course making the Quizes more challenging since the begining. That´s all I like to say to you. Again thanks a lot for such an inteletual and learning experience. I´ll keep going trough this path!!!TY

By USMAN Z M

Mar 26, 2023

I recently had the pleasure of taking the "Data Visualization with Python" course, and I must say it was an absolute game-changer for me. The course was packed with information, yet still accessible and easy to follow.

From the very beginning, I was blown away by the instructor's expertise and teaching style. He took the time to explain everything in detail and provide real-world examples that helped me fully grasp the concepts. The course covered everything from basic plotting with Matplotlib to advanced visualizations using Seaborn and Plotly.

What really stood out to me was how the course focused on the practical application of data visualization in real-world scenarios. By the end of the course, I had the skills and knowledge to create stunning and informative visualizations that could be used in presentations, reports, and more.

Overall, I cannot recommend this course enough. Whether you're a beginner looking to learn the fundamentals of data visualization or an experienced data scientist looking to take your skills to the next level, this course is an absolute must-try.

By Venkatachalapathy P

Jan 2, 2021

The course was great - I learned a lot of the python visualization packages. The end of module Labs could have been broken down into smaller units at logical boundaries. While they were good I found them very long for one sitting. More focus on Artist layer would help - anyway the real world problems would require fair amount of programming.

On the other side, I had encountered some technical questions which I posted in the forum. There was no response from the course staff - I spent nearly 2 days fighting for a column title in the final assignment and was hoping someone will try to help. As much as possible, I try to find the solution myself and also help others in similar situation, I did need some help on two occasions in the final assignment which I could not get.

All in all a great experience!

By Alpesh G

Aug 21, 2021

The course starts with the introduction and history of Visualization, Matplotlib and its architecture. Followed by introduction and hands-on experience of Histogram, barcharts, boxplots, scatter plot and bubble charts. This course also introduced the advanced visualization tools like Folium for visualizing Geospatial Data, along with Plotly, Plotly.graph_objects, and Plotly express command, also understood how a dashboard can be used to answer critical business questions. At the end the course ends with Peer Graded Assignment to get hands-on practice of everything learnt and made a dashboard.

Thank you Coursera and IBM for this amazing learning experience.

By Rohit B

Mar 6, 2020

The course really highlights the power of Python's visualisation. It is really cool to see the charts as well as map functionality that comes free with Python. With some basic programming experience, far more powerful visuals can be created than some very high-end off the shelf programs. I really liked the features such as Word Cloud as well as Choropleth maps.

Improvements:

1 The videos can be a trimmed a bit - Almost every video re-iterated the data cleanup exercise, which got repeatitive after the first 2 videos.

2 More examples of map related lab exercises would be very helpful for those like me who want to delve into this further.

By Marius-Liviu B

Dec 28, 2021

Even this is not an exhaustive course about data visualization, after taking this course I've learned a lot about libraries and concepts that were new to me (such as Waffle Charts, Folium and Dash). The integration with IBM cloud services is awesome but some more work needs to be taken on Theia web based app (it takes some time to load and the right side including the editor is not always loading so you have to try several times until you have a functional app). I'm giving this course a 5 star rating, even with the Theia tiny problems and I'm confident that IBM and Coursera teams will continue to improve the materials and tools.

By Deleted A

Jul 23, 2020

Powered by detail-oriented labs, this course amazes the learners with what can be achieved using Visualization libraries. The course beautifully covers all the plots used by Data Scientists in day-to-day life along with their variations. Going through this course, the learner takes a step towards mastering the art of storytelling, something expected of a good Data Scientist. Nowhere you would feel that prior knowlegde of Visualization is necessary to assimilate the concepts taught.

Lectures are great and so are the videos. The team really must have worked hard to make this course interesting. Loved it!

By Klaus-Dieter W

Aug 15, 2020

This was a pleasant experience! Fiddling with the bar chart to remove labels and ticks on the y axis, as well as the annotation of the percentages on top of the bars turned out to be more work than expected, but is was fun! I had not used Choropleth maps until now, so this was really cool. Folium is awesome! Supposed that you plan an update of the course, you might want to take into consideration that the more recent versions of Folium seemingly had a change in the way Choropleth maps are called.

In summary, thanks a lot for putting a lot of work into this course!

By Рашид У

May 23, 2020

Жаль, что я не начал знакомство с Python вообще, и с данной темой в частности, с данного курса. Но лучше поздно чем никогда . Все курсы данной специализации от IBM заслуживают высшей оценки - такой проработанной подачи материала, такого уровня подготовки я не встречал.

Все курсы из данной специализации - это готовые методички, которые можно потом использовать в повседневной работе. Ничего лишнего, всё по делу. Спасибо всем, кто принимал участие в создании курсов данной специализации от IBM - я восхищен!

By Hoang V A

Sep 19, 2018

The course is great , especially with the support of the instructor. However, because we do not have solutions for final assignment, I do not know whether my code/code structure was appropriate, efficient, effective, smart, tidy even the result was correct. Code structures also my concern. I coded 5-6 lines, steps to get the correct result while others may use only 1 line to get one. That's really matter i think so.

Thanks anyway.

By Md. A A J

Apr 11, 2020

This course focused on hands on examples for practicing Matplotlib and python on IBM cognitive lab for data visualization using different tools. Also all videos and lecturers made are great and helpful to show graph, plot , charts and maps. The course contents are clear, precise and lecturer is very knowledgeable.

Joining and getting help from course mates and moderates in discussion forum is Excellent!

Ashfaque A. Joarder

By Rahul B

Jun 21, 2020

Firstly, I want to thank wholeheartedly to the instructor Alex Akson sir, all the lab sessions were great. The content was very elegantly balanced as it was neither hard nor easy, I feel like I learnt a lot of things. The explanation of every plot/topic was very easy . Final assignment took a little bit more time but it was totally worth it. Thank you again for teaching this course. I appreciate all your efforts.