I thought the syllabus will cover only matplotlib and seaborn. I didn't expect to learn geospatial data visualization in this course. I learnt a great deal about folium and it's versatility. I feel it's a great addition to the course. Such modules will enable aspiring data scientists to expand their domain knowledge and excel in unorthodox data science areas.

Not sure if the creator gave enough tips and tricks to help provide solutions for the final assignment. I had to use alternate solutions not provided.

The examples given are good but quite simple in places, and only work in specific circumstances. This may be because there are simply too many solutions to go through in this short course.

While the course's material is very interesting and extremely helpful, there is a vast variety of different ways to visualisation and I'm afraid I had to search google for most of the last assignment's requirements.

I believe three weeks is not enough and there should be more exercises in this course. Other than that it was a thrill :)

The Data Visualization with Python course is really outstanding when compared to the others in this specialization. Alex is doing a great job explaining, the slides and examples are comprehensive, yet easily digestable. The in-depth exercises are the best in the whole specialization, quite challenging and therefore very effective.

This course outlines the importance of Visualization and where and how to use different type of representation such as Bar Graph, Area plot, Pie chart Scatter Plot, Box plot and others. The course also introduces to use of Plots to show Geo spatial data. and also introduces one to the different libraries used for plotting. .

The first properly challenging course I've encountered on Coursera and I loved every bit of it. I have an engineering background and I loved having to look for the answers on the internet and in the documentation. It wasn't simply spoonfed to me. If you pass this course, you will definitely gain proficiency in this subject!

Truly Awesome, I get a in-depth knowledge in this specialization and just precise content as well up to date. Correct combination of theory and explanation in detail then practical lab over recent topic covered then Project in each topic. Also final Capstone project is really rigorous. Thanks to Instructor and Coursera.

I completed this course as part of the IBM Data Science Professional Certificate and it was by far the best (so far, I have one more left). The videos were short and easy to understand, the labs were on point and many additional resources were offered. The instructor did a really good job when putting this together.

A well done course that really gives a decent overview and exposure to the python tools for data visualization. Although the projects take a bit of extra self studying and research to complete, the course provides a majority of other good sources to continue your understanding of the material beyond the lectures.

Very interesting course and a must take for people interested in learning powerful techniques with Python's Panda, Matplotlib and other libraries. At the end of the course, you will feel confident reading, manipulating and displaying data analysis in a wide array of graphs, charts and other stunning visual media.

I was a very difficult course for me but it was very instructive, I understood some of my weakness in Python and OOP so I need to work on that, now I know data visualization is a major topic in DS.

By the way, Google was a very useful tool to review new concepts for me and get ideas how to approach the problems.

Using python to create graphs and charts is very simple and easy, once u remember all the basic and keep trying. It seems to me that it is easier than any other reporting tools I used before. It is great that I know where to find the tool to create these charts and graphs if I need to prepare presentation. :)

Though the course videos were short, giving an introduction to how different charts look and to plot them, the lab sessions were the best and gave a plethora of information on data visualization. Also, I am glad that they included the folium part of the course in the assignments which were very well formed.

Nice lecturer and useful tools. This course was really interesting though pretty hard for me. Sadly at the end of the course I didn't feel that I gained enough skills to do the lab easily but maybe it just me. Anyway I ll definetely return to this course again to get the better understanding of some topics.

I really enjoyed this course! The labs used interesting, real-life data and did a good job explaining the purpose of each line of code in an easy-to-understand way. I appreciated the questions in the lab because they built on and stretched my understanding of Python from past courses. Thank you, Alex.

Really nice course. This course has helped me build up a number of Data Visualization skills, and I am able to draw meaning and conclusions from data easily and much faster. The course labs are excellent and the final assignment was a good way to test the skills that I developed during this course!

I feel this is harder than the other ones in the series, sometimes you need to google a little bit to figure it out.

I spend more time for a week, but I wonder why I have to do it in Python. I learn Python just for faster loops than R. Personally I think R need less coding and produce better graphs.

This is a very enjoyable course, even though I was familiar with most of the tools, I still got to learn a few new tricks. If you are not familiar with programming, you might find the final assignment a bit challenging. Therefore, I strongly recommend that you take the course labs very seriously.

Course is really good to learn all the fundamentals of data visualization along with the advance techniques to master it. Assignments and practices are designed very well by the instructors and you would have to put all your efforts to understand and master all the course. Kudos to the IBM team

Best course so far in the series. The labs are great, they make you really apply what you've learned.

The final assignment is a true test of your skill. You can't repeat what you've done in the labs or what you've seen in the videos. Perfect test of skill. I've learned a lot.

Thanks Alex Aklson.

The final assignment is excellent! It is not just straightforward but requires us to think and research, go beyond the basics learnt in this course. Amazing course! Just the right amount of videos, simple labs, and challenging yet effective assignment, I learnt a lot! Thank you Alex Aklson <3

This course consist of most of plotting types with python, it's not only about matplotlib, but addtional tools and methods to create maps. It gives you a fabulous understanding about visualization using python. Completing this course, you will be able to demonstrate the data in ways you want.

Though the videos were short and running fast the labs were well designed, the peer graded assignment is well prepared too. I feel more accomplished than before. Honestly, this course should've been suggested to be taken at least before 2 other courses that I already finished to get here.

It was very good and interesting how to create different kinds of maps for different purposes, specially I liked the maps that you can embed in an image like the wordcloud using a mask from Alice in Wonderland, I will try to do something similar with another topic. Thank you very much.

I appreciate the way the Instructor always (always!) refer back to previous lessons, so that the transition to the next lesson becomes seamless. The lab also reviews past exercises so you are not at a lost (especially if you have not gone through the course for a while).