This course was really interesting and it was great learning experience.A big thanks to a instructor.

I got to know new things like folium library (most interesting library of python according to me)

The way of design this course is so interesting , quizes , lab session is so good ,Final assignment is great ,to increase skill on data visualization with python is best course on coursera

Very challenging, yet that's what make it's rewarding. Even though the course only takes 3 weeks, its difficulty is on par with the longer previous course. I enjoyed every problems on it!

This is a very helpful course. It introduces a variety of data visualization tools. The interesting practices in the lab sessions inspired me to explore different solutions for a problem.

This module is extremely important for Data Scientist. This module gives you the confidence on how to explore, manage, display and visualize data concept to meet end-users requirements...

The course was excellent. The Labs explained concepts clearly, and hands-on exercises solidified my understanding. Real-world applications were highlighted, enhancing practical skills.

Great Course, however, not sure where I will use the Dash Dashboarding. Overall this is a high demanding topic that pushed me to the limit and have learnt a lot by completing this course

content is good and easy to follow, the labs are a great way to practice and I love the challanging final exam. Didn't make it the first try, but all good, that's when you really learn.

Very good introduction to the use of graphics in Data Science, the labs helps to consolidate knowledge and skills and gives you the confidence that you are really learning the subject

It was great leraning to use various visualization plot technique using Python based libararies. I would reommned this course to be taken before "Data Analysis with Python" course!!

The videos, the labs and working with real data make the course just great! Excellent resource for learning to visualize data using Matplotlib, Pandas, Seaborn and Folium. Thank you

the first two weeks are neither difficult nor easy. But the last week is a litmus test, with the plotting and graphical data sets putting your mind on fire.

Thank you

Good course !

Excellent tutorials, great labs and fun exercises - visualization is one of the most satisfying things about data science, and it is no surprise that this course is very enjoyable!

Absolutely fantastic course. Super well structured, very clear and complete labs, great varied knowledge for visualization and lots of pandas as well, loved it. Thank you guys!

The course contents and lab work are appropriate and useful, however the final lab assignment using folium 0.5 to generate a choropleth layer was fraught with technical errors.

The best course in this specialization, so far. Great balance between theory and practice. Interesting and demanding exercises and assignment. Theory explained in friendly way.

It is an interesting course, most of the popular plot tools in python are introduced and well practiced. The final assignment helps to improve and extend the usage of tools.

A highly efficacious course for intermediate level Data Analyst enthusiast to enhance their skill over Data visualization techniques. I highly recommend to take the course.

This course gives a solid knowledge on creating visualizations with Python. Please have in mind that you have a good familiarity with Pandas to take the most of this course.

Great Learning. A truly good course which is very apt to the title. Learning clearly on the data distribution plots like Scatter, Boxplots, Folium and Geopandas. Must Learn.

Excellent course, especially the labs were very useful and served as a recap of what was learnt in the previous courses of this certification course. Very clear explanation.

Very useful and good explanation. The topics could have been subdivided more so the each tools could have been explained orally rather than working fully in the lab session

Video lectures are compact. To really get to know the matplotlib, a lot of work needs to be done during hands-on lab and self study. But it is a good introductory course.

This course is interesting to me and I really enjoyed the aspect of writing minimal code to generate exceptionally attractive and meanigiful geospatial maps. Thank you.

Data Visualization plays a vital role in ML. This course helps in understanding various visualization tools and plots. Nice course to know about matplotlib, folium, etc.