This was a very informational course, when you can visually see actual trends that has happened in the history or interesting facts from all over the world, with proper data backing up. What I liked the fact was how Tufte's and Cairo's principles are strongly emphasized throughout the course to get the best results possible.

It took lots of self-motivation and self-learning in addition to viewing the videos and the course Notebook. It could be challenging if you are willing to dig into fancier plotting options. But in the end, I had a super satisfying experience, 5 ⭐s! Looking back at the projects, I was amazed how I accomplished them!

Course was very well-framed. It actually covers all the possible parts of Matplotlib in a well-paced & content-rich lectures with real world problems as Assignments.

I would request my peer learners to take up a Statistics Course which will make this more clear as one can co-relate the plots & the stats behind them.

You really need to do so much of hard work to complete the course specially in completing the assignments. The author is very fast in teaching, if you want to follow him with the lecture do revise the concepts many times in a week. But I will say it was an amazing experience in this course of specialisation.

I enjoyed learning about different plotting schemes with matplotlib. The assignments were very information to learn and explore new plotting techniques. The interactive graphics was interesting to know. seaborn is really powerful and elegant viewing schema. I want to use this in my day-to-day work too.

What I like about this course is its pace and content. It can be a bit un-nerving in the beginning since the lessons are pacey. But that is what is great about online courses. You can re watch the videos and refer to the notebook examples provided to catch up. Most important - the content is great !

It's a really good course for data visualization, it starts from very basic of visualization including Cairo's Parameters, ethics behind visualizing data and then provide an understanding of matplotlib, seaborn and other visualization related libraries. Assignments are really helpful and amazing.

Wow, it was a very interesting and challenging 4 weeks, I can not even compare my knowledge now to the time I started to this course, I learned a lot, searched a lot and coded a lot. I am happy now that I can create infographics, and gained a good background about what a good infographic is

Great intro to plotting in Python with particular focus on plotting pandas dataframes. The course covers a large variety of topics without moving too slowing, it keeps the pace up as a sort of whirl-wind intro tour that gives you a lot of useful background knowledge and some good practice.

Anyone looking to enhance their skills in data visualizations using Matplotlib should enroll to this course, it exceeded my expectations not only treating Python technical aspects but also visualization design topics like the principles of Edward Tufte and the teachings of Alberto Cairo.

This course is excellent! They don't teach everything but you will learn the basics and be able to explore on your own. Don't let the comments from lazy learners get you. It's one of the best courses I have taken here. The first course is very good too. I'm currently working on the third.

This is a hard course for many people as it requires much statistical knowledge which leads to hunting through a lot of resources to understand those concepts and finally coming back here and failing and trying until you are finally satisfied with what you created. Excellent Course.

Excellent course with in depth explanations. It is well structured. It learn me to applied Plotting, charting and Data representation in Python from very basics to optimum level. It help me to understand details of using Python to Applied Plotting, Charting and Representing Data.

This is a fantastic course. The lecturer is amazing and I learned tons of information about publication quality charts and data cleaning.

It takes plenty of time though.

I recommend this course to anyone serious in learning data science. At least to those starting in this area.

The structure of the course is very well thought out. Building up from basics to more sophisticated levels, from simple tasks to very demanding problems.

I also liked that it maintains a cerain level of knowledge of participants so things from the prev courses aren't repeated

I really liked the course because apart from teaching the skills of creating visualizations, the course tends to focus on the bigger questions: why choose a particular template, how would others perceive what you are trying to convey. Relatively easier than the first course.

Excellent course: well structured and high quality lectures. Besides, it's properly connected with the first course of the specialization and the material preserves its focus on Data Science. I completely suggest taking this course (especially after taking the first one).

Great course!! It requires to dedicate several hours per week but it's a very good investment. Teachers, contents are very good as well than materials. Assignments are very well aligned with the course objectives and they are really profitable in terms of learning on job.

A decent course which went deep into theory of data visualization. It really helped me get the concepts from the roots.

But one drawback is that you have to spend a lot more time reading articles they provide and some other resources you find online for a proper learning.

It's awesome, the course is incredible, I've learnt a lot of thing about python, I'd like to know more about similar python course like this. this specialization its vast to improve your knowledge in programming with python. I'm glad to took this course. Simply awesome.

Aewsome course, If you want to dive, deep inside matplotlib, build, beautiful, interactive, animated plots, and figures then this is the course to choose. Assignments can be har but after you complete it, your knowledge level and confidence will reach another level.

The concepts and theory explained in the course are perfect for building a solid foundation for data representation, highly recommended for anyone looking to improve in their data-science skills and understanding of the science behind extracting insights from data.

By the end of the course, you would produce industry-grade plot or at least you will have an idea on how to produce one. The course encourages a lot of self-research and the topics are covered very quickly. Still, I would rate this course a 5. It helped me a lot.

Applied Plotting, Charting & Data Representation in Python unveiled all Matplotlib capabilities as well as provide me all background to do truthful, functional, beauty, insightful and enlightening charts. I am sure that my charts will not be as in the past.

I highly recommend this class Though we cannot remember all the things the instructor delivered here, it really provided me a way to se how significant the toolkit can achieve. And the rest relied on ourselves such as referencing documentation.Great class.