Ratings and Reviews for Applied Plotting, Charting & Data Representation in Python

Some of the contents need to be up to date, there are functions descroved in the course that will be obsolete soon.

Very interest

Overall an ok course, but unfortunately not in caliber as the first course in this specialization: Introduction to Data Science in Python. The course is sometimes very difficult and sometimes very easy. I understand that visualization is a hard topic to teach especially online, with a peer grading system but some improvements are needed to get full score. I learned much anyway and if you already done the first course and strive to get the specialization this is a no brainer. Cons: # The major bad thing, few guidelines/best practice how to implement different visualization styles, hints&tricks etc. I ended up to stack overflow and google for numerous hours to find out which coding style fit’s to solve the majority of tasks when more advanced visualizations needed to be achieved. # The matplotlib composition is complex in my opinion and it’s hard to understand what is: a instance, a static class or just a function callback etc. when invoking different matplotlib functions against artists, backend etc. This was the feeling during the first 3 weeks, not until the last week 4 and the final assignment I start to finally understand how to be efficient in matplotlib. Pros: # Considered the lack of best practice and more advanced examples forces you to learn by yourself (aka Coursera discussion forums, google, stack overflow etc.) This is great but I don’t think this was the intention when creating this course. # Great to give the possibility to use your own data in the final assignment in week 4. It was a real motivator for me to push myself to learn the most and finally start to write descent code from matplotlib point of view.

Nice course but poor feedback. Grades are made by other alumns and some of them doesn't take it seriously.

It shows exactly what is expected, it is similar to a master's class. The teacher explains the main concept and some methods to solve specific problems, but there are much more to learn. Therefore, look at this course as a guided course, more you search, better you become; Thus, it gives you hints, makes you think in a different perspective and allows you to understand what you have to do.

I expected to learn more.

Good course for a beginner. Teaches us how important it is to know how a good visual is supposed to be.

very impressive assignment and schedule for teaching the visualiaiton with Python

I learned so much from this course. The assignments were interesting and the lectures engaging. My one complaint is that as a complete beginner to this field (even after the Intro to Data Science w/ Python course), the assignments were incredibly difficult. Completing them was often a several week endeavor, but finally completing the work was always satisfying.

Very good