学生对 密歇根大学 提供的 Applied Plotting, Charting & Data Representation in Python 的评价和反馈

Won't suggest this course unless you are high on confidence and want to lower it by a lot. The course should be better goal oriented, instructor should focus on explaining more, structure the assignments so that the students can follow the concepts.

A wonderful course. As a practitioner, I wasn't expecting much newer things but I gained knowledge at both the fronts; aesthetics and technicality of plotting graphs. I learned so many newer things. Thank you Professor for such a wonderful resource.

Excelente curso, me ayudará mucho a mejorar mis capacidades de visualización de datos además de darme la posibilidad de practicar mas los conocimientos previos. Verificando resultados oficiales en mi país de origen, Ecuador, siendo de Guayaquil.

Dr Brooks, himself an eminent researcher in Data Science himself, has made a well-laid out plan towards the data science learning track. The theory behind each application is also explained appropriately for better understanding of each topic.

This course requires you to look up the material yourself. Although the lectures provide a baseline, they are not at all useful for understanding matplotlib. However I find this useful because I did the research and was able to learn myself.

Good course. It is quite open that Dr. Chris taught us framework only, instead of detailed functions. That means we need a lot of effort to learn those functions from the framework to accomplish assignments. I certainly benefit from this.

This is a nice beginning to learn and use python. The assignments are very good to practice what I learned. I want to thank Dr.Brooks and all teaching staff. It 's super useful to go to the forum when I got confused in the assignment.

I really like this approach of the specialization. Data visualization is a great topic and this was very insightful for one week.

However as with all other courses in this specialization I miss qualified feedback on my submissions.

Very nice course with excellent instructors. Just the right amount of content provided to keep you indulged. Amazing assignments that make you learn things on your own as each and everything cannot be taught by the instructors.

I've learned a lot from this course. Not only python, but also the philosophy of plotting. Data ink ratio is really important. Thanks Chris. And also thanks to Filip. Many tricks you introduced are very impressive and useful.

Learn alot, but intermediate level, so you have to learn alot on your own and fill any gaps you have.

Great jump start and overview into real visualization. Like that its peer reviewed. Done professionally and academically.

Its an essential course for all data scientist and also analysts work with every day visualizations. This course taught me about many things of Matplotlib and pandas plots. which I am unable to learn from any other source.

Course was great. The material is very helpful for my research and career. One suggestion would be that when grading peers, the figure is shown larger. It was necessary for me to right click and open figure in new table.

I never really liked matplotlib very much; now I know why. Nonetheless, this course has taught me the utility of this library and why learning it is vital for any data scientist. The course is tough, but I learnt a lot.

Such a good course!

Dr Brooks is an amazing teacher.

Assignments are hard as always but you are forced to learn alot.

Peer review was fun except last one where I only review people that didnt put in any effort:(

Thanks Dr!

GREAT COURSE! I have learnt a lot about data analysis and presentation, which are "essential skills" for lots of other fields nowadays. For example, these skills will greatly help me with my research in neurobiology!

I was a bit apprehensive about this part, but once the course progressed the options for plotting and charting became clear, I learned a lot about this subject and I could have done with this information years ago !!

I really enjoyed this class. Rather than teaching only the computational tools, the instructor took the time to describe the fundamentals of data representation and to explain how to best communicate data in figures.

Excellent course I really enjoyed learning this course it has all the basic covered and doing the assignments helped me in my work. Thanks a lot for putting together this material and special thanks to the Professor

Knowing about Tufte's principles definitely changes the way I decode and make data visualizations.

And as to matplotlib, knowing what's under the hood takes (some of) the struggle out of my data visualization coding.

One of the Best Data Science Course ever. Very informative. I will recommend for all Data enthusiast wanting to know more about Python data plotting, charting and data representation.

I loved it, hope you will too.

This course is great, I learned a lot of data visualization techniques, thank you to Professor Christopher Brooks, the University of Michigan and Coursera for making this quality material available to the public.

Very hands-on and good way to practice problem-solving skills (you'll have to research ways to conquer the homework assignments such as checking Stack Overflow, course discussion forums and Python documentation)

Aside from the obvious skills of plotting, I learned about important principals to make good data representation. At the end of the course I realized I made more comprehensible and cleaner charts that before.

Excellent course with very good assignments and help. I learned a lot doing the assignments, following the lectures and reading through the discussion forum. Thanks to the professor and the teaching assistant.