Great course and interesting open challenges to solve.

Very good and insightful. A lot of studying and researching to complete the course. Still by far the best graphing course using programming languages.

Nice course! Great introdction to matplotlib.

interesting

Great course addressing not only the programming part, but focusing a lot on the art of data visualization.

U-M and Coursera together brought a great and very interesting course. Great that the learners get exposed to various aspects of DS, be it the concepts , trends etc. A great platform for participants to learn together and experiment. Course introduces what is relevant in the industry and provide multiple opportunities to apply the learning. On top that it is laced with interesting challenges, not a cake-walk -:)

My sincere thanks to U-M, Coursera, teaching staff and all who made this happen

这个课程作得相当棒， 绝对值得推荐。

There are so many components to plotting that I didn't take into consideration, and this is after having gone through a Master's program in statistics. I have taken many of the simple things into mind each time I create a visualization at my job. Thus far, I have found the first two courses in this series invaluable and highly recommend it!

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 !

Excellent

This course gives fundamental skills for data scientists

Pretty awesome course! it's not a walk in the park, though. If you do love data science, and apply what you learn on the course, with some grit and perseverance, you'll prevail.

The best practical approach to data visualisation.

Comprehensive and practical introduction to mathplotlib and data visualization in general. Highly recommended.

Perfect, insightful, deep, challenging! I love the way prof. Christofer Brooks teach Data Science. Interactive IPython notebooks enables creativity to implement lecture notes right in the browser during watching lections.

I enrolled to "Applied Plotting, Charting & Data Representation in Python" course right after finishing the first "Python for Data Science" module. This is one of the best experiencies I got during my online education.

There are a very active forum discussions on this course, people and course staff are helpful.

Next, I want to enroll next courses of the Specialization.

Also I would like to say "Thank you" to course team and Coursera for the financial aid opportunity.

Good introduction to Matplotlib. course was very engaging and I learned a lot from it.

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.

Very hands-on course. Instructor won't teach everything. Students need to do some search on the internet to complete the assignment. It is not that easy but quite rewarding!

Fun course that was fairly challenging. Good introduction to using Matplotlib.

Very good course, solid introduction to matplotlib and interesting assignments. I was skeptical about the peer review format at first, but then I embraced it - good choice! I liked how the course built on the foundations of the previous one. To pass the assignments I had to use Python, pandas, matplotlib and other tools combined!

Excellent course! not for beginners though. Intensive work assignment, made it possible to work hard on charting. I learned a lot!

excellent course, lot of learning, very useful; people with interest in data viz should definitely enrol in this course.

The only course so far I have seen which covers so much useful visualization information and great depth material.

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.

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