its actually a good course as it starts from fundamentals of visualization to the data visualization,the assignments this course provide are exciting and full of knowledge that you learn in course ..
I am going for the specialization and I know this is just the second course in it and I haven't even seen the further courses yet, but this is already my most favourite course in the specialization.
By Milan V•
A well-structured and useful course. The lectures were interesting and the programming assignments had a just-right level of difficulty. Good work.
By ILYA N•
This is a solid course in data visualization using matplotlib. The course includes a good theoretical discussion, as well as non-trivial homeworks.
By Paresh D•
Another great course by Christopher Brooks.This specialization is more project oriented and has very little theory content,which I like.Great work.
By 15Y6C31 F K X A•
Great course, it would have been better If the course material delved deeper into what kind of plots will be useful when looking at a fresh problem
I was not sure what to expect as many other options for plotting data are available, but I thought the course was very interesting and insightful.
Nice Course ! I have learnt some principle of plotting and it helps me to view my graph more critically. Also, I enjoy the peer review assignment.
By Ankit Y•
This course is so wonderful. I realised the importance of charts and plots before and it sheds a whole new light on the topic.
By Blazej R•
Very good inspiration for exploring more on charting! I enjoyed and started using some of the techniques immediately in my field of occupation.
By Casey M•
Great content and challenging. I like how you can choose difficulty of some of the assignments to accommodate a broader range of skill levels.
By Luis D H Q•
This course is perfect for anyone that wants to learn about matplotlib, statistics, and making trustworthy visualizations as a data scientist.
By Julian O•
Really useful course showing lots of techniques to present data along with discussion of good design principles for effective presentation.
By Pranav I•
U-Mich has an excellent handle on how to tap into the student's curiosity and maintain engagement even in online courses. Very Impressive!
By Michail B•
Very good course! Particularly useful - and very essential to my view - that all the assignments are hands on and based on "real" cases!
By David T•
This is a good class as it builds on what you learned in the first class. I feel that I know have a better understanding of dataframes.
By muskan m•
It was quite difficult to understand this week ,and the most difficult portion was to do the project
But overall sir explained very well
By Robert H•
Nice overview of plotting, and some more advanced features. I was hoping for more snazzy visualizations, but this is a good foundation
By Ashtad J•
Good course about data visualization in Python. Also, the course discusses the fundamentals of good visualization that I found useful.
By MARTÍN R M M•
Excellent course. I knew how to do basic plots. This course take me to a next level making more interesting, useful and beauty plots.
By philip n•
I am currently in week 2 of the course, and I can say that I am enjoying myself. The course is insightful, and requires some thought.
By Aakash K•
The lectures are quite fast and hard to understand at one go but the assignments are pretty good to learn and understand the basics
By Adeel R•
Excellent course! not for beginners though. Intensive work assignment, made it possible to work hard on charting. I learned a lot!
By Michael O•
Good course, I particularly enjoyed the peer reviewed assignments, it was fun to learn the different methods that people employed.
By Kristen C•
Great instruction and introduction to matplotlib capabilities, includes opportunity to use your own creativity in the final assign
By Sergey K•
This course requires a lot of work, but brings you a strong experience in data plotting using several tools available for Python.
I like the fact that only only I can learn from doing assignments, but I also can absorb knowledge from judging peer assignments.