26 juin 2020
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 ..
13 mai 2020
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.
par Felipe L•
9 févr. 2018
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.
par Radha S•
16 sept. 2019
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
par yannick t•
25 mars 2018
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.
par Lawrence O•
29 mars 2017
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.
par Roberto C•
15 oct. 2019
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.
par Li J•
11 sept. 2017
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)
par Juan J O P•
16 avr. 2020
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.
par Meher B•
23 août 2017
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.
par Simon S•
14 avr. 2018
This course is great. The instructor is highly knowledgeable, loves what he is doing and has a great sense of humor. I found this course to be highly useful for me and would definitely recommend it to anyone.
par Marcelo l g•
27 avr. 2021
Very good course to learn the basics of plotting and many tools to create amazing charts. Only problem is the peer review which encourage so much copy and plagiarism, please find a solution for this problem.
par Roger S•
6 juin 2020
Demanding course, not only on Matplotlib. I appreciated that the creators designed the course more like an university seminar. It's more on data science in general than just becoming acquainted with the API.
par Vincent H•
29 juin 2020
Very good to learn and applicate python matplotlib methods in 4 weeks. Prepare time to work if you can progress, integrate the knowledge (10 to 20 hours by week increasing if your are not python specialist)
par Sai V•
12 avr. 2018
Terrific introduction to data visualization through Python. It gives you enough knowledge to make very good use of the content, all the while giving you freedom to go build something of very high quality.
28 juin 2017
Excellent class, hands-on assignment really make you progress. The class builds up on the previous course (pandas).
I felt I really learnt something that would stick and not be forgotten after a few weeks
par Alan E•
28 janv. 2018
I loved the range of great techniques covered in this course. I learned a lot through the course and have some great new tools and ideas that I can use for generating insightful graphs. Thanks very much!
par Pieter J V V V•
13 févr. 2019
Inspires you to create attractive visualisations with a balanced representation, while creating something what you really want, while actively suggesting to explore the API to get to that result.
par Javkhlan B•
12 janv. 2022
Beautifully designed course to grasp and utilize the knowledge gained. Also the assignments are meant to utilize real world data and practical solutions to it! wonder course, highly recommended!
par Tejas n•
3 sept. 2020
Excellent Course as the previous one in this specialization. One of the things I liked is the skills gained in previous course are required to start the assignment. Very well designed as always
par Lawnardo S•
30 oct. 2020
Thanks for the course! Now, I can apply what I learned from here to many applications in my study/work. It's a useful course; heads up for those who wants to be able to plot charts with Python
par LIM h•
13 juin 2018
After listening to this lecture, I think I learned how to use Python to express the analyzed data appropriately to people other than me. I wish you all the best for your continued development.
par Lu E•
1 oct. 2017
it is a good course to help me have a glance to the data visualization area. However, I think I cannot learned a lot from the course and the homework is so easy that I haven't practice enough.
par Richa C•
19 juin 2020
It was a great learning experience as an individual is forced to explore all the official documentations of plotting and charting.The assignments were also very versatile .Loved the course!
par Данил Ш•
9 févr. 2021
Good course, but I think it is not deep enough. Matplotlib is quite superficial and almost nothing about Seaborn. Anyway I liked this course, but it is not as good in-depth as the previous
par Katrina-Kay A•
28 sept. 2020
Each week for this course is fantastic, but where it really shines is in the final project, which gives you the freedom to apply the techniques you have learned to your interests/passions.
par Thoriqul A•
13 sept. 2020
Nice course to study more aplicable to become data science. this provide any basic ploting that give insight and knowledge how to build data visualization more efectively and insightfull