2020년 6월 26일
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 ..
2020년 5월 13일
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.
교육 기관: Lawrence O•
2017년 3월 29일
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.
교육 기관: Roberto C•
2019년 10월 15일
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.
교육 기관: Li J•
2017년 9월 11일
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)
교육 기관: Juan J O P•
2020년 4월 16일
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.
교육 기관: Meher B•
2017년 8월 23일
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.
교육 기관: Simon S•
2018년 4월 14일
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.
교육 기관: Marcelo l g•
2021년 4월 27일
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.
교육 기관: Roger S•
2020년 6월 6일
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.
교육 기관: Vincent H•
2020년 6월 29일
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)
교육 기관: Sai V•
2018년 4월 12일
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.
교육 기관: CBO•
2017년 6월 28일
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
교육 기관: Alan E•
2018년 1월 28일
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!
교육 기관: Pieter J V V V•
2019년 2월 13일
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.
교육 기관: Javkhlan B•
2022년 1월 12일
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!
교육 기관: Tejas n•
2020년 9월 3일
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
교육 기관: Lawnardo S•
2020년 10월 30일
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
교육 기관: LIM h•
2018년 6월 13일
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.
교육 기관: Lu E•
2017년 10월 1일
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.
교육 기관: Richa C•
2020년 6월 19일
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!
교육 기관: Данил Ш•
2021년 2월 9일
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
교육 기관: Katrina-Kay A•
2020년 9월 28일
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.
교육 기관: Thoriqul A•
2020년 9월 13일
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
교육 기관: Anurag D•
2020년 8월 31일
AMAZING COURSE!!!! Taught me a lot about matplotlib. Thank you Coursera for offering us this opportunity and learn something new. Amazing instructor and the assignments were well at par.
교육 기관: Gowri T•
2019년 9월 24일
Excellent introduction to matplotlib and hands on projects to learn the concepts. I'm happy with the visualizations I've built. Also got a foundation to delve further into this field.
교육 기관: Tautvydas•
2020년 11월 14일
Good starting course for data representation in Python. Gave a different view on charts in general. Also, assignments gave me the inspiration to apply course material in practice.