OK
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 ..
RM
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 Jeffrey D R
•24 juil. 2018
This course is not as challenging as Course 1, unless you find visualization difficult. As with Course 1, the instruction is good but brief, and you'll need to dig through various resources to find the details you'll need to complete the assignments.
par Sebastian J
•31 juil. 2020
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.
par Aamir M K
•14 oct. 2019
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.
par Joffre L V
•4 oct. 2020
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.
par SAIKAT D
•2 mars 2021
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.
par Christopher S
•31 janv. 2021
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.
par Owen Z
•28 juin 2020
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.
par Dongliang Z
•4 déc. 2017
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.
par Mark M
•8 juin 2017
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.
par Mihir T
•16 sept. 2020
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.
par Jun W
•29 juil. 2018
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.
par Carolyn O
•19 août 2019
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.
par SRIHARI
•16 mai 2017
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.
par Kyaw S
•4 mai 2019
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.
par Ahmed F
•28 sept. 2020
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.
par Jayadev H
•1 juin 2018
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!
par Wenlei Y
•13 oct. 2019
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!
par David K
•17 janv. 2020
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 !!
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.