SS
3. März 2016
This is a great introduction to some of the many ways to present your data. It's probably the easiest course in the specialisation but shows off an impressive array of widgets and gadgets.
RS
18. Nov. 2018
This course was amazing, it could definetly be more deep in each of the subjects, but gives you so much practice in tools that are very useful in the day by day of a data scientist
von MUZAFFAR B H -
•24. Okt. 2017
I learn a lot of building data products and presentation from this course, which later can be used on my analysis or academic work. Although there might be another better tools available out there, at least I can start from what I have learn from this course.
von Jan K
•2. Aug. 2017
To me so far the best course in the Specialization. Everything laid out very clearly, a multitude of useful packages and techniques. The assignments were really informative and the final one was outright satisfying to do. I was happy to take this course.
von Bruno R S
•20. Apr. 2019
this curious course teaches about tools and techniques for communication with audiences on data science. some tools are very interesting and deserve a deep research from the learner, this course is mostly informative about the potential of such tools.
von Dr N J T P
•23. Aug. 2017
Tough to get the assignments and everything up and published but a good practical course. I started this course a while ago but life got busy and I had to pull out. There have been changes to the course since then and it has made the course better.
von ARVIND K S
•7. Juni 2020
One of the finest courses and specializations on Data Science, It lays the foundations of creating new apps,, doing their documentation and making presentations. Some useful projects will keep you engrossed, and enhance the learning experience.
von Brynjólfur G J
•24. Sep. 2017
This course taught me very exciting things and I am looking forward to making shiny apps for my portfolio. It may have been way too easy and quick to finish, though. I barely needed a week. A bigger assignment with leaflet would have been nice.
von Nino P
•24. Mai 2019
In terms of practical data science in R, this is the most usefull course in the specialization. Here you can learn a lot about very important R packages such as shiny, MarkDown, leaflet,... Highly recommendable and very, very important.
von Philip T
•1. Mai 2017
A very good coverage on creating interactive charts using various facilities such as plotly, google vis, and the shiny app framework. The knowledge is very practical to be used immediately for my day-to-day work.
von Sanjay F
•8. Juli 2017
This was an exceptional course. The assignments and projects were thought provoking. Can we get some assignments/projects linked to this course so that we could apply our learning and earn some money as well?
von Regis O
•31. Dez. 2016
This course is packed with rich content that draws on all of the data science concepts in the other 8 courses. The best part is leaning how to use Shinyio so it is easy to share R analysis and visualizations.
von Leonardo A
•16. Dez. 2015
This is very useful course and I using most of the items especially shiny and slidify, and other tools, I have recommended this course of all my colleages. Now I'm writting my reports with RStudio.
von Stefan S
•4. März 2016
This is a great introduction to some of the many ways to present your data. It's probably the easiest course in the specialisation but shows off an impressive array of widgets and gadgets.
von Olmedo A A M
•23. Aug. 2021
It was excellent. I think that you could add other packages like flexdashboard or in the shinydashboard library in the shiny package. So we get other advance features as a data product.
von Rafael S
•19. Nov. 2018
This course was amazing, it could definetly be more deep in each of the subjects, but gives you so much practice in tools that are very useful in the day by day of a data scientist
von José A G R
•5. Feb. 2017
A course where you can show everything learned in the R language, especially in visualizations.
I hope and in the future there are courses focused only on visualization with R
von Ashutosh B
•13. März 2016
Although it is an easy course to pass, it is very important in content. It teaches the finishing moves, the ones you'll need after all your hard work. 5-star without doubt.
von Juan E F N
•1. Sep. 2017
Brian Caffo is the best! No one could explain better than him. Congratulations for this excellent course, you are my inspiration to become a better data scientist.
von Leonardo Z
•25. März 2020
There are some concepts that should be disclosed as pre-requisites for this course. I had to re-sit this course not for the content but for the pre-requisites.
von Juan A J R
•17. Feb. 2016
The course not only instroduce me to great resources it also pointed me in the right direction to further develop the skills needed to create data products.
von Keidzh S
•6. Aug. 2018
This course helped to get the knowledge how to create shiny apps and r packages. Very usefull, thank you every lecturer and masters how create this course.
von JC C
•27. Dez. 2016
Excellent course, well delivered and adapted that help to build a structured output from a statistical analysis. I would recommend this course to anyone.
von Yadder A
•8. Jan. 2020
All that I learned on this course it's totally helpful. I loved this course because I feel that learn a lot of new useful tools that I can use in my work.
von Rok B
•28. Aug. 2019
It is a very good course. There's quite some work, but the content isn't hard. Make sure you update your RStudio for all the features to work correctly
von Alimohammad P
•9. Okt. 2019
Out of the other 8 modules, I personally liked this one the most. Here is where you put into practice what you've have learned so far. Great job guys!
von Shubham K
•1. Aug. 2019
It is a good course provide neccessary stuffs for data science.
You can skip week 4 as it is done previously in other courses . Small and good course.