Mar 04, 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.
Feb 05, 2017
A course where you can show everything learned in the R language, especially in visualizations.\n\nI hope and in the future there are courses focused only on visualization with R
By João Freire•
Mar 16, 2019
Excellent course (like the previous 8 in the specialization) and very useful for anyone working with data and involved in data storytelling. Brian (the teacher) does an awesome job explaining the concepts and how the functions and scripts in R work and interact with each other to bring about shiny apps and other visualizations. A big "Thank you!" to everyone who created this course!
By Paul Ringsted•
Mar 14, 2019
A disappointing end to the pre-capstone lectures, taking the foot off the machine learning gas from course 8 with a detour back to tools and yet another Rmarkdown lecture. This basically covers building shiny apps (needed for the capstone), leaflet (maps), making presentations in RStudio - then gets lost in R Packages and Swirlify which are not very useful here. Some of this is needed in the capstone, but this course can be compressed and combined with earlier courses and make room here for something more substantial at this late stage in the specialization.
By César Arquero•
Feb 18, 2019
Demanding if you are not used to do this kind of things, but, worth It if you give yourself a time to get into it.
By Raul Martinez•
Feb 14, 2019
It is a nice class but many of the topic were already covered on previous class of the specialization. If this is the only class you will take, it is okay but it you are taking the whole specialization this is like doing few (not all) things again
By Daniel J. Rodriguez•
Feb 12, 2019
This class includes a lot of introductory content an a good measure of hands-on practice. It also provides a great amount of resources and reference material for the learners to expand their knowledge further.
By Vijay Bhagwandas•
Feb 08, 2019
Review took too long
By Lucicleyton Henrique de Farias•
Feb 06, 2019
The syllabus is very unbalanced through the weeks. For example the week 01 could be split into two weeks . The week 04, in my view, is unnecessary.
By Mohammad Abuarar•
Jan 30, 2019
Great course, practical and very informative
Jan 17, 2019
A lot of useful parts for visualization here! plotly and shiny are super useful in a business context. swirl and leaflet a bit niche perhaps.
By Saah Nendjou Thibaut Gaëtan•
Dec 29, 2018
I learned how to build shiny application and today I'm very happy!