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.
Nov 19, 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
By Anup K M•
Oct 30, 2018
By Helmut D•
Nov 24, 2016
By BAKHOUCH T•
Oct 30, 2016
By Timothy V B•
May 19, 2017
By Jeremy O•
Mar 10, 2017
By David L•
Apr 12, 2016
By Manoj P•
Jul 19, 2017
By Rajib K•
May 18, 2017
By Sharon E•
Oct 26, 2020
This was actually one of the best modules on this specialisation in terms of the videos giving sufficient guidance and information to complete the quizzes and courseworks. For once Brian Caffo's videos were understandable and didn't put me to sleep. I took so long to realise it was actually him, there was such a step-change improvement in his presentation style.
One way to improve the videos for me would be to briefly flash up and example of what they're teaching us to make with the code before they go into the code details - that would really help me to figure out what each line does without having to watch each video twice.
By Piyush V•
Jan 05, 2018
This is an okayish course. One should ideally complete it in 3-4 days max. Or an expert can complete in 1 sitting. Gives you a good basic introduction to plot_ly and shiny apps. Rest you are the one who has to play around a lot with online dummy datasets.
One major takeway for me is that: Weekly client reports which hardly change or change a bit and are currently done in excel, can be done in R-shiny with all those tabs and drop down features (similar to building dashboard). You only need to have licensed shiny app profile for data security issues.
By Allen C L•
Dec 21, 2016
The course introduces us to a ton of valuable material for developing data products. But it is up to the student to have the initiative to dig deeper into the material by going through the various API reference documentations in order to create the final data applications. I'm not sure there is a better way to teach this course; but it felt like I was left to my own devices to complete the course. In a way it was a good learning experience to have to complete the assignments without much hand-holding from the instructors.
By Miguel C•
May 15, 2020
I enjoyed this course more than I thought I would. I enjoyed learning about googleVis, Plotly, Leaflet but especially Shiny. I think Shiny apps are quite useful (although a bit frustrating to program), and the course project was one of my favorite of the whole specialisation.
Some of the content I didn't find very interesting, such as building R packages or swirl lessons, and other times it felt repetitive, especially RStudio presenter.
Overall, I enjoyed the course and I would recommend it to other people.
By Brandon K•
Apr 06, 2016
The class was OK. This was the topic I was most excited to get to in the specialization, so I started playing around with Shiny, Slidify, and other tools ahead of time. Because I had gained some basic familiarity with those packages, this class was a bit of a letdown. I was happy with the week on making R packages. That was all new and fascinating. If you're looking for something more advanced than a very basic overview, you may want to look elsewhere.
By Ytsen d B•
Aug 15, 2017
From this course I took away how to make shiny apps.
This is very useful and fun to do.
There was much more material covered in the course, but that was not tested via the assignments.
That means that passing the course does not ensure that you actually master these subjects as well (one example is creating and publishing a new R package).
By Jo S•
May 04, 2016
The course is fine in the content. As usual, the presentation from Brian Caffo is rather rushed and stumbling. A better presenting style would improve the course no end, but ultimately, what is covered is what you need. I generally just avoid the videos and read the slides.
By Guilherme B D J•
Oct 13, 2016
Although I really liked the content of this course, the videos seemed to be have been done with rush. Many of the explanations were started but not finished and the presenter had many breaks during his speech to think or to go back with a better explanation.
By Marco S C•
May 23, 2016
This module is not the same level as the previous ones, giving a superficial view of several package but not on any deepens. The application development was the positive part of the module.
Jul 06, 2016
Nice course, but the discussion forum are not the same as in the old format. I also think that the shiny videos from Rstudio are better than the instructional videos in this course.
By Aaron W•
Aug 29, 2018
The course is a great survey of tools for sharing data analyses with R. Unfortunately, the content is already a little out-of-date because the technology is always developing.
By Léa F•
Feb 19, 2018
This course is clearly not the most interesting of the specialization regarding math/theoretical knowledge, but it helps you get to know a nice way of presenting your results.
By Vaibhav S•
Nov 13, 2016
A bit fast paced as they teach so many things in a single week. But the stuff they teach is surely great and makes you appreciate the beauty of R
By Jesse K•
Dec 27, 2018
The concept itself was great, but there were numerous issues with the peer review exams, especially around the requirements.
By Shreyas G M•
May 03, 2016
This course isn't as clearly outlined or carefully prepared as the others in the Data Visualization specialization.
By Alvaro B C•
Jan 18, 2016
I have not received yet my certificated and I can't see it in the list. Is there something wrong?
By Tai C M•
Oct 07, 2017
Not bad. But I feel that this topic is more for those who likes to develop web products.