学生对 约翰霍普金斯大学 提供的 数据产品开发 的评价和反馈

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.

This course was more fun as it largely involved practical examples of programming skills. I did learn things from the examples but as always learned far more from the internet and posts about errors. The instructions for the final project are extremely confusing and few of my peers got them right. Since the discussion boards are dominated by requests for reviews they are almost worthless except for the clarifications posted by teaching staff.

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).

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.

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.

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.

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.

The course is a great survey of tools for sharing data analyses with R. Unfortunately, the content is already a little out-of-date because the technology is always developing.

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.

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

The concept itself was great, but there were numerous issues with the peer review exams, especially around the requirements.

This course isn't as clearly outlined or carefully prepared as the others in the Data Visualization specialization.

I have not received yet my certificated and I can't see it in the list. Is there something wrong?

Not bad. But I feel that this topic is more for those who likes to develop web products.

Good range of topics - updates to content would be useful --> eg http://jupyter.org

This course can be updated:

1) add swirl lessons.

2) add more video materials

The course is OK, but I'd rather learned app development with Python or Java.

Interesting but I had to learn most of the things here by my own

Lots of material in a short amount of time.

Updated and entertaining!!

Review took too long

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.

I am a developer and know how to create advanced websites. This course has less use for me as in my day job i create sophisticated websites

I didn't learn many data science concepts in this class

This was a fun course, but not particularly useful.