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學生對 约翰霍普金斯大学 提供的 数据产品开发 的評價和反饋

4.6
2,188 個評分
406 條評論

課程概述

A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand the utility of a data informed model, algorithm or inference. This course covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a data product that can be used to tell a story about data to a mass audience....

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SS
2016年3月3日

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
2018年11月18日

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

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301 - 数据产品开发 的 325 個評論(共 405 個)

創建者 PL Y

2015年12月3日

This course gives a good introduction on how to develop an application.

It gives all the available tools in the field out for us to try and use them.

The course is enjoyable and not stressful. I find the assignment as meant to get us to do the project and not really there to fail us. It is difficult to fail to course as only the minimum is required.

創建者 Greg A

2018年2月22日

Analysis is useless if done for its own sake. Once you have found something interesting the challenge is finding engaging ways to share your insights. This course is a bit scattered since it covers so many different ways of publishing and presenting data, but it is a really nice survey of what is out there.

創建者 Joana P

2018年5月10日

I lost myself a little bit, because the materials were a little over the place, we did shiny in the first week lectures and only in the last week the project was about it.

Same with leaflet, I think ti could be structured differently.

But i find them very relevant so that is the reason why I rated it with 4.

創建者 Kim K

2018年8月8日

You will need to be familiar with the subject in order to keep up with the assignments or put in a large amount of time to learn. The forums are helpful and other students are great. Visit the shinyapps.io website for Shiny Apps and slidify research. Rigorous and rewarding when you put the work in.

創建者 Raul M

2019年2月14日

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

創建者 Matthew C

2018年1月5日

Good course, but it was a little light on content. Probably the easiest month of the specialization aside from the first one. The assignments were too easy too pass. Good intro to some very interesting packages (leaflet, shiny, google vis) though.

創建者 Erika G

2016年8月22日

I enjoyed the class, but was frustrated when it came time to get my Slidify to work on GitHub (since RPubs wasn't publishing them correctly.) I had to convert it to RPres (which was easy, thankfully) in order to get my project submitted in time.

創建者 Yuriy V

2016年3月10日

I liked the course and found it informative, but wish there were more stuff on Shiny Widgets and Input/Output/Render topic. R Shiny tutorial is pretty good, but I was hoping more relevant info about those topics from this course.

創建者 Rishabh J

2017年8月23日

This was just a quick overview of different technologies out there to help creating various types of interactive graphics in R. But I would have preferred if at least one of those technologies were explored in more detail.

創建者 Daniel J R

2019年2月12日

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.

創建者 VIPULKUMAR P

2017年4月10日

Nice course and good classmates. It's very focus oriented and gives very good idea of Shiny, Rmarkdown, plotly and how to publish documents on github, Rpubs and other online sites. I learnt power of R

創建者 Jason M C

2016年5月4日

Compared to the other classes in the JHU Data Science specialization, this one is pretty laid back. It's useful information, and teaches a few nice tricks on how to present data analysis results.

創建者 Sreeja R

2018年2月14日

This course lacked required information of help to get started. Now thanks to some posts by mentors i was able to successfully complete the Capstone project. Overall a very good experience!

創建者 Ramy H

2018年1月28日

Interesting topic, touching on many field. I believe it was quite informative as it applies on the previous modules knowledge into this one. However it didn't touch deeper on each topic.

創建者 Jeffrey E T

2016年3月28日

Good overview of available tools. Lack of practice exercises makes preparing for quizzes difficult. However, the course project does a good job to get your feet wet with Shiny Apps.

創建者 Andrew V

2017年5月31日

Good course, but I felt it was a bit easy to get good marks on the assignments with a minimum effort assignment. Some of the ones I marked were very little to do with data-science.

創建者 Iain L

2020年12月16日

Interesting, practical course. Gives a broad overview of R Markdown, Shiny, interactive plots (Gvis/Plotly), incorporating maps via Leaflet and creating your own training courses.

創建者 Luiz E B J

2020年3月7日

The content is very interesting, brings a lot of knowledge to develop good presentation and analysis. Could me more focused in just one option to go further an deep. Recomend!

創建者 Johnny C

2018年11月21日

I have learned a lot. The course is simple and very useful. Maybe the assignments should improve because the directions are a bit vague, but in general I liked it.

創建者 Julian J

2016年2月13日

Although all coursera courses are same, the peer assessment is very useful for this course. It's very helpful to see products made by other people.

創建者 MD A

2017年6月5日

Would be nice to add some optional references, reading materials or videos covering "Creating Data Products with Python and Python stacks"

創建者 Rafael M

2019年7月24日

Excelente curso, 4 estrellas debido a que las instrucciones para revisión no son tan claras y los compañeros revisan de forma subjetiva.

創建者 Johan J

2016年12月16日

Awesome course. Overview of all the things you need to become part of the data science community in terms of contributing and sharing.

創建者 Jorge L

2018年4月25日

Excellent content. I was expecting more examples related to the industry, such as data products for data journals, telcos, etc.

創建者 Federico G

2018年9月9日

Really good course, but for the time invested I think they could have gone a bit deeper in some areas. I enjoyed it though :)