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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
1,865 個評分
349 個審閱

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....

熱門審閱

SS

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.

RS

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

篩選依據:

51 - 数据产品开发 的 75 個評論(共 348 個)

創建者 Kevin S

Mar 03, 2016

This one's a keeper -- learning to do both Shiny apps and Slidify/RPres will be quite useful in the near future. Thanks.

創建者 Sebastian R

Oct 20, 2017

Awesome course! At the end you will build your first shiny app.

創建者 Qian N

May 30, 2017

The course introduced some of the cool features in Shiny App. and other plot packages in R. Skills obtained can be used to showcase your analysis result, conduct more in-depth data exploration, and potentially used to build writing/analysis samples in job application.

創建者 Jorge P

Jan 22, 2018

Very good

創建者 Larry G

Feb 07, 2017

Nice

創建者 Ashutosh B

Mar 13, 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.

創建者 Gustavo E L

Mar 14, 2016

This will help you jump from office applications to more self developed products.

創建者 Jared P

Jun 25, 2017

Loved this course. Would recommend it. I particularly enjoyed learning Leaflet and Shiny Apps.

創建者 João R

Aug 26, 2017

Really useful stuff and easy to follow instructions.

創建者 Jennyfer C

Dec 27, 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.

創建者 Patricio C

Oct 24, 2016

Very useful

創建者 Francisco G

Jan 07, 2018

I would dedicate more time to shiny and reduce the time of number of lessons devoted to RMarkdown.

創建者 Carlos M B B

Sep 08, 2017

A fully practical approach.

創建者 João P S

Dec 03, 2016

Very good

創建者 Philip T

May 02, 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.

創建者 Partha S G

May 08, 2017

I was a good exposure to data products building. Would be great to have something advanced on the topics.

創建者 Rodney A J

Jul 30, 2017

This is a great course.

創建者 Stefan S

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.

創建者 Alejandro B G

Feb 09, 2016

This Course was georgeous!!, i like the way of share my analisis, shiny rules!

創建者 FERRAN B C

Feb 28, 2016

Great course. Very practical and state-of-the-art contents.

創建者 Sai K G

Feb 01, 2016

Good course. Teaches you to take advantage of Shiny, Slidify, GoogleVis and Rpubs

創建者 Xray W

Feb 22, 2016

Saves the time to explore the options on your own, nice one!

創建者 José A G R

Feb 05, 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

創建者 Renato O F

Sep 03, 2017

Amazing course! Lots of good and very useful information.

創建者 Francisco A O A

Feb 08, 2016

Very practice oriented. After completing the Data Science Specialization courses with the course of Developing Data Products, I finally understand how important and useful R Programming is as a tool for research, data managing and inference making and for communicating results. Excellent way to crown the specialization's courses.