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.
提供方
约翰霍普金斯大学课程信息
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完成时间大约为10 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
您将学到的内容有
Develop basic applications and interactive graphics using GoogleVis
Use Leaflet to create interactive annotated maps
Build an R Markdown presentation that includes a data visualization
Create a data product that tells a story to a mass audience
您将获得的技能
InteractivityPlotlyWeb ApplicationR Programming
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
完成时间大约为10 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
提供方
约翰霍普金斯大学
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
教学大纲 - 您将从这门课程中学到什么
完成时间为 1 小时
Course Overview
In this overview module, we'll go over some information and resources to help you get started and succeed in the course.
完成时间为 1 小时
1 个视频 （总计 1 分钟）, 6 个阅读材料
完成时间为 3 小时
Shiny, GoogleVis, and Plotly
Now we can turn to the first substantive lessons. In this module, you'll learn how to develop basic applications and interactive graphics in shiny, compose interactive HTML graphics with GoogleVis, and prepare data visualizations with Plotly.
完成时间为 3 小时
24 个视频 （总计 124 分钟）, 2 个阅读材料, 1 个测验
完成时间为 2 小时
R Markdown and Leaflet
During this module, we'll learn how to create R Markdown files and embed R code in an Rmd. We'll also explore Leaflet and use it to create interactive annotated maps.
完成时间为 2 小时
12 个视频 （总计 45 分钟）, 1 个阅读材料, 2 个测验
完成时间为 3 小时
R Packages
In this module, we'll dive into the world of creating R packages and practice developing an R Markdown presentation that includes a data visualization built using Plotly.
完成时间为 3 小时
5 个视频 （总计 65 分钟）, 1 个阅读材料, 2 个测验
完成时间为 1 小时
Swirl and Course Project
Week 4 is all about the Course Project, producing a Shiny Application and reproducible pitch.
完成时间为 1 小时
3 个视频 （总计 16 分钟）, 1 个阅读材料, 1 个测验
审阅
来自数据产品开发的热门评论
由 VP 提供Apr 9, 2017
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
由 JC 提供May 4, 2016
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.
由 SR 提供Feb 13, 2018
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!
由 SS 提供Mar 3, 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.
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