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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-products
课程评论:没有评论
课程名称:开发数据产品 课程概述:数据产品是统计分析的产出,旨在自动化复杂的分析任务或利用技术扩展数据驱动模型、算法或推断的实用性。本课程将介绍使用Shiny、R包和交互式图形创建数据产品的基础知识。课程重点是数据产品的统计基本原理,以便能够向大众讲述数据背后的故事。 课程大纲: 第一部分:Shiny、GoogleVis 和 Plotly 描述:在这一模块中,您将学习如何在Shiny中开发基本应用程序和交互式图形,使用GoogleVis合成交互式HTML图形,并使用Plotly准备数据可视化。 第二部分:R Markdown 和 Leaflet 描述:在这模块中,我们将学习如何创建R Markdown文件并嵌入R代码。还将探索Leaflet,并使用它创建交互式注释地图。 第三部分:R包 描述:这一模块将深入探讨创建R包的世界,并练习开发包括使用Plotly构建的数据可视化的R Markdown演示。 第四部分:Swirl 和课程项目 描述:第4周专注于课程项目,制作一个Shiny应用程序和可复现的演示。 此课程将帮助您掌握构建数据产品的技能,并提升您在数据可视化和交互式图形领域的能力。
Part: 1
Title:Shiny, GoogleVis, and Plotly
Description: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.
Part: 2
Title:R Markdown and Leaflet
Description: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.
Part: 3
Title:R Packages
Description: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.
Part: 4
Title:Swirl and Course Project
Description:Week 4 is all about the Course Project, producing a Shiny Application and reproducible pitch.
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.