数据产品开发
Learn the basics of creating data products using Shiny, R packages, and interactive graphics. This is the ninth course in the Johns Hopkins Data Science Specialization.
课程简介
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.
课程大纲
Students will learn how communicate using statistics and statistical products. Emphasis will be paid to communicating uncertainty in statistical results. Students will learn how to create simple Shiny web applications and R packages for their data products.
背景知识
先学习“数据科学家的常用工具”和“R语言编程”等“Data Science” 专项课程 。
授课形式
There will be weekly video lectures, quizzes, and peer assessments.
As part of this class you will be required to set up a GitHub account. GitHub is a tool for collaborative code sharing and editing. During this course and other courses in the Specialization you will be submitting links to files you publicly place in your GitHub account as part of peer evaluation. If you are concerned about preserving your anonymity you will need to set up an anonymous GitHub account and be careful not to include any information you do not want made available to peer evaluators.
常见问题
学完这门课,我能得到结课证书吗?
凡顺利完成本课程的学生均可获得由授课老师签发的结课证书。
选修这门课需要准备什么?
学生必须拥有一个激活的Github账户,并安装最新版的R语言和RStudio软件。
这门课与数据科学系列课程之间应该怎样合理安排?
这是该系列课程的第9部,我们强烈建议大家先学习《数据科学家的常用工具》和《R语言编程》、《回归模型》、《探索性数据分析》这几门课程。
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