Reproducible Research

开始时间: 07/04/2020 持续时间: Unknown

所在平台: Coursera

课程类别: 计算机科学

大学或机构: CourseraNew

   

课程主页: https://www.coursera.org/learn/reproducible-research

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课程详情

This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them. The need for reproducibility is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations. Reproducibility allows for people to focus on the actual content of a data analysis, rather than on superficial details reported in a written summary. In addition, reproducibility makes an analysis more useful to others because the data and code that actually conducted the analysis are available. This course will focus on literate statistical analysis tools which allow one to publish data analyses in a single document that allows others to easily execute the same analysis to obtain the same results.

可重现的研究:本课程侧重于以可重现的方式报告现代数据分析的概念和工具。可重复的研究是一种想法,即将数据分析(更广泛地说是科学主张)与它们的数据和软件代码一起发布,以便其他人可以验证发现并以此为基础。随着数据分析变得越来越复杂,涉及更大的数据集和更复杂的计算,对可重复性的需求急剧增加。可重复性使人们可以专注于数据分析的实际内容,而不是书面摘要中所报告的表面细节。此外,可重现性使分析对其他人更有用,因为可以使用实际进行分析的数据和代码。本课程将侧重于有文化素养的统计分析工具,使他们能够在单个文档中发布数据分析,从而使其他人可以轻松地执行相同的分析以获得相同的结果。

课程大纲

This week will cover the basic ideas of reproducible research since they may be unfamiliar to some of you. We also cover structuring and organizing a data analysis to help make it more reproducible. I recommend that you watch the videos in the order that they are listed on the web page, but watching the videos out of order isn't going to ruin the story.

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课程简介

This course focuses on the concepts and tools behind reporting modern data analyses in a reproducibl

课程标签

可重复研究 数据科学 数据科学专项

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