Chevron Left
返回到 可重复性研究

学生对 约翰霍普金斯大学 提供的 可重复性研究 的评价和反馈

4,133 个评分


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....



Feb 12, 2016

My favorite course, at least it gives me an argument why scripted statistics is awesome and can be applied to a number of data related activities. Recycling chunks of code has proven useful to me.


Aug 19, 2020

A very important course that greatly improved my ability to communicate the findings of any sort of data analysis that I perform. This is a critical skill to acquire to "deliver the means."


1 - 可重复性研究 的 25 个评论(共 582 个)

创建者 Chris M

Apr 9, 2016

创建者 Dzmitry S

May 10, 2016

创建者 Rahul M

Dec 20, 2017

创建者 Daniel P

Mar 6, 2020

创建者 Jill B

Mar 30, 2016

创建者 Matthew P

Dec 18, 2016

创建者 Chandrakanth K

Oct 7, 2017

创建者 Ashwath M

Mar 19, 2016

创建者 Michal K

May 12, 2016

创建者 Jackson C

Apr 3, 2016

创建者 Paul J

Apr 9, 2016


Oct 11, 2017

创建者 Matt S

Mar 5, 2019

创建者 Andaru P

Feb 12, 2016

创建者 Jason T

Jul 23, 2017

创建者 Ishwarya M

Aug 10, 2019

创建者 Joe D

Aug 1, 2019

创建者 Diana H

Feb 23, 2021

创建者 Huynh L D

Jun 17, 2016

创建者 Nataliia M

Jan 24, 2017

创建者 Diego-MX

May 23, 2016

创建者 Samer M

May 27, 2020

创建者 Alejandro C T

Mar 18, 2016

创建者 José A R N

Oct 20, 2016

创建者 Antonio F

Jan 3, 2017