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Learner Reviews & Feedback for Reproducible Research by Johns Hopkins University

4.6
stars
4,133 ratings

About the Course

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....

Top reviews

AA

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.

RR

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."

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26 - 50 of 582 Reviews for Reproducible Research

By Kalle H

Dec 7, 2017

By João F

Dec 25, 2017

By David N

Nov 22, 2016

By Shashikesh M

Jun 30, 2017

By Sujata E

Dec 11, 2017

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Nov 9, 2017

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Sep 26, 2020

By Keith H

Jul 18, 2020

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Jul 1, 2020

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Oct 31, 2017

By Ailsa D

Apr 6, 2018

By Robert D

Nov 14, 2016

By Carlos M

May 1, 2017

By Sidclay J d S

Jun 14, 2020

By Павел П

Feb 1, 2016

By Roberto D

Nov 18, 2016

By Emmet C

Sep 6, 2017

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Sep 25, 2017

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Aug 28, 2017

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Jul 9, 2017

By Yusuf E

Feb 1, 2018

By Молоков М В

Mar 28, 2017

By Esteban R F

Oct 23, 2019