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Learner Reviews & Feedback for Reproducible Research by Johns Hopkins University

4.6
stars
4,065 ratings
584 reviews

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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351 - 375 of 567 Reviews for Reproducible Research

By Sanyam M

Jan 9, 2018

Good course

By Darshan

Jun 19, 2017

Nice course

By Mohammad F H

Oct 25, 2016

Add polish.

By hippo d

May 12, 2021

Thank you.

By Efejiro A

May 22, 2018

Excellent.

By 杜一芃

Feb 21, 2018

excellent!

By Larry G

Feb 7, 2017

Very good!

By giovanni b

Mar 14, 2021

great job

By Flt L G R

Jun 30, 2020

THANKS...

By Onédio S S J

Dec 16, 2019

Excelent!

By Pitak P

Oct 10, 2019

Thank you

By Ganapathi N K

Apr 30, 2018

Very Good

By Luis M M R

Mar 4, 2018

very good

By Veronica F V M

Aug 1, 2017

Muy bueno

By Ahmed M K

Jun 20, 2017

Excellent

By 刘博

Mar 2, 2017

good work

By Carlos R

Dec 26, 2016

Excelente

By saroj r

May 14, 2016

i like it

By 杜冈桃

Oct 7, 2017

Perfect

By Sanjay B

Oct 27, 2020

Great.

By Medha B

Oct 18, 2020

Great.

By Adán H

Nov 6, 2017

thanks

By zhao m

Nov 1, 2016

good.

By manoj k

Aug 31, 2016

Great

By Chandan K S

Nov 13, 2020

nice