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Learner Reviews & Feedback for Reproducible Research by Johns Hopkins University

4,113 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


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."

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276 - 300 of 580 Reviews for Reproducible Research

By Gopal B

Apr 4, 2016

Great course!! Go GO RPENG!!

By Tomasz S

Sep 4, 2019

Extremely important course.

By Roland P

Nov 22, 2017

Great course, very relevant

By Henrique C

Feb 4, 2016

Great Course, Learned a lot

By Raju G

Sep 15, 2017

excellent publishing skill

By Muhammed A I

Nov 2, 2016

nice learn about the graph

By Guilherme

Mar 7, 2016

Practical, and well paced.

By Denis G

Mar 13, 2018

Extremely useful course !

By Venkatesh

Jul 3, 2017

Very well designed course

By Abhinav K

Jun 10, 2016

Don't wait!!! just enroll

By Diana

Sep 3, 2020

Very practical projects!

By David W

Mar 22, 2020

Very interesting content

By Baburaj V

Jul 20, 2018

Nicely explained topics.

By Valentin K

Apr 19, 2017

Very interesting course

By Michael M

Apr 3, 2017

Good intro to the topic

By Haydee S

Mar 15, 2017

Extremely useful!!!


By Emanuele M

Aug 8, 2016

foundamental. well done

By mehdi s

Feb 21, 2022

Everything is perfect.

By Shin-Fu C

Feb 9, 2020


By Gary T

Dec 19, 2019

Very critical course!!

By Alessandro S

Jan 30, 2018

That's a great course.

By Divvya T

Nov 1, 2017

good course to take !!

By Mohankumar S

May 8, 2017

Nice course to explore

By Marcus S S

Jan 29, 2017

Very important course!

By Tanuj

May 5, 2018

Amazing course guides