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Learner Reviews & Feedback for Reproducible Research by Johns Hopkins University

4.6
stars
4,184 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

CT

Apr 22, 2019

This course is very helpful in terms of not only doing the analysis but also getting to know the finer nuances of making a structured markdown document for future reproducible.

RG

Apr 30, 2020

Great topic which is discussed well with a good case study. I'd like to see more up-to-date content and more detailed analytical techniques. However, it's a nice introduction!

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251 - 275 of 590 Reviews for Reproducible Research

By Deepak S

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Nov 1, 2017

good material and right for this course

By Sebastian R

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Apr 11, 2017

Great perspective of how to do science!

By Eduardo C

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Aug 16, 2021

good course by the beginnings of works

By Amsalu B B

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Jun 28, 2020

The case study was really interesting!

By Steven V

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Sep 24, 2016

Excellent course, extremely practical.

By Paul A

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May 23, 2016

Great introduction to reproducibility.

By Mona G

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Sep 19, 2022

i am developing good coding skills

By Mohammad B H

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May 27, 2017

Excellent class and great instructor!

By Charles D

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Oct 20, 2016

Nice course on reproducible research!

By JL X

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Mar 30, 2016

Very well organized course materials.

By Chadrick E

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Oct 22, 2018

Accessible and interesting material.

By karon

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Jun 2, 2016

learned some very valuable tools for

By Jeff D

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Oct 27, 2020

Thank you very much for this course

By Nataliia M

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Jul 22, 2017

I liked this course. Really usefull

By Edith

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Jun 14, 2016

Great course! I learned a lot. Thx.

By Alexandre N

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Feb 6, 2016

Some videos have bad audio quality.

By Thomas N

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Jan 24, 2017

This should be a mandatory course.

By sagar s

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Sep 12, 2017

Its too good for getting exited!.

By Naeem K

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Aug 9, 2016

Very well prepared and explained.

By Sandra G

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Nov 4, 2020

Excelent course, very practical.

By Brenda J R

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Aug 29, 2017

excelente curso e instructores!!

By Rodrigo A d S R

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Sep 6, 2018

Really cool concept and pratice

By Danish K

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Nov 28, 2016

Awesome course. Must to have!!!

By Ghazouan S

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Oct 31, 2016

Best course, I have come cross.

By Robert J C

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Aug 25, 2019

It's good to learn R Markdown.