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Learner Reviews & Feedback for Reproducible Research by Johns Hopkins University

4.6
stars
4,180 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

YM

Jul 22, 2017

Learning Knitr was cool. However, many of the slides were not directly relevant to the course. I think, more rigor can be added, or this course can be merged with one of the others.

RG

Apr 29, 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 589 Reviews for Reproducible Research

By Deepak S

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Oct 31, 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 15, 2021

good course by the beginnings of works

By Amsalu B B

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Jun 27, 2020

The case study was really interesting!

By Steven V

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Sep 23, 2016

Excellent course, extremely practical.

By Paul A

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May 22, 2016

Great introduction to reproducibility.

By Mona G

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Sep 18, 2022

i am developing good coding skills

By Mohammad B H

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May 26, 2017

Excellent class and great instructor!

By Charles D

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Oct 19, 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 21, 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 26, 2020

Thank you very much for this course

By Nataliia M

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Jul 21, 2017

I liked this course. Really usefull

By Edith

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Jun 13, 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 23, 2017

This should be a mandatory course.

By sagar s

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Sep 11, 2017

Its too good for getting exited!.

By Naeem K

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Aug 8, 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 28, 2017

excelente curso e instructores!!

By Rodrigo A d S R

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Sep 5, 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 30, 2016

Best course, I have come cross.

By Robert J C

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Aug 24, 2019

It's good to learn R Markdown.